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  • MPI Ethno. Forsch.  (106)
  • München UB
  • FID-SKA-Lizenzen
  • Online Resource  (106)
  • Safari, an O’Reilly Media Company.  (106)
  • [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions  (71)
  • [Erscheinungsort nicht ermittelbar] : Manning Publications  (35)
  • Electronic videos ; local  (106)
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  • MPI Ethno. Forsch.  (106)
  • München UB
  • FID-SKA-Lizenzen
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  • Online Resource  (106)
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  • 1
    Online Resource
    Online Resource
    MLOPs Foundations : Chapter 2 Walkthrough of Practical MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn the foundations of MLOPs Topics include: * Linux and Bash * AWS Cloud9 and AWS Cloud Shell and other Cloud Topics * The intuition behind MLOps techniques: optimization, gradient descent and data science.
    Note: Online resource; Title from title screen (viewed August 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Data Engineering with AWS Step Functions for the impatient (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use AWS Step Functions to solve problems
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Business Analytics and Data Science on Day 1 (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to get started on the right setup on your first day as a data scientist or business analytics professional. Topics include: * Business Analytics * Data Science * Google Colab * Jupyter * Github Actions and Github Codespaces * Continuous Integration and Delivery * EDA * GCP * AWS * Azure
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Get started with Conda (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Packaging in Python has always been polarizing. From complicated beginnings where you couldn't uninstall libraries, to virtualenv that allows you to work in a self-contained environment that can be thrown away. In this video, I'll present an introduction to Conda, and to a chanel-specific variation of it that is maintained by the community called miniforge. If you are looking for a way to get scientific packages for the new Apple M1 silicon, this video will also help you out get everything sorted, including installing versions of Python that are pre-packaged and ready for data science tasks. Topics include: * Install Conda by using the community version called miniforge. * Use conda to install a specific version of Python, without system installs * Find more about the differences between virtualenv, pip, and conda * Install data science libraries in the new Apple M1 silicon Useful links: * Conda documentation * Conda Forge community documentation * Conda miniforge project
    Note: Online resource; Title from title screen (viewed August 18, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Six Key Elements of MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn about six key elements of MLOPs based on the best-selling book Practical MLOps Topics include: * Source Code Management * Continuous Integration and Continuous Delivery * Development Environment * Deploy Environment * Microservices including Flask and FastAPI * Business Logic
    Note: Online resource; Title from title screen (viewed September 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Learn the foundations of Agile Project Management (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn the foundations of Agile Project Management in this quick video snippit featuring global technical project management expert Jerry Castro. Topics include: * Agile * Balancing chaos vs order * How to get started with Agile
    Note: Online resource; Title from title screen (viewed August 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Computer Vision MVPS (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build Computer Vision MVPs quickly using AutoML. Topics include: * Getting models into production * Apple Create ML * Google Vertex AI * Image Classification * CoreML * Tensorflow * Rapid Prototyping * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 28, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    GitOps and Kubernetes video edition (2021)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 12 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A really great book for understanding and implementing GitOps! Matthieu Evrin, AddÉnergie Technologies GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process. about the technology With GitOps you use the Git version control system to organize and manage your infrastructure just like any other codebase. It’s an excellent model for applications deployed as containers and pods on Kubernetes. about the book GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implement techniques so you can put GitOps into action. Learn to develop pipelines that trace changes, roll back mistakes, and audit container deployment. what's inside Managing secrets the GitOps way Controlling access with Git, Kubernetes, and Pipeline Branching, namespaces, and configuration about the audience For developers and operations engineers familiar with continuous delivery, Git, and Kubernetes. about the authors Billy Yuen , Alexander Matyushentsev , Todd Ekenstam , and Jesse Suen are principal engineers at Intuit. They are widely recognized for their work in GitOps for Kubernetes. Vital for understanding what GitOps is, and what tools will get you there. JChris Viner, Forged Development How to deliver operational excellence through industry-level practices. Satej Sahu, Honeywell This book takes two massively complex topics and breaks them down into understandable and approachable tools. Samuel Brown, Expel NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title screen (viewed February 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Fast, documented Machine Learning APIs with FastAPI (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Use FastAPI to expose an HTTP API for fast live predictions using an ONNX Machine Learning Model. FastAPI is a Python web framework that provides easy development of documented HTTP APIs by offering self-documented endpoints with Swagger - a tool to describe, document, and use RESTful web services. Learn how to quickly put together an API which validates requests, and self-documents its endpoints using OpenAPI via Swagger. Quickly produce a robust interface for others to consume your Machine Learning model by following core best-practices of MLOps. Parts of this video cover the basics of packaging Machine Learning models, as covered in the Practical MLOps book. Topics include: * Create a Python project to serve live predictions using FastAPI * Use a Dockerfile to package the model and the API using Docker containerization * With minimal Python code, expose an ONNX model to perform sentiment analysis over an HTTP endpoint * Dynamically interact with the API using the self-documented endpoint in the container. Useful links: * Demo Github Repository with sample code * Practical MLOps book * FastAPI Intro tutorial * RoBERTa ONNX Model for sentiment analysis
    Note: Online resource; Title from title screen (viewed July 16, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Introduction to MLOps Walkthrough (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 1 of the O'Reilly book Practical MLOps. Topics include: * DevOps * MLOps * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * Spark * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed July 31, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Ruthless Web Scraping for Data Science (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to ruthlessly scrape data using APIs you discover as well as cut and paste. Topics include: * Business Analytics * Data Science * Google Colab * Jupyter * Scraping * Cut and Paste * Google Sheets * Cleaning Data * Using Pandas with found data * Using the Twitter and Pandas API
    Note: Online resource; Title from title screen (viewed September 4, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    AutoML and KaizenML - Chapter 5 Walkthrough Practical MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 5 of the O'Reilly book Practical MLOps. Topics include: * Getting models into production * Feature Store vs Data Warehouse * AutoML * MLOps * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * Spark * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 14, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    EnergyOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Topics include: * Solar * Tesla * Nest * Smart Home * Time of Use * Net metering * Battery Backup * EV (electric vehicle) * Artificial Intelligence * Level 1 Charging * Level 2 Charging * Level 3 Charging
    Note: Online resource; Title from title screen (viewed July 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Career Strategy (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: It is essential to have a strategy defined when figuring out your career. Starting out is difficult. Regardless what your background is, you need to have a clear idea how to get to your dream job. Even if you are not in technology and want a data-science position, you have to have a clear path towards data-science. In this video I'll cover some of the stories that allowed me to gain perspective in my career in tech, along with some advice that can help you out. Topics include: * Find some techniques to define your career and next steps * Design a custom strategy to help answer career questions * Accurately determine what might be a good job or position Useful links: * Start a career in Tech * Learn Python from scratch
    Note: Online resource; Title from title screen (viewed September 13, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 15
    Online Resource
    Online Resource
    Optimization and Greedy Algorithms in One Hour (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use optimization strategies and greedy algorithms in one hour.
    Note: Online resource; Title from title screen (viewed March 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Automating Jenkins with Python (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Apply DevOps principles to Jenkins by automating tasks using the Jenkins API with Python. Create a powerful command-line tool with the Click framework to harness the API and trigger remote jobs with a simple invocation. Using code (and Python in this case) to automate frequent tasks is an import DevOps principle that you should apply whenever possible. Some of the concepts in this video are covered in the Python For DevOps book. Learn how to identify core concepts when trying to automate something like Jenkins, like identifying the API access, authorization, and the possibility of finding a helper library to make things easier. your Machine Learning model by following core best-practices of MLOps. Topics include: * Setup a main Jenkins instance with Docker, using the official Jenkins LTS image. * Create a user with an API token, so that it is authorized to operate Jenkins. * Use a Jupyter notebook to try out the API using Python and figure out concepts that can be applied later * Create a command-line tool using the Click framework to quickly trigger Jenkins jobs. Useful links: * Jenkins LTS Docker image documentation * Official Jenkins LTS Docker image * Python-Jenkins library documentation * Python-Jenkins Library * Python for DevOps Book
    Note: Online resource; Title from title screen (viewed August 2, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 17
    Online Resource
    Online Resource
    Real World Computer Vision and MLOps Cookbook- Chapter 7 Walkthrough Practical MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A walkthrough of Chapter 7 of the O'Reilly book Practical MLOps. Learn about real-world computer vision including a recap of Tesla AI day 2021. Topics include: * Getting models into production * Tesla FSD * Tesla Computer Vision * Tesla AI Day * DataOps * ML Platforms * Sagemaker * Continuous Integration and Continuous Deployment * MLOps cookbook * ML Engineering * Data Engineering * AWS App runner * GCP * Azure * Containers * Kaizen
    Note: Online resource; Title from title screen (viewed August 24, 2021) , Mode of access: World Wide Web.
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  • 18
    Online Resource
    Online Resource
    AWS Step Functions for Optimization (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use optimization techninques along with AWS Step Functions
    Note: Online resource; Title from title screen (viewed September 12, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 19
    Online Resource
    Online Resource
    Mastering Core Concepts in Python Functions (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to master key components of Python functions. Topics include: * Input, Output and Unit of Work * Decorators, Yield Statements, Generators, Closures and Nested Functions * Using Github Codespaces and Github Actions * Building Command-line tools * Microservices including Flask and FastAPI * Using AWS Cloud9 along side AWS App Runner
    Note: Online resource; Title from title screen (viewed September 3, 2021) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    Secure Projects with vulnerability scanning in Github (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with security vulnerability scanning and integrating that with Github, Github Actions and automated security checks in pull requests. Learn how to scan reported vulnerabilities in projects and Docker containers, so that you can publish images to Docker hub or merge pull requests while knowing that changes in dependencies are secure. Topics include: * Install and run locally a security vulnerability scanner * Catalog a project with an SBOM (Software Bill Of Materials) so that the scanner can do vulnerability matching. * Setup a Github Action to automatically scan vulnerabilities in a project and optionally fail a build to prevent a merge. * Scan a Docker container image that is built locally against the latest vulnerabilities, based on any CVE reported publicly
    Note: Online resource; Title from title screen (viewed February 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 21
    Online Resource
    Online Resource
    Jenkins CI/CD and Github in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Jenkins, Jenkins Pipelines, and Github integration in this introductory video to the most widely used CI/CD platform in the world: Jenkins. Learn how to setup an example repository from Github into Jenkins using the same techniques you would need to scale a massive CI CD production environment. Topics include: * Install and configure Jenkins including plugins like Blue Ocean that enables pipelines * Create a Personal Access Token (PAT) in Github to connect a repository to Jenkins * Setup a trigger to run automated tests for the Github repository using a Jenkinsfile * Add a remote node or slave to the Jenkins master instance via SSH to quickly scale up operations * Validate that the project builds and deploys correctly
    Note: Online resource; Title from title screen (viewed February 18, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 22
    Online Resource
    Online Resource
    No Code and Low Code NLP in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use no-code and low-code solutions to perform Natural Processing. In this video you walk through building a text based analysis using Python and Cloud Tools. You learn how to perform document similarity, visualize word clouds and use Amazon AI Tools. The techniques covered include: * Google Colab * Spacy * AWS Quicksite * AWS Comprehend * AWS Rekognition * NLTK * WordCloud * Pandas * Plotly * Github Finally, the course analyzes Hemingway books using popular off the shelf Python libraries. Follow along with the Github Resource: https://github.com/noahgift/exploratory-data-analysis
    Note: Online resource; Title from title screen (viewed February 20, 2021) , Mode of access: World Wide Web.
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  • 23
    Online Resource
    Online Resource
    Zero to One : Data Science to MLOps (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Zero to One: Data Science to MLOps in One Hour. Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps Topics include: * Big Tech Misinformation and what can be done about it using Data Science. * Doing MLOps with sklearn and Flask by creating Microservices * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * Putting code into production using the Python MLOps Cookbook found here: https://github.com/noahgift/data-story-telling
    Note: Online resource; Title from title screen (viewed March 20, 2021) , Mode of access: World Wide Web.
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  • 24
    Online Resource
    Online Resource
    Get started with Distributed Tracing (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn all about distributed tracing in this 1 hour course. If you want to go beyond logging and monitoring, and trying to tell a story by connecting the dots, then distributed tracing is the way to go. Topics include: * Opentracing and the foundations of distributed tracing libraries like Jaeger * Micro-service strategies and other microservice implementations that make distributed-tracing a perfect use case * Implement distributed tracing instrumentation in a Github project using docker compose with multiple Docker containers * Leverage the knowledge to use hosted services like Datadog for querying and debugging traces
    Note: Online resource; Title from title screen (viewed April 15, 2021) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    Effective Python Exceptions (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python exceptions are exceptional at helping your program take decisions. It is natural to feel the urge to catch them all and ignore them. But powerful programs can be created by learning how to leverage them in order to make robust scripts and take your coding skills to the next level. In this video, I cover several techniques that will help you improve your exception handling. Topics include: * Create a script that uses exception poorly, and then improve it * Slowly clean up broad catching exceptions to improve the script * Learn how to produce better errors from exceptions * Leverage other tools like logging to produce meaningful errors and tracebacks while keeping messages clean Follow along the repository to continue using more examples: https://github.com/alfredodeza/exceptions/
    Note: Online resource; Title from title screen (viewed April 22, 2021) , Mode of access: World Wide Web.
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  • 26
    Online Resource
    Online Resource
    MLOps for Edge AutoML with Google AutoML Vision (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use Google AutoML Vision to train models with out writing code. Topics include: * Google AutoML Vision with Corel.AI * Core ML * Tensorflow Lite * Edge Inference * MLOps for Edge Computer Vision
    Note: Online resource; Title from title screen (viewed April 27, 2021) , Mode of access: World Wide Web.
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  • 27
    Online Resource
    Online Resource
    Packaging Machine Learning Models with Docker (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the important aspects of MLOps, also known as Machine Learning Operations or Operationalizing Machine learning, is to package ML models. How exactly do you package ML models? In this video I show you exactly what that means, and go through the process of packaging an ONNX model taken from the ONNX Model Zoo. I end up with a docker container that can be shared, exposing an API that is ready to consume and perform live predictions for sentiment analysis. Topics include: * What are the concepts behind packaging Machine Learning Models * Create a sentiment analysis API tool with Flask * Define dependencies and a Dockerfile for packaging * Create a container with an ONNX model that can be deployed anywhere with an HTTP API A few resources that are helpful if you are trying to get started with SBOMs, generating them and using them to capture vulnerabilities: * The RoBERTa ONNX Model * Schema labeling concetps for Docker containers * The Practical MLOps code respository full of examples
    Note: Online resource; Title from title screen (viewed May 27, 2021) , Mode of access: World Wide Web.
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    MLOps with AWS App Runner (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use AWS App Runner to do an MLOps workflow that deploys a Flask Microservice that running sklearn. This tutorial walks you through how to deploy code from the O'Reilly book Practical MLOps using the AWS App Runner Service. Topics include: * MLOps * AWS App Runner * Container as a Service * Python * Flask * Microservice * Sklearn * Machine Learning Engineering
    Note: Online resource; Title from title screen (viewed May 23, 2021) , Mode of access: World Wide Web.
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    Learn to pass ANY AWS Certification Exam (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to pass ANY AWS Certification Exam on the first try. Topics include: * AWS Certifications * AWS Certified Cloud Practitioner * AWS Exam Guide * AWS White Papers * AWS Sample Questions * AWS Cloud Shell * AWS Unofficial Questions * AWS Academy
    Note: Online resource; Title from title screen (viewed June 6, 2021) , Mode of access: World Wide Web.
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  • 30
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    Distributed Jenkins builds with containers (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 47 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Distribute the load of Jenkins builds with a remote Docker instance or Kubernetes server in this 1-hour long tutorial Topics include: * Configure a remote Docker instance to interact with the master Jenkins server * Modify an existing job to use Docker to do builds using labels * Setup a remote kubernetes instance to connect to Jenkins with JNLP * Use the right container image to connect back to Jenkins as a remote container node
    Note: Online resource; Title from title screen (viewed March 12, 2021) , Mode of access: World Wide Web.
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    Revenue for Techies : Red, Yellow, Green Money (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: How are you generating revenue in your business or career. This lesson talks about consulting, salary and MRR including investing. Topics include: * Consulting * Salary * Investments * Autonomy vs Dependency * MRR (Monthly Recurring Revenue)
    Note: Online resource; Title from title screen (viewed April 22, 2021) , Mode of access: World Wide Web.
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    Understand the Programmers Mindset for Beginners (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn some counter-intuitive ways to think about programming as a beginner. It is ok to feel stupid, it means you are on the right path! Topics include: * Failure is good * The goal of programming is to reduce complexity * Automation is a requirement * Continuously Improve your code * Embrace Automation and Monitoring
    Note: Online resource; Title from title screen (viewed April 17, 2021) , Mode of access: World Wide Web.
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    Online Resource
    Go for Python Developers (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The Go programming language is becoming more popular these days with cloud-native applications and the Kubernetes ecosystem. If you are coming from Python, you will find yourself surprised to see similar patterns, while at the same time see some things that are missing or plain impossible with Go. In this course, I will introduce you to some of the basics of Golang from a Python perspective, so that you can reduce the friction trying to learn it. Topics include: * Packages, imports and variable definitions * From lists to arrays and slices * From Python dictionaries to Go maps * Looping on data structures, retrieving and adding values or items * Error handling, and the surprising fact that there aren't any tracebacks or exceptions in Go A few resources that are helpful if you are trying to learn Go, some of them covered in the course: * Visual Studio Code for Go * The Go playground * An (interactive) tour of Go
    Note: Online resource; Title from title screen (viewed May 5, 2021) , Mode of access: World Wide Web.
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    Data Story Telling (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to tell stories with Data and then present those conclusions to Business Executives. Learn to use Colab/Jupyter Notebooks to build Data Science notebooks that tell a story. Topics include: * Effects of Intermittent Fasting, Sugar, Wealth and Real Estate Values on society * Visualizing data through Plotly graphs with 3D Interactive Visualizations of KMeans clustering * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * The role of the Matthew Effect on society. The Github Project is here: https://github.com/noahgift/data-story-telling
    Note: Online resource; Title from title screen (viewed March 13, 2021) , Mode of access: World Wide Web.
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    EMERGENCY! Debugging Python Code in One Hour (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to debug Python code quickly! Topics include: * Continuous Integration * Python Debugger: PDB * Debugging with print statements * Debugging with IPython * Using pylint and pytest to debug code
    Note: Online resource; Title from title screen (viewed April 14, 2021) , Mode of access: World Wide Web.
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    MLOps workflow with Github Actions (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with MLOps and Github Actions to package a container with an ONNX model that does live inferencing with a Flask application. By using Azure ML, learn how to download the large ONNX model into the Github Action workflow, package it as a container and then push it to a container registry. For reference use the https://github.com/alfredodeza/flask-roberta repository Topics include: * Create a container that does live inferencing with Flask and the ONNX runtime * Package the model and verify it works locally * Setup a Github Action to authenticate to Azure ML and download a previously registered model * Build the new container as a Github Action, authenticate to Docker Hub or Github Packages * Push the new container to the Github registry or any other registry like Docker Hub
    Note: Online resource; Title from title screen (viewed March 5, 2021) , Mode of access: World Wide Web.
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    Zero to One : AWS Lambda with SAM and Python in One Hour (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Zero to One: AWS Lambda with SAM and Python in One Hour. Learn to use AWS Cloud9 to develop serverless applications with Python and SAM (Serverless Application Model) Topics include: * Building a Lambda inside of Cloud9 * Deploying a containerized service to Amazon ECR and AWS Lambda * Invoking API Gateway based AWS Lambda services using sam invoke and AWS Cloud9
    Note: Online resource; Title from title screen (viewed April 3, 2021) , Mode of access: World Wide Web.
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    AWS Sagemaker Autopilot from Zero (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to AWS Sagemaker Autopilot from zero and deploy a model to production.
    Note: Online resource; Title from title screen (viewed June 29, 2021) , Mode of access: World Wide Web.
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    Functional Test Matrix with Tox (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Enhance testing Python projects by adding Tox, a testing management tool that can easily create test matrices. In this video course, learn how to use different functional test strategies and expand basic unit testing by combining different software versions. Topics include: * Use Pytest for fast verification of unit tests * Detect missing dependencies that can get packaged and released even when tests are passing * Build a test matrix by adding factors and combinatorial versions by leveraging Tox to avoid boilerplate configuration * Use different Python versions to test the same code
    Note: Online resource; Title from title screen (viewed March 18, 2021) , Mode of access: World Wide Web.
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  • 40
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    Think like a VC for your Career (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to think like a Venture Capitalist about your career and design for failure. Topics include: * Cost of Living * Open Source Software * Investments * Designing your 1-3 year experiences * Being proactive vs reactive
    Note: Online resource; Title from title screen (viewed April 28, 2021) , Mode of access: World Wide Web.
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    Introduction to Software Bill of Materials (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: What is an SBOM (Software Bill Of Materials) and why should you care? An SBOM is a critical cybersecurity component to keep track and catalog what is installed (and at what versions) in production environments. With recent cybersecurity threats, SBOMs play an important role to implement a remediation strategy when threats and vulnerabilities are reported. Without an SBOM, it is borderline impossible to detect what exactly is released into production, and what may be vulnerable today. Topics include: * Understand the concepts behind an SBOM * Create an SBOM and use different output formats like CycloneDX to import into other systems * Use an SBOM to detect CVE and other vulnerabilities associated with installed software * Capture information about pre-installed system dependencies and nested dependencies * Use CycloneDX and other machine-readable formats like JSON to import outputs into other systems A few resources that are helpful if you are trying to get started with SBOMs, generating them and using them to capture vulnerabilities: * A simple, user-friendly SBOM generator: Syft * A fast vulnerability matcher that uses SBOMs as input: Grype * The CycloneDX format
    Note: Online resource; Title from title screen (viewed May 18, 2021) , Mode of access: World Wide Web.
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    AWS Fargate for Flask Microservice in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use containers to build Microservices on the AWS platform. In this video you walk through building a Flask Microservice using the following AWS tools: * AWS Cloud9 * AWS ECR (Elastic Container Registery) * AWS ECS (AWS Container Service) * AWS Fargate (Container as a Service) Finally, the course builds and deploys a Fargate container that was provisioned to ECR. Follow along with the Github Resource: https://github.com/noahgift/eks-fargate-tutorial
    Note: Online resource; Title from title screen (viewed February 18, 2021) , Mode of access: World Wide Web.
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    Core Machine Learning Concepts in One Hour (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this video you walk through the foundational concepts of Machine Learning.
    Note: Online resource; Title from title screen (viewed February 27, 2021) , Mode of access: World Wide Web.
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    AutoML with Apple CreateML (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build Machine Learning solutions without writing any code with CreateML from Apple. Topics include: * Computer Vision * Image Classification * OS X * Apple * Core ML
    Note: Online resource; Title from title screen (viewed April 22, 2021) , Mode of access: World Wide Web.
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    Scraping Websites with Python (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sometimes scraping is the only way to extract meaningful data when there are no options like an accessible API. Parsing raw HTML can be intimidating and full of failures if you aren't used to existing tooling that can help you parse faster and more efficiently. In this video, learn all the basics including some advanced techniques to parse HTML and extract data with the Scrapy library in Python. k Topics include: * Install, configure, and create a new project with Scrapy, a powerful scraping library written in Python * See what is required to start parsing a website, including looking at raw HTML, tags, and CSS. * Identify data to create a dataset or datasets to perform data science analysis later * Capture parsed data and save it in different formats locally * Ultra fast scraping techniques by using the filesystem directly A few resources that are helpful if you are trying to do scraping, some of them covered in the course: * Scrapy Library * Scrapy Getting started tutorial
    Note: Online resource; Title from title screen (viewed May 13, 2021) , Mode of access: World Wide Web.
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    Google VS Apple AutoML Computer Vision (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use Google AutoML to build a computer vision prediction model via their Qwiklabs website. Later, compare Apple's CreateML with the same data set and build an AutoML prediction model that deploy to the edge. Topics include: * Google AutoML * Apple CreateML * Apple CoreML * Computer Vision * Cloud Computing * Single label image classification * Using AutoML as a prototyping Tool * Edge Computer Vision Models
    Note: Online resource; Title from title screen (viewed May 15, 2021) , Mode of access: World Wide Web.
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    Bash Essentials for Cloud Computing (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn the essentials of Bash for Cloud Computing Topics include: * AWS Cloud Shell and Github Code Spaces Shell programming * Editing Bashrc * Using Vim * Using shell navigation including: cd, ls, pwd, history * editing the Bash prompt and creating simple Bash Scripts, as well as Python Virtual Environments with Bash
    Note: Online resource; Title from title screen (viewed May 6, 2021) , Mode of access: World Wide Web.
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    MLOps for Applied Computer Vision : With Apple CreateML (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use MLOPs methodology to build applied computer vision solutions. Topics include: * Apple CreateML * AutoML * Image Classification * Kaizen * Computer Vision
    Note: Online resource; Title from title screen (viewed April 30, 2021) , Mode of access: World Wide Web.
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    AWS Python Computer Vision : From Zero (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use the AWS (Amazon Web Services) platfrom to perform Computer Vision with the Python Language. This video course takes you from zero and introduces you to using the AWS Rekognition Console, AWS Cloud Shell and AWS Cloud9 environment to build computer vision solutions. Topics include: * Using AWS Rekognition to do Celebrity Recognition, Text Detection, PPE Detection and Image Labeling * Setting up AWS Cloud Shell to use the AWS SDK * Doing S3 copies with the AWS command-line SDK * Setting up AWS Cloud9 for development * Configuring bashrc file for use with Python * Using IPython with the AWS Boto3 SDK * Using Python Click to create command-line tools with colorized output * Using Github Actions to test and lint a computer vision project
    Note: Online resource; Title from title screen (viewed May 9, 2021) , Mode of access: World Wide Web.
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    Python GPU Programming in 5 Minutes (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to do GPU programming in Python in Five Minutes
    Note: Online resource; Title from title screen (viewed January 12, 2021) , Mode of access: World Wide Web.
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    Python for Data Science with Colab and Pandas in One Hour Video Course (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to do Data Science with Python, Pandas and Colab Notebook in one hour! This video lesson takes you through a Covid-19 Dataset from the NyTimes and shows you how to explore it. The libraries involved include: Pandas, Colab, Plotly, sklearn, numpy and matplotlib. A suggested structure for Data Science projects is included: Ingest, EDA, Modeling and Conclusion. Finally, the course wraps up with how to integrate Cloud based business analytics including the following tools. AWS Cloud9, IPython, AWS Rekognition, AWS Translate and AWS Comprehend. These solutions are explored with both boto3 and the AWS Console. Follow along with the Github Resource: https://github.com/paiml/minimal-python/blob/master/Chapter7_data_science.ipynb
    Note: Online resource; Title from title screen (viewed February 6, 2021) , Mode of access: World Wide Web.
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    Learn Vim in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Vim in this one-hour video. Everything you need to know to get up and running quickly. Topics include: * Opening, saving, and quiting files * Basic movements and operations, like copying and deleting * Updating the .vimrc configuration file for customization * Installing plugins and further customization
    Note: Online resource; Title from title screen (viewed January 8, 2021) , Mode of access: World Wide Web.
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    Learn Azure ML (AutoML) in One Hour Video Course (2021)
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    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Machine Learning and Auto ML using Azure ML Studio easily building powerful models and deploy them in a scalable environment. Everything you need to know to get up and running quickly in Machine Learning using Azure, from datasets to containerized deployments and data validation. Topics include: * An introduction to Azure ML Studio and AutoML * Import datasets and version them within Azure - even from remote locations like Github * Create compute clusters for training and live inferencing * Select models for deployment into Kubernetes or Docker Container instances * Practice MLOps, operationalizing a deployed model with logs and metrics via Application Insights * Consume a live endpoint with a deployed model over an HTTP API * Use the generated Swagger files to grasp the HTTP endpoints
    Note: Online resource; Title from title screen (viewed February 4, 2021) , Mode of access: World Wide Web.
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    Python Devops in TWO HOURS! (2021)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Python Devops in TWO HOURS!
    Note: Online resource; Title from title screen (viewed January 27, 2021) , Mode of access: World Wide Web.
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    AWS Elastic Beanstalk Continuous Delivery with Flask Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to use AWS Elastic Beanstalk to deploy a Flask application. This tutorial covers Continuous Delivery of a Python Flask application using AWS Code Build. Elastic Beanstalk is a PAAS (Platform as a Service) that has powerful tools and integrations. This video course covers building out an development environment in Cloud9, a Makefile system and then finally, a full fledged CI/CD pipeline using Pylint and AWS Code Build of a Flask API. Follow along with the Github Resource: https://github.com/nogibjj/Flask-Elastic-Beanstalk.
    Note: Online resource; Title from title screen (viewed February 3, 2021) , Mode of access: World Wide Web.
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    AWS in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to use AWS in one Hour
    Note: Online resource; Title from title screen (viewed January 9, 2021) , Mode of access: World Wide Web.
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    Learn Python Command-line tools in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started building powerful Command-line Tools with Python. From a single file with no dependencies to packaging and publishing your tool on the Python Package Index. Everything you need to know to get up and running quickly to create Python command-line tools. Topics include: * An introduction to Python scripts and Python packaging * Declare dependencies and package your script for installing and sharing. * Use argparse or upgrade to a more powerful framework like Click * Add flags, options and arguments to fine-tune and control your command-line tool
    Note: Online resource; Title from title screen (viewed January 22, 2021) , Mode of access: World Wide Web.
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    Learn GCP Cloud Functions in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Google Cloud Platform (GCP) and Cloud Functions in this one-hour video. Everything you need to know to get up and running quickly using serverless technology from GCP. Topics include: * An introduction to serverless technologies * Create a cloud function, install dependencies, and use different runtimes like Python 3.8 * Debug issues when a cloud function deployment fails * Use Google's Machine Learning offering to do live translations to any language * Enable authentication for your cloud function
    Note: Online resource; Title from title screen (viewed January 14, 2021) , Mode of access: World Wide Web.
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    AWS Solutions Architect Certification In ONE HOUR (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AWS Solutions Architect Certification In ONE HOUR!
    Note: Online resource; Title from title screen (viewed January 14, 2021) , Mode of access: World Wide Web.
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    Learn Docker containers in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Docker and building powerful containers in this one-hour video. From the basics of containers, and its differences with virtual machines, to interactive commands and containerization of applications. Everything you need to know to get up and running quickly to use containers and grasp docker concepts. Topics include: * An introduction to containers and their differences with Virtual Machines * Start, stop, and manage containers. * Map container ports to local ports, mount volumes, and other startup flags for container images. * Get access to running containers to interactively debug a service like Nnginx. * Build a Python application with a Dockerfile, and deploy it running the latest Python version.
    Note: Online resource; Title from title screen (viewed January 28, 2021) , Mode of access: World Wide Web.
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    Github Actions and GitOps in One Hour Video Course (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Github and Github Actions in this introductory video to GitOps concepts, by building a container, setting some Github Actions to prevent problems, and finally, push to DockerHub in a fully automated way. These concepts are critical to get automation best-practices in place with Github. Particularly useful when collaborating with others and trying to run automated checks on Dockerfiles and git repos. Topics include: * Create a new Github repository * Enable Github Actions checks and steps for a new repository. * Find a Github Action to lint and check a Dockerfile to prevent issues before merging on pull requests. * Add Github Secrets and reuse them in a Github Action * Validate that a container builds correctly, and automatically push to dockerhub
    Note: Online resource; Title from title screen (viewed February 12, 2021) , Mode of access: World Wide Web.
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    AWS Machine Learning Certification In ONE HOUR (2021)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AWS Machine Learning Certification In ONE HOUR!
    Note: Online resource; Title from title screen (viewed January 23, 2021) , Mode of access: World Wide Web.
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    Deep Learning with PyTorch video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 15 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail. From the Foreword by Soumith Chintala, Cocreator of PyTorch Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. about the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. about the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at way...
    Note: Online resource; Title from title screen (viewed July 1, 2020) , Mode of access: World Wide Web.
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    Grokking Artificial Intelligence Algorithms, Video Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: From start to finish, the best book to help you learn AI algorithms and recall why and how you use them. Linda Ristevski, York Region District School Board Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization. about the technology Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI. about the book Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. what's inside Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot about the audience For software developers with high school–level algebra and calculus skills. about the author Rishal Hurbans is a technologist, founder, and international speaker. This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way. David Jacobs, Product Advance Local The most comprehensive content I have seen on AI algorithms. Karan Nih, Classic Software Solutions This book removes the fear of stepping into the mechanics of AI. Kyle Peterson, University of Iowa Athletics NARRATED BY JEROMY LLOYD AND JULIE BRIERLEY
    Note: Online resource; Title from title screen (viewed July 20, 2020) , Mode of access: World Wide Web.
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    Math for Programmers video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox. Christopher Haupt, New Relic To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. about the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! about the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. what's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification about the audience For programmers with basic skills in algebra. about the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land A rigorous yet approachable overview of the mathematics that underpin a number of modern programming domains. Dan Sheikh, BCG Digital Ventures Engaging, practical, recommend for all levels. Vincent Zhu, rethinkxsocial.com It provides a bridge for programmers who need to brush up on their math skills, and does a nice job of making the math less mysterious and more approachable. Robert Walsh, Excalibur Solutions NARRATED BY DEREK LETTMAN
    Note: Online resource; Title from title screen (viewed November 30, 2020) , Mode of access: World Wide Web.
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    Operations Anti-patterns, DevOps Solutions video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Very practical approach to patterns and practices for DevOps! Foster Haines, J2 Interactive Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure. about the technology To some extent, all organizations—even yours—suffer from poor development practices, garbled communications, and outdated legacy systems. The good news is DevOps can help you improve your processes. First, however, you'll need to recognize the core issues holding you back. This book empowers you to deliver DevOps with limited resources while navigating the office politics and entrenched mindsets that are all too common in actual workplaces. about the book Operations Anti-Patterns, DevOps Solutions offers clear steps for transforming development and communication. Using jargon-free language, this book describes incremental techniques that pay off immediately. Streamline your workflow, manage unplanned time, and build operational metrics. Whatever your issues, this book holds the keys to organizational success. what's inside Turn failure into opportunity Drive change through culture Break down knowledge silos Settle middle management turf wars about the audience For team leaders and managers. about the author Jeffery D. Smith has been in the technology industry for over 15 years. He has managed DevOps transformations at the ad-tech firm Centro and the online ordering platform Grubhub. A pragmatic guide to adopting DevOps practices progressively in every organization. Zhuo Hong Wei, Indeed A comprehensive guide to getting started with DevOps and integrating this culture in your company in the right manner. Roman Levchenko, Microsoft Azure MVP A truly inspiring book with real-world use cases and solutions. Really helpful for managers and technical leaders who want to drive change in their company. Michele Adduci, OpenLimit SignCubes GmbH NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title screen (viewed October 31, 2020) , Mode of access: World Wide Web.
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    Learn Docker in a Month of Lunches video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This book took me from someone interested in Docker to someone using it effectively in several projects. Mark Elston, Advantest America Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases—just a quick-and-easy guide to the essentials of Docker you’ll use every day. about the technology The idea behind Docker is simple: package applica­tions in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators. about the book Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected by author Elton Stoneman, you’ll run containers by chapter 2 and package applications by chapter 3. Each lesson teaches a practical skill you can practice on Windows, macOS, and Linux systems. By the end of the month you’ll know how to containerize and run any kind of application with Docker. what's inside Package applications to run in containers Put containers into production Build optimized Docker images Run containerized apps at scale about the audience For IT professionals. No previous Docker experience required. about the author Elton Stoneman is a consultant, a former architect at Docker, a Microsoft MVP, and a Pluralsight author. A well-written and cogent approach to learning and implementing containerized applications with Docker. Philip Taffet, SOHOsoft This is a must-have resource for anyone wanting to come to grips with Docker—from novice to expert, there’s something for everyone. Kevin Orr, Sumus Solutions I recommend anyone serious about learning Docker begin with this book. Marcus Brown, Tradewind Energy NARRATED BY JULIE BRIERLEY
    Note: Online resource; Title from title screen (viewed June 13, 2020) , Mode of access: World Wide Web.
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    Build a Career in Data Science video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Full of useful advice, real-case scenarios, and contributions from professionals in the industry. Sebastián Palma Mardones, ArchDaily You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. about the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. about the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. what's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists about the audience For learners who want to begin or advance a data science career. about the authors Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. The perfect companion for someone who wants to be a successful data scientist! Gustavo Gomes, Brightcove Insightful overview of all aspects of a data science career. Krzysztof Jędrzejewski, Pearson Highly recommended. Hagai Luger, Clarizen NARRATED BY JEROMY LLOYD
    Note: Online resource; Title from title screen (viewed March 6, 2020) , Mode of access: World Wide Web.
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    Python Workout video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Whether you’re a Python novice or, like me, have been away from the language for a while, this book is a great way to build strength with Python. Mark Elston, Advantest America The only way to master a skill is to practice. In Python Workout , author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects. Along the way, Python Workout provides over four hours of screencasts walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. about the technology To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. about the book Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven M. Lerner guides you through a series of small projects, practicing the skills you need to tackle everyday tasks. You'll appreciate the clear explanations of each technique, and you can watch Reuven solve each exercise in the screencasts. what's inside 50 hands-on exercises and solutions Coverage of all Python data types Dozens more bonus exercises for extra practice about the audience Requires basic Python knowledge. about the author Reuven M. Lerner teaches Python and data science to companies around the world. A practical introduction to the Python programming language, built around fun and well-chosen exercises. Jens Christian Bredahl Madsen, Systematic The practical course you need to become fluent in Pythonic programming! Jean-François Morin, Laval University This book pulls back the layers and allows you to master Python. Jeff Smith, Agilify Automation NARRATED BY MARK THOMAS
    Note: Online resource; Title from title screen (viewed July 2, 2020) , Mode of access: World Wide Web.
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    Microservices Security in Action video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A complete guide to the challenges and solutions in securing microservices architectures. Massimo Siani, FinDynamic Unlike traditional enterprise applications, Microservices applications are collections of independent components that function as a system. Securing the messages, queues, and API endpoints requires new approaches to security both in the infrastructure and the code. Microservices Security in Action teaches you how to address microservices-specific security challenges throughout the system. This practical guide includes plentiful hands-on exercises using industry-leading open-source tools and examples using Java and Spring Boot. about the technology Integrating independent services into a single system presents special security challenges in a microservices deployment. With proper planning, however, you can build in security from the start. Learn to create secure services and protect application data throughout development and deployment. As microservices continue to change enterprise application systems, developers and architects must learn to integrate security into their design and implementation. Because microservices are created as a system of independent components, each a possible point of failure, they can multiply the security risk. With proper planning, design, and implementation, you can reap the benefits of microservices while keeping your application data—and your company's reputation—safe! about the book Microservices Security in Action is filled with solutions, teaching best practices for throttling and monitoring, access control, and microservice-to-microservice communications. Detailed code samples, exercises, and real-world use cases help you put what you've learned into production. Along the way, authors and software security experts Prabath Siriwardena and Nuwan Dias shine a light on important concepts like throttling, analytics gathering, access control at the API gateway, and microservice-to-microservice communication. You'll also discover how to securely deploy microservices using state-of-the-art technologies including Kubernetes, Docker, and the Istio service mesh. Lots of hands-on exercises secure your learning as you go, and this straightforward guide wraps up with a security process review and best practices. When you're finished reading, you'll be planning, designing, and implementing microservices applications with the priceless confidence that comes with knowing they're secure! what's inside Mi...
    Note: Online resource; Title from title screen (viewed July 11, 2020) , Mode of access: World Wide Web.
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    Micro Frontends in Action video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: You can base your Micro Frontends directly off the examples in the book! Barnaby Norman, Frontend Developer Browser-based software can quickly become complex and difficult to maintain, especially when it's implemented as a large single-page application. By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the technology you use in your stack. Micro Frontends in Action is your guide to simplifying unwieldy frontends by composing them from small, well-defined units. about the technology Micro frontends deliver the same flexibility and maintainability to browser-based applications that microservices provide for backend systems. You design your project as a set of standalone components that include their own interfaces, logic, and storage. Then you develop these mini-applications independently and compose them in the browser. about the book Micro Frontends in Action teaches you to apply the microservices approach to the frontend. You’ll start with the core micro frontend design ideas. Then, you'll build an e-commerce application, working through practical issues like server-side and client-side composition, routing, and maintaining a consistent look and feel. Finally, you'll explore team workflow patterns that maximize the benefit of developing application components independently. what's inside Create a unified frontend from independent applications Combine JavaScript code from multiple frameworks Browser and server-side composition and routing Implement effective dev teams and project workflow about the audience For web developers, software architects, and team leaders. about the author Michael Geers is a software developer specializing in building user interfaces. An excellent starting point to understand how to introduce micro frontends in your projects. Potito Coluccelli Expert practical advice for robust frontend development. The final piece of the micro puzzle! Adail Retamal, Cubic Transportation Systems A very concise and logically structured introduction to implementing a micro frontends team infrastructure. Tanya Wilke, Sanlam A definitive guide for applying micro frontends architecture to any existing UI technology. Karthikeyarajan Rajendran, Johnson Controls India NARRATED BY SARAH DAWE
    Note: Online resource; Title from title screen (viewed August 25, 2020) , Mode of access: World Wide Web.
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    Unit Testing Principles, Practices, and Patterns video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This book is an indispensable resource. Greg Wright, Kainos Software Ltd. Unit Testing Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing. about the technology Great testing practices will help maximize your project quality and delivery speed. Wrong tests will break your code, multiply bugs, and increase time and costs. You owe it to yourself—and your projects—to learn how to do excellent unit testing to increase your productivity and the end-to-end quality of your software. about the book Unit Testing Principles, Patterns and Practices teaches you to design and write tests that target the domain model and other key areas of your code base. In this clearly written guide, you learn to develop professional-quality test suites, safely automate your testing process, and integrate testing throughout the application life cycle. As you adopt a testing mindset, you’ll be amazed at how better tests cause you to write better code. what's inside Universal guidelines to assess any unit test Testing to identify and avoid anti-patterns Refactoring tests along with the production code Using integration tests to verify the whole system about the audience For developers who know the basics of unit testing. The C# examples apply to any language. about the author Vladimir Khorikov is an author, blogger, and Microsoft MVP. He has mentored numerous teams on the ins and outs of unit testing. Serves as a valuable and humbling encouragement to double down and test well, something we need no matter how experienced we may be. Mark Nenadov, BorderConnect I wish I had this book twenty years ago when I was starting my career in software development. Conor Redmond, Incomm Product Control This is the kind of book on unit testing I have been waiting on for a long time. Jeremy Lange, G2 NARRATED BY NATE COLITTO
    Note: Online resource; Title from title screen (viewed June 1, 2020) , Mode of access: World Wide Web.
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    Python Functions Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Many people wrongly believe that to program properly in Python, it is necessary to master all of its many moving parts. But the single most important part of modern Python programming - the part you should learn first - is the function. What can you do with a function? Build command-line tools, web applications, GPU programming, serverless, distributed computing, and machine learning. In the cloud and machine learning era, the function rules. In this course, you'll begin your Python journey through learning about this critically important subset of the Python language. You'll master the use of functions much more quickly by not getting bogged down with all the rest.
    Note: Online resource; Title from title screen (viewed November 3, 2020) , Mode of access: World Wide Web.
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    Python for Devops : Volume 1 Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn to build solutions using Python for DevOps. Topics include serverless, microservices, GCP, AWS, Azure, Continuous Integration and Continuous Delivery.
    Note: Online resource; Title from title screen (viewed December 9, 2020) , Mode of access: World Wide Web.
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    Learn Python in One Hour Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This is a one hour introduction to Python with code samples you can execute at home at the same time. Code can be executed here: https://github.com/noahgift/functional_intro_to_python/blob/master/Public_Master_SafariOnline_Day1_Part1.ipynb Subscribe to YouTube channel: https://lnkd.in/gUpprB2 You can find more content by Noah Gift at https://noahgift.com. #pragmaticai #python #tutorial
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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    Cloud Computing with Python Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Cloud Computing in Python. Topics include: Multi-Cloud, Cloud Computing Service Models, Distributed Computing in the Cloud, Cloud Computing ETL Pipelines, Serverless Soutions with the Cloud, Containers in the Cloud, and Continuous Delivery for ML Engineers
    Note: Online resource; Title from title screen (viewed December 10, 2020) , Mode of access: World Wide Web.
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    Seriously Good Software video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Building high-quality software is never simple, and it is always a good idea to reexamine the principles of good design and craftsmanship. In this book, you will find a fresh perspective that I hope you will enjoy as much as I did. From the Foreword by Cay Horstmann, author of Big Java, Core Java, and many other titles Serious developers know that code can always be improved. With each iteration, you make optimizations—small and large—that can have a huge impact on your application’s speed, size, resilience, and maintainability. In Seriously Good Software: Code that Works, Survives, and Wins , author, teacher, and Java expert Marco Faella teaches you techniques for writing better code. You’ll start with a simple application and follow it through seven careful refactorings, each designed to explore another dimension of quality. about the technology Great code blends the skill of a programmer with the time-tested techniques and best practices embraced by the entire development community. Although each application has its own context and character, some dimensions of quality are always important. This book concentrates on seven pillars of seriously good software: speed, memory usage, reliability, readability, thread safety, generality, and elegance. The Java-based examples demonstrate techniques that apply to any OO language. about the book Seriously Good Software is a handbook for any professional developer serious about improving application quality. It explores fundamental dimensions of code quality by enhancing a simple implementation into a robust, professional-quality application. Questions, exercises, and Java-based examples ensure you’ll get a firm grasp of the concepts as you go. When you finish the last version of the book’s central project, you’ll be able to confidently choose the right optimizations for your code. what's inside Evaluating software qualities Assessing trade-offs and interactions Fulfilling different objectives in a single task Java-based exercises you can apply in any OO language about the audience For developers with basic object-oriented programming skills and intermediate Java skills. about the author Marco Faella teaches advanced programming at a major Italian university. His published work includes peer-reviewed research articles, a Java certification manual, and a video course. A practical guide to writing better software. Juan J. Durillo, LRZ SuperMUC Absolute must-have for every computer science stu...
    Note: Online resource; Title from title screen (viewed March 20, 2020) , Mode of access: World Wide Web.
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    AWS Certified Cloud Practitioner Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Join #onemillion2021, where one million students learn Cloud, Data, and Python skills globally by 2021. This course takes a user on a journey to understand and then master the AWS Cloud. This material exists in many forms at top universities around the world. This material has adjusted to the unique properties of the O'Reilly platform. Many techniques will also prepare a student interested in Python, Data Science, Data Engineering, or Machine Learning to use the AWS cloud in those domains. Some of the hands-on demos include: How to build websites using: AWS S3, AWS Lambda, and AWS EC2 Instances How to use AWS Spot Instances and run machine learning workloads How to write simple Python functions and deploy them using AWS Lambda How to create AWS S3 buckets and synchronize data to them How to use AWS Cloud9 to develop software and interact with the AWS Cloud How to create a user account in AWS IAM How to manage billing and set up alerts to protect you from unexpected charges
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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    Applied Computer Vision with Python Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with Applied Computer Vision in Python. Topics include: 1. Introduction to applied computer vision 2. Emerging Topics in applied computer vision 3. Using AI APIs 4. Using AutoML for Computer vision 5. Using Edge Computer Vision Hardware 6. Using AWS for Computer Vision with AWS DeepLens and AWS Lambda
    Note: Online resource; Title from title screen (viewed December 18, 2020) , Mode of access: World Wide Web.
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    .Net Core API Development (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: APIs are the backbone of modern software, connecting the systems and services that make up your applications. The course .NET Core API Development is a beginner’s guide to creating high-quality APIs on the .NET Core platform. You’ll learn how APIs function, how to handle requests, send responses, and ensure security. Focused on practical skills that are quick to put into practice, you’ll test your abilities by creating your own real-world API project. about the subject Modern software is built from interconnected systems and services that all communicate through APIs—making API development one of the most valuable skills you can add to your developer resume. If you want to start creating reliable APIs using Microsoft .NET Core, this is the course for you. about the video .NET Core API Development is a practical liveVideo course for developers new to building REST APIs on .NET core. You’ll progress from the basics through to advanced concepts like security and custom authentication, then you’ll put your new skills into practice by creating your own full-featured API in an interesting real-world example project. You’ll learn to create custom authentication, registration and authorization, as well as data entry and output features, with all concepts explained in clear and accessible language. There’s no unnecessary jargon, and you’ll even learn how to communicate complex technical concepts to other non-technical users and stakeholders. what you will learn Practical .NET Core API development skills Handling HTTP requests and responses Skills to use to use SQL server (MSSQL) REST API development prerequisites For developers familiar with the basics of .NET development. about the instructor Taurius Litvinavicius is a businessman, author, and tech expert.
    Note: Online resource; Title from title screen (viewed June 11, 2020) , Mode of access: World Wide Web.
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    Introduction to MLOPs Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get started with MLOPS. Topics include Flask Machine Learning on AWS, what MLOPS is, Azure DevOps Pipelines for MLOps and dealing with edge cases in exporting models.
    Note: Online resource; Title from title screen (viewed December 9, 2020) , Mode of access: World Wide Web.
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    Advanced Testing with Pytest Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: There are already good introductory lessons for testing Python with Pytest. But there are important concepts for functional and integration testing that require detailed explanations. In this course, you’ll have a better grasp on solving a complex test matrix with ease, including highly functional tests with databases, web services, and containers. We will go from basic test runs that although sufficient, aren’t really helping us in the case of failure, all the way to adding advanced techniques expanding on the framework. All of these changes live, debugging as we make progress.
    Note: Online resource; Title from title screen (viewed December 5, 2020) , Mode of access: World Wide Web.
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    Succeeding with AI video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Chock-full of illuminating examples that will dramatically improve your success with AI projects. Zarak Mahmud, Techflo Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that ensure they’re cost effective and focused on the right business goals. about the technology Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren’t enough: You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you’ll get the results you want. about the book Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification. what's inside Where to invest for maximum payoff How AI projects are different from other software projects Catching early warnings in time to correct course Exercises and examples based on real-world business dilemmas about the audience For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required. about the author Veljko Krunic is a data science consultant, has a computer science PhD, and is a certified Six Sigma Master Black Belt. If you are starting a new AI project, put all odds on your side by reading this book. David Paccoud, Bioclinica A definitive resource for building an AI system idea...and deploying it in production. Teresa Fontanella De Santis, Accenture Follow this book’s advice, and you will find your organization "succeeding with AI"! James J. Bylec...
    Note: Online resource; Title from title screen (viewed March 15, 2020) , Mode of access: World Wide Web.
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    Learn Azure in a Month of Lunches, 2E, video edition (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A great overview of the vast Azure offerings—from the essentials to the good stuff. Juraj Borza, NIKÉ You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service. about the technology Microsoft Azure is vast and powerful, offering virtual servers, application templates, and prebuilt services for everything from data storage to AI. To navigate it all, you need a trustworthy guide. In this book, Microsoft engineer and Azure trainer Iain Foulds focuses on core skills for creating cloud-based applications. about the book Learn Azure in a Month of Lunches, Second Edition , is a tutorial on writing, deploying, and running applications in Azure. In it, you’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. what's inside Understanding Azure beyond point-and-click Securing applications and data Automating your environment Azure services for machine learning, containers, and more about the audience This book is for readers who can write and deploy simple web or client/server applications. about the author Iain Foulds is an engineer and senior content developer with Microsoft. The author presents Azure in exactly the right order so the reader can put all the pieces together easily and logically. George Onofrei, DevEx Solutions A lifesaver if you want or have to dive into Azure. Charles Lam, EVN AG Iain Foulds's book gives you a head start in Azure without a big-time commitment. Peter Kreyenhop, Department of Internal Affairs (NZ) NARRATED BY DEREK LETTMAN
    Note: Online resource; Title from title screen (viewed July 20, 2020) , Mode of access: World Wide Web.
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    Building Web Applications with Firebase (2020)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Really great introduction to Firebase and how to use each of its components. Jonathan Wood, Software Engineer In the video course Building Web Applications with Firebase you’ll code along with expert instructor Gareth Brown as you use Firebase to add hosting, cloud storage, database services, and user authentication to a complete music-and-chat web app. The super-reliable Firebase backend-as-a-service handles your app’s data storage and retrieval infrastructure so you can focus on building an amazing user experience. about the subject For many web apps, the backend functionality—storing, processing, and retrieving data—is predictable. Firebase is a fully managed backend service that gives you best-in-class infrastructure for your web apps, handling everything from user authentication and server scaling, right through to crash analytics and a reliable testing environment. Just set it and forget it. Backed by Google and used by some of the top apps available, you can trust Firebase to work flawlessly every time. about the video Building Web Applications with Firebase cures the headache of creating—and re-creating—custom backend infrastructure. Code along as expert instructor Gareth Brown creates an entire music-and-chat web app on screen, showing you step-by-step how Firebase can carry the load of your hosting, cloud storage, database services, and user authentication. Each module adds new backend functionality to your app, which you can easily implement with the frontend skills you already know. There are no assumptions made about the rest of your stack; you’ll learn transferable Firebase skills that work seamlessly with your favorite frameworks. When you’re done, you’ll have a fully working app for your portfolio that can show off your new Firebase skills! what you will learn Setup a new project using the Firebase console Install and use the Firebase SDK Configure Firebase inside a JavaScript project Host a website in Firebase Set up user authentication for user sign in Save data to the Firestore database Store audio content in Firebase cloud storage prerequisites For frontend web developers with intermediate JavaScript skills and a basic knowledge of backend requirements. about the instructor Gareth Brown is a software engineer with years of experience developing all kinds of web applications. If you have no knowledge about Firebase, this is the course for you! Emanuele Origgi, Software Developer, Datlas Starts with the fundamenta...
    Note: Online resource; Title from title screen (viewed October 24, 2020) , Mode of access: World Wide Web.
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    PyTest Tips Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn advanced testing techniques in Python, PyTest, AWS and more. Topics include: * Debugging Python * Using pdb * Using pylint * Using Github Actions for Matrix testing multiple versions of Python and Operating Systems * Using AWS specific features for testing including AWS Cloud9 AWS Code Guru and AWS Code Build * Testing Python Click Command Line Tools with PyTest
    Note: Online resource; Title from title screen (viewed December 12, 2020) , Mode of access: World Wide Web.
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    Cloud Business Analytics Video Course (2020)
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to apply the cloud, no-code/low code and data science to build cloud based business analytics solutions. This is the missing semester of an MBA that gives you just what you need to build technical solutions in the analytics space.
    Note: Online resource; Title from title screen (viewed December 6, 2020) , Mode of access: World Wide Web.
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    Object Design Style Guide video edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Offers both guidelines and guidance on how to achieve a clear, consistent tone across a larger team. From the Foreword by Ross Tuck Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. about the technology Well-written OO code is a pleasure to read, modify, and debug. Elevate your coding style by mastering the universal best practices for object design presented in this book. These clearly presented rules, which apply to any OO language, maximize the clarity and durability of your codebase and increase productivity for you and your team. about the book Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. what's inside Universal design rules for a wide range of objects Best practices for testing objects A catalog of common object types Exercises for each chapter to test your object design skills about the audience For developers familiar with an object-oriented language and basic application architecture. about the author Matthias Noback is a professional web developer with nearly two decades of experience. He runs his own web deve...
    Note: Online resource; Title from title screen (viewed December 23, 2019) , Mode of access: World Wide Web.
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    GANs in Action video edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Comprehensive and in-depth coverage of the future of AI. Simeon Leyzerzon, Excelsior Software GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks. about the technology Generative Adversarial Networks, GANs, are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other—one to generate fakes and one to spot them—GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems. about the book GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast. what's inside Building your first GAN Handling the progressive growing of GANs Practical applications of GANs Troubleshooting your system about the audience For data professionals with intermediate Python skills, and the basics of deep learning–based image processing. about the author Jakub Langr is a Computer Vision Cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a Senior Product Manager overseeing machine learning infrastructure and research teams at a New York–based startup. An incredibly useful mix of practical and academic information. Dana Robinson, The HDF Group A great systematization of the rapidly evolving and vast GAN landscape. Grigory V. Sapunov, Intento Excellent writing combined with easy-to-grasp mathematical explanations. Bachir Chihani, C3 Strikes that rare balance between an applied programming book, an academic book heavy on theory, and a conversational blog post on machine learning techniques. Dr. Erik Sapper, California Polytechnic State University NARRATED BY JULIE BRIERLEY
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    Practices of the Python Pro video edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A wealth of information on general software architecture and truths that are applicable to any language. David T. Kerns, Rincon Research Corporation Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro , you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro. about the technology Professional-quality code does more than just run without bugs. It’s clean, readable, and easy to maintain. To step up from a capable Python coder to a professional developer, you need to learn industry standards for coding style, application design, and development process. That’s where this book is indispensable. about the book Practices of the Python Pro teaches you to design and write professional-quality software that’s understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes. With helpful examples and exercises, he teaches you when, why, and how to modularize your code, how to improve quality by reducing complexity, and much more. Embrace these core principles, and your code will become easier for you and others to read, maintain, and reuse. what's inside Organizing large Python projects Achieving the right levels of abstraction Writing clean, reusable code Inheritance and composition Considerations for testing and performance about the audience For readers familiar with the basics of Python, or another OO language. about the author Dane Hillard has spent the majority of his development career using Python to build web applications. Get this book, and begin to write Python code like a professional. Davide Cadamuro, BMW Group This will take a Python developer down a path to becoming a pro. Joseph Perenia, Sony Interactive Entertainment NARRATED BY LISA FARINA
    Note: Online resource; Title from title screen (viewed December 22, 2019) , Mode of access: World Wide Web.
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    Learn Windows PowerShell in a Month of Lunches, Third Edition, Video Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Superb...full of real-world examples, this book is an IT specialist's best friend." Olivier Deveault, Voxco Group Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, PowerShell v3 and later, and includes v5 features like PowerShellGet. PowerShell is both a scripting language and an administrative shell that lets you control and automate nearly every aspect of Windows. It accepts and executes commands interactively and you can write scripts to manage most Windows servers like Exchange, IIS, and SharePoint, as well as online services like Azure and Office 365. Learn Windows PowerShell in a Month of Lunches, Third Edition is an innovative tutorial designed for busy IT professionals. Just set aside one hour a day - lunchtime would be perfect - for a month, and you'll be automating Windows tasks faster than you ever thought possible. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, PowerShell v3 and later, and includes v5 features like PowerShellGet. Inside: Learn PowerShell from the beginning, no experience required! Covers PowerShell v3 and up, Windows 7, and Windows Server 2008 R2 and later Each lesson takes you an hour or less Experience with Windows administration is helpful. No programming or scripting experience needed. Veteran PowerShell MVPs Don Jones and Jeffery Hicks bring years as successful trainers to this concise, easy-to-follow book/course. Your key to learning Windows PowerShell. Noreen Dertinger, Dertinger Informatics A must-have...both novice and expert will benefit from this book. Tiklu Ganguly, Mazik Global Learn PowerShell fundamentals from the experts. James Berkenbile, Berkenbile Consulting NARRATED BY LOU FERNANDEZ
    Note: Online resource; Title from title screen (viewed February 27, 2019) , Mode of access: World Wide Web.
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    Classic Computer Science Problems in Python Video Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." James Watson, Adaptive Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Computer science problems that seem new or unique are often rooted in classic algorithms, coding techniques, and engineering principles. And classic approaches are still the best way to solve them! Understanding these techniques in Python expands your potential for success in web development, data munging, machine learning, and more. Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview! Inside: Search algorithms Common techniques for graphs Neural networks Genetic algorithms Adversarial search Uses type hints throughout Covers Python 3.7 This book/course is made for For intermediate Python programmers. David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014) and Classic Computer Science Problems in Swift (Manning, 2018). A fun way to get hands-on experience with classical computer science problems in modern Python. Jens Christian Bredahl Madsen, IT Relation Highly recommended to everyone who is interested in deepening their understanding, not only of the Python language, but also of practical computer science. Daniel Kenney-Jung, MD, University of Minnesota Classic problems presented in a wonderfully entertaining way with a language that always seems to have something new to offer. Sam Zaydel, RackTop Systems NARRATED BY LISA FARINA
    Note: Online resource; Title from title screen (viewed March 5, 2019) , Mode of access: World Wide Web.
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    C++ Concurrency in Action, Second Edition, Video Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "This book should be on every C++ programmer’s desk. It’s clear, concise, and valuable." Rob Green, Bowling Green State University This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17. You choose C++ when your applications need to run fast. Well-designed concurrency makes them go even faster. C++ 17 delivers strong support for the multithreaded, multiprocessor programming required for fast graphic processing, machine learning, and other performance-sensitive tasks. This exceptional book/course unpacks the features, patterns, and best practices of production-grade C++ concurrency. C++ Concurrency in Action, Second Edition is the definitive guide to writing elegant multithreaded applications in C++. Updated for C++ 17, it carefully addresses every aspect of concurrent development, from starting new threads to designing fully functional multithreaded algorithms and data structures. Concurrency master Anthony Williams presents examples and practical tasks in every chapter, including insights that will delight even the most experienced developer. Inside: Full coverage of new C++ 17 features Starting and managing threads Synchronizing concurrent operations Designing concurrent code Debugging multithreaded applications This book/course is written for intermediate C and C++ developers. No prior experience with concurrency required. Anthony Williams has been an active member of the BSI C++ Panel since 2001 and is the developer of the just::thread Pro extensions to the C++ 11 thread library. A thorough presentation of C++ concurrency capabilities. Maurizio Tomasi, University of Milan Highly recommended for programmers who want to further their knowledge of the latest C++ standard. Frédéric Flayol, 4Pro Web C++ The guide contains snippets for everyday use in your own projects and to help take your concurrency C++ skills from the Padawan to the Jedi level. Jura Shikin, IVI Technologies NARRATED BY LISA FARINA AND DIANA GARDINER
    Note: Online resource; Title from title screen (viewed February 7, 2019) , Mode of access: World Wide Web.
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    Flutter in Motion (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Take this course and learn Flutter in no time at all: it’s a must. Alain Lompo, Software Developer, Senacor In 2018, mobile app downloads topped 194 billion, and experts forecast that number to rise another 30% or more by 2022. As a developer, you need a fast, safe, efficient way to take advantage of this incredible opportunity! Enter: Flutter, a game-changing software development kit designed for building lightning-fast, stunning apps that run on iOS and Android. Flutter in Motion walks you through a complete Flutter application start to finish! Through rich visual content and seasoned developer Scott Cornell’s expert instruction, you’ll learn about widget trees, element trees, reactive programming with Flutter, and the differences between implicit, transition, and explicit animations. You’ll discover key Flutter design patterns and best practices, learn how to handle asynchronous calls, and use ahead-of-time (AOT) and just-in-time (JIT) compilation for customization, general performance, and hot reloading. You’ll also learn how to take advantage of Flutter’s built-in widgets while you build a fully functioning money management application. Along the way, you’ll gain exposure to Google’s Dart programming language, easy to learn for anyone with experience with a high-level language. Flutter, a ground-breaking cross-platform software development kit created by Google, makes it easier than ever to create highly responsive, secure, beautiful native apps for iOS and Android. Flutter embraces modern design patterns, so its applications are loosely-coupled and easy to scale. And because Flutter compiles Dart code to platform-specific programs with no need for a JavaScript bridge, it’s blindingly fast. Flutter’s built-in widgets and rich motion APIs make you productive fast, so your Flutter apps are as responsive as they are gorgeous! Inside: Reactive programming with Flutter Using AOT and JIT for production and development Widget keys and when to use them Handling asynchronous calls Using implicit, explicit, and transition animations How to handle user input Flutter design patterns, anti-patterns, and best practices For intermediate developers with experience in a high-level language like Java, JavaScript or C#. You’ll need some prior exposure to object-oriented and asynchronous programming. Scott Cornell has been a developer for over 18 years. His work has run the gamut from desktop applications to Web and mobile apps. He loves to learn new t...
    Note: Online resource; Title from title screen (viewed December 11, 2019) , Mode of access: World Wide Web.
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    Get Programming with Python in Motion (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Provides an easy to follow introduction to both computer programming and the Python language. Shawn Bolan Don’t know anything about programming? No problem! This video course is designed for people who have never written a line of computer code. Using Python, a language designed for teaching and learning how to program, you’ll learn key skills that every coder needs. First, your instructor Ana Bell guides you through installing Python onto your computer. Then, you’ll work through a few super-easy (and fun!) examples that teach you about how Python looks and works. After you get started, you’ll learn how to build programs that can automatically repeat actions and make decisions based on the conditions YOU set. You’ll get experience with the process of program writing, and learn to combine different pieces of code so that they can work together. Finishing everything off, you’ll learn ways to make your code more readable and easier to maintain in the future. This video course works perfectly alongside Ana’s book Get Programming: Learn to code with Python , each building on the other to give you a complete tour of this great language! Programming now plays a role in almost every job. It’s time to add it to your resume! Python is great for beginners, and it’s also a language that grows with you. You can use Python for everything from web development to data science. This video course will get you started the easy way! Inside: Programming skills you can use in any language Variables, expressions, and statements Getting a program to repeat tasks and make decisions Essential best practices for clean and easy to maintain code How to write programs that can interact with a mouse, keyboard, and more! No experience with programming is needed, this video course is for anyone! Ana Bell is an MIT lecturer and scientist who teaches the popular course, Introduction to Computer Science and Programming Using Python. She is also the author of Manning’s bestselling Get Programming: Learn to code with Python. This is a good introductory course to the basics of programming utilizing the Python language. Joe Houghes If you have ever wanted to learn Python, through a video course, then this is a great course to go with. Mike F. Cuddy
    Note: Online resource; Title from title screen (viewed September 27, 2019) , Mode of access: World Wide Web.
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    C# in Depth, 4th Ed, Video Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Jon doesn’t just explain how C# works; he explains how the whole thing holds together as a unified design, and also points out when it doesn’t." From the Foreword by Eric Lippert, Facebook C# in Depth, Fourth Edition is your key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, you'll master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more. The powerful, flexible C# programming language is the foundation of .NET development. Even after two decades of success, it's still getting better! Exciting new features in C# 6 and 7 make it easier than ever to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. There's never been a better time to learn C# in depth. C# in Depth, Fourth Edition is a revised edition of the bestseller written by C# legend Jon Skeet. This authoritative and engaging guide is your key to unlocking this powerful language, including the new features of C# 6 and 7. In it, Jon introduces expression-bodied members, interpolated strings, pattern matching, and more. Real-world examples drive it all home. By the end of this awesome book, you'll be writing C# code with skill, style, and confidence. Inside: Comprehensive coverage of C# 6 and 7 Greatest hits of C# 2–5 Extended pass-by-reference functionality String interpolation Composition with tuples Decomposition and pattern matching This book/course is made for for intermediate C# developers. Jon Skeet is a senior software engineer at Google. He studied mathematics and computer science at Cambridge, is a recognized authority in Java and C#, and maintains the position of top contributor to Stack Overflow. Provides an excellent overview of the evolution of C# with helpful and realistic examples that make learning the newest features of C# easy. Meredith Godar, Innovative Software Engineering This book has it all—from the beginnings of C# to insights on the future of the language and everything in between! Willem van Ketwich, National Australia Bank NARRATED BY DEREK LETTMAN
    Note: Online resource; Title from title screen (viewed March 7, 2019) , Mode of access: World Wide Web.
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    Natural Language Processing in Action Video Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models." Dr. Arwen Griffioen, Zendesk Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Inside: Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines This book/course requires a basic understanding of deep learning and intermediate Python skills. Hobson Lane , Cole Howard , and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Provides a great overview of current NLP tools in Python. I’ll definitely be keeping this book on hand for my own NLP work. Highly recommended! Tony Mullen, Northeastern University–Seattle An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way. Tommaso Teofili, Adobe Systems NARRATED BY MARK THOMAS
    Note: Online resource; Title from title screen (viewed April 29, 2019) , Mode of access: World Wide Web.
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    Cloud Native Patterns video edition (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This book fills a gap between theory and practice...entertaining and educational. From the Foreword by Gene Kim, coauthor of The Phoenix Project Cloud Native Patterns is your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. about the technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you’ll be ready to thrive in the dynamic, distributed, virtual world of the cloud. about the book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. what's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers about the audience Requires basic software design skills and an ability to read Java or a similar language. about the author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she’s spent the last 25 years making good software and great software developers. The book’s focus on real world challenges makes this an essential manual for modern day projects. David Schmitz, Senacor Technologies Demystifies the process of building self-healing, distributed, and resilient web applications with low operational maintenance. Raveesh Sharma, Stellapps Technologies A direct and definitive guide to cloud native, with real-life experience driving the narrative. A must-read for practicing engineers who want to feel like a native in the cloud. Shanker Janakiraman, Urjanet NARRATED BY SARA...
    Note: Online resource; Title from title screen (viewed May 12, 2019) , Mode of access: World Wide Web.
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    Go in Action Video Edition (2018)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "A concise and comprehensive guide to exploring, learning, and using Go." From the Foreword by Steve Francia, Creator of Hugo Go in Action introduces the Go language, guiding you from inquisitive developer to Go guru. It begins by introducing the unique features and concepts of Go. Then, you'll get hands-on experience writing real-world applications including websites and network servers, as well as techniques to manipulate and convert data at speeds that will make your friends jealous. Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book/course provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing. Application development can be tricky enough even when you aren't dealing with complex systems programming problems like web-scale concurrency and real-time performance. While it's possible to solve these common issues with additional tools and frameworks, Go handles them right out of the box, making for a more natural and productive coding experience. Developed at Google, Go powers nimble startups as well as big enterprises that rely on high-performing services in their infrastructure. Inside: Language specification and implementation Go's type system Internals of Go's data structures Testing and benchmarking This book/course assumes you're a working developer proficient with another language like Java, Ruby, Python, C#, or C++. William Kennedy is a seasoned software developer and author of the blog GoingGo.Net. Brian Ketelsen and Erik St. Martin are the organizers of GopherCon and coauthors of the Go-based Skynet framework. This authoritative book is a one-stop shop for anyone just starting out with Go. Sam Zaydel, RackTop Systems Brilliantly written; a comprehensive introduction to Go. Highly recommended. Adam McKay, SUEZ This book makes the uncommon parts of Go understandable and digestible. Alex Vidal, HipChat at Atlassian NARRATED BY MARK THOMAS
    Note: Online resource; Title from title screen (viewed November 1, 2018) , Mode of access: World Wide Web.
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    Modern Java in Action Video Edition (2018)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: "A comprehensive and practical introduction to the modern features of the latest Java releases with excellent examples!" Oleksandr Mandryk, EPAM Systems Manning's bestselling Java 8 book has been revised for Java 9 and 10! In Modern Java in Action , you'll build on your existing Java language skills with the newest features and techniques. Modern applications take advantage of innovative designs, including microservices, reactive architectures, and streaming data. Modern Java features like lambdas, streams, and the long-awaited Java Module System make implementing these designs significantly easier. It’s time to upgrade your skills and meet these challenges head on! Modern Java in Action connects new features of the Java language with their practical applications. Using crystal-clear examples and careful attention to detail, this book respects your time. It will help you expand your existing knowledge of core Java as you master modern additions like the Streams API and the Java Module System, explore new approaches to concurrency, and learn how functional concepts can help you write code that’s easier to read and maintain. Inside: Thoroughly revised edition of Manning’s bestselling Java 8 in Action New features in Java 8, Java 9, and beyond Streaming data and reactive programming The Java Module System Written for developers familiar with core Java features. Raoul-Gabriel Urma is CEO of Cambridge Spark. Mario Fusco is a senior software engineer at Red Hat. Alan Mycroft is a University of Cambridge computer science professor; he cofounded the Raspberry Pi Foundation. My Java code improved significantly after reading this book. I was able to take the clear examples and immediately put them into practice. Holly Cummins, IBM Hands-on Java 8 and 9, simply and elegantly explained. Deepak Bhaskaran, Salesforce A lot of great examples and use cases for streams, concurrency, and reactive programming. Rob Pacheco, Synopsys NARRATED BY SARAH DAWE AND LOU FERNANDEZ
    Note: Online resource; Title from title screen (viewed September 26, 2018) , Mode of access: World Wide Web.
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