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  • 2020-2024  (23)
  • 1970-1974
  • 1940-1944
  • Manning 〈Firm〉,  (23)
  • Grimm, Wilhelm
  • Python (Computer program language)  (23)
  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides ; Computer programming Study guides ; Computer programming ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python is the #1 programming language for beginners due to its simple syntax, wide range of applications, and helpful community resources. This course, intended for absolute beginners, will start you on your coding journey with Python 3, the most recent version of the language. We start by setting up a Python environment and learning programming basics, then move on to cover object-oriented programming, regular expressions, interacting with HTTP (Hypertext Transfer Protocol), networking and more. Enroll now to receive over 17 hours of HD video tutorials with English captions, and a certificate of completion! Python calculator After learning Python basics, we will code our first program, a calculator. Web scraping We will code a simple web scraper to extract data rom a web site. This will demonstrate how to use Python to interact with HTTP. Chat program We will code a chat program using another communication protocol, WebSockets, to learn the basics of networking with Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Hacking ; Computer security ; Penetration testing (Computer security) ; Computer programmers Professional ethics ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master ethical hacking while working on practical Python coding projects. Learn Python hacking skills, ethical hacking principles, penetration testing, cybersecurity, and more with over 17 hours of video tutorials. Designed for those with intermediate- to advanced-level understanding of ethical hacking, this course is still taught in a step-by-step, beginner-friendly method. We begin with coding basic port and vulnerability scanning tools; move onto SSH, FTP, and spoofing attacks; take a look at network analysis; and finish up with coding a reverse shell, command and control center, and several website penetration testing tools. Upon completing this course, you will be prepared for a job in the cybersecurity industry. Learn all these skills while completing eight coding projects: Port and vulnerability scanner SSH brute-forcer MAC address changer ARP spoofer DNS spoofer Multi-functioning reverse shell Keylogger Command and control center.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This A to Z course introduces newcomers to the world of data science and teaches the fundamental skills for using machine learning and artificial intelligence (AI) to glean meaning and insights from data. It covers Python's data types and shows how to use the must-have Python data science libraries, including Pandas for data analysis and Matplotlib for creating visuals of the results. Once you understand how to format and clean your data and perform exploratory data analysis, we move to the machine learning side. Here, we introduce you to supervised vs unsupervised learning, as well as the core algorithms, including simple and multiple linear regression. We finish up with a deep dive into a recommender system for movies, and a chance to put together all your new skills and knowledge. Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it, learning and applying these algorithms in the real world. The data science field is lucrative and growing. This course will introduce you to all the foundational skills that a data scientist must have. If you have no background in statistics, don't let that stop you from enrolling in this course!.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (18 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides ; Computer programming Study guides ; Computer programming ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This is the course for people who want to get started programming with Python, and are interested in entering the fields of coding or data science. But it is comprehensive enough for more experienced Python coders who want to brush up on their skills or fill in missing gaps. With over 18 hours of HD video tutorials, this course is designed to fully immerse you in the Python language as you start from the basics of programming and go through to advanced Python concepts. We'll also cover web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more. Get hands-on practice building these ten coding projects: Simple calculator RPG battle script Web scraper PyMongo database Webpy web app Django website PyQt calculator GUI PyQt web browser Data visualization with matplotlib and Pandas Speech recognition & AI.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Six Small Algorithm Projects with Python: Video Walkthrough Algorithms are the foundations of computer science. In this series of liveProjects, you'll watch as an expert uses specific algorithms to solve important programming problems. Six Small Algorithm Projects with Python is one of the most popular series on Manning's liveProject platform. Working though the series by hand takes weeks, but now there's a simpler way. In this series of videos, experienced data science lecturer Charles Rice guides you through the entire series, bringing you all the lessons in a fraction of the time. As you watch, you'll learn how to use recursion to draw complex shapes, search linked data structures, and layout and draw trees. You'll learn how to use network algorithms to find shortest paths and assign employees to jobs. As you master the projects in this series, you'll gain an understanding of a variety of algorithmic topics, data structures, and general programming techniques. Rod Stephens, series author Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects. Charles Rice, video presenter Charles Rice is a Senior Data Science Instructor with the Flatiron School. He has worked in data science education for nearly a decade, teaching machine learning and statistical analysis to hundreds of students in the United States and abroad. In industry, he has worked as a Research Engineer for BlockScience, a blockchain R&D consultancy, and consults on data science and engineering for several FinTech organizations. He is a CompTIA Subject Matter Expert for the forthcoming DataX certification exam. Before getting into code and machine learning, he worked as a journalist and corporate communications professional.
    Note: "Video walkthrough.". - Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 50 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: If you're new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer. Inside The Well-Grounded Python Developer you will discover: Building modules of functionality Creating a well-constructed web server application Integrating database access into your Python applications Refactor and decoupling systems to help scale them How to think about the big picture of your application The Well-Grounded Python Developer builds on Python skills you've learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you'll discover how all the bits of Python link up as you build and modify a typical web server application--the kind of web app that's in high demand by modern businesses. About the Technology As a new programmer, you're happy just to see your code run. A professional developer, on the other hand, needs to create software that runs reliably. It must be fast, maintainable, scalable, secure, well designed and documented, easy for others to update, and quick to ship. This book teaches you the skills you need to go from Python programmer to Python developer. About the Book The Well-Grounded Python Developer shows you why Python, the world's most popular programming language, is a fantastic tool for professional development. It guides you through the most important skills, like how to name variables, functions, and classes, how to identify and write a good API, and how to use objects. You'll also learn how to deal with inevitable failures, how to make software that connects to the internet, core security practices, and many other professional-grade techniques. What's Inside Create a web application Connect to a database Design programs to handle big tasks About the Reader For experienced beginners who want to learn professional-level skills. About the Author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. Quotes A fun journey, and a great resource. With this book as your guide, you'll be on the summit before you know it. - From the Foreword by Michael Kennedy, founder of Talk Python Training Well-structured with excellent code examples. I highly recommend getting this book to build your Python skills. - Stanley Anozie, Hospitality Digital An excellent tutorial in the foundations of Python development for both the novice and experienced developer. - Philip Best, Amazon This is the best Python reference I've read so far. - Julien Pohie, ThoughtWorks.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 53 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the Technology Face it. Slow code will kill a big data project. Fast pure-Python code, optimized libraries, and fully utilized multiprocessor hardware are the price of entry for machine learning and large-scale data analysis. What you need are reliable solutions that respond faster to computing requirements while using less resources, and saving money. About the Book Fast Python is a toolbox of techniques for speeding up Python, with an emphasis on big data applications. Following the clear examples and precisely articulated details, you'll learn how to use common libraries like NumPy and pandas in more performant ways and transform data for efficient storage and I/O. More importantly, Fast Python takes a holistic approach to performance, so you'll see how to optimize the whole system, from code to architecture_._ What's Inside Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing About the Reader For intermediate Python programmers familiar with the basics of concurrency. About the Author Tiago Antao is one of the co-authors of Biopython, a major bioinformatics package written in Python. Quotes A great resource for learning how to create performant Python code. - Or Golan, Qedma Quantum Computing If you think Python is too slow, this book is for you! Parallelization. Vectorization. Using Cython and Numba to compile to C. Putting code onto a GPU to massively parallelize it. Buy a copy for every data scientist in your org. - James Liu, Mediaocean The time you invest reading this book will be repaid multifold in your project's design and the performance you'll gain. - Ruud Gijsen, Simbeyond.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning
    Abstract: If you know the basics of Python and you want to know deep learning, this course is designed for you. You'll learn the theory behind this branch of artificial intelligence and machine learning, as well as the practical skills of building neural networks to create deep learning models for prediction and for automating and simplifying tasks. Once you've digested the fundamentals, we'll walk you through a project: implementing an artificial neural network in Python to create a deep learning model. Step by step, you'll see how to work with datasets and build each layer of the network. By the end of the course, you will be familiar with the fundamental neural network architectures, including recurrent neural networks (RNNs) and convolutional neural networks (CNNs)) networks, and you will be able to build your own DL neural networks using Python, Keras, and Tensorflow. In short, you will be ready to build models and create programs that take data input and automate feature extraction, simplifying real-world tasks for humans. This video course stands out from the hundreds of machine learning resources available on the internet because it filters out the fluff and unnecessary information and focuses on the essentials you need to get started on your deep learning journey. Consider this a fundamentals course that suits both beginners and more advanced deep learning practitioners who are looking to refresh or fill in the gaps in their knowledge.
    Note: Vendor-supplied metadata
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course teaches you the Python basics--nothing more, nothing less. Taking the time to explain the basics gives you the foundation you need to start any project or learning path and career. To be clear, this course is not an all-in-one, 60-hour course with 45 projects that's going to take you 6 months to complete. I'm not saying those courses are bad; I'm taking a different approach to focus on just the basics. At the end of this course, and this is important, you will have a strong foundation in Python basics. You will be able to build on that foundation with confidence.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/33
    Keywords: Python (Computer program language) ; Information visualization ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to visualize year-wise mean values using a grouped bar plot and how to perform exploratory data analysis using subplots of different types.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python packages have a lot of moving parts, and it can be daunting making sure it's all set up properly before you put something out there. Join Dane Hillard as he thinks of a Python package to create, which he then builds and publishes from scratch!.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Data structures (Computer science) ; Computer algorithms ; Algorithms ; Python (Langage de programmation) ; Structures de données (Informatique) ; Algorithmes ; algorithms ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Kyle demonstrates how to write programs to help users analyze housing data. You'll learn to read and write CSV files, and you'll implement algorithms to efficiently sort, search through, and de-duplicate the data.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Start creating a rule-based dialog engine or state machine from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to install Anaconda and get started with the Jupyter Notebook application for creating your Python projects.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course provides you with the essentials to understand how companies like Google and Amazon use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets. You'll learn how to work with machine learning algorithms and develop the highly-employable skills of a data scientist. These videos minimize jargon and mathematical notations, instead explaining the topics in plain English to make them easy to comprehend. Once you get your hands on the sample code we provide, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. You'll walk away from each video with a fresh idea that you can put to use right away! You'll work in Python using sciket-learn (sklearn), a free machine learning library built for Python. All you need to succeed in this course is basic skills in mathematics and Python. Even if you have no prior statistical experience, you will learn to work with machine learning algorithms like a pro.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 5 min.)) , sound, color.
    Edition: Video edition.
    DDC: 519.55
    Keywords: Time-series analysis Data processing ; Time-series analysis Computer programs ; Python (Computer program language) ; Python (Computer program language) ; Time-series analysis ; Computer programs ; Time-series analysis ; Data processing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivariate forecasting models to predict many time series at once Leverage large datasets by using deep learning for forecasting time series Automate the forecasting process Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. About the Technology You can predict the future--with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before. About the Book Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you'll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you'll soon be ready to build your own accurate, insightful forecasts. What's Inside Create models for seasonal effects and external variables Multivariate forecasting models to predict multiple time series Deep learning for large datasets Automate the forecasting process About the Reader For data scientists familiar with Python and TensorFlow. About the Author Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks. Quotes The importance of time series analysis cannot be overstated. This book provides key techniques to deal with time series data in real-world applications. Indispensable. - Amaresh Rajasekharan, IBM Marco Peixeiro presents concepts clearly using interesting examples and illustrative plots. You'll be up and running quickly using the power of Python. - Ariel Andres, MD Financial Management What caught my attention were the practical examples immediately applicable to real life. He explains complex topics without the excess of mathematical formalism. - Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland. Narrated by Adam Newmark.
    Note: Reader unidentified. - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.35
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Neural networks (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this video, Hobson Lane uses nessvectors to measure the hotness and coolness of names and words.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Applying the full spectrum of unsupervised learning algorithms.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 10, 2022)
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  • 19
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (15 hr., 3 min.)) , sound, color.
    Edition: Second edition.
    DDC: 006.31
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Neural Networks, Computer ; Python (Langage de programmation) ; Apprentissage automatique ; Réseaux neuronaux (Informatique) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code. He is also an experienced ML researcher and his insights on various model architectures or training tips are a joy to read. Martin Görner, Google Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world. In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Timeseries forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You'll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. about the technology Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. This book shows you how to get started. about the book Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications. about the audience For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the author François Chollet is a software engineer at Google and creator of the Keras deep-learning library. Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner. Sayak Paul, Carted The modern classic just got better. Edmon Begoli, Oak Ridge National Laboratory Truly the bible of deep learning. Yiannis Paraskevopoulos, University of West Attica NARRATED BY DEREK DYSART.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
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  • 20
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Social networks ; Graph theory Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: A primer for social network analysis using Python's NetworkX graph analysis library.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Manning's authors Reuven Lerner and Dane Hillard discuss the past, present, and future of the Python programming language, privacy engineering, Big Data, and ethics. Their passionate and dynamic conversation in this Code Call Session is geared toward becoming a Pythonista pro.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explanation of distributed gradient descent with an algorithm Horovod using multivariate linear regression in PyTorch and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this tour de force live coding session, an expert Python coach Reuven Lerner shows you how functions work behind the scenes and how you can use them in different ways.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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