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  • Safari, an O’Reilly Media Company  (4)
  • Safari Tech Books Online
  • ebrary, Inc
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (4)
  • Electronic videos  (4)
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838829780
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create your own 3D graphics with OpenGL and C++ About This Video Learn to set up an OpenGL window using GLFW and the OpenGL API Grasp the technique of programming with modern OpenGL In Detail With this interactive course, you can now take your first step toward learning modern OpenGL programming. You’ll go through a brief history of OpenGL, which will help you understand why it’s important to explore modern OpenGL with its programmable rendering pipeline over the fixed function pipeline. The course will start by taking you through the basics of getting OpenGL running in a window using the Graphics Library Framework (GLFW). Next, you’ll gain insights into rendering polygons to the display by sending buffers of data to the computer graphics card and programming it using shaders with the GLSL shading language. Later, you’ll learn how to map textures to your objects. The course will also help you set up a virtual camera using keyboard and mouse inputs to enable you to move around in the scene. After you have the fundamentals working, you can go on to building more complex elements. You’ll learn how to load 3D models and add impactful lighting to the scene. With each lesson, you’ll build the framework with reusable C++ and OpenGL code. You’ll start with a blank project and write code each step of the way, with every lesson building on the last. The easy-to-follow approach of this course makes it a suitable option even if you’ve never explored OpenGL. Using the source code, prebuilt third-party libraries, and Visual Studio solutions included in this course, you’ll be able to successfully start with building your own game engine. By the end of this course, you’ll have learned how to set up and render in 3D with modern OpenGL. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learn-Modern-OpenGL-Programming . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 25, 2019)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983383
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839212956
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more! About This Video No prior knowledge of Python is required. You will learn how to write clean and proper Python code as we take you through the concepts, some example projects, and the proper programming structure. Acquire the prerequisite Python skills to move into specific branches of web development, data science, image processing, and more. In Detail Welcome to "Python Programming A-Z – Learn Python Programming by Building Five Projects," a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: Basics of Python programming – expressions, variables, and printing output Python operators – the Python assignment operator, relational and logical operators, and short circuit operators Python conditionals and if statements Methods – parameters, arguments, and return values Object-oriented programming – classes and objects Encapsulation, inheritance, and abstract classes Python data structures in-depth – lists, sets, dictionaries, and tuples Conditionals – if/else statements and nested if/else Loops – for loops, while loops, break, and continue The mutability and immutability of Python’s basic types Built-in and user-defined modules Errors and exception handling – try, except, else, and finally Custom exceptions – raising exceptions and creating and raising a custom exception Data analysis with Pandas Face recognition with OpenCV Building a GUI application with Tkinter An automated Twitter bot with Tweepy Understanding the basics of databases and working with SQLite 3 Five projects with OpenCV, pandas, PyTube, Tkinter, Tweepy, and more After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself! Most importantly, you will be ready to use the huge scope offered by Python programming.
    Note: Online resource; Title from title screen (viewed October 11, 2019)
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789133394
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark About This Video Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world. Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks. In Detail This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more.
    Note: Online resource; Title from title screen (viewed April 16, 2018)
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