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Focusing on practical applications, this book teaches image processing concepts using Python 3 and Raspberry Pi 4. It utilizes the latest Raspberry Pi OS and emphasizes the 8 GB RAM model for optimal performance. Readers will learn to create applications that harness the power of image processing, making it suitable for both beginners and experienced developers interested in leveraging Raspberry Pi technology for their projects.

Focusing on automation libraries like doctest, unittest, and pytest, this book provides a comprehensive guide to automating unit tests in Python 3. It covers essential concepts in software test automation, teaching readers how to effectively automate, organize, and execute unit tests. Additionally, it introduces web browser automation and logging techniques, making it a valuable resource for developers looking to enhance their testing skills.

Ideal for beginners, this guide offers a hands-on approach to programming with Linux using the Raspberry Pi OS. It covers essential Linux commands, graphical user interface (GUI) navigation, and shell scripting, blending advanced techniques with everyday tasks. Readers will gain practical skills tailored for low-cost Raspberry Pi devices, making it an excellent resource for those eager to start coding efficiently in a Linux environment.

This book delves into essential libraries for data analysis and visualization in Python, specifically NumPy, Matplotlib, and Pandas. It emphasizes advanced data visualization techniques, particularly using Matplotlib, which offers a MATLAB-like experience for creating plots. Readers will gain expert-level skills in embedding plots into applications, enhancing their programming proficiency with Python 3.

Focusing on practical skills, this guide offers a step-by-step approach to programming with Python 3 specifically for data visualization. It introduces essential libraries like Leather, NumPy, Matplotlib, and Pandas, providing readers with the tools needed to create effective visual representations for both business and scientific applications. The programming-friendly format ensures that even beginners can quickly grasp the concepts and start visualizing data efficiently.

Quickly learn how to automate unit testing of Python 3 code with Python 3 automation libraries, such as doctest, unittest, nose, nose2, and pytest. This book explores the important concepts in software testing and their implementation in Python 3 and shows you how to automate, organize, and execute unit tests for this language. This knowledge is often acquired by reading source code, manuals, and posting questions on community forums, which tends to be a slow and painful process. Python Unit Test Automation will allow you to quickly ramp up your understanding of unit test libraries for Python 3 through the practical use of code examples and exercises. All of which makes this book a great resource for software developers and testers who want to get started with unit test automation in Python 3 and compare the differences with Python 2. This short work is your must-have quick start guide to mastering the essential concepts of software testing in Python. What You'll Learn: Essential concepts in software testing Various test automation libraries for Python, such as doctest, unittest, nose, nose2, and pytest Test-driven development and best practices for test automation in Python Code examples and exercises Who This Book Is For: Python developers, software testers, open source enthusiasts, and contributors to the Python community

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming.The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using linear algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home.What You Will LearnWho This Book Is ForPython 3 developers who seek the knowledge of parallel programming, Raspberry Pi enthusiasts, researchers, and the scientific Python community.