Description: Intuitive Python : Productive Development for Projects That Last, Paperback by Muller, David, ISBN 1680508237, ISBN-13 9781680508239, Like New Used, Free shipping in the US
Developers power their projects with Python because it emphasizes readability, ease of use, and access to a meticulously maintained set of packages and tools. The language itself continues to improve with every release: writing in Python is full of possibility. But to maintain a successful Python project, you need to know more than just the language. You need tooling and instincts to help you make the most out of whats available to you. Use this book as your guide to help you hone your skills and sculpt a Python project that can stand the test of time.
No matter your experience level or background, Pythons batteries-included standard library and rich third-party ecosystem provide a solid foundation to build your projects on. With the right intuition and background knowledge, you can take advantage of all the power Python offers. Take a guided tour of some of Pythons high points to craft a project that you can sustain and build on for a long time.
Run static analysis tools to detect and eliminate classes of bugs before you run code. Experiment with Pythons concurrency model and develop patterns for using Pythons thread and process abstractions to their full potential. Introduce yourself to Pythons type hinting system: mypy. and run third-party Python packages and do so safely without compromising on security. Debug code using Pythons built in debugger, and try procedures out in the interactive console. Run your code under new versions of the Python interpreter to unlock performance and usability improvements. All along the way, sharpen your Python instincts so you can keep your code clean and reduce the chance of bugs.
Mine Python for all you can by playing to its strengths and embracing patterns that harness its potential.
What You Need:
Ths assumes you have some experience programming in any language (not necessarily Python). To run the code presented in th, youll need a Python environment which you can from
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