The Python programming language reconciles many apparent contradictions: elegant yet pragmatic, simple yet powerful, it’s very high-level yet doesn’t get in your way when you need to fiddle with bits and bytes, and it’s suitable for novice programmers and great for experts, too.
This book is intended for programmers with some previous exposure to Python, as well as experienced programmers coming to Python for the first time from other languages. It provides a quick reference to Python itself, the most commonly used parts of its vast standard library, and a few of the most popular and useful third-party modules and packages. The Python ecosystem has grown so much in richness, scope, and complexity that a single volume can no longer reasonably hope to be encyclopedic. Still, the book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. It also explores Python’s cross-platform capabilities and the basics of extending Python and embedding it in other applications.
Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.
Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.
There is more to Python programming than just the language: the standard library and other extension modules are almost as important for Python use as the language itself. The Python standard library supplies many well-designed, solid Python modules for convenient reuse. It includes modules for such tasks as representing data, processing text, interacting with the operating system and filesystem, and web programming, and works on all platforms supported by Python.
This handy guide will help you Learn how Python represents data and program as objects Understand the value and uses of type annotations Examine which language features appeared in which recent versions Discover how to use modern Python idiomatically Learn ways to structure Python projects appropriately Understand how to debug Python code
Python Programming Crash Course 2 in 1This Book Includes: Python Programming for Beginners, Python Programming for Intermediates Learn the Fundamentals of Python ProgrammingPython is one of the best programming languages out there. It is easy for beginners to learn and powerful enough to help even advanced programmers get their wo ...
Unleash the power of Python for your data analysis projects with For Dummies!Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.
The fast and easy way to learn Python programming and statistics. Python is a general-purpose programming language created in the late 1980s - and named after Monty Python - that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Scienc ...
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