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The Python Tutorial¶ This is the official tutorial. It covers all the basics, and offers a tour of the language and the standard library. Recommended for those who need a quick-start guide to the language. Real Python¶ Real Python is a repository of free and in-depth Python tutorials created by a diverse team of professional Python developers. At Real Python you can learn all things Python from th
Common Gotchas¶ For the most part, Python aims to be a clean and consistent language that avoids surprises. However, there are a few cases that can be confusing for newcomers. Some of these cases are intentional but can be potentially surprising. Some could arguably be considered language warts. In general, what follows is a collection of potentially tricky behavior that might seem strange at firs
Testing Your Code¶ Testing your code is very important. Getting used to writing testing code and running this code in parallel is now considered a good habit. Used wisely, this method helps to define your code’s intent more precisely and have a more decoupled architecture. Some general rules of testing: A testing unit should focus on one tiny bit of functionality and prove it correct. Each test un
Pipenv & Virtual Environments¶ This tutorial walks you through installing and using Python packages. It will show you how to install and use the necessary tools and make strong recommendations on best practices. Keep in mind that Python is used for a great many different purposes, and precisely how you want to manage your dependencies may change based on how you decide to publish your software. Th
Code Style¶ If you ask Python programmers what they like most about Python, they will often cite its high readability. Indeed, a high level of readability is at the heart of the design of the Python language, following the recognized fact that code is read much more often than it is written. One reason for the high readability of Python code is its relatively complete set of Code Style guidelines
Reading Great Code¶ One of the secrets of becoming a great Python programmer is to read, understand, and comprehend excellent code. Excellent code typically follows the guidelines outlined in Code Style, and does its best to express a clear and concise intent to the reader. Included below is a list of recommended Python projects for reading. Each one of these projects is a paragon of Python coding
Mac OS X comes with Python 2.7 out of the box between versions 10.8 and 12.3. If your Mac OS X version is between the above versions, you do not need to install or configure anything else to use Python. Having said that, I would strongly recommend that you install the tools and libraries described in the next section before you start building Python applications for real-world use. In particular,
Structuring Your Project¶ By “structure” we mean the decisions you make concerning how your project best meets its objective. We need to consider how to best leverage Python’s features to create clean, effective code. In practical terms, “structure” means making clean code whose logic and dependencies are clear as well as how the files and folders are organized in the filesystem. Which functions s
First, download the latest version of Python 2.7 from the official website. If you want to be sure you are installing a fully up-to-date version, click the Downloads > Windows link from the home page of the Python.org web site . The Windows version is provided as an MSI package. To install it manually, just double-click the file. The MSI package format allows Windows administrators to automate ins
The Hitchhiker’s Guide to Python!¶ Greetings, Earthling! Welcome to The Hitchhiker’s Guide to Python. This is a living, breathing guide. If you’d like to contribute, fork us on GitHub! This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook for the installation, configuration, and usage of Python on a daily basis. This guide is opinionated in a wa
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