Python is free and easy to learn if you know where to start! This guide will help you to get started quickly. Chinese Translation New to Python? Read BeginnersGuide/Overview for a short explanation of what Python is. Getting Python Next, install the Python interpreter on your computer. There are currently two major versions of Python available: Python 2 and Python 3. See BeginnersGuide/Download for instructions for downloading the correct version of Python.
At some stage, you'll want to edit and save your program code. Learning Python Next, read a tutorial and try some simple experiments with your new Python interpreter. If you've never programmed before, see BeginnersGuide/NonProgrammers for a list of suitable tutorials. Most tutorials assume you know how to run a program on your computer. Once you've read a tutorial, you can browse through Python's online documentation. When you are ready to write your first program you will need a text editor. Need Help? The Hitchhikers Guide to Python! — pythonguide 0.0.1 documentation. Welcome to The Hitchhiker’s Guide to Python.
This guide is currently under heavy active development. If you’d like to help, fork us on GitHub! This opinionated guide exists to provide both novice and expert Python developers a best-practice handbook to the installation, configuration, and usage of Python on a daily basis. Getting Started This part of the guide focuses on setting up your Python environment. Properly Install Python Writing Great Code This part of the guide focuses on best practices for writing Python code. Scenario Guide This part of the guide focuses on tool and module advice based on different scenarios.
Shipping Great Code This part of the guide focuses on deploying your Python code. Additional Notes This part of the guide, which is mostly prose, begins with some background information about Python, then focuses on next steps. Contribution notes and legal information are here (for those interested). Style Guide for Python Code. Python (programming language) Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles.
It features a dynamic type system and automatic memory management and has a large and comprehensive standard library. Like other dynamic languages, Python is often used as a scripting language, but is also used in a wide range of non-scripting contexts. Using third-party tools, such as Py2exe, or Pyinstaller, Python code can be packaged into standalone executable programs. Python interpreters are available for many operating systems. CPython, the reference implementation of Python, is free and open source software and has a community-based development model, as do nearly all of its alternative implementations. Python 3.0 (also called Python 3000 or py3k), a major, backwards-incompatible release, was released on 3 December 2008 after a long period of testing.
An important goal of the Python developers is making Python fun to use. Software Carpentry. The Problem Many scientists and engineers spend much of their lives writing, debugging, and maintaining software, but only a handful have ever been taught how to do this effectively: after a couple of introductory courses, they are left to rediscover (or reinvent) the rest of programming on their own.
The result? Most spend far too much time wrestling with software when they'd rather be doing research, but still have no idea how reliable or efficient that software is. The Solution This site presents an intensive course on basic software development practices for scientists and engineers. Python beginner's mistakes. Every Python programmer had to learn the language at one time, and started out as a beginner.
Beginners make mistakes. This article highlights a few common mistakes, including some I made myself. Beginner's mistakes are not Python's fault, nor the beginner's. They're merely a result of misunderstanding the language. However, there is a difference between misunderstanding (often subtle) language features, vs misunderstanding the language as a whole, and what can (and cannot) be done with it. To put it another way, the mistakes in this article are often cases of "the wrong tool for the job", rather than coding errors or sneaky language traps. Mistake 1: trying to do low-level operations Python is sometimes described as a VHLL, a Very High-Level Language.
This doesn't mean that it isn't possible to do these things with Python; but it's probably just not the right language for these jobs. Mistake 2: writing "language X" code in Python This is a mistake that is almost unavoidable. Some advice. The Zen of Python. Abstract Long time Pythoneer Tim Peters succinctly channels the BDFL's guiding principles for Python's design into 20 aphorisms, only 19 of which have been written down. The Zen of Python Beautiful is better than ugly. Explicit is better than implicit.
Simple is better than complex. Easter Egg >>> import this Copyright This document has been placed in the public domain. The Python Challenge.