Python Cheat Sheet



Cheat sheets can be really helpful when you’re trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well. You can click here and download all of the original sheets in a single document.

  1. Python Cheat Sheet Mosh
  2. Python Cheat Sheet Git
  3. Python

In Python, lists can be added to each other using the plus symbol +. As shown in the code block, this will result in a new list containing the same items in the same order with the first list’s items coming first. Note: This will not work for adding one item at a time (use.append method). In order to add one item, create a new list with a. Python is a flexible programming language that has become increasingly popular in the past few years. This cheat sheet is designed to give you a handy resource for common Python data types, Python operators, and Python functions. It includes Python data types, operators, special characters, f-strings, and functions for working with robots.

A more recently updated version of these sheets (April 2021) is available through Leanpub. The updated version includes a sheet that focuses on Git basics, a printer-friendly b&w version of each sheet, and each sheet as a separate document. There is an option to download the fully updated set at no cost.

If you’d like to know when more resources become available, you can sign up for email notifications here.

Programming isn’t easy, especially if you’re not good at memorization. Depending on the language you are working with, you must recall a fair share of syntax, commands, and functions. Even if you work with code every day, it’s information that’s easy to forget. That’s exactly what our cheat sheets are for. The Python cheat sheets we provide contain. SpaCy Cheat Sheet: Advanced NLP in Python March 12th, 2019 spaCy is a popular Natural Language Processing library with a concise API. This cheat sheet shows you how to load models, process text, and access linguistic annotations, all with a few handy objects and functions.

Overview Sheet

  • Beginner’s Python Cheat Sheet
    • Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, and more.

Python Basics

Python cheat sheets pdfPython
  • Beginner’s Python Cheat Sheet - Lists
    • Focuses on lists: how to build and modify a list, access elements from a list, and loop through the values in a list. Also covers numerical lists, list comprehensions, tuples, and more.
  • Beginner’s Python Cheat Sheet - Dictionaries
    • Focuses on dictionaries: how to build and modify a dictionary, access the information in a dictionary, and loop through dictionaries in a variety of ways. Includes sections on nesting lists and dictionaries, using dictionary comprehensions, and more.
  • Beginner’s Python Cheat Sheet - If Statements and While Loops
    • Focuses on if statements and while loops: how to write conditional tests with strings and numerical data, how to write simple and complex if statements, and how to accept user input. Also covers a variety of approaches to using while loops.
  • Beginner’s Python Cheat Sheet - Functions
    • Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more
  • Beginner’s Python Cheat Sheet - Classes
    • Focuses on classes: how to define and use a class. Covers attributes and methods, inheritance and importing, and more.
  • Beginner’s Python Cheat Sheet - Files and Exceptions
    • Focuses on working with files, and using exceptions to handle errors that might arise as your programs run. Covers reading and writing to files, try-except-else blocks, and storing data using the json module.
  • Beginner’s Python Cheat Sheet - Testing Your Code
    • Focuses on unit tests and test cases. How to test a function, and how to test a class.

Project-Focused Sheets

  • Beginner’s Python Cheat Sheet - Pygame
    • Focuses on creating games with Pygame. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text
  • Beginner’s Python Cheat Sheet - Matplotlib
    • Focuses on creating visualizations with Matplotlib. Making line graphs and scatter plots, customizing plots, making multiple plots, and working with time-based data.
  • Beginner’s Python Cheat Sheet - Plotly
    • Focuses on creating visualizations with Plotly. Making line graphs, scatter plots, and bar graphs, styling plots, making multiple plots, and working with geographical datasets.
  • Beginner’s Python Cheat Sheet - Django
    • Focuses on creating web apps with Django. Installing Django and starting a project, working with models, building a home page, using templates, using data, and making user accounts.

If you find any errors, please feel free to get in touch:

Email: ehmatthes@gmail.com

Python Cheat Sheet Mosh

Twitter: @ehmatthes

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Python Cheat Sheet Git

Cheat sheets can be really helpful when you’re trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well. You can click here and download all of the original cheat sheets in a single document.

An updated version of these sheets is also available through Leanpub and Gumroad. The updated version includes a sheet that focuses on Git basics, a printer-friendly b&w version of each sheet, and each sheet as a separate document. The updated versions are available at no cost on both platforms.

Individual Sheet Descriptions

  • Beginner’s Python Cheat Sheet
    • Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, and more.
  • Beginner’s Python Cheat Sheet - Lists
    • Focuses on lists: how to build and modify a list, access elements from a list, and loop through the values in a list. Also covers numerical lists, list comprehensions, tuples, and more.
  • Beginner’s Python Cheat Sheet - Dictionaries
    • Focuses on dictionaries: how to build and modify a dictionary, access the information in a dictionary, and loop through dictionaries in a variety of ways. Includes sections on nesting lists and dictionaries, using an OrderedDict and more.
  • Beginner’s Python Cheat Sheet - If Statements and While Loops
    • Focuses on if statements and while loops: how to write conditional tests with strings and numerical data, how to write simple and complex if statements, and how to accept user input. Also covers a variety of approaches to using while loops.
  • Beginner’s Python Cheat Sheet - Functions
    • Focuses on functions: how to define a function and how to pass information to a function. Covers positional and keyword arguments, return values, passing lists, using modules, and more.
  • Beginner’s Python Cheat Sheet - Classes
    • Focuses on classes: how to define and use a class. Covers attributes and methods, inheritance and importing, and more.
  • Beginner’s Python Cheat Sheet - Files and Exceptions
    • Focuses on working with files, and using exceptions to handle errors that might arise as your programs run. Covers reading and writing to files, try-except-else blocks, and storing data using the json module.
  • Beginner’s Python Cheat Sheet - Testing Your Code
    • Focuses on unit tests and test cases. How to test a function, and how to test a class.
  • Beginner’s Python Cheat Sheet - Pygame
    • Focuses on creating games with Pygame. Creating a game window, rect objects, images, responding to keyboard and mouse input, groups, detecting collisions between game elements, and rendering text.
  • Beginner’s Python Cheat Sheet - matplotlib
    • Focuses on creating visualizations with matplotlib. Making line graphs and scatter plots, customizing plots, making multiple plots, and working with time-based data.
  • Beginner’s Python Cheat Sheet - Pygal
    • Focuses on creating visualizations with Pygal. Making line graphs, scatter plots, and bar graphs, styling plots, making multiple plots, and working with global datasets.
  • Beginner’s Python Cheat Sheet - Django
    • Focuses on creating web apps with Django. Installing Django and starting a project, working with models, building a home page, using templates, using data, and making user accounts.

Python

Available from No Starch Press and Amazon.