Python is one of the widely used programming languages, especially in data science. With the emergence of technology and data science, Python usage has been increasing rapidly across the globe.
The language is versatile, flexible, easy to debug, comes with extensive libraries and frameworks, and has a strong community, making it an exceptional choice for modern applications. In addition, it is highly readable, uses simple syntax, and is easy to learn compared to other programming languages.
However, you would still need some help while programming as you can’t remember everything even though you understand the concept. And if you go on searching for resources to clear your doubts, it’s time-consuming.
This is where the Python cheat sheet comes into the picture. We have curated some of the best cheat sheets you can refer to while programming and stay clear of every little doubt that may pop up, especially during your beginning years.
So, enjoy checking out these Python cheat sheets and bookmark them on your browser to access them whenever you need them.
Pythoncheatsheet.org: This is a comprehensive Python cheat sheet you can refer to whenever you need help. It covers Python basics, functions, flow control, exception handling, data structures, lists, sets, loops, debugging, YAML, JSON, and configuration files, data classes, context manager, virtual environments, and more.
Perso.limsi.fr: If you want to get a quick look at a reference with Python concepts on a single page, this cheat sheet is for you. This excellent reference covers Python 3 topics from beginner-level to intermediate, including basic concepts, modules, conversions, container types, conditionals, and more.
WebsiteSetup: This Python cheat is available in PDF format and includes all the basic and some intermediate Python concepts. Topics covered are data types, creating a String, math operators, defining functions, lists, tuples, conditional statements, dictionaries, loops, dealing with exceptions, and troubleshooting errors.
DataCamp: This cheat sheet is massively helpful for beginners in Python for data science. It covers data types, variables, strings, lists, Python packages for scientific computing, libraries, Numpy arrays, and more.
Programmingwithmosh.com: Mosh has a famous YouTube channel where you can learn Python for free. He has curated this Python cheat covering the core Python concepts such as strings, variables, receiving inputs, arithmetic operations, operators, if statements, loops, tuples, functions, exceptions, dictionaries, classes, modules, inheritance, packages, standard libraries, Pypi, and more.
Python for Data Science: Again, this is a stellar one-page Python cheat sheet to learn the basics of this programming language, especially useful in data science. You can get a quick sneak peek at data types and conversions, variables and calculations, lists and operations and methods, strings and operations methods, libraries, Numpy arrays, and installing Python.
ehmatthes.github.io: This Python cheat sheet is helpful if you want to try exercises for a specific Python topic or while working on projects. It covers syntax rules and important concepts. You can view single sheets to focus on a single topic at a time and is printer-friendly as well. It covers lists, dictionaries, loops, if and while statements, functions, classes, code testing, exceptions and files, Pygame, Plotly, Django, Matplotlib, and a bonus cheat sheet.
Real Python: Another comprehensive Python cheat sheet you can refer to is from Real Python. They have explained basic Python concepts beautifully with syntax and examples. The topics it covers are primitives like numbers, strings, and Booleans; collections like lists and dictionaries, control statements, loops, and functions.
Cheatography: This is a 2-page Python cheat sheet that you can refer to quickly during your Python project. It covers Python sys variables, sys.argv, special methods, string methods, file methods, list methods, Python os variables, DateTime methods, and Python indexes & slices.
gto76: Access this comprehensive Python cheat sheet from GitHub and refer to it when stuck. The creator has included syntax for every Python concept from beginner to advanced levels. It covers lists, range, enumerates, tuple, dictionaries, generator, and iterator; data types, libraries such as Numpy, Games, Data, Image, Audio, Logging, Scraping, etc., threading, introspection, metaprogramming, operators, and more.
Conclusion
The Python cheat sheets we have covered in this article aim to help you with quick Python concepts from basics to advanced. Save them as bookmarks and refer to them while programming or working on a project. It will save you time and prevent you from getting stuck.
Need to learn properly? Check out these Python courses.
