Alexis Kestler
Python is one of the most popular and widely used programming languages today. With its simple syntax, rich ecosystem of libraries and frameworks, and versatility across domains, Python has become the language of choice for data science, web development, system administration, and more.
However, like any programming language, Python has a learning curve. There are many concepts, functions, methods, and syntax rules that need to be memorized. This is where Python cheat sheets come in handy.
Python cheat sheets are quick references that summarize key information about the language in a concise, easy-to-scan format. They serve as a handy guide for beginners and experienced programmers alike when they need to look up syntax, review concepts, or jog their memory.
In this article, we have curated some of the best Python cheat sheets available online. Whether you are looking for a broad overview of the language or want to drill down into specific topics like data science, web frameworks, or system administration tasks, there is a Python cheat sheet here for you.
1. Python Cheat Sheet by PythonSheet
PythonSheet offers an excellent 2-page Python cheat sheet that covers a wide breadth of Python topics. It‘s formatted in an easy-to-scan 2-column layout with concepts on the left and concise code snippets on the right.
The cheat sheet kicks off with Python basics like print statements, data types, variables, boolean expressions, control flow statements, and string manipulation. It then covers more intermediate and advanced topics like list comprehensions, decorators, lambdas, handling files and exceptions, regular expressions, and Object Oriented Programming.
The bottom half of the cheat sheet is devoted to Python specific tools and libraries like virtualenv, matplotlib, pandas, NumPy, and SciPy. This makes it a great quick reference guide for Python programmers of all levels.
2. Python Crash Course Cheat Sheet by Google
For Python beginners, Google‘s Python Crash Course cheat sheet is a handy reference for learning basic syntax and concepts. It packs a lot of core information into just 2 pages.
The first page covers Python variables and data types, lists and tuples, sets and dictionaries, boolean expressions, if/else statements, for and while loops, break and continue statements, handling errors and exceptions, functions, classes, inheritance, and modules.
The second page focuses on string manipulation, regular expressions, datetime, math & random modules, input/output basics, reading and writing files, subprocess, multi-threading, andsome examples of commonly used functions and libraries like os, sys, csv, json, re, math, argparse, logging, and itertools.
Overall this cheat sheet from Google hits all the highlights of Python that a beginner needs to know.
3. Data Science Python Cheat Sheet by DataCamp
DataCamp‘s Data Science Python Cheat Sheet focuses specifically on Python for data science and analysis. It summarizes all the essential Python libraries, functions, data types, and concepts commonly used in the data science workflow.
This one-page reference covers:
- Packages for scientific computing like NumPy, SciPy, Pandas, Matplotlib
- Data structures: lists, tuples, dictionaries
- Working with arrays in NumPy
- Data wrangling with Pandas
- Visualizing data with Matplotlib
- Statistical functions
- Manipulating time series
- Basic machine learning using Scikit-Learn
- Connecting Python to SQL databases
Data scientists or analysts who use Python will find immense value in keeping this cheat sheet handy as they work on data projects.
4. Python Cheat Sheet by Dataquest
For another excellent overview of Python basics all the way through to advanced features, check out Dataquest‘s 2-page Python Cheat Sheet.
It starts with the absolute fundamentals like print statement, variables, data types, strings, operators and flows into functions, loops, list comprehensions, iterators and generators, working with files/folders, and object-oriented programming concepts.
The second page includes specialized topics like anonymous functions, matplotlib for data visualization, NumPy, SciPy, TensorFlow for machine learning, web scraping with Beautiful Soup, connecting to databases, pandas, requests module, and regex.
This cheat sheet mirrors the content of Dataquest‘s interactive Python courses for data science and development. Both beginners and intermediate Python users will find value in referencing this sheet.
5. Python 3 Cheat Sheet by Perso
For a condensed 1-page overview of Python 3 basics all the way through intermediate level concepts, Perso‘s Python 3 Cheat Sheet is handy.
It covers:
- Print and import statements
- Data types: numbers, strings, booleans, lists, tuples, sets, dicts
- Operators: arithmetic, comparison, logical, identity, membership
- Control flow: if, for, while, try/except
- Functions: declarations, lambda, map/filter/reduce
- Comprehensions: list, dict, set
- Decorators
- Classes: declarations, inheritance
- Modules: importing, namespaces
- Input/output: open(), close(), read(), write()
This sheet manages to cram a lot of info into a concise one-page layout. Experienced Python developers will find value in keeping this reference handy. Beginners may want to supplement it with other more descriptive cheat sheets.
6. Python Cheat Sheet by Programming with Mosh
Mosh Hamedani of Programming with Mosh has an excellent Python Cheat Sheet that summarizes Python concepts for beginners through intermediate developers.
The first page covers:
- Print statement
- Data types
- Variables
- Receiving input
- Strings
- Arithmetic operations
- Comparison operators
- Logical operators
- Conditional statements
The second page includes:
- Lists
- Tuples
- Dictionaries
- Loops
- Functions
- Classes and objects
- Modules
- Exceptions
- File I/O
- JSON
Mosh explains each concept thoroughly with easy-to-follow examples in his Python tutorial video series on YouTube. Referencing this cheat sheet will reinforce what you learn in his video tutorials.
7. Python Cheat Sheet for Beginners by DataCamp
DataCamp also has this condensed one-page Python Cheat Sheet for Beginners that focuses on universal Python basics. It‘s a great reference to reinforce fundamental concepts.
It summarizes:
- Print statement
- Data types
- Variables
- Strings
- Lists
- Tuples
- Dictionaries
- Comparison operators
- Conditional execution with If, Else, Elif
- Loops
- Functions
- Modules
- Classes and objects
The structured layout and beginner focus make this an excellent cheat sheet for someone just getting started with Python.
8. Complete Python Cheat Sheet by Guru99
For a very comprehensive overview of Python from beginner to advanced concepts all in one place, check out Guru99‘s Complete Python Cheat Sheet.
This jam-packed 6-page cheat sheet covers:
- Environment setup
- Syntax, variables, data types, numbers, strings
- Operators, expressions
- Flow control with if, for, while
- Functions
- Exception handling
- Lists, tuples, sets, dictionaries
- List, tuple, set, dict comprehensions
- Modules and packages
- File I/O operations
- OS modules and operations
- Math module
-Datetime module - Regular Expressions
- Debugging
- Object Oriented Programming
- Inheritance, polymorphism
- Web scraping with BeautifulSoup
- Multi-threading
- XML parsing
- MySQL using Python
- Networking
With 6 pages of content, this cheat sheet may be information overload as a quick reference, but it does work well as a broad overview of Python if read through systematically. The structured headings and sections make it easy to scan through and find what you need.
9. Python Cheat Sheet by WebsiteSetup
WebsiteSetup‘s Python Cheat Sheet offers another excellent reference that summarizes Python from start to finish. It‘s formatted as a single-page PDF.
The content includes:
- Comments
- Data types
- Variables
- Strings and string methods
- Type conversion/casting
- Math operators
- Lists and list methods
- Tuples
- Sets and set methods
- Dictionaries and dict methods
- Comparison operators
- Conditional statements
- Loops
- Functions
- Classes and objects
- Exceptions
- File handling
- Useful modules: OS, sys, datetime, math, random
The clean organization and breadth of topics covered make this cheat sheet super valuable for both learning and referencing Python concepts.
10. Python Cheat Sheet by Basics of Python
For one more quality Python cheat sheet that covers all key concepts, check out Basics of Python‘s Python Cheat Sheet.
It summarizes:
- Setup and environment
- Syntax
- Data types
- Variables
- Operators
- Decision making and loops
- Numbers, strings, lists, tuples, dicts
- Functions
- Modules
- File handling
- Exception handling
- Classes and objects
- Databases
- SciPy, NumPy, Pandas
The content strikes a good balance between depth and brevity. Experienced Pythonistas can use it as a handy quick reference guide. Beginners may want to use it alongside other learning resources for the best understanding.
Python cheat sheets are invaluable resources for both beginning Python learners and experienced developers. Having a quick reference that summarizes Python syntax, built-in functions, methods, common usages, and key libraries can save tremendous time.
The cheat sheets we‘ve covered above range from 1-page quick references to more comprehensive 6-page guides. Choose the ones that best fit your experience level and needs.
Keep these cheat sheets bookmarked for easy access anytime you need to look up Python concepts, patterns, or syntax. They‘ll help accelerate your learning and improve productivity on Python projects.
