🐍
My Docs
PYTHONNOTES
PYTHONNOTES
  • Home
  • Downloads & Misc-Assets
  • README
  • Navigation
  • Curriculum
    • Outline
      • General Content
      • Python-Data-Structures-Unit
    • wk17
      • Outline-w17
      • homework
      • D1-Module 01 - Python I
        • Configuring Ubuntu for Python Web Development
        • Install Python
      • D2- Module 02 - Python II
      • D3- Module 03 - Python III
      • D4-Module 04 - Python IV
    • wk18
      • Outline-W-18
      • D1- Module 01 - Number Bases and Character Encoding
      • D2- Module 02 - Hash Tables I
        • Hash Table / Hash Map In Python:
        • Hash Table Use Cases
        • Practice
      • D3-Module 03 - Hash Tables II
      • D4- Module 04 - Searching and Recursion
    • wk19
      • Outline-W-19
      • D1- Module 01 - Linked Lists
        • Homework
          • Helpful Resource
      • D2- Module 02 - Queues and Stacks
      • D3- Module 03 - Binary Search Trees
        • BST Definition:
      • D4- Module 04 - Tree Traversal
        • Tree Traversals (Inorder, Preorder and Postorder)
    • wk20
      • Outline-W-20
      • D1-Graphs I
      • D2-Graphs 2
      • DFS
      • D4
  • Utilities
    • Utilites
      • Python Libraries
      • YouTube
      • Code Lab Notebook Embeds From Lecture
    • Code lab Notebooks
    • Repl.IT
      • Trinket
  • Abstract Data Structures
    • Algorithms
      • Algo-Resources
        • List-Of-Solutions-To-Common-Interview-Questions
      • Dijkstra's algorithm
      • Calculate a Factorial With Python - Iterative and Recursive
      • DFS
      • BFS
        • BFS Examples
      • Palendrome
    • Data Structures Overview
      • General Data Structures Notes
        • DS-Explained-Simple
      • Untitled
      • Algorithms
      • Dictionary
    • Abstract Data Structures:
      • Array
        • Extra-Array
        • Array Practice
      • Binary Search
      • Binary Tree
        • Binary Tree Explained
        • Find the maximum path sum between two leaves of a binary tree
      • Binary Search Tree
        • BST Explained
        • BST Insert
        • BST-Largest-Sub-Tree
      • Exotic
        • Tire
        • Dynamic Programming
      • Graphs
        • Overflow Practice Problems
        • Graphs Explained
        • Earliest Ancestor
        • _Mini Graph-Projects
          • # Social Graph
          • number of 1 islands
          • Searching and Generating Graphs
        • Graph FAQ
          • Graph DFS
        • Connected Components
        • Randomness
        • Graph BFS
        • Topological Sort
      • Hash Table
        • Hashmap or Hash tables
        • Hash Table and HashMap in Python
      • Heap
        • Heap Examples
      • String
      • Map
        • Examples
      • Queue
        • Queue Continued...
        • Queue Sandbox
        • Dequeue
      • Tree
        • In Order Traversal
        • Tree Equal ?
        • Ternary-search-trees
        • Red_Black Tree
        • Tree Mirror:
        • Tree Traversal
      • Recursion
        • Recursion Explained
          • Recursion Examples
      • Linked List
        • Linked List Background
        • Double Linked List
        • List Example
        • Examples (LL) continued
        • List Operations
      • Set
        • Set
        • Set Intersection Union
        • Disjoint Set
      • Sorting
        • In JavaScript
        • Merge Sort
        • Iterative Sorting
        • Recursive Sorting
        • Graph Topological Sort
        • SelectionSort
        • Quick Sort
        • Merge Sort
        • Insertion Sort
      • Stack
        • Stack Continued
        • Stack Part 3
      • Searching
        • Binary Search
        • Searching & Sorting Computational Complexity (JS)
  • practice
    • GCA Sprint Prep:
      • Practice Problems
      • Code Signal CGA Sprint Resources
      • CGA-Sprint Prep
    • Supplemental Practice:
      • Practice
      • JavaScript Algorithms
      • Industry Standard Algorithms
        • Interview Practice Resources
        • Write a Program to Find the Maximum Depth or Height of a Tree
      • Random Examples
      • Prompts
      • JS_BASICS
  • Resources
    • Python Cheat Sheet
      • Cheatsheet-v2
      • List Of Python Cheat Sheets
    • Youtube
    • PDF Downloads
    • Intro 2 Python
    • Dictionaries
      • Dictionaries Continued
    • Python VS JavaScript
    • Misc. Resources
    • Things To Internalize:
      • Functions
    • Intro To Python w Jupyter Notebooks
    • Calculating Big O
    • Useful Links
      • Awesome Python
      • My-Links
      • Beginners Guide To Python
  • Docs
    • Docs
      • Strings
        • Strings Continued
      • Touple
      • Values Expressions & Statments
      • Dictionaries, sets, files, and modules
        • Modules
      • Built-in Types
      • Built In Functions
        • Zip Function
      • Functions
      • Classes and objects
        • Inheritance
        • Classes
          • Python Objects & Classes
          • index
      • Dictionaries
      • Conditionals and loops
      • Lists
        • Reverse A List
        • Python Data Structures
        • More On Lists
        • Examples
          • More-Examples
        • List Compehensions
      • Basic Syntax
      • String-Methods
    • Queue & Stacks
  • quick-reference
    • My Medium Articles
    • Free Python Books
    • WHY Python?
    • Debugging
    • Python Snippets
    • Python3 Regex
    • Python Module Index:
      • Requests Module
    • Creating Python Modules
    • Useful Info
    • Python Glossary
    • Python Snippets
  • MISC
    • Built-in Methods & Functions
    • Data Structures Types
    • Math
    • Unsorted Examples
    • Outline
    • About Python
      • Python VS JavaScript
      • Python Modules & Python Packages
      • Misc
      • Python's Default Argument Values and Lists
      • SCRAP
  • Interview Prep
    • Interview Resources
      • By Example
        • Algo-Prep
      • Permutation
      • How to Write an Effective Resume of Python Developer
      • Interview Checklist
      • 150 Practice Problems & Solutions
  • Installations Setup & Env
    • python-setup
    • Installing Python Modules
    • Set Up Virtual Enviornment
  • Aux-Exploration
    • Related Studies
      • Self-Organizing Maps: Theory and Implementation in Python with NumPy
      • List Directory Contents
      • Employee Manager
      • OS Module
      • server-side-scripting
      • Web Scraping
      • Reading and Writing to text files in Python
      • General Data Structures
      • Touple
      • How to round Python values to whole numbers?
      • Python Array Module
      • Data Structures In JavaScript
      • Dunder Methods
      • Python GitHub API
      • JS-Event Loop
      • JavaScript Event Loop
      • Manipulating Files & Folders
  • experiments
    • Untitled
Powered by GitBook
On this page
  1. Resources
  2. Python Cheat Sheet

List Of Python Cheat Sheets

PreviousCheatsheet-v2NextYoutube

Last updated 3 years ago

****

Table of Contents

Best Python Cheat Sheets

So let’s dive into the best Python cheat sheets recommended by us.

This is the best single cheat sheet. It uses every inch of the page to deliver value and covers everything you need to know to go from beginner to intermediate. Topics covered include container types, conversions, modules, maths, conditionals and formatting to name a few. A highly recommended 2-page sheet!

Some might think this cheat sheet is a bit lengthy. At 26 pages, it is the most comprehensive cheat sheets out there. It explains variables, data structures, exceptions, and classes – to name just a few. If you want the most thorough cheat sheet, pick this one.

This Python data science cheat sheet from DataCamp is all about getting data into your code. Think about it: importing data is one of the most important tasks when working with data. Increasing your skills in this area will make you a better data scientist—and a better coder overall!

This cheat sheet is for more advanced learners. It covers class, string and list methods as well as system calls from the sys module. Once you’re comfortable defining basic classes and command line interfaces (CLIs), get this cheat sheet. It will take you to another level.

Want to learn Python well, but don’t have much time? Then this course is for you. It contains 5 carefully designed PDF cheat sheets. Each cheat sheet takes you one step further into the rabbit hole. You will learn practical Python concepts from the hand-picked examples and code snippets. The topics include basic keywords, simple and complex data types, crucial string and list methods, and powerful Python one-liners. If you lead a busy life and do not want to compromise on quality, this is the cheat sheet course for you!

The wonderful team at Dataquest have put together this comprehensive beginners cheat sheet. It covers all the basic data types, looping and reading files. It’s beautifully designed and is the first of a series.

This intermediate-level cheat sheet is a follow-up of the other Dataquest cheat sheet. It contains intermediate dtype methods, looping and handling errors.

This cheat sheet is the most concise Python cheat sheet in the world. It contains keywords, basic data structures, and complex data structures—all in a single 1-page PDF file. If you’re lazy, this cheat sheet is a must!

If you love cheat sheets, here are some interesting references for you (lots of more PDF downloads):

Some of the most popular things to do with Python are . In this cheat sheet, you will learn the basics of Python and the most important scientific library: (Numerical Python). You’ll learn the basics plus the most important NumPy functions. If you are using Python for Data Science, download this cheat sheet.

is at the heart of data science. Advanced libraries like scikit-learn, Tensorflow, Pandas, and Matplotlib all built on NumPy arrays. You need to understand NumPy before you can thrive in data science and machine learning. The topics of this cheat sheet are creating arrays, combining arrays, scalar math, vector math and statistics.

This is only one great NumPy cheat sheet—if you want to get more, !

Want to master the visualization library ? This cheat sheet is for you! It contains all the basic Bokeh commands to get your beautiful visualizations going fast!

is everywhere. If you want to master “the Excel library for Python coders”, why not start with this cheat sheet? It’ll get you started fast and introduces the most important Pandas functions to you.

Regex to the rescue! are wildly important for anyone who handles large amounts of text programmatically (ask Google). This cheat sheet introduces the most important Regex commands for quick reference. Download & master these regular expressions!

(1) Python 3 Cheat Sheet
(2) Python Beginner Cheat Sheet
(3) Python for Data Science
Data Science and Machine Learning
NumPy
(4) Python for Data Science (Importing Data)
(5) Python Cheatography Cheat Sheet
(6) The Ultimative Python Cheat Sheet Course (5x Email Series)
(7) Dataquest Data Science Cheat Sheet – Python Basics
(
8
) Dataquest Data Science Cheat Sheet – Intermediate
(9) Dataquest NumPy
NumPy
check out our article on the 10 best NumPy cheat sheets
(10) Python For Data Science (Bokeh)
Bokeh
(11) Pandas Cheat Sheet for Data Science
Pandas
You can find a best-of article about the
7
best Pandas Cheat Sheets here.
(12) Regular Expressions Cheat Sheet
Regular expressions
(13) The World’s Most Concise Python Cheat Sheet
https://gist.github.com/bgoonz/dd7fd80df384fba134b42f256298bdb4#file-python-cheatsheet-py
https://gist.github.com/bgoonz/ec383b0bafc8e43db23f922002fc88d4
Best Python Cheat Sheets
(1) Python 3 Cheat Sheet
(2) Python Beginner Cheat Sheet
(3) Python for Data Science
(4) Python for Data Science (Importing Data)
(5) Python Cheatography Cheat Sheet
(6) The Ultimative Python Cheat Sheet Course (5x Email Series)
(7) Dataquest Data Science Cheat Sheet – Python Basics
(8) Dataquest Data Science Cheat Sheet – Intermediate
(9) Dataquest NumPy
(10) Python For Data Science (Bokeh)
(11) Pandas Cheat Sheet for Data Science
(12) Regular Expressions Cheat Sheet
(13) The World’s Most Concise Python Cheat Sheet
What Cheat Sheets are NOT a Replacement For
Cheat Sheet Alternatives
Flashcards
Personalised Cheat Sheets
Projects
Summary
Related Posts
https://s3.amazonaws.com/assets.datacamp.com/blog:assets/Python:Bokeh:Cheat:Sheet.pdfs3.amazonaws.com
1KB
ipynb-cheatsheets.zip
archive
jupyter notebook cheatsheet download
Python Ultimate Cheat Sheet