Python is a unique programming language with a streamlined syntax. Python is utilised by numerous well-known applications, such as YouTube and BitTorrent, to achieve a variety of operations and seamless functionality. However, it is only possible to recall some of Python's syntax even if you are an expert programmer. The Python cheat sheet will be helpful in this situation.

Python is a flexible, user-friendly, and simple-to-debug programming language with several libraries and frameworks. In addition, python is an easy-to-use programming language ideal for novice programmers. To reduce misunderstanding and make learning Python programming as simple as possible, we have compiled a selection of the most useful cheat sheets.

Pythoncheatsheet.org

The extensive Python cheat sheet at Pythoncheatsheet.org includes information on 

• Python basics, 
• functions, 
• flow control, 
• handling of exceptions, 
• data structures, 
• lists, 
• sets, 
• loops, 
• debugging, 
• YAML, 
• JSON, 
• configuration files, 
• data classes, 
• context manager, 
• virtual environments, and other topics.

Programming With Mosh

Like Pythoncheatsheet.org, Mosh Hamedani's cheat sheet covers most of Python's fundamentals. However, this document contains more information than the previously described cheat sheets.

The cheat sheet contains numerous subjects, including arithmetic operations, operators, receiving inputs, packages, standard libraries, if statements, Pypi, and inheritance. In addition, it is crucial to note that the themes we have discussed are rarely covered in other Python cheat sheets.

Website Setup

Website Setup is the second outstanding Python reference document that ranks closely behind Pythoncheatsheet.org. It is a comprehensive cheat sheet that covers all fundamental and secondary Python concepts, string creation and error resolution. Furthermore, Python's primary and intermediate principles covered by website setup include defining functions, lists, data types, loops, handling exceptions, math operators, tuples, conditional statements, dictionaries, etc.

Gto76

GitHub provides a comprehensive Python cheat sheet that should be your go-to reference when working on a Python project. In addition, GitHub has guaranteed that it is a comprehensive reference for developers and data scientists, useful for both novices and professionals.

The Gto76 course covers Python subjects, including 

• range, 
• enumerates, 
• dictionaries, 
• generators, 
• lists, 
• iterators, and 
• tuple. 

In addition, it contains a comprehensive reference guide for topics such as data types, logging, scraping, NumPy, games, data, images, introspection, metaprogramming, operators, audio, and threading, among others.

Python For Data Science (Bokeh)

It is a data scientist-specific reference guide for interactive plotting and statistical charts using Bokeh. Bokeh has always distinguished itself from many Python visualisation libraries, such as Seaborn or Matplotlib. It is a highly interactive visualisation library ideal for beginners and advanced data scientists who wish to create interactive data plots, dashboards, and other data applications quickly and easily.

Furthermore, Bokeh cheat is intended to familiarise you with how we can prepare data, create a new plot, add renderers for your data with various custom visualisations, and output and show/save your plot.

Cheatography

Cheatography is a two-page cheat sheet that can help you find rapid answers for your Python projects, unlike some of the other cheat sheets we've previously explored. It focuses on Python sys subjects such as: 

• sys.argv, 
• file methods, 
• list methods, 
• Datetime methods, 
• Python os variables, 
• Python indexes and slices, 
• unique methods, 
• string methods, etc.

In addition to standard techniques for working with strings, lists, and files, Cheatography for Python provides access to the operating system and built-in system variables. You may easily download cheatography in PNG or PDF format for free, or you can watch it online.

Ehmatthes.github.io

ehmatthes.github.io includes both syntactic rules and key topics. The document explains lists, dictionaries, loops, if and while statements, functions, classes, code testing, exceptions, files, and Pygame, Plotly, Django, and Matplotlib.