This cheat sheet is for beginners in the Python programming language. It explains everything you need to know about Python keywords. Download and pin it to your wall until you feel confident using all these keywords!
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Data values from the Boolean data type
False == (1 > 2) True == (2 > 1)
and, or, not
- (x and y) → both x and y must be True
- (x or y) → either x or y must be True
- (not x) → x must be false
x, y = True, False (x or y) == True # True (x and y) == False # True (not y) == True # True
Ends loop prematurely
while(True): break # no infinite loop print("hello world")
Finishes current loop iteration
while(True): continue print("43") # dead code
Defines a new class → a real-world concept
(object oriented programming)
class Beer: def __init__(self): self.content = 1.0 def drink(self): self.content = 0.0 becks = Beer() # constructor - create class becks.drink() # beer empty: b.content == 0
Defines a new function or class method. For latter, first parameter (“self”) points to the class object. When calling class method, first parameter is implicit.
See previous code example.
if, elif, else
Conditional program execution: program starts with “if” branch, tries the “elif” branches, and finishes with “else” branch (until one branch evaluates to True).
x = int(input("your value: ")) if x > 3: print("Big") elif x == 3: print("Medium") else: print("Small")
Repeated execution of loop body.
# For loop declaration for i in [0,1,2]: print(i) # While loop - same semantics j = 0 while j < 3: print(j) j = j + 1
Checks whether element is in sequence
42 in [2, 39, 42] # True
Checks whether both elements point to the same object
y = x = 3 x is y # True  is  # False
Empty value constant
def f(): x = 2 f() is None # True
Function with no name (anonymous function)
(lambda x: x + 3)(3) # returns 6
Terminates execution of the function and passes the flow of execution to the caller. An optional value after the return keyword specifies the function result.
def incrementor(x): return x + 1 incrementor(4) # returns 5
Put yourself on the road to mastery and download your free Python cheat sheets now, print them, and post them to your office wall!
Want more cheat sheets and free Python education? Register for the free Finxter email academy. In the following, I’ll present you a compilation of the best Python cheat sheets on the web. So, keep reading!
Best Python Cheat Sheets
But these are not all—there are many Python cheat sheets that will greatly improve your learning efficiency! Check out this compilation of the 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.
Some of the most popular things to do with Python are Data Science and Machine Learning. In this cheat sheet, you will learn the basics of Python and the most important scientific library: NumPy (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.
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.
NumPy 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, check out our article on the 10 best NumPy cheat sheets!
Want to master the visualization library Bokeh? This cheat sheet is for you! It contains all the basic Bokeh commands to get your beautiful visualizations going fast!
Pandas 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! Regular expressions 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!
If you love cheat sheets, here are some interesting references for you (lots of more PDF downloads):
- [Collection] 11 Python Cheat Sheets Every Python Coder Must Own
- [Python OOP Cheat Sheet] A Simple Overview of Object-Oriented Programming
- [Collection] 15 Mind-Blowing Machine Learning Cheat Sheets to Pin to Your Toilet Wall
- Your 8+ Free Python Cheat Sheet [Course]
- Python Beginner Cheat Sheet: 19 Keywords Every Coder Must Know
- Python Functions and Tricks Cheat Sheet
- Python Cheat Sheet: 14 Interview Questions
- Beautiful Pandas Cheat Sheets
- 10 Best NumPy Cheat Sheets
- Python List Methods Cheat Sheet [Instant PDF Download]
- [Cheat Sheet] 6 Pillar Machine Learning Algorithms
Where to Go From Here?
Enough theory, let’s get some practice!
To become successful in coding, you need to get out there and solve real problems for real people. That’s how you can become a six-figure earner easily. And that’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?
Practice projects is how you sharpen your saw in coding!
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Then become a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.
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