Python 3 is a truly versatile programming language, loved both by web developers, data scientists, and software engineers. And there are several good reasons for that! Best of all: Once
you get a hang of it, your development speed and productivity will soar! If you want to master two lucrative codings skills at once — server-side website development and machine learning — Python is your best bet. In case you’re interested, we also have complete cheat sheets for Bootstrap, HTML,
CSS, MySQL, and JavaScript. So download a copy of our Python cheat sheet and get that first .py program up and running! Python Cheat Sheet [Download PDF] Python Cheat Sheet [Download PNG]PDF Version of Python Cheat Sheet
Infographic Version of Python Cheat Sheet [PNG]
Python Basics: Getting Started
Most Windows and Mac computers come with Python pre-installed. You can check that via a Command-Line search. If you don’t have a copy, download one.
The particular appeal of Python is that you can write a program in any text editor, save it in .py format and then run via a Command-Line.
But as you learn to write more complex code or venture into data science, you might want to switch to an IDE or IDLE.
What is IDLE [Integrated Development and Learning]?
IDLE [Integrated Development and Learning Environment] comes with every Python installation. Its advantage over other text editors is that it highlights important keywords [e.g. string functions], making it easier for you to interpret code.
Shell is the default mode of operation for Python IDLE. In essence, it’s a simple loop that performs that following four steps:
- Reads the Python statement
- Evaluates the results of it
- Prints the result on the screen
- And then loops back to read the next statement.
Python shell is a great place to test various small code snippets.
Main Python Data Types
Main Python Data Types [Expand]
How to Create a String in Python
How to Create a String in Python [Expand]
Math Operators
Math Operators [Expand]
How to Store Strings in Variables
How to Store Strings in Variables [Expand]
Built-in Functions in Python
Built-in Functions in Python [Expand]
How to Define a Function
How to Define a Function [Expand]
Lists
Lists [Expand]
List Comprehensions
List Comprehensions [Expand]
Tuples
Tuples [Expand]
Dictionaries
Dictionaries [Expand]
If Statements [Conditional Statements] in Python
If Statements [Conditional Statements] in Python [Expand]
Python Loops
Python Loops [Expand]
Class
Class [Expand]
Dealing with Python Exceptions [Errors]
Dealing with Python Exceptions [Errors] [Expand]
How to Troubleshoot The Errors
How to Troubleshoot The Errors [Expand]
Conclusion
Now you know the core Python concepts!
By no means is this Python checklist comprehensive. But it includes all the key data types, functions, and commands you should learn as a beginner.
As always, we welcome your feedback in the comment section below!