Hướng dẫn intermediate python cheat sheet

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!

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• PDF Version of Python Cheat Sheet
• Infographic Version of Python Cheat Sheet (PNG)
• Python Basics: Getting Started
• What is IDLE (Integrated Development and Learning)?
• Main Python Data Types
• How to Create a String in Python
• Math Operators
• How to Store Strings in Variables
• Built-in Functions in Python
• How to Define a Function
• List Comprehensions
• Dictionaries
• If Statements (Conditional Statements) in Python
• Python Loops
• Dealing with Python Exceptions (Errors)
• How to Troubleshoot The Errors
• Cheat sheets for beginners and advanced Python developers
• What is a Cheatsheet?
• Have a Look at the Top Python Cheatsheets
• 1. Pythoncheatsheet.org
• 2. Website Setup
• 3. Programming With Mosh
• 4. Python for Data Science
• 5. Real Python
• 6. Cheatography
• 8. Python Crash Course
• 9. Python For Data Science (Bokeh)
• 10. Basic and Intermediate Cheat Sheet for Data Science
• Want to Connect With the Author?
• Are there cheat sheets to learn Python?
• What are the Python commands?
• How do you code in Python?
• What is a syntax Python?

• Python is open-source and has a great support community,
• Plus, extensive support libraries.
• Its data structures are user-friendly.

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!

PDF Version of Python Cheat Sheet

Python Cheat Sheet (Download PDF)

Infographic Version of Python Cheat Sheet (PNG)

Python Cheat Sheet (Download 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!

Cheat sheets for beginners and advanced Python developers

With the great IT revolution and especially with the emergence of data science in recent years, the importance of Python has increased manifold since it has become the primary language in data science and development.

Python is the ultimate language for developers since it is unique, flexible, has a very simplified syntax, and has a robust community.

It is a very practical language, as it supports cross-platform operating systems which makes data science and development way more convenient.

Some of the globally known applications such as BitTorrent, DropBox, and YouTube use Python to achieve their functionality, and the number of applications using Python is only increasing.

What is a Cheatsheet?

While we have discussed the rising importance of Python, what is even more critical to understand here is that, while you can understand the language and its concept, it is impossible to remember everything about it.

Even the most experienced developers can easily forget how to slice a list, make various character classes for a regex, or create a loop.

It is where Python cheat sheets come into play. They help you get to the conclusion without worrying much about unnecessary details, as they make it straightforward for you that you don’t need to remember everything about the language.

These cheat sheets provide you with bare references for beginners and advanced developers, along with lowering the entry barrier for newcomers and helping veterans refresh their old Python tricks.

Have a Look at the Top Python Cheatsheets

Now that we have discussed what a Python cheat sheet is and how they are a critical help for developers, we would list some of the top Python cheat sheets used by developers all across the globe.

Every cheat sheet comes with its benefits and certain drawbacks, but the cheat sheets ranked here are some of the most popular and widely used Python cheat sheets that can help you up to your Python game like nothing else.

1. Pythoncheatsheet.org

Pythoncheatsheet.org is, without a doubt, an all-inclusive Python cheat sheet that has been the first in the ranking for Python cheatsheets for many years.

It not only covers Python basics but offers extensive support for exception handling and virtual environments.

Furthermore, Pythoncheatsheet.org covers functions, data structures, lists, JSON, flow control, sets, loops, debugging, YAML, data classes, context manager, and a lot more.

Since it covers almost everything about Python, it is a complete cheat sheet for both beginner and experienced developers. On top of it, it has a strong community and offers continuous updates to cover all the bugs and include new functions.

2. Website Setup

Website Setup is another excellent Python cheat sheet that closely follows Pythoncheatsheet.org in terms of ranking.

It is an extensive cheat sheet that covers all primary and secondary concepts for Python and also allows creating strings and troubleshooting errors.

The primary and intermediate concepts that website setup covers of Python are defining functions, lists, data types, loops, dealing with exceptions, math operators, tuples, conditional statements, dictionaries, etc.

3. Programming With Mosh

This cheat sheet is named after its founder — a famous software engineer who runs a YouTube Channel with the same name. He also offers a Python 3 cheat sheet that covers various topics regarding Python 3.

In the cheat sheet that Mosh Hamedani offers, we can see that almost all the basics of Python have been covered, just like they are in Pythoncheatsheet.org.

However, there is a lot more to this sheet as compared to the aforementioned cheat sheets.

In the cheat sheet, we can find topics like arithmetic operations, operators, receiving inputs, packages, standard libraries, if statements, Pypi, inheritance, and a lot more.

It is essential to know that the topics we have mentioned here are hardly ever covered in other Python cheat sheets.

4. Python for Data Science

This Python cheat sheet is specially designed for data science’s purposes, unlike the previous ones intended for development.

However, it doesn’t mean that it only covers data science, as it covers almost all the basics of Python, which is equally helpful for developers.

It is a one-page cheat sheet that aims to provide quick answers to data types and conversions, lists, operations, libraries, NumPy arrays, methods, variables and calculations, strings and functions methods, and helping you in installing Python.

5. Real Python

Real Python is another extensive yet straightforward Python cheat sheet that can help developers in their Python-related tasks. It not only covers the basics of Python, but it does so well with syntax and practical examples.

Apart from the primary topics that it covers, Real Python deals with strings, Booleans, numbers, functions, control statements, and loops.

Furthermore, since it covers numbers, it is also constructive for data scientists. To make it more friendly for data-scientists, Real Python also covers tuples, advanced list comprehensions, numerical lists, and almost everything that a data scientist working with Python could ask for.

6. Cheatography

Unlike some of the other cheat sheets we have covered before, Cheatography is a 2-page cheat sheet that can help you find quick solutions for your Python projects.

It primarily covers Python sys topics like Python sys variables sys.argv, file methods, list methods, Date Time methods, Python os variables, Python indexes & slices, unique methods, string methods, etc.

Cheatography for Python includes both operating system and built-in system variables, on top of standard methods for working with strings, lists, files, and a lot more. You can easily download cheatography for free in PNG or PDF version or simply view it online.

7. gto76

It is a very extensive Python cheat sheet offered by GitHub that should be your go-to cheat sheet when you are on a Python project. GitHub has ensured that it is a complete guide for developers and data scientists and that it is equally helpful for beginners and experts.

Gto76 covers Python topics from range, enumerates, dictionaries, generator, covers lists, iterator, and tuple. Furthermore, it is also a complete cheat sheet for issues like data types, logging, scraping, NumPy, games, data, image, introspection, metaprogramming, operators, audio, threading, etc.

8. Python Crash Course

Python crash course is another practical and multi-paged Python cheat sheet designed to help beginners but can also prove helpful for professional and expert developers.

It primarily focuses on Python lists, i.e., how to build and modify a list, access elements from a list, and loop through the values in a given list.

Furthermore, it also covers numerical lists, advanced list comprehensions, tuples, and almost everything else about lists.

However, the Python crash course is not just a cheat sheet for lists, as it also touches on essential topics like variables, classes, dictionaries, functions, etc. If you are a beginner in Python, this is your perfect cheat sheet to help you move to the next level in Python.

9. Python For Data Science (Bokeh)

It is a handy cheat sheet for interactive plotting and statistical charts with Bokeh, specially designed for data scientists.

Bokeh has always distinguished itself from many other Python visualization libraries such as Seaborn or/and Matplotlib in a way that is a very interactive visualization library that is perfectly designed for beginners and advanced data scientists who want to quickly and easily create data interactive plots, dashboards, and other data applications.

Bokeh cheat is designed to make you familiar with how data can be prepared, how you can create a new plot, and how you can add renderers for your data with a variety of custom visualizations, how you want to output your plot and show/save it.

While the basic part of this cheat sheet deals with all the basic concepts that we have read in other cheat sheets, the intermediate portion of this cheat sheet by DATAQUEST is designed for expert developers.

Its intermediate part assumes that you have all the basic knowledge of Python, and you won’t be able to make the most of it unless you understand the basics perfectly.

This cheat sheet will help you deal with range, lists, logging, scraping, NumPy, iterator, tuple, data types, etc. However, if you don’t understand these topics at an advanced level, you should consult with the basic part of this cheat sheet, and only then you would be able to use the intermediate cheat sheet.

Conclusion

We have covered almost all the necessary cheat sheets that you need to know for beginners and advanced levels. While most developers have trouble remembering everything about Python, other developers can remember it, but again, it ends up making the process of development very time-consuming.

Python cheat sheets are helpful for both types mentioned above of developers and data scientists, as it offers quick Python solutions without worrying about remembering every bit of Python.

“The joy of coding Python should be in seeing short, concise, readable classes that express a lot of action in a small amount of clear code — not in reams of trivial code that bores the reader to death.”

— Guido van Rossum

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