Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

License

NotificationsYou must be signed in to change notification settings

Fnyl0826/02_Python_Datatypes

 
 

Repository files navigation

Last CommitLast CommitStars BadgeForks BadgeSizePull Requests BadgeIssues BadgeLanguageMIT License

bindercolab

02_Python_Datatypes

Introduction 👋

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types.

Python is a dynamically typed language; therefore, we do not need to specify the variable’s type while declaring it. Whatever value we assign to the variable based on that data type will be automatically assigned. For example,name = 'Arthur' here Python will store the name variable as astr data type.

No matter what value is stored in a variable (object), a variable can be any type likeint,float,str,list,set,tuple,dict,bool, etc.


Table of contents 📋

No.Name
01Python_Numbers
02Python_String
2.1Python_String_Methods
03Python_List
3.1Python_List_Methods
04Python_Tuple
4.1Python_Tuple_Methods
05Python_Dictionary
5.1Python_Dictionary_Methods
06Python_Sets
6.1Python_Sets_Methods

These are onlineread-only versions. However you canRun ▶ all the codesonline by clicking here ➞binder


Frequently asked questions ❔

How can I thank you for writing and sharing this tutorial? 🌷

You canStar Badge andFork Badge Starring and Forking is free for you, but it tells me and other people that it was helpful and you like this tutorial.

Gohere if you aren't here already and click ➞✰ Star andⵖ Fork button in the top right corner. You will be asked to create a GitHub account if you don't already have one.


How can I read this tutorial without an Internet connection?GIF

  1. Gohere and click the big green ➞Code button in the top right of the page, then click ➞Download ZIP.

    Download ZIP

  2. Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.

  3. Launch ipython notebook from the folder which contains the notebooks. Open each one of them

    Kernel > Restart & Clear Output

This will clear all the outputs and now you can understand each statement and learn interactively.

If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.


Authors ✍️

I'm Dr. Milaan Parmar and I have written this tutorial. If you think you can add/correct/edit and enhance this tutorial you are most welcome🙏

Seegithub's contributors page for details.

If you have trouble with this tutorial please tell me about it byCreate an issue on GitHub. and I'll make this tutorial better. This is probably the best choice if you had trouble following the tutorial, and something in it should be explained better. You will be asked to create a GitHub account if you don't already have one.

If you like this tutorial, pleasegive it a ⭐ star.


Licence 📜

You may use this tutorial freely at your own risk. SeeLICENSE.

About

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook100.0%

[8]ページ先頭

©2009-2025 Movatter.jp