/91_Python_Mini_Projects

Primary LanguageJupyter NotebookMIT LicenseMIT

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binder colab

91_Python_Mini_Projects

This repository contains all the mini-projects that I've worked on python.

No. Name
01 001_Convert_IPython_to_PDF
02 002_Create_Digital_Clock_and_Stopwatch
03 003_Convert_.py_to_.exe
04 004_Find_IP_Address
05 005_Test_Internet_Speed
06 006_Check_Weather_Forecast
07 007_Create_AudioBook_from_PDF
08 008_Generate_Random_Jokes
09 009_Convert_image_to_ASCII_Grayscale_Negative_and_Pencil_Sketch_Art
10 010_Perform_Google_Search
11 011_Generate_QR_Code
12 012_Encode_CAPTCHA
13 013_Unzip_File
14 014_Run_JavaScript_in_Python
15 015_Web_Scraping_Covid-19_Data
16 016_Web_Scraping_CoWin_Vaccine_Slots
17 017_Check_Weather_Forecast_with_GUI
18 018_Draw_Sakura_Tree
19 019_Plagiarism_Checker
20 020_Road_Detection

These are read-only versions. However you can Run ▶ all the codes online by clicking here ➞ binder 020_Road_Detection

Frequently asked questions ❔

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

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

Go here if you aren't here already and click ➞ ✰ Star and ⵖ 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. Go here 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🙏

See github's contributors page for details.

If you have trouble with this tutorial please tell me about it by Create an issue on GitHub PNG 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, please give it a ⭐ star.


Licence 📜

You may use this tutorial freely at your own risk. See LICENSE.