LinkedIn repository for Python-Practice.

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Before you start your jouney please click on to get it onto your local machine

Also get Anaconda IDE for your jupyter notebooks to make life easy🐍🐍 or you may also try

Or you may also try the browser version of jupyter notebook just by clicking the button provided below (Limited access to features)

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• Contains here are all the modules which I upload every week.

• Also find the steps to get all the jupyter notebooks to start your journey in Data Science.

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There are two ways to get your notebooks

Way 1: After getting into the repository you may bulk download all the files using the get code(green color button) and download it as Zip file and can extract it to get onto local disk of your machine as shown in the image below

Alternate way: Or you may go into individual folders like python practice or references to get your preferred notebooks and after the notebooks are render.

Right-Click on raw and save link as get your notebook on your machine as shown in the image below

Frequently asked questions ❔

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

You can and 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'll be asked to create a GitHub account if you don't already have one.

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Author

Hello All! My name is Desai Viraj and I am the writter of these training modules. If you think you can add/correct/edit and enhance this tutorial you are most welcome🙏

For contributing to this open source repository

1. Create a Github account and install git into your machine for seamless experience

2. Generate a pull up request from the repository using the pull up request

3. Clone the repository into your local machine and once done you may commit and push changes

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. 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.

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Licence 📜

You may use this tutorial freely at your own risk. See LICENSE. Copyright (c) 2020 Desai Viraj

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Some golden rules before you start coding

• Don't get dis-hearted if your code is not running in first attempt.

• Code to learn and learn to code

• Try to consolidate code

• Always write code so others can also understand (add comments)

Hope this helps to start your journey with me 😄😄