More Freee Books: Data Science etc

Ohh wow, the Internet is full of Google Drive Links to Download so much content.

Here are the links to a few books related to Data Science related material that I recently found:

First of all, I would urge anyone reading this blog to join this Facebook group if they are interested in more free Data Science related resources https://www.facebook.com/groups/953875852069445/

Then scroll and download anything you require from this article

List of Online Resources

Excell Related PDFs

https://drive.google.com/drive/folders/1Hra6hYXY9EzWELAJ_3pg9EwnbnTspr8Z

Data Science from Scratch

https://drive.google.com/file/d/1zZ0Hu6kwYBk-LPu1UuDO0O28UgGkO5VO/view

Python Data Structure and Algorithms

https://drive.google.com/file/d/1qV8sCPJVG8shcUitG__e8H3MawCs_lew/view?usp=sharing

And as posted before

Pro Python 3

https://drive.google.com/file/d/1t5UdLIEEagIOTtoRyDBlcvUSSCJYBdIr/

See you in the next post or next life, whichever comes first !!!

Tapish Dongre

Pro Python 3

In general, I don’t openly promote piracy but as joining multiple groups learning python, data science, and cloud I came across many resources.

Some resources are freely available and some are heavy on our pocket.

The views expressed by fellow learners put me into the moral dilemma of, “to what extent the resources should be charged and to what extent they should be available for free?”

I have decided from time to time I would share some of these resources which will enable everyone to grow as a collective community.

One of the links I got recently introduced with from a FB group about Python Programming is :

“PRO Python 3 Features and Tools for Professional Development” by J. Burton Browning and Marty Alchin

All rights to the book are reserved to the respective owner, and the book is available to download only for a short period of time till the kind fellow humans keep the sharing link active.

To download please follow the link: https://drive.google.com/file/d/1t5UdLIEEagIOTtoRyDBlcvUSSCJYBdIr/

Also if the link is not available in the future, please write it in the comments section below and I will remove this post.

Thanks

Tapish Dongre

Creative Markdown Cheatsheet

While practicing work on Jupyter Notebooks there are many fancy ways to write a code markdown. Markdown are like Headings, Titles and Subtitles in a code which are not executed in while we run the programme. These Markdowns are only there to guide the reader of what the code is about or explain the code step by step or add hint or comments.

There is a cheat sheat to guide us through the variety of Markdown styles. I will provide the link to original post so that the credit goes to the content creator rather than just copy pasting the styles in this web page.

This link to the Markdown Sheet is: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet

Hope to share more info about Data Science as and when I learn about it.

Regards

Tapish

R resources (Recommended by Dr Rafael A Irizarry on EdX)

Online R resources: