FREE Daily Dose of Data Science PDF (350+ Pages)

Full archive with 250+ Data Science and Python tips.

I have been writing consistently for over 200 days now, sharing one tip a day. Thus, I thought it would be good to put together all my tips in a single PDF and share it with you.

It covers 250+ posts and has over 350 pages.

Some of my personal favorite topics are:

1. You were probably given incomplete info about a tuple's immutability.

2. An interactive guide to master Pandas is one go.

3. A visual and overly simplified guide to PCA.

4. The limitation of Euclidean distance, which many often ignore.

5. Why don't we call it logistic classification instead?

6. Why 256 is 256, but 257 is not 257?

7. An animated guide to understanding KMeans.

8. A nasty hidden feature of Python that many programmers aren't aware of.

9. Pandas and NumPy output different values of standard deviation. Why?

10. Vectorization does not always guarantee better performance.

I am deeply grateful to everyone who loves to read my work. I hope this PDF will be helpful. I will keep updating this PDF every two weeks.

PDF Download Link: Click Here.

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I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.