Most Viewed – Platinum Badge (>32,000 UPV)

1. Automate Microsoft Excel and Word Using Python, by Mohammad Khorasani (*)

Most Viewed – Gold Badge (>16,000 UPV)

2. The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes
3. Most Common Data Science Interview Questions and Answers, by Nate Rosidi (*)
4. 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks, by Terence Shin

Most Viewed – Silver Badge (> 8,000 UPV)

5. Django’s 9 Most Common Applications, by Aakash Bijwe
6. Learning Data Science and Machine Learning: First Steps After The Roadmap, by Harshit Tyagi (*)
7. How Visualization is Transforming Exploratory Data Analysis, by Todd Mostak (*)

Most Shared – Platinum Badge (>1400 shares)

1. The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes

Most Shared – Gold Badge (>700 shares)

2. How to Query Your Pandas Dataframe, by Matthew Przybyla (*)
3. Bootstrap a Modern Data Stack in 5 minutes with Terraform, by Tuan Nguyen
4. GPU-Powered Data Science (NOT Deep Learning) with RAPIDS, by Tirthajyoti Sarkar
5. 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks, by Terence Shin
6. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radecic

Most Shared – Silver Badge (>400 shares)

7. How Visualization is Transforming Exploratory Data Analysis, by Todd Mostak
8. Practising SQL without your own database Hui, by Xiang Chua (*)
9. Django’s 9 Most Common Applications, by Aakash Bijwe
10. Automate Microsoft Excel and Word Using Python, by Mohammad Khorasani
11. How To Become A Freelance Data Scientist – 4 Practical Tips, by Pau Labarta Bajo (*)
12. Learning Data Science and Machine Learning: First Steps After The Roadmap, by Harshit Tyagi
13. Most Common Data Science Interview Questions and Answers, by Nate Rosidi

(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. How to Query Your Pandas Dataframe, by Matthew Przybyla
2. Bootstrap a Modern Data Stack in 5 minutes with Terraform, by Tuan Nguyen
3. DeepMind’s New Super Model: Perceiver IO is a Transformer that can Handle Any Dataset, by Jesus Roriguez
4. GPU-Powered Data Science (NOT Deep Learning) with RAPIDS, by Tirthajyoti Sarkar
5. Practising SQL without your own database Hui, by Xiang Chua
6. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radecic