Top August Stories: Automate Microsoft Excel and Word Using Python; The Difference Between Data Scientists and ML Engineers

Automate Microsoft Excel and Word Using Python; The Difference Between Data Scientists and ML Engineers; Most Common Data Science Interview Questions and Answers; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks



Here are the most popular August 2021 stories on KDnuggets. The first 6 blogs also won KDnuggets Top Blogs Rewards for August.

Platinum BlogMost Viewed - Platinum Badge (>32,000 UPV)

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


Gold BlogMost Viewed - Gold Badge (>16,000 UPV)

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


Silver BlogMost Viewed - Silver Badge (> 8,000 UPV)

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







Platinum BlogMost Shared - Platinum Badge (>1400 shares)

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


Gold BlogMost Shared - Gold Badge (>700 shares)

  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. GPU-Powered Data Science (NOT Deep Learning) with RAPIDS, by Tirthajyoti Sarkar (*)
  4. 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks, by Terence Shin
  5. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radecic


Silver BlogMost Shared - Silver Badge (>400 shares)

  1. How Visualization is Transforming Exploratory Data Analysis, by Todd Mostak
  2. Practising SQL without your own database, by Hui Xiang Chua (*)
  3. Django's 9 Most Common Applications, by Aakash Bijwe
  4. Automate Microsoft Excel and Word Using Python, by Mohammad Khorasani
  5. How To Become A Freelance Data Scientist – 4 Practical Tips, by Pau Labarta Bajo (*)
  6. Learning Data Science and Machine Learning: First Steps After The Roadmap, by Harshit Tyagi
  7. 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. GPU-Powered Data Science (NOT Deep Learning) with RAPIDS, by Tirthajyoti Sarkar
  4. Practising SQL without your own database, by Hui Xiang Chua
  5. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radecic