Absorbing Information on Jupyter Notebooks

September 4, 2019

Part of the Jupyter Notebooks Category

Note: [**] indicates Python3 Script or Jupyter Notebook ran fine

Note: [@@] indicates many Python3 Script or Jupyter Notebook included but not run

A place to bookmark links in no particular order about this topic.

  1. Jupyter Notebook for Beginners: A Tutorial – Completely worked this topic March 2, 2019 [**] – View html version of my completed notebook
    Set folder to be “Jupyter Notebook Tutorial” – September 4, 2019
  2. Advanced Jupyter Notebooks: A Tutorial – Completed reading March 9, 2019 [@@]
  3. 28 Jupyter Notebook tips, tricks, and shortcuts – Completed reading March 10, 2019 [@@]
  4. Working with SQLite Databases using Python and Pandas” (2016) – Completed reading March 10, 2019 [@@]:
    1. Using Python Pandas dataframe to read and insert data to Microsoft SQL Server – Completed reading on March 10, 2019 [@@]
  5. How to create and save a Jupyter Notebook with Anaconda Navigator – Completed viewing on March 15, 2019
  6. A gallery of interesting Jupyter Notebooks – Completed reading on March 18, 2019. [@@]
  7. Towards effective foraging by data scientists to find past analysis choices (Verdant) – Completed reading on May 26, 2019
  8. Bringing the best out of Jupyter Notebooks for Data Science – Completed reading on June 2, 2019
  9. Home Credit Default Risk – Completely worked this topic July 15, 2019 [**] – View html version of my completed notebook
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About Don Larson

Using computer technology since June 1980.
This entry was posted in Education, Julia Language, Jupyter Notebooks, Personal, Programming Languages, Python, Technology. Bookmark the permalink.