Photo by Louis Paulin from Unsplash
  1. Some rules need to know before using
  2. Search for a specific venue category
  3. Explore a particular venue
  4. Explore a geographical location
  5. Get trending venues around…


Focus on the backend, without frontend and authentication


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Problem statement

  1. Demographics data for the general population of Germany; 891 211 persons (rows) x 366 features (columns), named it as azdias.
  2. Demographics data for customers of a mail-order company; 191 652 persons (rows) x 369 features…


With two methods: For loop and Counter container

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What the problem and target are:


The extensions: HTML Preview, Live Server and open in browser

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  1. HTML Preview


Photo by Roman Synkevych on Unsplash
  1. The files are ready and I would like to push them to a remote repo(Github)
  2. I make some changes locally and would like to publish the changes to the remote repo
  3. I would like to create a Github page based on the project.


Cleaning only with Pandas

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  1. How to only use pandas to traverse and clean dirty batch Excel worksheets
  2. Based on step 1, how to traverse batch Excel workbooks and consolidate the report
  3. How to save the Excel file to MySQL database and interact with it.

Introduction to datasets


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And other challenges for a CNN project

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squeeze(), unsqueeze(), tensor[None],max(),argmax(), and view()

Pic from github
  • squeeze(),
  • unsqueeze() and a[None],
  • max()
  • argmax()
  • view()

Xue Wang

Happ coding|Coding learner|Data content writer

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