My Data Science & Python Coding Projects, http://datasciY.com

Note: Renamed "master" to "main" branch in June 2020

Public Repo, links from datasciY.com to project files, Jupyter notebooks

Author: Jennifer E Yoon

Description

All pages are hand coded by me using HTML5 and CSS3 standard. I also hand coded the stylesheet. After evaluating Bootstrap and W3C Frameworks, decided to code a light weight style sheet using only items in use. Style makes use of CSS3 Grid to layout photos. Most of the coding examples are using the Python language and Python data science libraries. Some of the demos and articles are about tools and cloud services.

Tags

• Topics: data science, data analysis, machine learning, deep learning, visualization, statistics, econometrics, financial derivatives, economics

• Python Libraries: Python core, Jupyter Lab, NumPy, Pandas, Matplotlib, Scikit-Learn, PyTorch, Fastai, Plotly, Dash

• Other Software, Services and Tools: Excel, VBA, SQL, Unix bash, GitHub, VS Code, Google Colab, AWS (EC2, Lambda, S3, Route 53)

To view HTML files directly from Github, prepend the following text to your browser's URL:

• https://htmlpreview.github.io/?
• e.g.: to view example_rt.html file on this repo:
  https://htmlpreview.github.io/?https://github.com/JennEYoon/datasciY/blob/main/example_rt.html

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Folder Structure

• datasciy.com (folder) -- only hosted files

  • root level:

    • dsy.css -- My handcoded stylesheet, uses CSS3 format, the latest standard.
    • purpleimg.jpg -- Header image used in HTML files.
    • about.html -- Profile
    • articles.html -- long-form articles
    • blog.html -- short, quick updates
    • general.html -- posts on general topics
    • projects.html -- coding projects and short coding exercises

  • articles (folder) -- in-depth write ups (supporting folder)

  • assets (folder) -- image and pdf files called at root level by src command.

  • blog (folder) -- short posts, news and thoughts (supporting folder)

  • general (folder) -- files related to posts.

    • Note: ngram data files are stored localled in:
      C:/python/repos/large-files/
    • Files are too big to upload to GitHub.

  • projects (folder) -- programming projects (supporting folder)

  • wip-temp (folder) -- saved links and snippets while writing posts
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• colab (folder) -- hosted Google CoLab Jupyter notebooks
  Links to published files on datasciY.com, that are executable on Google CoLab.

• mybinder (folder) -- hosted MyBinder.org Jupyter notebooks
  Links to published files on datasciY.com that are executable by user on MyBinder.org image.
  (Note: Takes a long time to build, about 10 minutes.)

• chatgpt-ai (folder) -- development, using chatgpt in coding.

History

• Oct 12, 2020 -- added data science resume copy to root.
• Sept 19, 2020 -- streamlined repo, moved out folder for learning, financial modeling.
• Add jsq folder and javascript exercises - June 20-23, 2020.
• Add links to HTML github viewer, Open In CoLab, Open In MyBinder - June 2020
• Add general.html page for broader topics - June 13-15, 2020 ngram data files stored in "large-files" folder, not uploaded to Github due to size.
  -
• My 2nd Github repo, created Oct 16, 2018, part of WWC NOVA Hactoberfest.
• Website hosted on AWS Route 53 from 2018+
• Temporary website design hosted on Google Sites.
• Domain purchased on Sept 2017.