Hello, @DevJames1. As @Maryann-Onyinye stated in the project page, Phabricator isn't really the place to do introductions, you should do that in Zulip.

In T359186#9609870, @Ederporto wrote:

Hello, @DevJames1. As @Maryann-Onyinye stated in the project page, Phabricator isn't really the place to do introductions, you should do that in Zulip.

Ok, Well understood, thanks for the clarification.
I was thinking I could create a template here to update steadily and ask for a review for my final application,
I will now invalidate this sub-task,
Thanks

I will now regularly update the weekly project progress report here

Weekly Internship Report

Week 1 : May 27 - June 2
Overview of Tasks Completed:

• Community Bonding
• Create a proposal on Phabricator to track progress using the comment section
• Create a wiki meta user page
• Complete the first Introductory blog post
• Study how to get structured information from Wikidata, Learning about SPARQL queries for Wikidata which has data stored in the Resource Description Framework (RDF) format.

Challenges Faced:

• Wikidata linked data format and SPARQL learning curve, but by going through the tutorial on WDQS tutorial I was able to understand the basics of SPARQL and Wikidata and it's concepts.

Learnings and Skills Gained:

• SPARQL syntax used to query and manipulate Wikidata data.
• Knowledge about Structured data on Wikidata and how to access it.
• Writing Skills

Weekly Internship Report

Week 2 : June 3 - June 9
Overview of Tasks Completed:

• Write Python scripts to fetch and test the structured data from Wikidata
• The Technical Plan laid out and discussed with my mentors
• Research what happens when NaNs are in a bar chart race structured data frame. - how does it act when you leave the NaNs or when you do ffill/bfill
• Start Benchmarking existing tools and technologies for infographic creation and Wikidata integration.

Challenges Faced:

• Pandas converting my integers to float type after pivoting the table, but I was able to solve this by leaving the Year column as string type and explicitly converting the Population column to integer type using astype(int)
• Dealing with NaN values on the data frame and how to appropriately fill these cells

Learnings and Skills Gained:

• Benchmarking/Research skills
• More Python data skills especially using the Pandas package
• Writing Skills

Weekly Internship Report

Week 3 : June 10 - June 16
Overview of Tasks Completed:

• Fill out the technical requirement section of the technical plan
• Completed my blog post about an open-source vocabulary term
• Conclude benchmarking existing tools and technologies for infographic creation and Wikidata integration.
• Refactor the query code to fill the NaNs before the first value in a column with zero in the data frame and properly handle subsequent NaN values

Challenges Faced:

• Dealing with NaN values on the data frame and how to appropriately interpolate and extrapolate between NaNs between valid values and after valid values

Learnings and Skills Gained:

• Documentation skills
• More Python data skills especially using the Pandas package
• Interpolation in Pandas data frame

Weekly Internship Report

Week 4 : June 17 - June 23
Overview of Tasks Completed:

• Fill out the technical documentation for processes and tools used so far In the project
• Brush up skills in Flask
• Learn about MariaDB, which is commonly used in Wikimedia projects
• Update technical plan with comparisons between Django vs Flask, for the best fit for this project

Challenges Faced:

• None

Learnings and Skills Gained:

• Flask
• MariaDB
• Research skills and documentation

Weekly Internship Report

Week 5 : June 24 - June 30
Overview of Tasks Completed:

• Completed my blog post explaining my project to a newcomer to our community
• Restructure the GitHub repository - split the directory to frontend and backend(React/Flask)
• Add this restructure on GitHub to the technical plan
• Learn about Setting up web services on Toolforge

Challenges Faced:

• None

Learnings and Skills Gained:

• Toolforge Cloud
• Writing skills
• Research skills and documentation

Weekly Internship Report

Week 6 : July 1 - July 7
Overview of Tasks Completed:

• Completed my blog post a progress report of what I've accomplished in the first half of the internship.
• Started working on the base/core (Backend) of the application

Challenges Faced:

• None

Learnings and Skills Gained:

• Wikimedia OAuth1

Weekly Internship Report

Week 7 : July 8 - July 14
Overview of Tasks Completed:

• Completed my blog post about what your career goals are.
• Fixed the Login flow to work seamlessly in a Flask + React setup
• Continued working on the base/core (Backend) of the application

Challenges Faced:

• Session management in a Flask + React setup and Wikimedia authentication callbacks.

Learnings and Skills Gained:

• Wikimedia OAuth1 Login flow in a Flask + React setup

Weekly Internship Report

Week 8 : July 15 - July 21
Overview of Tasks Completed:

• Develop front-end interface
• Complete the Data Table, and make it responsive

Challenges Faced:

• responsive design

Learnings and Skills Gained:

• React UI kit implementations
• JQuery Data tables

Weekly Internship Report

Week 9 : July 22 - July 28
Overview of Tasks Completed:

• Fix the dropdown menu for mobile view
• Separate Frontend/Backend into Different Repositories
• Signup on Toolforge

Challenges Faced:

• Using JQuery Datatables in React

Learnings and Skills Gained:

• Setting up Github Projects

Weekly Internship Report

Week 10 : July 29 - August 4
Overview of Tasks Completed:

• Fix the datable issues of reinitializing when new data is retrieved to reduce error.
• Replace the page after authentication so that users can't go back to the previous page
• Write documentation
• Write a diff post on the progress so far in building the application

Challenges Faced:

• Some UI bugs

Learnings and Skills Gained:

• React Data table package
• Better Error handling in React and Python

Weekly Internship Report

Week 11 : August 5 - August 11
Overview of Tasks Completed:

• Work on code editor and handling errors(showing line numbers and highlighting in red)
• Write a blog post about the Informal chat I organized with Anthony and other interns

Challenges Faced:

• The code editor package had to be changed as it didn't support line highlighting errors on line numbers

Learnings and Skills Gained:

• Implementing code editor on frontend
• Writing and blogging skills,
• Collaborating skills

Weekly Internship Report

Week 12 : August 12 - August 18
Overview of Tasks Completed:

• Implement exporting table data as CSV.
• Start creating rules for charts in the backend
• Implementing logic for bar chart race (fetching, processing, displaying)

Challenges Faced:

• Creating rules for bar chart race
• Cleaning bar chart race data
• Implementing bar chart race in frontend

Learnings and Skills Gained:

• data analysis and cleaning data
• d3.js javascript package

Weekly Internship Report

Week 13 : August 19 - August 23
Overview of Tasks Completed:

• Finishing up and final touches with reviews
• Updating READMEs and Documentation
• Final blog post - Wrapping Up My Outreachy Journey: A Reflection on Growth and Success

Challenges Faced:

• none