# 100 Days Challenge 100 days challenge is a project to enhance programming capability by set the training in 100 days timeline. 1. [100 days of X](https://www.100daysofx.com/) 2. [100 days of Code](https://www.100daysofcode.com/resources/) 3. [100 days of ML Coding](https://github.com/Avik-Jain/100-Days-Of-ML-Code/) 4. [James Priest Round 1](https://james-priest.github.io/100-days-of-code-log/) [Grow with Google](https://www.udacity.com/grow-with-google) 5. [James Priest Round 2](https://james-priest.github.io/100-days-of-code-log-r2/) 6. [James Priest Round 3](https://james-priest.github.io/100-days-of-code-log-r3/) Google Udacity Nanodegree (Mobile Web Specialist) 7. [James Priest Round 4](https://james-priest.github.io/100-days-of-code-log-r4/) 8. [James Priest Round 5](https://james-priest.github.io/100-days-log/log5.html) [Udacity React Nano Degree](https://www.udacity.com/course/react-nanodegree--nd019) 9. [James Priest Round 6](https://james-priest.github.io/100-days-log/log6.html) [Complete React Developer](https://www.udemy.com/complete-react-developer-zero-to-mastery/) 10. [Reddit Daily Programmer](https://old.reddit.com/r/dailyprogrammer/) 11. [PyBites 100 Days of Code](https://github.com/pybites/100DaysOfCode) 12. [Enlight](https://enlight.nyc/) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://irosyadi.gitbook.io/irosyadi/note/100-days-challenge.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.