feat(tools): remove eslint-plugin-prettier for prettier (#42438)

* feat: remove eslint-plugin-prettier for prettier

This removes the annoying lint warnings when all that needs to change is
formatting

* fix: use .js lint-staged config to ignore properly

* fix: lint everything if a lot of files are changed

It's faster than making lots of individual linter calls

* chore: apply prettier

* fix: ignore code in curriculum-file-structure

client/src/pages/learn/data-analysis-with-python/data-analysis-with-python-course/index.md

@@ -3,6 +3,7 @@ title: Introduction to the Data Analysis with Python Course Lectures
 block: Data Analysis with Python Course
 superBlock: Data Analysis with Python
 ---
+
 ## Introduction to the Data Analysis with Python Course Challenges
 
 Learn Data Analysis with Python in this comprehensive tutorial. Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

client/src/pages/learn/data-analysis-with-python/data-analysis-with-python-projects/index.md

@@ -3,19 +3,22 @@ title: Introduction to the Data Analysis with Python Projects
 block: Data Analysis with Python Projects
 superBlock: Data Analysis with Python
 ---
+
 ## Introduction to the Data Analysis with Python Projects
 
 There are many ways to analyze data with Python! By completing these projects, you will demonstrate that you have a good foundational knowledge of data analysis with Python.
 
 We are working to finish up the interactive Data Analysis instructional content. For now, here are some videos from freeCodeCamp that will help with the projects. You may also have to use other resources (just like you would have to do when learning new technologies in a job).
- * [Python NumPy Video Course](https://www.youtube.com/watch?v=QUT1VHiLmmI) (1 hours)
- * [Data Science Video Course](https://m.youtube.com/watch?v=ua-CiDNNj30) (6 hours)
+
+- [Python NumPy Video Course](https://www.youtube.com/watch?v=QUT1VHiLmmI) (1 hours)
+- [Data Science Video Course](https://m.youtube.com/watch?v=ua-CiDNNj30) (6 hours)
 
 In this section you will develop the following projects:
- * Mean-Variance-Standard Deviation Calculator
- * Demographic Data Analyzer
- * Medical Data Visualizer
- * Page View Time Series Visualizer
- * Sea Level Predictor
+
+- Mean-Variance-Standard Deviation Calculator
+- Demographic Data Analyzer
+- Medical Data Visualizer
+- Page View Time Series Visualizer
+- Sea Level Predictor
 
 Have fun and remember to use the [Read-Search-Ask](https://forum.freecodecamp.org/t/how-to-get-help-when-you-are-stuck-coding/19514) method if you get stuck.

client/src/pages/learn/data-analysis-with-python/index.md

@@ -2,6 +2,7 @@
 title: Data Analysis with Python
 superBlock: data-analysis-with-python
 ---
+
 ## Introduction to Data Analysis with Python
 
 Learn the basics of data analysis with Python.

client/src/pages/learn/data-analysis-with-python/numpy/index.md

@@ -3,6 +3,7 @@ title: Introduction to the Numpy Lectures
 block: Numpy
 superBlock: Data Analysis with Python
 ---
+
 ## Introduction to the Numpy Challenges
 
 Learn the basics of the NumPy library with the following lectures created by Keith Galli. They provide background information on how NumPy works and how it compares to Python's Built-in lists. They go through how to write code with NumPy, creating arrays, indexing, math, statistics, reshaping, and more!