Intensive 200-hour course in data analysis at MC College. Python, SQL, and more! America's Promise Grant, Summer 2019.
Anaconda distribution (Free, not OSS): https://www.anaconda.com/
Runs on any OS -- Unix-like systems takes some configuration
Jupyter notebooks within Anaconda
Notes from class are named as notes_{week}.{day}.txt
Exercises from class are named in the order we completed them: exercise{#}_{name}.ipynb
Other projects should be self-evident, including final_project and its preceding kin.
These projects and notes were completed for a class--they are not incredibly advanced, beautiful, elegant, or intented for distribution and display. Code is avaiable under the GPL3.0, which means you are free to copy, remix, or share as you see fit--provided you use a similar shareable, non-commercial license.
I enjoy programming--the different languages, techniques, and that thrill of finally hunting out bugs and seeing code run 'as intended.' As rewarding as creation is, it can be a source of endless frustration and general malaise. Learning is often expensive, whether monetarily or through the time-cost building fluency takes. Taking the time to develp new skills data analysis has been incredibly rewarding--languages both human and silicon fascinate me, and gaining competency in the latter is increasingly necessary in a high-tech world.
For anyone who has questions about projects herein--feel free to reach out.
Cameron.Cn | 柯智明 | 2019. Summer
只要努力，成功就可以 | With hard work, success is possible.