Hello! I’m Khuyen Tran. I have been writing on Medium since December 2019, but I haven’t properly introduced myself so I wrote this article to do so.
I major in statistics, but I love playing with data science and Python tools and share them with others in my free time. Thus, I decided to write at least one article per week. At the point of writing this article, I have written a total of 97 articles.
What Motivates Me to Write?
I love open-source tools, but it can be difficult to understand what they do without spending hours on them. Thus, some cool packages are known by only a handful of programmers. My mission is to bring these great packages to more people who need them.
Some of the top articles about open-source tools I wrote:
- Stop Using Print to Debug in Python. Use Icecream Instead
- How to Create Mathematical Animations like 3Blue1Brown Using Python
- Introduction to Datapane: A Python Library to Build Interactive Reports
- Pytest for Data Scientists
- PyWebIO: Write Interactive Web App in Script Way Using Python
- Introduction to Hydra.cc: A Powerful Framework to Configure your Data Science Projects
I also write about other topics such as natural language processing, machine learning, statistics, learning tips. Find all of my articles plus their source code here:
Collection of useful data science topics along with code and articles in my data science blog. If you are using an RSS…
How do I have the Time to Write?
You will always have the time for things that you prioritize. In my case, I prioritize writing.
You always have time for the things you put first — Kushandwizdom
What have I Created?
Data Science Simplified
Besides articles, I share daily data science tips at my website, Data Science Simplified. At Data Science Simplified, I share bite-sized tips that are related to data science, Python, command line, and other cool tools I found.
At the moment of writing this, I shared a total of 246 tips.
Why I created this?
Because I believe good code can speak for itself. If you can learn a little bit of coding every day and apply what you learn, eventually you will become a great coder.
Awesome Python Data Science Books
Awesome Python Data Science Books is probably the best-curated list of data science books in Python. A short summarization for each of them is included.
Why I created this?
I love reading technical books that are related to Python and data science. I want to share with others my favorite books so I put them together in one place.
Top GitHub Scraper
Top-github-scraper scrapes top GitHub repositories and users based on keywords.
Why I Created this?
There are over 56 million developers in GitHub. This means just by exploring GitHub, you can potentially find your software’s partners or your next employee. Thus, I created this to enable you to find interesting people or repositories on GitHub in one line of code.
Is that All?
I listed only a few among the things I created here because I prefer not to waste your time. But if you want to know more, you can look at my GitHub repositories.
How Can I Follow your Updates?
The easiest way to follow my update is to subscribe to my newsletter at Data Science Simplified. By subscribing to the website, you will get daily data science and Python tips plus updates of my articles in your mailbox.