Welcome to my blog, which documents a linguist's learning journey to the world of AI and Python programming! My given name sounds just like two question words, how and when. So, what's covered here includes the hows for getting AI jobs done and whens for using the right tools created by the almighty open source community. This blog is basically a collection of my own learning records, which might be helpful to you if you are ~~a newbie~~ like me, chasing rabbits in the AI world. Mind you, I was trained for linguistics, not computer science or programming. What I'm offering is simply AI through a linguist's looking glass. If you'd like to be kept posted of new posts (I don't feel guilty for creating yet another problem for NLP.), please subscribe to the RSS feed of this blog.

Posts

freeCodeCamp project Demographic Data Analyzer

This post goes through the steps for completing the freeCodeCamp project Demographic Data Analyzer with the pandas library.

Mar 9, 2022
freeCodeCamp project Mean-Variance-Standard Deviation Calculator

To earn the freeCodeCamp certification on Data Analysis with Python, one has to complete five projects. This post goes through the details for the first one named Mean-Variance-Standard Deviation Calculator.

Feb 25, 2022
Scraping Dcard with cloudscraper

This post goes over the steps for scraping data from Dcard at regular intervals and saving the data to a SQL database.

Sep 12, 2021
Training lecture for the International Linguistics Olympiad

I share my training lecture and a problem set for the International Linguistics Olympiad.

Jul 18, 2021
StackEdit makes blogging in Markdown easy-peasy

This post describes my blogging workflow.

Jul 17, 2021
How I learned Python from scratch

I share the slides for a mini-talk I gave on how to learn Python from scratch.

Jul 11, 2021
List of blogs built with FastPages

This post aggregates other blogs built with FastPages that I came across.

Jul 11, 2021
What I did to pass the Microsoft Exam DP-100 for data scientists

I share the resources that I perused to pass the Microsoft Exam DP-100 for data scientists.

Jun 27, 2021
Classifying customer reviews with spaCy v3.0

This post shows how to train models that can automatically identify the sentiment and product category of customer reviews. With the help of the recently released spaCy v3.0, text classification is an absolute breeze.

Mar 12, 2021
Adding a custom tokenizer to spaCy and extracting keywords

This post shows how to plug in a custom tokenizer to spaCy and gets decent results for the extraction of keywords from texts in traditional Chinese.

Feb 16, 2021
Many ways to segment Chinese

This post introduces five Python libraries for segmenting Chinese into words and compares the effect of writing systems on parsing.

Jan 29, 2021
Visualizing real estate prices with Altair

In this post, I played around with the Altair library, which not only makes plotting fancy charts easy-peasy but also makes it possible to show interactive charts on fastpages-powered websites. With Altair, we'll visualize a dataset of real estate prices.

Jan 24, 2021
fastText embeddings for traditional Chinese

fastText models are useful for finding similar words in a corpus. This post compares two small fastText models trained on data in traditional Chinese.

Jan 22, 2021
My first post

For almost everything you'd like to learn, there's an awesome list for that on GitHub. On this blog, I plan to add my personal touch to various tools, documenting not only what I did right to get the ball rolling, but also what I did wrong to save you (or even future me) from abysmal frustration.

Jan 17, 2020