Day 26 of #100DaysOfCode
Today I decided that, in the coming days, I want to review fundamentals of #MachineLearning.
After that, I will hopefully work with #AIAgents. I also wrote some in my #SQL book 
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
Day 25 of #100DaysOfCode
Today I decided to practice coding in #NodeJS and implement Node.js code to use #Ollama.
See code
https://github.com/sinocelt/100daysofcode-2025-07/tree/main/ollama_work/nodejs_work
Now I can use Ollama in Python, Node.js, or via its command-line tool.
Day 24 of #100DaysOfCode
I decided to practice using statistical #visualization techniques including a histogram, a box plot, and others.
I used data from the #WorldBank for world literacy rates in 2023.
Day 23 of #100DaysOfCode
I had limited time to work on my challenge today. But, I wrote a simple #Ollama usage guide
Day 22 of #100DaysOfCode
I decided to try the new #Gemma3 variant with 270M parameters with #Ollama. I wanted to write a short guide on Ollama, but ran out of time. I showed how to use Ollama with Python.
See the code
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/ollama_work/ollama_with_python.ipynb
https://github.com/sinocelt/100daysofcode-2025-07/tree/main/ollama_work
Day 21 of #100DaysOfCode
I was inspired by a reader's comment on my #Chinese language learning blog, https://mandarinportal.com, to improve some code I had written to interact with #CCCEDICT. The CC-CEDICT is an open source Chinese-English dictionary, but is difficult to parse. I decided to practice #VibeCoding to convert the dictionary into an #SQL database. The solution uses #Python and #SQLite.
See the code
https://github.com/sinocelt/100daysofcode-2025-07/tree/main/cc_cedict_work
Day 20 of #100DaysOfCode
I worked more on my #SQL book
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
I also decided to stop working on my Python book until the SQL book is done. It is too difficult to work on two technical books at the same time.
Day 19 of #100DaysOfCode
I adapted previous articles I've written for content in my #SQL book
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
Today, I also had a meeting for a potential volunteering opportunity that I hope can help broaden my tech skills.
Day 18 of #100DaysOfCode
I uploaded a video for how to use the gpt-oss #AI models with the #HuggingFace API. Watch it below
https://go.watsontechworld.com/90-video-long-form-using-gpt-oss-models-with-hugging-face-api
I also briefly worked on my SQL book
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
Day 17 of #100DaysOfCode
I filmed a video tutorial for how to use the new gpt-oss #AI models with #HuggingFace's API. I will post it later.
You can modify the #Python code I made
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/gpt-oss-huggingface-api.ipynb
See example output below from gpt-oss-20b for how to read more effectively and faster
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/openai_gpt_oss_20b_how_read_faster_output.md
Day 16 of #100DaysOfCode.
Today, I worked on a tutorial for using the #HuggingFace #API to use the gpt-oss #AI models. Soon I'll make a video tutorial for it.
You can modify the code I made for yourself
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/gpt-oss-huggingface-api.ipynb
You can also see example output from gpt-oss-120b for how to learn Japanese effectively and how to become fluent within 2-3 years
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/openai_gpt_oss_120b_novita_2025_08_08_23_38_36_output.md
Day 15 of #100DaysOfCode
I tried the new gpt-oss #AI models with #Ollama and also with #HuggingFace's API.
I wrote a guide for how to use them
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/gpt-oss-huggingface-api.ipynb
Example output from gpt-oss-120b
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/example_gpt_oss_120b_output.md
Day 14 of #100DaysOfCode.
I used #Rclone to copy data from one Google account to a #VPS and then to another Google Drive account.
I wrote a brief guide on it
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/rclone-with-google-drive.ipynb
I also briefly looked into the gpt-oss #AI models
Day 13 of #100DaysOfCode.
I worked on integrating Hugging Face API code from yesterday into an app I'm building, and it was successful!
I also wrote more in my #SQL book and chatted with an artist about potential images for the book.
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
Day 12 of my #100DaysOfCode challenge.
I decided to work on some code to use the Hugging Face API for using many possible #OpenSourceAI models to generate useful output.
https://github.com/sinocelt/100daysofcode-2025-07/blob/main/huggingface-api.ipynb
Day 11 of my #100DaysOfCode challenge.
I’ve started writing a book called "SQL for Beginners"
You can check out the early draft here:
https://github.com/sinocelt/sql-for-beginners/blob/main/sql-for-beginners.ipynb
I also added a bit more to my beginner-friendly Python book:
https://github.com/sinocelt/learn-python-by-example/blob/main/learn-python-by-example.ipynb
Both are very early-stage and basic, but I’m committed to improving them over time.
Day 10 of my #100DaysOfCode challenge.
I practiced with making a custom visualization with #seaborn and #matplotlib.
https://github.com/sinocelt/useful-pandas-code/blob/main/visualization/visualization-03.ipynb
Also I wrote more in my #Python book which I might use in a course.
https://github.com/sinocelt/learn-python-by-example/blob/main/learn-python-by-example.ipynb
Day 9 of my #100DaysOfCode challenge.
I decided to practice making visualizations with #seaborn. I didn't have enough time to customize the main visualization, but was able to make a simple one with seaborn and matplotlib.
https://github.com/sinocelt/useful-pandas-code/blob/main/visualization/visualization-03.ipynb
Also I wrote more in my book "Learn Python by Example" which I might eventually publish.
https://github.com/sinocelt/learn-python-by-example/blob/main/learn-python-by-example.ipynb
Day 8 of my #100DaysOfCode challenge.
I used another dataset from the World Bank called "Unemployment, total (% of total labor force) (modeled ILO estimate)", practiced melting data, and made visualizations of the top 10 lowest unemployment countries in 2024 and top 10 highest unemployment countries in 2024.
https://github.com/sinocelt/useful-pandas-code/blob/main/visualization/visualization-02.ipynb
Also I wrote more in my book "Learn Python by Example"
https://github.com/sinocelt/learn-python-by-example/blob/main/learn-python-by-example.ipynb
Day 7 of my #100DaysOfCode challenge.
I decided to review melting data which is changing the format of a table from wide to long format.
https://github.com/sinocelt/useful-pandas-code/blob/main/visualization/visualization.ipynb
I also started a repository for teaching Python to beginners. I hope to use some of this code eventually for a Python course or even a book!
https://github.com/sinocelt/learn-python-by-example
