Python

• Emacs python setup
• pyright, conda, ipython
• images and graphs via an external experiment tracker
• two philosophies.
  • separate results from code
  • literate programming

• starting out diving deeper into Hy (Lisp + Python)
• plan on being able to use the python ecosystem with the fluidity of lisp off of my fingers.

• read a little about task queuing, checkout:
  • https://www.fullstackpython.com/task-queues.html
• exploring testing in python, first line of defense against bugs should be, in the case of python, using Type hints.
  • read up : https://realpython.com/python-testing/
    • also see https://hypothesis.readthedocs.io/en/latest/quickstart.html for test-case generation
• also, in the case of browser applications, look into Selenium
• read up on creating mock tests : https://realpython.com/python-mock-library/

• reached the frameworks section and the book seems to be a little out-dated (django or flask)
• instead, proceeding with FastAPI
• for the frontend, again rather than react or other similar alternatives, will proceed with htmx.
• will be strengthening the web development aspect for once.

• continuing the fullstack python marathon
  • delving into databases and web frameworks today

• starting an open source book to densen the sparsed out knowledge of python I've accumulated over the years.
• although work in AI, feel like I should have more than a working knowledge of the practical aspects of programming and development in general.
  • will be completing full stack python over the coming days
• diff b/w setup.py vs requirements.txt
• instead of separately using pip and venv, checkout pipenv
  • conda and mamba are fine, but personally feel like they're a little too slow for my patience levels.
    • broke micromamba once and then just shifted to using venv, no regrets there: segmentation faults are scarier when dealing with python than when working with C.

Exploring Serialization

• some programming languages force the programmer to think like they're building with lego blocks.
• some enquire (or enforce) enlightenment before one can start coding elegantly
• some induce mania
• some are crisp and structured and just …., yeah, they just are.
• python can be everything depending on who you are(I'm guessing).
  • worth mastering.
• I'm going the careless children way.
  • here's the parent doing it's job before it was created:
    • Async-IO(python)
    • Python GIL