2025-05-01

28th B-Day

This year I will celebrate at home - Granger House. [finish investing, no career grinding]

27th birthday I celebrated in a bar in Stratford. [chill + start investing]

26th I celebrated in Whitechapel! [grind year and success]

25th I celebrated at home in Bethnal Green. [grind year]

24th I celebrated in bar Caldo. [grind year]

23rd Oxford

I wish last two years I have made more progress career-wise. Or at least were able to learn more things. I am currently in the trap of being alright.

Statically vs Dynamically typed languages

Python is dynamically typed but supports static typing using tools like mypy

statically typed languages:

• Java, C++
• require defining explicit definition of the type of the variables
• variables cannot change their type
• type checks are done at compile time (before runtime)

dynamically typed languages:

• Python
• no need to tell type of variables x=5 , then x= 'string'
• one variable can take different types
• type checks done at runtime (a bit slower)
• type hinting or type annotation x: int = 5 is just used fo documentation purposes
• you can use static type checker tool like mypy

DataFramely

Data Validation for DataFrames using schema-based approach. Allows you to do type, range, nullability checks at run-time. If they do not pass the program return a SchemaError.

QuantCo Polars DataFrame Validation Library

Python does not support real static type checks. Tools like mypy introduces static type checks but are not able to check the contents of tables/dataframes.

Pandera is a tool that allows you to:

• define a schema
• do checks on dataframes at runtime
• improve readability on dataframes objects and easier debugging