Python Numeric Data Types: int, float, Decimal and When to Use Each
Python numeric data types explained: int, float, Decimal, Fraction and complex, why 0.1 + 0.2 is not 0.3, and how to handle money without rounding errors.
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Python Operators: What Each One Returns, and Where It Bites
Python operators explained with outputs for every example, plus why is works for 256 but fails for 257 and why and/or rarely return booleans.
NumPy Tutorial for Beginners: NumPy Arrays in Python (Part 1)
NumPy tutorial for beginners: what an array is, why it ran about 20 times faster than a list here, how one stray string turns numbers into text, and more.
Python Tuples: Unpacking, Dict Keys and the Trailing-Comma Trap
How to use Python tuples well: creating them, unpacking, using them as dict keys, named tuples, and the one-element and += gotchas that catch everybody.
NumPy Aggregation, Sorting and Linear Algebra in Python (Part 4)
NumPy aggregation along axes, NaN-safe statistics, argmax, sorting and linalg.solve, plus why NumPy and pandas return different standard deviations.
Python Classes and Objects: Object-Oriented Programming, Part 1
Python classes and objects explained with tested code: __init__, self, dunder methods, properties and dataclasses, plus the shared-list bug to learn first.
Exception Handling in Python: Catch Narrowly, Log Everything
Exception handling in Python done properly: try, except, else and finally, custom exceptions, chaining and logging, and why a bare except can break Ctrl-C.
Python Functions: Writing User-Defined Functions Worth Reusing
How to write Python functions: arguments, defaults, *args and **kwargs, scope, type hints and docstrings, plus the mutable default bug everyone hits once.
Lists vs Tuples in Python: Differences and When to Use Each
Lists vs tuples in Python beyond 'one is mutable': the real differences in hashability, memory, safety and intent, plus a decision rule that works in practice.
Iterators and Generators in Python: Process Files Larger Than RAM
Iterators and generators in Python explained: yield, pipelines that stream big files in flat memory, itertools, and why a generator silently runs only once.