Python
Multiprocessing
Processes each run their own interpreter with their own GIL, so they can use every processor core. The cost is that nothing is shared by default.
Python
A complete core Python path: syntax, data types, operators, strings, control flow, collections, functions, exceptions, files, modules, the standard library, OOP, iterators, generators, decorators, internals, concurrency, regular expressions, testing, typing, performance, security, problem solving, projects, interview preparation and exams.
110 notes in 33 topics
Topics in Python
Basics 5
Data Types 4
Operators 5
Strings 5
Control Flow 5
Lists 3
Tuples 2
Sets 2
Dictionaries 3
Comprehensions 2
Functions 4
Advanced Functions 2
Recursion 2
Exception Handling 4
File Handling 4
Modules 3
Standard Library 6
OOP 5
Advanced OOP 5
Iterators and Generators 3
Decorators 2
Context Managers 1
Descriptors and Dataclasses 2
Python Internals 4
Concurrency 4
Regular Expressions 3
Serialization 2
Command Line Python 2
Testing and Debugging 3
Type Hints 2
Performance 3
Python Security 2
DSA with Python 6
Notes
Python
async and await
Asynchronous code runs many waiting tasks in one thread. A coroutine pauses at await, the event loop runs something else, and thousands of tasks becom...
Python
The GIL: What It Is and Why It Exists
CPython allows only one thread to execute bytecode at a time. That single lock explains why threads help with waiting and never with computation.
Python
Regular Expression Fundamentals
A pattern describes a shape of text. Character classes say what, quantifiers say how many, anchors say where, and groups say which part to keep.
Python
The re Module
Seven functions cover every regex job: search, match, fullmatch, findall, finditer, sub and split. Knowing which one to reach for is most of the skill...
Python
Text Processing with Regular Expressions
Cleaning, extracting, validating and transforming real text - the jobs regular expressions were made for, worked through end to end.
Python
JSON in Python
JSON is the standard way to move structured data between programs. Four functions cover it, and the type mapping has a few asymmetries worth knowing.
Python
Serialization and pickle
pickle stores almost any Python object exactly as it was. It is powerful, Python only, and unsafe on data you did not create yourself.
Python
Command Line Arguments and Exit Codes
sys.argv holds what the user typed, stdout carries results, stderr carries problems, and the exit code tells the shell whether it worked.
Python
Building Command Line Tools with argparse
argparse turns a description of your options into a parser, a validator and a help page. It is the standard way to give a Python script a real interfa...
Python
Testing with unittest
A test is a small program that checks another program. unittest ships with Python, finds your tests automatically and tells you exactly what broke.
Python
Debugging: Tracebacks, pdb and Strategy
Reading the traceback, forming a hypothesis and checking it. The debugger is a tool; the method is what actually finds the bug.