Python
Generators and yield
A generator function produces values one at a time and pauses between them, keeping all its local state. It is the easiest way to write an iterator an...
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
Lazy Evaluation and Streaming Data
Lazy means computing a value only when it is asked for. Python uses it throughout, and using it deliberately is what makes a program handle data large...
Python
Decorators: Wrapping Functions
A decorator takes a function, wraps it in another function, and gives the wrapper the original name. The @ symbol is shorthand for exactly that.
Python
Practical Decorator Patterns
Registries, access control, deprecation, rate limiting and instrumentation - the decorator shapes that appear in real codebases, and how to test them.
Python
Context Managers and the with Statement
A context manager guarantees that setup and cleanup both happen, whatever occurs in between. with is how you use one, and two methods are all it takes...
Python
Descriptors: The Machinery Behind Attributes
A descriptor is an object that controls what happens when an attribute is read, written or deleted. property, methods, classmethod and staticmethod ar...
Python
Dataclasses
A dataclass generates __init__, __repr__ and __eq__ from field declarations. It removes the boilerplate from every class whose main job is holding dat...
Python
Objects, References and Identity
Everything in Python is an object with a type, an identity and a value. Names are labels bound to objects, and almost every surprising behaviour follo...
Python
Shallow and Deep Copy
Assignment shares, a shallow copy duplicates one level, and a deep copy duplicates everything. Choosing the wrong one is one of the most common source...
Python
Reference Counting and Garbage Collection
Python frees an object the moment nothing refers to it. A second collector exists solely to find reference cycles, which counting alone can never recl...
Python
Bytecode and the Execution Model
Compilation, the code object, the stack machine and the frame. A closer look at what the interpreter is actually doing while your program runs.