Master Python with FastAPI

History and Evolution of Python
Python vs Other Programming Languages
Understanding Python’s Execution Model (Interpreted vs Compiled Languages)

Mutable vs Immutable Data Types
Dynamic Typing and Type Checking
Common Built-in Functions (len, type, id, isinstance)
Python Comments and Docstrings

Nested Loops and Loop Optimizations
else Clause in Loops
Looping Idioms (e.g., enumerate, zip
Handling Infinite Loops

Multi-dimensional Lists
Sorting and Searching in Lists
Using Dictionaries for Fast Lookups
Set Operations (Union, Intersection, Difference)
Understanding frozen set

Variable Scope and Lifetime
*args and **kwargs Explained
Recursive Functions and Recursion Limits
Partial Functions and Currying (functools.partial)
Functions as First-class Objects (Passing and Returning Functions)

Import System Deep Dive (import, from, as)
Understanding _name_ == “_main_”
Organizing Code with Packages
Exploring Key Standard Library Modules (os, sys, math, random, etc.)

Composition vs Inheritance
Understanding Class and Static Methods (@classmethod, @staticmethod)
Private and Protected Members (, _)
Class Variables vs Instance Variables
Advanced Magic Methods (_getitem, __setitem, __iter, __next_)

Working with Binary Files
Context Managers for File Operations (with statement)
Reading Large Files Efficiently (Using Generators)
File Paths and OS Compatibility (os.path, pathlib)

Catching Multiple Exceptions in One Block
Using else and finally Clauses in Exception Handling
Logging Errors (logging module)
Custom Exceptions with Inheritance

Understanding Python Internals (CPython, PyPy, Jython)
Exploring Python’s Memory Management (Garbage Collection, del Statement)
Comprehensions (List, Dictionary, Set, and Nested Comprehensions)
Functional Programming Concepts (Map, Filter, Reduce)
Decorators with Arguments
Using dataclasses for Simple Classes

Creating Custom Iterators (_iter_ and _next_)
Generator Expressions
Using yield for Lazy Evaluation
Chaining Iterators with itertools

Using datetime Module
Formatting and Parsing Dates (strftime, strptime)
Calculating Differences Between Dates
Working with Timezones (pytz, dateutil)

Basics of Pattern Matching (re.match, re.search)
Working with Groups and Quantifiers
Common Use Cases (Validating Emails, Parsing Logs)
Optimizing Regex Performance

Stacks and Queues with collections
Heaps with heaps
Graphs and Trees (Introduction)
Handling Large Datasets with array and NumPy

Consuming APIs with requests
Parsing JSON Responses (json Module)
Error Handling in API Requests

Understanding the Global Interpreter Lock (GIL)
Using threading for Concurrent Execution
Process-based Parallelism with multiprocessing
Thread-safe Queues for Communication

Writing Unit Tests with unittest
Using pytest for Simple and Advanced Tests
Debugging Techniques (pdb, logging)

Installing and Managing Libraries with pip
Virtual Environment Management with venv
Exploring Popular Python Libraries (e.g., numpy, pandas)