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Python Learning Roadmap

A structured progression for mastering Python, focusing on the core concepts needed for Data Engineering and scripting.

Syntax & Basics

The foundation of Python programming

Variables & Data TypesOperatorsStrings & FormattingLists & TuplesDictionaries & SetsType Casting

Control Flow

Directing the logic of your code

if / elif / elsefor loopswhile loopsbreak / continueList ComprehensionsDictionary Comprehensions

Functions & Scope

Modular and reusable code

def keywordArguments (*args, **kwargs)Return valuesLambda FunctionsVariable Scope (Global vs Local)

Object-Oriented Programming (OOP)

Structuring code with objects

Classes & Objectsself keyword__init__ methodInheritancePolymorphismEncapsulationMagic Methods

Modules & Packages

Organizing and importing code

import statementfrom ... importVirtual Environments (venv)pip & requirements.txtStandard Library (os, sys, datetime)

Error Handling & I/O

Dealing with data and failures

try / except / finallyRaising ExceptionsReading/Writing Files (open)Context Managers (with statement)JSON Parsing

Data Engineering specifics

Advanced concepts for data work

Generators (yield)IteratorsDecoratorsMultiprocessing & ThreadingRequests (API consumption)Pandas Basics