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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