Python Course Hub | Fakhruddin Khambaty's Learning Hub

📈 Course Progress

95% Complete

15 sessions: Python basics, NumPy, Pandas, Data Viz, Web Scraping, Assignments & practice.

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Module 1: Foundation

Variables, data types, operators, and loops. Build your Python basics.

Session 1: Introduction to Python Session 2: Data Types Session 3: Operators & Loops

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Module 2: Data Structures

Lists, tuples, sets, and dictionaries. Organize and manage collections.

Session 4: Lists Session 5: Tuples, Sets & DictsPro

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Module 3: Functions

Write reusable code with parameters, return values, and advanced patterns.

Session 6: Functions Part IPro Session 7: Functions Part IIPro

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Module 4: OOP & NumPy

Classes, objects, and numerical computing with NumPy and comprehensions.

Session 8: Object-Oriented ProgrammingPro Session 9: NumPy & ComprehensionsPro

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Module 5: Pandas

DataFrames, Series, and data manipulation for real-world data.

Session 10: Pandas Part I Session 11: Pandas Part IIPro

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Module 6: Data, APIs & Visualization

APIs, SQL, and beautiful charts with Matplotlib and Seaborn.

Session 12: APIs & SQLPro Session 13: Data Visualization Session 14: Enhanced VisualizationPro Session 15: Web Scraping

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Module 7: Assignments & Practice

Hands-on questions, assignment hub, and complete course overview.

Student: Practice QuestionsPro Assignment Hub (Instructor)Pro Complete Course OverviewPro Assignment 1: StringsPro Assignment 2: LoopsPro Assignment 3: Data StructuresPro Assignment 4: FunctionsPro Assignment 5: AdvancedPro