Course Chapters

Course Chapters

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Introduction to Python

Overview of Python language, features, history, versions, installation, syntax basics, keywords, identifiers, comments, indentation, interpreter and first program.

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Variables, Data Types & I/O

Variables, assignments, naming rules, built-in data types, type casting, constants, user input methods, and output formatting.

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Operators & Expressions

Arithmetic, relational, logical, assignment, bitwise, membership, identity operators, precedence, associativity, and expression evaluation.

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Conditional Statements

Decision making using if, if-else, if-elif-else, nested conditions, ternary operator with practical examples.

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Loops and Iterations

Iteration using while and for loops, range function, nested loops, loop control statements, and else with loops.

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Strings and Handling

String creation, indexing, slicing, methods, formatting, concatenation, immutability, searching, comparison, and escape characters.

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Lists and Tuples

Working with lists and tuples, indexing, slicing, updating, methods, nested lists, iteration, packing, unpacking, and comparison.

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Dictionaries and Sets

Dictionary and set creation, accessing elements, methods, nested structures, iteration, set operations, frozen sets.

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Functions and Modules

Defining functions, arguments, return values, lambda, recursion, scope, modules, built-in and custom modules.

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File Handling

File operations including read, write, append, file modes, with statement, CSV handling, file existence, and exceptions.

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Exception Handling

Understanding errors and exceptions, try-except blocks, multiple exceptions, finally, and custom exceptions.

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Object-Oriented Programming

Classes, objects, constructors, variables, methods, inheritance, polymorphism, encapsulation, abstraction, super, dunder methods.

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Modules and Packages

Creating and using packages, importing modules, virtual environments, built-in packages, installing external libraries.

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Regular Expressions

Regex basics, re module, pattern matching, metacharacters, special sequences, practical regex examples and projects.

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Advanced Python Concepts

Iterators, generators, decorators, closures, comprehensions, map, filter, reduce, zip, enumerate, type hints, memory management.

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Working with Libraries

NumPy fundamentals, mathematical operations, Pandas series and dataframes, data cleaning, aggregation, Matplotlib visualization.

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Database Connectivity

Connecting Python with MySQL and SQLite, executing queries, fetching records, transactions, exception handling, mini DB project.

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File Formats and APIs

Handling JSON, CSV, XML files, API basics, fetching data using requests, parsing responses, API dashboard project.

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GUI Programming

GUI development using Tkinter, widgets, layouts, event handling, calculator app, form app, snake game projects.

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Data Science & Machine Learning Intro

Introduction to data science, visualization, machine learning basics, linear regression, dataset handling, model training.

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Web Development with Python

Flask and Django overview, Flask app setup, routing, templates, form handling, sessions, database integration.

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Project & Practice

Hands-on mini projects including calculator, to-do list, student management, weather app, quiz system, final exam portal.

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