Python Tutorial Topics (Basic → Advanced) By Ethicalcircuits

Python Tutorial Topics

What is Python?

Python is a high-level, interpreted programming language known for its readability and versatility. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in various fields such as web development, data analysis, artificial intelligence, scientific computing, and more.

Python in AI

Python is a popular choice for artificial intelligence (AI) and machine learning (ML) due to its simplicity and the availability of numerous libraries and frameworks. Libraries such as TensorFlow, Keras, PyTorch, and scikit-learn provide powerful tools for building and training AI models. Python's extensive support for data manipulation and analysis through libraries like pandas and numpy makes it an ideal language for AI development.

Section 1: Python Basics

Introduction to Python

What is Python? Features, Applications, and Why Learn Python?

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Setting Up Python

Installing Python, IDLE, and VS Code/PyCharm. Writing Your First "Hello, World!" Program.

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Python Syntax & Variables

Indentation, Comments, Variables, Naming Conventions.

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Data Types

Integers, Floats, Strings, Booleans, type(), Type Casting.

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Operators

Arithmetic, Comparison, Logical, Assignment, Membership.

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Control Flow

if-elif-else, for loops, while loops, break, continue, pass.

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Data Structures

Lists, Tuples, Sets, Dictionaries (CRUD operations).

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Functions

Defining Functions, Parameters, return, Lambda Functions.

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Section 2: Intermediate Python

File Handling

Reading/Writing Text, CSV, and JSON Files.

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Exception Handling

try, except, finally, Custom Exceptions.

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Modules & Packages

Importing Modules, Creating Packages, __init__.py.

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Object-Oriented Programming (OOP)

Classes, Objects, Inheritance, Polymorphism, Encapsulation.

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Iterators & Generators

__iter__(), __next__(), yield.

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Decorators

Function Decorators, Class Decorators.

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Section 3: Advanced Python

Regular Expressions

re Module, Pattern Matching.

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Working with Databases

SQLite, MySQL, ORMs (SQLAlchemy).

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Multithreading & Multiprocessing

Threads vs. Processes, threading, multiprocessing.

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Web Scraping

requests, BeautifulSoup, Scrapy.

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APIs & RESTful Services

Consuming APIs with requests, Building APIs with Flask.

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GUI Development (Tkinter)

Windows, Widgets, Event Handling.

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Data Analysis Basics

pandas, numpy, matplotlib.

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Introduction to Machine Learning

scikit-learn, Simple Regression Example.

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Web Development (Django/Flask)

Building a Basic Web App.

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Deployment

Docker, Heroku, AWS.

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Testing & Debugging

pytest, unittest, Debugging with pdb.

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Thank you for exploring Python with us! We hope these tutorials help you on your coding journey. For more tutorials and resources, visit our website regularly. Happy Coding!