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Python

Welcome to the Python Programming Course! Discover the fundamentals of Python, a powerful and versatile programming language. Learn about variables, control flow, data structures, functions, and object-oriented programming. Gain the skills to explore web development, data science, and machine learning with Python.

Beginner Level:

Introduction to Python Programming

Variables, Data Types, and Operators

Control Flow Statements (If/Else, While, For)

Lists, Tuples, and Dictionaries

Functions and Modules

File Input/Output

  • Reading and Writing Text Files
  • File Modes and Permissions
  • Handling Exceptions with Files

Exception Handling

  • What are Exceptions?
  • Handling Exceptions with try/except
  • Raising Exceptions
  • Exception Hierarchy

Introduction to Object-Oriented Programming

  • What is OOP?
  • Classes and Objects
  • Attributes and Methods
  • Encapsulation
  • Abstraction

Working with Classes and Objects

  • Creating and Using Objects
  • Constructors and Destructors
  • Class Variables and Instance Variables
  • Properties and Getters/Setters

Inheritance and Polymorphism

  • Inheritance and Subclasses
  • Overriding Methods
  • Polymorphism and Method Overloading
  • Polymorphism and Method Overriding

Intermediate Level:

Advanced OOP Concepts (Abstract Classes, Interfaces, etc.)

  • Abstract Classes and Interfaces
  • Method Overriding vs Method Overloading
  • Multiple Inheritance and Method Resolution Order
  • Class Methods and Static Methods

Regular Expressions

  • What are Regular Expressions?
  • Basic Regular Expressions Syntax
  • Regular Expressions Methods and Functions
  • Advanced Regular Expressions

Debugging and Testing

  • Debugging Techniques and Tools
  • Testing Principles and Strategies
  • Unit Testing with PyTest
  • Test-Driven Development (TDD)

Working with Libraries and Frameworks

  • Introduction to Python Libraries and Frameworks
  • Installing and Using Python Libraries and Frameworks
  • Popular Libraries and Frameworks (NumPy, Pandas, Flask, Django)

Database Connectivity (SQL, NoSQL)

  • Introduction to Databases
  • SQL Databases (MySQL, SQLite, PostgreSQL)
  • NoSQL Databases (MongoDB, Cassandra)
  • Connecting to Databases with Python

GUI Programming (Tkinter, PyQt)

  • Introduction to GUI Programming
  • GUI Programming with Tkinter
  • GUI Programming with PyQt
  • Event-Driven Programming

Web Scraping with Beautiful Soup

  • What is Web Scraping?
  • Scraping Data from HTML Pages
  • Advanced Web Scraping Techniques
  • Legal and Ethical Considerations

Introduction to Data Science and Analysis

  • What is Data Science?
  • Data Exploration and Visualization
  • Data Wrangling and Cleaning
  • Statistical Analysis and Inference

Data Visualization with Matplotlib

  • Introduction to Data Visualization
  • Basic Plotting with Matplotlib
  • Advanced Plotting Techniques
  • Customizing Plots

Introduction to Machine Learning

  • What is Machine Learning?
  • Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
  • Machine Learning Algorithms and Techniques
  • Applying Machine Learning in Python

Expert Level:

Advanced Python Techniques and Best Practices

  • Functional Programming Concepts
  • Decorators and Generators
  • Context Managers and the with Statement
  • Advanced Error Handling Techniques
  • Concurrency and Parallelism

Advanced Web Development with Python

  • Web Frameworks and MVC Architecture
  • Authentication and Authorization
  • Advanced Web Development Techniques (Caching, Compression, etc.)
  • RESTful APIs and Web Services
  • Websockets and Real-Time Applications

Data Science and Analysis with Python

  • Advanced Data Wrangling and Cleaning Techniques
  • Time Series Analysis and Forecasting
  • Data Mining and Feature Engineering
  • Machine Learning Pipeline and Optimization
  • Big Data Processing with Apache Spark

Natural Language Processing with Python

  • Introduction to NLP
  • Preprocessing Text Data
  • Text Classification and Sentiment Analysis
  • Named Entity Recognition and Topic Modeling
  • Word Embeddings and Deep Learning for NLP

Advanced Machine Learning Techniques

  • Deep Learning with TensorFlow and Keras
  • Reinforcement Learning and Robotics
  • Neural Architecture Search and AutoML
  • Transfer Learning and Multi-Task Learning
  • GANs and Other Advanced Deep Learning Concepts

Advanced Computer Vision with Python

  • Introduction to Computer Vision
  • Image Processing and Feature Extraction
  • Object Detection and Recognition
  • Image Segmentation and Classification
  • Convolutional Neural Networks for Computer Vision

Cloud Computing and Deployment

  • Cloud Computing Concepts and Architecture
  • Deploying Python Applications to the Cloud
  • AWS, Azure, and Google Cloud Platform Services
  • Docker and Kubernetes for Containerization
  • DevOps and Continuous Integration/Continuous Deployment (CI/CD)

Cybersecurity and Ethical Hacking with Python

  • Introduction to Cybersecurity and Ethical Hacking
  • Networking and TCP/IP Protocols
  • Penetration Testing and Vulnerability Scanning
  • Cryptography and Digital Forensics
  • Python Tools and Libraries for Security