About Course
Module 1: Introduction to Python
- Understanding the fundamentals of Python programming language.
- Overview of Python syntax, data types, and variables.
- Setting up Python development environment: installing Python and configuring IDE.
Module 2: Python Basics
- Exploring basic Python data structures: lists, tuples, dictionaries, and sets.
- Understanding control flow in Python: if statements, loops, and conditional expressions.
- Working with functions and modules in Python.
Module 3: Object-Oriented Programming (OOP) in Python
- Introduction to object-oriented programming concepts.
- Defining classes and objects in Python.
- Implementing inheritance, encapsulation, and polymorphism in Python.
Module 4: File Handling and Input/Output (I/O)
- Reading from and writing to files in Python.
- Working with different file formats (text files, CSV files, JSON files, etc.).
- Processing file data using file handling techniques in Python.
Module 5: Error Handling and Exception Handling
- Understanding Python exceptions and error types.
- Implementing error handling using try-except blocks.
- Handling exceptions gracefully and debugging Python code.
Module 6: Advanced Data Structures and Algorithms
- Exploring advanced data structures in Python: stacks, queues, heaps, and graphs.
- Implementing common algorithms and data manipulation techniques in Python.
- Analyzing algorithm complexity and performance in Python.
Module 7: Python Libraries and Frameworks
- Introduction to popular Python libraries and frameworks (e.g., NumPy, Pandas, Matplotlib, Flask, Django).
- Exploring data analysis, visualization, web development, and other domains with Python libraries.
Module 8: Web Scraping and Automation
- Scraping web data using Python libraries like BeautifulSoup and Scrapy.
- Automating repetitive tasks with Python scripts and cron jobs.
- Building web scraping and automation projects in Python.
Module 9: Database Management with Python
- Connecting to databases and executing SQL queries in Python.
- Integrating Python with relational databases (MySQL, PostgreSQL, SQLite).
- Working with non-relational databases (MongoDB) and NoSQL data models.
Module 10: Building Projects and Real-World Applications
- Applying Python skills to build real-world projects and applications.
- Working on project ideas spanning different domains (web development, data analysis, automation, etc.).
- Showcasing completed projects and discussing best practices for project development.
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