Course Includes:
- Price: ₹ 14,999 ₹ 20,000
- Instrutor: Sweta R
- Days: Monday - Friday
- Duration: 45 Hours
- Enrolled: 1 students
- Articles: 1 Article
- Language: English
- Certificate: Yes
Python Programming & Applications
- Build a strong foundation in Python programming, data types, control flow, and OOP.
- Work on real-world projects in data science, automation, and web development.
- Master core libraries like NumPy, Pandas, Matplotlib, and Selenium.
- Learn database integration, API handling, and web app development with Flask/Django.
- Gain practical exposure to Machine Learning, Big Data, and Cloud (AWS, DevOps) tools.
- Apply Python in specialized domains such as AI, cybersecurity, and financial modeling.
Course Curriculum
Module 1. Introduction to Python
- History & Features of Python
- Installing Python & IDEs (IDLE, VS Code, PyCharm, Jupyter)
- First Python Program (Hello World)
- Python Execution Model
- Comments & Documentation Strings
- Input & Output Functions
Module 2. Python Basics
- Variables, Constants & Data Types
- Type Conversion (Implicit & Explicit)
- Operators (Arithmetic, Logical, Comparison)
- Assignment, Membership, Identity & Bitwise Operators
- Expressions & Operator Precedence
Module 3. Control Flow
- Conditional Statements (if, if-else, elif)
- Loops (for, while)
- Nested Loops
- Loop Control Statements (break, continue, pass)
Module 4. Data Structures
- Strings (Indexing, Slicing, Methods)
- Lists (Operations, Methods, Comprehensions)
- Tuples (Packing & Unpacking)
- Dictionaries (Key-Value Pairs)
- Sets & Frozensets
Module 5. Functions & Modular Programming
- Defining & Calling Functions
- Function Parameters & Arguments
- Return Statements
- Scope (Local, Global, Nonlocal)
- Lambda Functions
- Recursion
- Modules & Packages
Module 6. File Handling
- File Modes
- Reading & Writing Files
- Working with CSV & JSON
- Context Manager (with statement)
Module 7. Exception Handling
- Errors vs Exceptions
- try, except, else, finally
- Raising Exceptions
- Custom Exception Classes
Module 8. Object-Oriented Programming (OOP)
- Classes & Objects
- Attributes & Methods
- Constructor (__init__)
- Encapsulation
- Inheritance
- Polymorphism
- Abstraction
Module 9. Advanced Python Concepts
- Iterators & Generators
- Closures
- Context Managers
- Regular Expressions
- Date & Time Handling
- Logging & Debugging
Module 10. Python Data Science & Libraries
- NumPy Arrays & Operations
- Pandas DataFrames & Data Cleaning
- Matplotlib & Seaborn Visualization
Module 11. Python for Automation & Scripting
- OS & Subprocess Modules
- Web Scraping (Requests, BeautifulSoup)
- Browser Automation with Selenium
- Working with APIs
Module 12. Databases with Python
- SQLite, MySQL, PostgreSQL
- Executing SQL Queries
- ORM with SQLAlchemy
Module 13. Web Development (Basics)
- Flask & Django Basics
- REST APIs
- Routing & Templates
- Sessions & Forms
Module 14. Testing in Python
- Unit Testing with unittest
- PyTest Framework
- Mocking & Test Coverage
Module 15. Advanced Topics
- Multithreading & Multiprocessing
- Async Programming (asyncio)
- Memory Management
- Virtual Environments
- Packaging & Distribution
Module 16. Specialized Domains
- Machine Learning & AI
- Big Data (PySpark, Dask)
- Cloud & DevOps (AWS, CI/CD)
- Cybersecurity Applications
- Finance & Quantitative Modeling
Course Rating
5.00 average rating based on 7 rating
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