Bootcamp: Python Software Engineering & Automation

Learn Python from basics to advanced including web development, data science, and automation.

12 Weeks
Online / Offline
English & Tamil
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Course Curriculum

1. Introduction to Python

  • What is Python & its applications (Web, Data Science, Automation, AI)
  • Installing Python & IDE setup (VS Code, PyCharm, Jupyter Notebook)
  • Python syntax, keywords, and indentation
  • Variables, data types (int, float, string, bool)
  • Input/output functions (input(), print())

2. Control Flow

  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Loop control statements (break, continue, pass)
  • List & dictionary comprehensions

3. Data Structures

  • Lists, tuples, sets, dictionaries
  • Operations: indexing, slicing, adding, removing
  • Nested data structures
  • Iteration techniques

4. Functions & Modules

  • Defining functions, parameters, return values
  • Default, keyword, and variable-length arguments
  • Lambda functions
  • Modules & Packages
  • Python standard library overview

5. Object-Oriented Programming (OOP)

  • Classes and objects
  • Attributes & methods
  • Constructors (__init__)
  • Inheritance, polymorphism, encapsulation, abstraction
  • Special methods (__str__, __repr__, __len__)

6. File Handling

  • Reading/writing files (txt, csv)
  • Working with JSON
  • File operations (open(), close(), with context manager)

7. Exception Handling

  • try, except, else, finally
  • Raising exceptions (raise)
  • Custom exceptions

8. Advanced Python

  • Decorators
  • Generators & Iterators
  • Context managers (with)
  • Regular expressions (re module)
  • Working with dates and times (datetime module)

9. Python Libraries

  • NumPy (arrays, matrices, mathematical operations)
  • Pandas (DataFrames, CSV/Excel handling, data manipulation)
  • Matplotlib & Seaborn (data visualization)
  • Requests (HTTP requests)
  • BeautifulSoup / Scrapy (web scraping)

10. Python Web Development

  • Flask: routes, templates, forms, REST APIs
  • Django: models, views, templates, admin panel, ORM
  • Authentication & authorization
  • Database integration (SQLite, MySQL, PostgreSQL)

11. Python for Data Science / AI (Optional)

  • Jupyter Notebook basics
  • Data cleaning & preprocessing
  • Machine learning with scikit-learn
  • TensorFlow / PyTorch basics for AI

12. Testing & Best Practices

  • Unit testing (unittest, pytest)
  • Debugging techniques
  • PEP 8 coding standards
  • Logging & exception handling in real applications

Take the Next Step in Your Career

Join our comprehensive Bootcamp: Python Software Engineering & Automation program and gain real-world skills that employers demand.