Description

 Course Description:

This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.cy and a passion for learning are all you need to get started.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After  Python:

• Python Developer
• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence
• Web Developer
• DevOps Engineer
• Software Tester

Essential Skills you will Develop Python:

• Data Structures and Algorithms
• Object-Oriented Programming
• File Handling and Exception Management
• Working with Libraries and Modules
• Data Analysis and Visualization

Tools Covered:

• Jupiter Notebook – Interactive coding, data analysis, and visualization.
• PyCharm – Professional IDE for developing Python applications.
• Visual Studio Code (VS Code) – Lightweight code editor with Python support.
• Libraries for Data Handling:
• Jumpy – Numerical computing and array operations.
• Pandas – Data manipulation and analysis.

Syllabus:

Module 1: Introduction to Python History & Features of Python Setting up Python environment Python IDEs (IDLE VS Code) Writing and executing first Python program Comments and indentation Data types & Variables Input & Output operations.

Module 2: Operators and Expressions Arithmetic, Relational, Logical, Bitwise, Assignment operators Operator precedence Type conversion and casting
Expressions and evaluation.

Module 3: Control Flow Statements Conditional statements (if, if-else, if-elif-else)
Loops: for, while, break, continue, pass Looping patterns and examples.

Module 4: Data Structures in Python Strings and String operations Lists, Tuples, Sets, Dictionaries Comprehensions (List, Set) Nested data structures Iterating over collections.

Module 5: Functions and Modules Defining and calling functions Function arguments – default, keyword, variable-length lambda, map, filter, reduce Recursion
Modules and packages import, from…import, as Creating custom modules.

Module 6: File Handling Reading and writing files (Text & Binary) Working with with and open() File operations: read, write, append Handling CSV and JSON files.

Module 7: Exception Handling Errors and exceptions try, except, finally, else blocks
Raising exceptions Custom exceptions.

Module 8: Object-Oriented Programming (OOP) Classes and objects constructor
Attributes and methods Inheritance, Polymorphism Encapsulation and Abstraction
Special methods.

Module 9: Advanced Python Concepts Iterators and Generators Decorators and Context Managers Regular Expressions Date and Time module Lambda and functional programming.

Module 10: Projects & Certification Exam Preparation Mini Projects (e.g., Calculator, To-Do App, Web Scraper) Practice problems Mock certification exam Tips for Python Certification (e.g., PCAP, PCEP by Python Institute).

Industry Projects:

• Web Development
• Data Science & Analytics
• Machine Learning
• Automation & Scripting
• Cybersecurity

Who is this program for?

• Beginners in Programming
• Students and Graduates
• Working Professionals
• Data Analysts & Scientists
• Web Developers

How To Apply

Mobile: 9100348679

Email: coursedivine@gmail.com