Certification in Python

Python is a high-level, interpreted, general-purpose programming language known for its simplicity, readability, and versatility. It was created by Guido van Rossum and released in 1991.

Python is widely used in fields like web development, data science, machine learning, artificial intelligence, automation, software development, and more due to its easy syntax and large standard library.

Key Features of Python

• Easy to Learn and Read: Syntax is similar to plain English
  
  

• Interpreted Language: No need to compile, executed line by line
  
  

• Object-Oriented: Supports OOP principles like classes and inheritance
  
  

• Dynamic Typing: No need to declare data types
  
  

• Extensive Libraries: NumPy, Pandas, Matplotlib, Django, Flask, TensorFlow, etc.
  
  

• Portable: Write once, run anywhere
  
  

• Versatile: Used in web apps, automation, data analysis, AI, game dev, etc.
  
  

 Applications of Python

• Web development (using Django, Flask)
  
  

• Data Science & Machine Learning (using Pandas, NumPy, Scikit-learn)
  
  

• Automation & Scripting
  
  

• Game development
  
  

• GUI applications
  
  

• Internet of Things (IoT)

Job after Python:

Python Developer – Build apps/scripts.

Data Analyst – Analyze data using Python.

Machine Learning Engineer – AI models in Python.

Web Developer – Create websites (Django/Flask).

Automation Tester – Write test scripts.

Complete Python Programming Syllabus

1. Introduction to Python

• History of Python
  
  

• Features and applications
  
  

• Python versions and installation
  
  

• Python IDEs: IDLE, VS Code, PyCharm
  
  

• Writing and executing first Python program
  
  

• Understanding Python script structure
  
  

2. Python Basics

• Keywords and identifiers
  
  

• Variables and data types
  
  

• Operators:
  
  

  • Arithmetic
    
    

  • Relational
    
    

  • Logical
    
    

  • Assignment
    
    

  • Bitwise
    
    

  • Membership and Identity
    
    

• Input/output functions: input(), print()
  
  

• Type conversion and typecasting
  
  

• Comments and indentation
  
  

3. Control Flow Statements

• Conditional statements:
  
  

  • if, if-else, elif
    
    

• Loops:
  
  

  • for, while
    
    

• Loop control statements:
  
  

  • break, continue, pass
    
    

• Nested loops and conditions
  
  

4. Functions

• Defining and calling functions
  
  

• Arguments and return values
  
  

• Types of arguments:
  
  

  • Positional, keyword, default, variable-length (*args, **kwargs)
    
    

• Lambda (anonymous) functions
  
  

• Scope of variables: local, global, nonlocal
  
  

• Recursion
  
  

5. Data Structures

• Strings:
  
  

  • String operations and methods
    
    

  • String slicing, formatting
    
    

• Lists:
  
  

  • Creating and manipulating lists
    
    

  • List methods and comprehensions
    
    

• Tuples:
  
  

  • Properties and methods
    
    

• Sets:
  
  

  • Set operations and methods
    
    

• Dictionaries:
  
  

  • Key-value pairs
    
    

  • Dictionary methods
    
    

6. Modules and Packages

• Importing built-in modules: math, random, datetime, etc.
  
  

• Creating and importing user-defined modules
  
  

• __name__ == "__main__" concept
  
  

• Python Package Index (PyPI) and pip
  
  

7. File Handling

• Opening and closing files
  
  

• Reading and writing text files
  
  

• Working with binary files
  
  

• with statement (context manager)
  
  

• File methods: read(), readline(), write(), seek(), etc.
  
  

8. Exception Handling

• Types of exceptions
  
  

• try, except, else, finally blocks
  
  

• Catching multiple exceptions
  
  

• Raising exceptions
  
  

• Custom exception classes
  
  

9. Object-Oriented Programming (OOP) in Python

• Class and object
  
  

• Constructor: __init__()
  
  

• Instance vs class variables
  
  

• Inheritance (Single, Multilevel, Multiple)
  
  

• Polymorphism and method overriding
  
  

• Encapsulation and data hiding
  
  

• super() function
  
  

• Magic methods (__str__, __len__, etc.)
  
  

10. Advanced Python Topics

• Comprehensions (list, set, dict)
  
  

• Generators and Iterators
  
  

• Decorators
  
  

• Closures
  
  

• zip(), map(), filter(), reduce()
  
  

• Working with command-line arguments
  
  

11. Working with Libraries

• NumPy (Basics of arrays)
  
  

• Pandas (DataFrames, Series – optional/basic)
  
  

• Matplotlib (Basic plotting – optional)
  
  

12. Introduction to GUI Programming (Optional)

• Tkinter basics
  
  

• Creating simple GUI apps
  
  

• Widgets: Button, Label, Entry, etc.
  
  

• Layout management
  
  

13. Introduction to Web Development with Python (Optional)

• Basics of Flask or Django
  
  

• Routing and templates
  
  

• Handling forms and HTTP requests
  
  

14. Project Work

• Final project (text-based or GUI-based)
  
  

  • Examples:
    
    

    • Student Record Management
      
      

    • Simple Calculator
      
      

    • Quiz Game
      
      

    • Expense Tracker
      
      

    • Weather App (API-based)
      
      

Duration of Course  : 2 months

Fee : 6000/-

Contact for Admission

Siddharth  Sharma

HOD, Department of Computer Engineering

Concept IT Solutions, Pune

Call:7219116540