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Duration
2 Months
Mode
Classroom
Fee
₹11,800

Python Programming Course Overview

The Python Programming Course at RIA Institute of Technology, Marathahalli, Bangalore, is designed for students, graduates, and working professionals who want to build a strong foundation in programming and software development. This industry-oriented course covers Core Python, Object-Oriented Programming (OOP), file handling, exception handling, modules, APIs, and real-world application development.

With practical coding sessions, hands-on assignments, and real-world projects, learners will develop problem-solving skills and gain the confidence to build Python applications. The course also includes interview preparation and placement assistance to help students start their careers as Python Developers.


Course Highlights

Feature
Modules8
Hours of Training60+
Hands-on Labs15+
Capstone Projects3+
Libraries & Tools20+


What You Will Learn

  1. Introduction to Python Programming
  2. Python Installation & Development Environment
  3. Variables and Data Types
  4. Operators and Expressions
  5. Conditional Statements
  6. Loops and Iterations
  7. Functions and Modules
  8. Strings, Lists, Tuples, Sets & Dictionaries
  9. Object-Oriented Programming (OOP)
  10. File Handling
  11. Exception Handling
  12. Regular Expressions
  13. Working with APIs
  14. Python Libraries
  15. Database Connectivity (MySQL)
  16. Mini Projects & Real-Time Applications
  17. Resume Building & Interview Preparation


Who Should Enroll?

  1. Engineering Students
  2. BCA, MCA, B.Sc. & M.Sc. Students
  3. Software Developers
  4. IT Professionals
  5. Data Science Aspirants
  6. Automation Testing Aspirants
  7. Fresh Graduates
  8. Working Professionals
  9. Anyone interested in Programming


Career Opportunities

After completing this course, learners can apply for various software development and programming roles across startups, IT companies, product-based organizations, and multinational companies.

  1. Python Developer
  2. Software Developer
  3. Backend Developer
  4. Automation Engineer
  5. Data Analyst
  6. Data Science Associate
  7. Machine Learning Engineer (Entry Level)
  8. Web Developer
  9. API Developer
  10. Application Developer


Why Choose This Course?

  1. 100% Practical Coding Sessions
  2. Industry-Oriented Curriculum
  3. Hands-on Projects
  4. Experienced Trainers
  5. Real-Time Assignments
  6. Database & API Integration
  7. Resume Building Support
  8. Mock Interviews
  9. Placement Assistance
  10. Course Completion Certificate


By the end of this Python Programming Course, you will be able to write efficient Python programs, develop real-world applications, work with databases and APIs, and build a strong foundation for careers in Software Development, Data Science, Automation Testing, Machine Learning, and Web Development.


Course Curriculum

Python Basics & Environment Setup - 1 Week
  • Introduction to Python
    What is Python? History & Applications
    Installing Python 3.x & VS Code / PyCharm
    Python IDLE & Interactive Shell
    First Program: Hello World
  • Variables & Data Types
    int, float, str, bool, NoneType
    Type Casting (int(), str(), float())
    Input / Output: input(), print(), f-strings
  • Operators
    Arithmetic, Assignment, Comparison Operators
    Logical Operators (and, or, not)
    Bitwise & Identity Operators
  • Comments, Indentation & Python Style Guide (PEP 8)
Control Flow, Loops & Functions - 1 Week
  • Conditional Statements
    if, elif, else
    Nested Conditions & Ternary Operator
  • Loops
    for Loop with range(), enumerate(), zip()
    while Loop, break, continue, pass
    Nested Loops & Loop Patterns
    List Comprehensions & Generator Expressions
  • Functions
    Defining & Calling Functions, return Statement
    Default Arguments, *args, **kwargs
    Lambda Functions & Anonymous Functions
    map(), filter(), reduce()
    Recursion with Examples (Factorial, Fibonacci)
  • Variable Scope: Local, Global, Nonlocal
Data Structures - 1 Week
  • Lists
    Creating, Indexing, Slicing
    List Methods: append, extend, insert, remove, pop, sort
    Nested Lists & 2D Lists (Matrices)
  • Tuples
    Immutability, Packing & Unpacking
    Named Tuples
  • Sets
    Set Operations: union, intersection, difference
    frozenset
  • Dictionaries
    Creating, Accessing, Updating, Deleting Keys
    Dict Methods: keys(), values(), items(), get()
    Nested Dictionaries & Dict Comprehensions
  • Strings In-Depth
    String Methods: split, join, strip, replace, find
    String Formatting: f-strings, format(), % operator
    Regular Expressions with re module
File Handling, Modules & Error Handling - 0.5 Week
  • File Handling
    Opening, Reading, Writing & Closing Files
    Modes: r, w, a, rb, wb
    with Statement (Context Manager)
    Working with CSV & JSON Files
  • Modules & Packages
    import, from…import, as alias
    Built-in Modules: os, sys, math, random, datetime
    Creating Custom Modules & Packages
    pip & Installing Third-party Packages
  • Exception Handling
    try, except, else, finally
    Common Exceptions: ValueError, TypeError, KeyError
    Raising Exceptions & Custom Exception Classes
Object-Oriented Programming (OOP) - 1 Week
  • OOP Concepts Overview
    Classes & Objects
    __init__ Constructor & self Keyword
    Instance vs Class vs Static Methods
    Instance vs Class Variables
  • Inheritance
    Single, Multiple & Multilevel Inheritance
    super() Function & Method Overriding
    MRO (Method Resolution Order)
  • Encapsulation & Abstraction
    Public, Protected & Private Attributes
    Property Decorators: @property, @setter
    Abstract Classes with abc module
  • Polymorphism
    Method Overloading & Overriding
    Duck Typing in Python
  • Magic Methods (Dunder Methods)
    __str__, __repr__, __len__, __eq__, __add__
    Operator Overloading
  • Iterators & Generators (yield keyword)
Python for Web & Automation - 1 Week
  • Introduction to Flask
    Setting Up Flask Application
    Routing, URL Parameters & Request Methods (GET/POST)
    Jinja2 Templating (HTML rendering)
    Flask Forms & Redirects
  • Database Connectivity
    Connecting Python to MySQL (PyMySQL / mysql-connector)
    CRUD Operations: INSERT, SELECT, UPDATE, DELETE
    Introduction to SQLite with sqlite3 module
  • REST APIs & HTTP Requests
    requests Library: GET, POST, Headers, Auth
    Consuming Public APIs & Parsing JSON Responses
    Building a Simple REST API with Flask
  • Web Scraping
    BeautifulSoup for HTML Parsing
    Scraping Tables & Lists from Websites
  • Automation with Selenium
    Browser Automation: Click, Type, Navigate
    Locators: id, name, XPath, CSS Selector
    Taking Screenshots & Handling Alerts
Data Science Libraries Overview
  • NumPy for Numerical Computing
    Arrays, Indexing, Slicing, Reshaping
    Mathematical & Statistical Operations
  • Pandas for Data Analysis
    Series & DataFrames: Creating & Importing (CSV/Excel)
    Data Filtering, Sorting & Grouping
    Handling Missing Values & Data Cleaning
  • Matplotlib & Seaborn for Visualization
    Line, Bar, Scatter, Histogram & Pie Charts
    Seaborn: heatmap, pairplot, boxplot
  • Introduction to Jupyter Notebooks
    Markdown Cells, Magic Commands (%timeit, %run)
    Exporting Notebooks to HTML/PDF
Capstone Projects & Deployment
  • Version Control with Git & GitHub
    git init, add, commit, push, pull
    Branching, Merging & Pull Requests
    GitHub Repository Setup & Code Review
  • Virtual Environments & Dependency Management
    venv, pip freeze, requirements.txt
  • Deployment Basics
    Running Flask with Gunicorn & Nginx
    Deploying to Heroku / Render (Cloud Hosting)
    Introduction to Docker for Python Apps
  • Capstone Projects
    Project 1: CRUD Web App with Flask & MySQL
    Project 2: Data Analysis Dashboard (Pandas + Matplotlib)
    Project 3: Web Scraper + Automation Script
    Portfolio Setup: GitHub + Project Documentation

Course Highlights

  • Duration: 2 Months
  • Level: Advanced
  • Learning Mode: Classroom
  • Certification: Included
  • Job Support: 100% Placement Assistance
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