Mastering Python: From Beginner to Pro
Master the Skill of Programming with Our Certified Python Course and Enhance Your Career in Just 1 Month!
- Flexible Class Timings
Learn at your own pace with classes that fit your schedule. - Language of Instruction
Available in Kannada and English for your convenience. - 100% Placement Support
Benefit from dedicated assistance in securing a job after completing your course.
Unlock your potential and dive into the world of Python programming!
Class
Online & Offline
Placement
100% Support
33 Hours
Duration – Flexible
Fee
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About Python
Welcome to Python, where coding feels as natural as writing in plain English! It’s perfect for beginners and super versatile—whether you’re dreaming of building websites, analyzing data, or making games. With tons of free resources, helpful forums, and a community eager to support, Python makes it easy to dive in, have fun, and see what you can create. Let Python be your guide into the world of tech—who knows what you’ll build next!
The Rise of Python: A Language for Everyone
Step into the world of Python—a language that’s simple, powerful, and loved by everyone from beginners to pros! In this course, you’ll discover essentials like working with variables, data, and popular tools like Pandas for data and Flask for web apps. You’ll gain skills that open doors in data science, web development, and automation—fields where Python shines!
The basics of Python, plus real-world tools and projects, so you can create interactive programs, analyze complex data, or build a dynamic website.
Python is in high demand, and learning it boosts your career options in tech. You’ll get hands-on with projects that make coding fun and practical.
Dive into video lessons, exercises, and group projects with a supportive community. Each week, tackle new topics, practice coding, and showcase your skills with a final project!
Basic and Advanced Python Training Syllabus
BASIC PYTHON TRAINING
TOTAL DURATION : 24 HOURS
ADVANCED PYTHON TRAINING
TOTAL DURATION : 33 HOUR
Overview of Python, installing Python, setting up the environment, running programs, understanding basic syntax, comments, and keywords.
Variables, data types (int, float, str, bool), type conversion, working with strings, input/output.
Arithmetic, comparison, logical, assignment, and bitwise operators.
If statements, loops (for, while), break, continue, pass.
Defining functions, arguments, return values, recursion, lambda functions.
Lists, tuples, sets, dictionaries, comprehensions.
Importing modules, using standard libraries, pip, custom modules.
Opening/closing files, reading/writing files, file paths, exception handling in files.
Classes, objects, inheritance, polymorphism, encapsulation, magic methods.
Exceptions, try/except, raising exceptions, custom exceptions.
NumPy, Pandas, Matplotlib, Flask, Django, automation tools like Selenium and BeautifulSoup.
Threading, multiprocessing, async programming.
Connecting to databases, executing queries, using SQLAlchemy.
Working with binary files, CSV, JSON, XML, Pickle.
Pattern matching, regex in Python.
Unit testing, debugging with pdb, logging.
Capstone project for practical exposure and evaluation.
Learn Python by Doing: Projects That Build Real Skills
- Data Analyzer: Build a tool to read and visualize data using libraries like Pandas and Matplotlib. This is essential for any data-related role.
- Expense Tracker: Create an app to manage daily expenses. It’s a great way to practice working with lists, dictionaries, and file storage while making something useful.
- Quiz Game: Design a simple quiz to challenge your friends. This project helps you learn about functions, loops, and conditionals as you create questions and track scores.
- Weather App: Use an API to get real-time weather data for any location. This project introduces you to working with APIs and building interactive programs.
- Web Scraper: Develop a program to collect data from websites, like news headlines or stock prices. Use Beautiful Soup to learn about data gathering and automation.
Skills You’ll Develop Through Projects
- Programming Fundamentals: Understanding variables, data types, loops, and conditional statements.
- Problem-Solving: Breaking down complex problems into manageable steps.
- Data Manipulation: Working with libraries like Pandas and NumPy for data analysis.
- Web Development: Building dynamic websites using frameworks like Flask or Django.
- Automation: Writing scripts to automate repetitive tasks.
- Data Visualization: Creating graphs and charts with Matplotlib or Seaborn.
- API Integration: Fetching and processing data from external sources.
- Debugging: Identifying and fixing errors in code effectively.
- Object-Oriented Programming: Designing modular and reusable code with classes.
- Machine Learning Basics: Using libraries like Scikit-learn for predictive analysis.