Python Training in Nepal
Master Python Programming with Code It
Duration: 1 month
Fee: Rs.1499 /-
Rs.16500
Course Overview: Join Nepal’s Most Affordable Python Training
Looking to start a career in programming or data science? Join Nepal’s most affordable Python training course, specially designed for students, fresh graduates, and professionals from Dharan, Itahari, Biratnagar, Koshi, Mechi, Kathmandu, and all across Nepal. Our flexible learning options include both online and physical classes, so you can study Python programming from anywhere.
Python is one of the most popular and versatile programming languages today, widely used in web development, data science, machine learning, automation, and more. This course is perfect for beginners, IT students, freelancers, and professionals eager to gain practical Python skills with hands-on projects.
Our comprehensive training covers Python fundamentals, data types, control structures, functions, object-oriented programming, libraries like Pandas and NumPy, web frameworks such as Django and Flask, and basics of data analysis. You will build real-world projects including web apps, automation scripts, and data analysis reports to strengthen your portfolio.
Why Choose Our Python Training in Nepal?
- Affordable Python course for students from Dharan, Itahari, Biratnagar, Koshi, Mechi, Kathmandu, and beyond
- Flexible online and physical Python classes tailored to your schedule
- Project-based learning with practical assignments
- Free certificate after course completion
- Internship and job placement support
Whether you are in Dharan or anywhere else in Nepal, this Python training will equip you with in-demand programming skills to jumpstart your career.
Enroll today and become a confident Python developer with Nepal’s best-value Python training!
Materials included
Free Certificate
Life time video access
Future Support
Internship
Requirements
No previous coding experience needed
Any computer will work: Mac Windows or Linux
Stable Internet Connection
Course Syllabus
Day 1: Introduction to Python
- Introduction to Python and its feature
- Installing Python and setting up development environment
- Writing and running your first Python program
Day 2: Pretty Basic
- Syntax, variables, and data types.
- Basic input/output operations.
- Writing simple programs using variables and user input.
Day 3: Functions and Modules
- Functions: definition, arguments, return values.
- Lambda functions and their use cases.
- Importing and using modules (built-in and custom).
Day 4: Data Structures Part I
- Introduction to lists and tuples: indexing, slicing, and methods.
- Understanding sets and dictionaries.
- Practical exercises with real-world examples.
Day 5: Data Structures and File Handling
- Advanced data structures: nested collections and comprehensions.
- File handling: reading, writing, working with text and binary files.
- Mini-project: Create a program to log user activity in a text file.
Day 6: Advanced Topics in Python I
- Iterators and generators with practical examples.
- Decorators: creating and applying them
- Exception handling: try-except-else-finally.
Day 7: Advanced Topics in Python (Part 2)
- Regular expressions: pattern matching and searching.
- Python's datetime module: working with dates and times.
- Overview of os and sys modules for file and system operations.
Day 8: Object-Oriented Programming (OOP - Part 1)
- Introduction to OOP concepts: classes and objects.
- Understanding the __init__ method.
- Writing simple OOP-based programs.
Day 9: Object-Oriented Programming (OOP - Part 2)
- Inheritance: single and multiple inheritance.
- Method overriding and using super().
- Hands-on examples for inheritance.
Day 10: Object-Oriented Programming (Part 3)
- Polymorphism: method overloading and overriding
- Encapsulation: private and protected members.
- Abstraction: abstract base classes and abstract methods.
Day 11: Object-Oriented Programming (OOP - Part 4)
- Magic/dunder methods (__str__, __repr__, etc.).
- Understanding @property decorators and property methods.
- Practice OOP concepts with small, real-world problems.
Day 12: Setting the Foundation for Projects
- Understanding libraries: Tkinter, Pygame, Requests, BeautifulSoup, OpenCV
- Project brainstorming session: decide on themes and goals.
- Setting up project environments
Day 13-14: Final Practice for Core Concepts
- Solving problems involving data structures, OOP, and file handling.
- Exercises to prepare for the transition to projects.
- Q&A session to clarify doubts.
Day 15: GUI with Tkinter (Part 1)
- Basics of Tkinter: creating windows and adding widgets (labels, buttons, entries).
- Mini-project: Build a simple calculator with Tkinter.
Day 16: GUI with Tkinter (Part 2)
- Event handling and layout management.
- Adding menus and message boxes.
- Mini-project: Create a To-Do list application.
Day 17: GUI with Tkinter (Part 3)
- Using the Canvas widget for drawings and visualizations.
- Saving and retrieving data with files (CSV or text).
- Mini-project: Extend the To-Do list application with save/load functionality.
Day 18: Simple Games with Pygame (Part 1)
- Setting up Pygame, creating a game window, and drawing shapes.
- Handling user input (keyboard events).
- Mini-project: Create a basic "Catch the Falling Objects" game.
Day 19: Simple Games with Pygame (Part 2)
- Adding custom graphics, animations, and sounds.
- Implementing collision detection and scoring
- Mini-project: Enhance the "Catch the Falling Objects" game with levels.
Day 20: Simple Games with Pygame (Part 3)
- Advanced game mechanics: timers, multiple objects, and endgame logic.
- Mini-project: Complete a "Ball Bounce" or "Brick Breaker" game.
Day 21: Web Scraping with Requests and BeautifulSoup4 (Part 1)
- Introduction to web scraping: HTTP requests and HTML parsing.
- Extracting text, links, and tables.
- Mini-project: Scrape weather data or product details.
Day 22: Web Scraping with Requests and BeautifulSoup4 (Part 2)
- Handling pagination and dynamic content.
- Saving scraped data to CSV files.
- Mini-project: Scrape job listings or news headlines across pages.
Day 23: Web Scraping with Requests and BeautifulSoup4 (Part 3)
- Error handling and scraping ethics (robots.txt).
- Mini-project: Create a customizable scraper with user-defined inputs
Day 24: Attendance System (Face Detection - Part 1)
- Introduction to OpenCV and setting up the environment.
- Basics of image processing: loading images, resizing, and face detection with Haar cascades.
- Mini-project: Build a script to detect faces in static images.
Day 25: Attendance System (Face Detection - Part 2)
- Capturing video from a webcam.
- Detecting faces in live video streams.
- Mini-project: Extend the script to display the number of faces on the screen.
Day 26: Attendance System (Face Detection - Part 3)
- Saving attendance data to CSV.
- Mini-project: Create a simple attendance tracker using face detection.
Day 27: Attendance System (Face Detection - Part 4)
- Improving detection accuracy with DNN models.
- Mini-project: Integrate face detection with a Tkinter GUI for an interactive attendance system.
Day 28: Further Discussions
- Q&A session and feedback.
No Classes Available Right Now!
Quick Enquiry
Similar Courses
C Programming
(5)
Duration: 14 Days | 1.5 Hours per Day
Online Fee: Rs.999/-
C++ Programming
(5)
Duration: 1 month | 1.5 Hours per Day
Online Fee: Rs.1,499/-
Java Training
(5)
Duration: 14 Days | 1.5 Hours per Day
Online Fee: Rs.1,499/-
DevOps Training
Duration: 14 Days | 1.5 Hours per Day
Online Fee: Rs.999/-