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Python Training
Python Training in Kathmandu, Nepal
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 22/07/2026
Created On: 17/06/2022
Course Overview
Broadway Infosys offers special Python training course in Nepal as it is considered as one of the popular programming languages that is attracting large pool of developers worldwide. The giants like Google, Yahoo and Amazon are using Python for their special projects and this has further inspired many developers to learn this programming language in Nepal
Python training course has been designed for aspiring developers with some level or no prior programming experience. The courses range from basic to advanced level. The course is all about familiarizing the trainees with simpler and smarter ways to develop interactive web applications using Python. At the end of the training, students need to undertake a project work to develop interactive application using Python.
Tools Covered
Some of the major industry-relevant tools you'll work with in this course include:
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Google Colab
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Jupyter Notebook,
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VS Code
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PyCharm
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Pandas
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Matplotlib
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Seaborn
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Plotly
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SQL
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DBeaver
What Our Students Say About Python Training
Mr. Raunak Kushwaha
Python Training
Our instructor was the best, and he took proper care of everyone's problem. It was a nice experience studying in broadway. I would love to study more in the future.
Mr. Bardan Tamang
Python Training
It’s overall a very good experience. I got to learn a lot about Python and its mechanics. The instructors here are very knowledgeable and helpful as well. Broadway Infosys also has been very cooperative and helpful. They have helped me...
Mr. Eric Bastola
Python Training
An excellent institution with highly skilled and experienced teachers. I really liked how our instructor gave us detailed information about every topic including its origin and history. All the staffs and management team were friendly and supportive. This institution has...
College/Faculty: Kathford International College of Engineering & Management / BCT
Working At: Sarvanam Software Pvt. Ltd.
Position: Asp Dot Net Developer
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Frequently Asked Questions
No prior programming experience is required. Basic computer knowledge and an interest in learning programming are enough to get started.
Yes. The training starts from Python fundamentals and gradually moves toward more advanced programming concepts, making it suitable for beginners.
You will learn Python syntax, variables, data types, operators, conditional statements, loops, functions, modules, file handling, exception handling, object-oriented programming (OOP), and practical Python development.
Yes. The training progresses from basic Python programming to advanced concepts, helping you build a strong foundation and develop practical programming skills.
Yes. You’ll get exposure to commonly used libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and relevant AI/ML libraries depending on the course curriculum.
Yes. The training can cover how to integrate AI APIs with Python applications, send prompts or requests, process model responses, and incorporate AI functionality into applications.
Yes. Python can automate tasks involving data processing, APIs, files, web workflows, and AI-powered processes, and you’ll learn practical approaches to Python-based automation.
Yes. You will learn core OOP concepts such as classes, objects, inheritance, encapsulation, polymorphism, and abstraction, and apply them in Python programs.
Yes. You will learn how Python applications can interact with databases and work with data storage, queries, and database-driven applications.
Yes. You will get practical exposure to relevant Python libraries, frameworks, and development tools, depending on the course curriculum and application requirements.
Yes. You will understand how Python is used in Artificial Intelligence, Machine Learning, data analysis, automation, and other modern technology applications, with relevant practical exposure where applicable.
Yes. You will learn how Python can be used for task automation, file handling, data processing, and repetitive workflow automation.
You will be able to write Python programs, solve programming problems, work with data and files, build basic applications, use Python libraries, and create practical automation or software projects.
Python skills can support careers such as Python Developer, Software Developer, Backend Developer, Automation Engineer, Data Analyst, AI/ML Engineer, and other technology-related roles, depending on your specialization.
You’ll receive hands-on guidance from trainers throughout the training, including support with coding exercises, debugging, assignments, projects, Python tools, and practical development.
Yes. Depending on your requirements, you can discuss suitable schedules with the training team. One-to-one training and group-based learning options may also be available.
Our course is available in hybrid training mode. You can attend classes in person or join online, whichever works best for you. If you cannot attend in person on a particular day, you can simply join the class online instead.
The course pricing varies depending on the subject and level. For detailed information on the course price, please contact us directly: +977-9841002000 / +977-1-4111849. Our team will be happy to guide you or send us an email at [email protected].
Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!
Lesson 1: Python Programming Language
- What exactly is Python?
- Python's root and its ecosystem
- Python Installation & IDEs setting up (Google Colab, Jupyter Notebook, VSCode, PyCharm)
- Python framework & Python syntax
- Hands-on writing code on Google Colab
- Data Types & Variables (String, Integer, Float, Complex, Boolean, None)
- Input and Output Functions
- Working with the format() method, f-strings, & escape sequences
- Basic Arithmetic & Operators
- Type casting, type checking, & validation
- If Else Conditional Statements (if, else, elif)
- Loops (for, while)
- Looping over tuples, strings, & dictionaries
- Special loops in Python (for/else)
- Using nested loops and flow control through conditions
- Resolving real-world problems to improve skills
- Special Statements: pass, continue, break
AI Tool:
- Google Colab - Gemini
Lists:
- Overview & fundamental operations
- Indexing, slicing, & negative indexing
- Looping through lists & conditions
- List methods like .insert(), .append(), .remove(), .sort(), etc.
- List comprehension with conditions
Tuples:
- Introduction & operations
- Indexing, slicing, & looping
- List versus Tuple
- Switching between lists and tuples
- Tuple unpacking
Sets:
- Introduction & set operations
- Adding, removing, & discarding items
- Set operations: union, intersection, and difference
- Frozenset versus set
Dictionaries:
- Introduction to dictionaries & methods like .get(), .update(), .keys(), .pop(), etc.
- Dictionary comprehension
- Nested dictionaries
AI Tool:
- Gemini or Codeium
- Defining functions through def keyword
- Parameters, Arguments, & Return Statements
- Returning multiple values
- Default & keyword arguments
- Anonymous functions (lambda)
- Nested functions & closures
- Scopes in Python: Local and Global
Text File Operations:
- Reading & writing text files
- Modes of file (r, w, a, rb, wb)
- File path handling with the os module
Working with CSV Files:
- Basics of CSV format and operations
- Reading & writing CSV files with csv.reader & csv.writer
- Using dictionaries in CSV files
Working with JSON:
- Introduction to JSON & its structure
- Reading & writing JSON data with the json module
- Parsing JSON strings
AI Tool:
- Using ChatGPT for prompt engineering
- Classes & Objects
- Class versus Object attributes
- Initializing object attributes with __init__()
- self keyword
- Inheritance: single, multiple, and multi-level
- Polymorphism & operator overloading
- Function overriding & encapsulation
AI Tools:
- Pythontutor.com
- try-except blocks
- Catching specific exceptions
- Using else & finally
- Generating and creating custom exceptions
- Problem-solving strategies
- Lambda Functions
- Generators & Iterators
- List comprehensions
- Working with *args & **kwargs
Standard libraries: os, random, math, functools, etc.
Data manipulation with Pandas:
- Working with DataFrames
- Reading & writing CSV files
- Data manipulation techniques
Data Visualization:
- Using Matplotlib, Seaborn, and Plotly
AI Tools:
- Pandas Profiling
- Designing and changing databases and tables
- CRUD operations (CREATE, SELECT, UPDATE, DELETE)
- Filtering data with the WHERE clause
AI Tools:
- DBeaver for SQL queries
- Optimizing & explaining SQL queries with ChatGPT
- Introduction to APIs and HTTP methods (GET, POST, PUT, DELETE requests)
- Sending parameters, headers, and JSON data
- Handling responses and status codes
- API authentication (API keys, tokens)
- Error handling and exceptions
- Working with sessions and pagination
- Consuming public APIs (practical examples)
- Functions as first-class objects
- Closures and nested functions
- Creating and using decorators
- Decorators with arguments
- Using functools.wraps
- Built-in decorators (@staticmethod, @classmethod, @property)
- Practical use cases (logging, timing, authorization)
- Introduction to type annotations
- Function and variable type hints
- Built-in and collection types
- typing module (Optional, Union, Any)
- Type hints in classes and methods
- Static type checking basics (mypy)
- Best practices for clean and safe code
- Installing & configuring Git
- Setting up local & remote repositories
- Making commits & branching
- Integrating local repositories to GitHub
- Pushing changes & cloning repositories
AI Tools:
- GitHub Copilot for Git commands
- Web Scraping + Database + File Operations: Scrape data, store it in SQL, & export to CSV/JSON
- Desktop Application (Data Entry System): Develop an application to manage data in JSON/CSV format
- CLI Application with CRUD Operations: Design a CLI app with basic CRUD operations & database integration
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Upcoming Classes (5)
Why Python Training?
Versatile Programming Skill: Learn Python for software development, automation, data analysis, AI, and web development.
Strong Programming Foundation: Build a solid understanding of Python syntax, data structures, functions, OOP, and programming concepts.
Practical Development: Apply your skills through hands-on exercises and real-world programming projects.
Big Data Skills: Learn to work with large datasets and apply Python for data processing and analysis.
Industry-Relevant Tools: Work with popular Python libraries and frameworks used in modern development.
Career Opportunities: Build skills for roles in Python development, automation, data, AI, and web development.
Beginner-Friendly Learning: Start with the basics and gradually progress toward advanced Python programming.
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14 Sep 2026
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