Marshall Institute

BASIC INFORMATION

Course Fees : 5000.00 8000.00/-
Course Duration : 3 MONTHS
Minimum Amount To Pay : Rs.500.00

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Course Syllabus

This Python programming course covers the following topics:

Module 1: Introduction to Python & CMD

This module introduces Python, covering installation, setting up the environment, and running scripts. Students will also learn essential Command Prompt (CMD) commands such as cd (change directory), dir (list files and folders), mkdir (create directory), cls (clear screen), and pip install (install Python packages).

Module 2: Python Basics

In this module, students will explore the core building blocks of Python, including variables, data types, and operators. They will learn how to take input using input(), display output with print(), and use comments to document their code effectively.

Module 3: Python Data Types

Students will learn about different data structures, starting with strings, including indexing, slicing, and string methods. They will then explore lists, which allow modification and provide useful methods like append(), remove(), and sort(). This module also covers tuples, sets, and dictionaries, explaining their usage, properties, and key operations.

Module 4: Control Flow

This module covers decision-making statements such as if, if-else, and if-elif-else, helping students build logical conditions in their programs. Additionally, they will work with loops (for and while) and learn how to control iterations using break, continue, and pass statements.

Module 5: Functions

This module introduces functions and their importance in code reusability. Students will learn to define functions using def, understand different types of functions (with/without arguments and return values), and explore lambda (anonymous) functions for concise coding.

Module 6: File Handling

Students will gain hands-on experience in working with files, including reading and writing operations. They will learn how to open files using open(), read data using read(), write content using write(), and properly close files to prevent data loss.

Module 7: Python Object-Oriented Programming (OOP)

This module covers the fundamentals of object-oriented programming, including classes and objects. Students will understand the concept of self and constructors (__init__) and explore key OOP principles such as inheritance and polymorphism to create structured and reusable code.

Module 8: Error Handling & Debugging

Students will learn how to handle errors efficiently using try, except, and finally blocks. Debugging techniques will also be introduced to help identify and fix issues in the code, ensuring smooth program execution.

Module 9: Modules and Packages

For students interested in exploring more, this module introduces Python modules and packages, such as math, random, and datetime. Additionally, they will get a basic understanding of libraries like numpy, pandas, and matplotlib, which are widely used in data science and analytics.

This course provides a structured approach to Python programming, ensuring students build a strong foundation and gain practical coding skills.

Course Eligibility

Any student with a keen interest in programming and a desire to build coding skills is welcome to enroll in this course.