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Course / Course Details

Python

  • Parth Kosarkar image

    By - Parth Kosarkar

  • 0 students
  • 2 Hours
  • (0)

Course Description

Python Course Syllabus

Module 1: Introduction to Python

  • What is Python?
  • Installing Python and setting up the environment
  • Writing and executing your first Python script
  • Understanding the Python interpreter and IDEs (like VS Code, PyCharm)

Module 2: Python Basics

  • Variables and Data Types
  • Input and Output functions
  • Operators (Arithmetic, Logical, Comparison, Assignment, Bitwise)
  • Comments and Code Readability

Module 3: Control Flow

  • Conditional Statements (if, elif, else)
  • Looping (for, while)
  • Loop control statements (break, continue, pass)

Module 4: Functions and Modules

  • Defining and calling functions
  • Function arguments and return values
  • Variable scope and global keyword
  • Importing modules and using built-in modules
  • Creating and using user-defined modules

Module 5: Data Structures

  • Lists and List Comprehensions
  • Tuples
  • Sets
  • Dictionaries
  • Built-in functions and methods for each structure

Module 6: Strings and String Manipulation

  • String indexing and slicing
  • String methods
  • Formatting strings
  • Working with multiline strings

Module 7: File Handling

  • Reading and writing text files
  • Working with CSV files
  • Exception handling (try, except, finally)
  • File pointers and file modes

Module 8: Object-Oriented Programming (OOP) in Python

  • Classes and Objects
  • Constructors and __init__ method
  • Instance and class variables
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction

Module 9: Error Handling and Debugging

  • Exception types
  • Custom exceptions
  • Debugging tools and techniques
  • assert and logging basics

Module 10: Working with Libraries

  • Introduction to Pip and package installation
  • Working with math, datetime, and random
  • Introduction to NumPy and Pandas (basic operations)
  • Using external APIs (optional)

Module 11: Introduction to Data Handling & Visualization (Optional)

  • Basic Data Analysis with Pandas
  • Simple Data Visualizations using Matplotlib

Module 12: Capstone Project

  • Build a small real-world project to apply all concepts
  • Examples: To-Do app, Calculator, File Organizer, Data Summary Tool

Course Curriculum

  • 0 chapters
  • 0 lectures
  • 0 quizzes
  • 2 Hours total length
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Instructor

Parth Kosarkar

As the Super Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.

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  • Category: Python

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  • Language: English

  • Skill Level Advance

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  • Full lifetime access

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