HOME > Development > Python Programming Master Course

Python Programming Master Course

  • Development
  • Jan 10, 2025
SynopsisPython Programming Master Course, available at $89.99, has an...
Python Programming Master Course  No.1

Python Programming Master Course, available at $89.99, has an average rating of 4.52, with 191 lectures, 39 quizzes, based on 675 reviews, and has 5588 subscribers.

You will learn about Complete Python3 Programming Logic Building & Problem Solving Object Oriented Programming Inheritance & Polymorphism Intermediate – Advanced Python Concepts Modules & Packages File & Exception Handling 30+ Algorithmic Problems Project – Markov Text Generation Project – URL Shortner TA Doubt Support This course is ideal for individuals who are Beginners in Programming or College & School students who want start programming & understand core concepts. or Working professionals & developers who want master Python Programming. or Curious developers who want to build projects & solve problems using Python. It is particularly useful for Beginners in Programming or College & School students who want start programming & understand core concepts. or Working professionals & developers who want master Python Programming. or Curious developers who want to build projects & solve problems using Python.

Enroll now: Python Programming Master Course

Summary

Title: Python Programming Master Course

Price: $89.99

Average Rating: 4.52

Number of Lectures: 191

Number of Quizzes: 39

Number of Published Lectures: 191

Number of Published Quizzes: 39

Number of Curriculum Items: 230

Number of Published Curriculum Objects: 230

Original Price: ?7,900

Quality Status: approved

Status: Live

What You Will Learn

  • Complete Python3 Programming
  • Logic Building & Problem Solving
  • Object Oriented Programming
  • Inheritance & Polymorphism
  • Intermediate – Advanced Python Concepts
  • Modules & Packages
  • File & Exception Handling
  • 30+ Algorithmic Problems
  • Project – Markov Text Generation
  • Project – URL Shortner
  • TA Doubt Support
  • Who Should Attend

  • Beginners in Programming
  • College & School students who want start programming & understand core concepts.
  • Working professionals & developers who want master Python Programming.
  • Curious developers who want to build projects & solve problems using Python.
  • Target Audiences

  • Beginners in Programming
  • College & School students who want start programming & understand core concepts.
  • Working professionals & developers who want master Python Programming.
  • Curious developers who want to build projects & solve problems using Python.
  • Welcome to Python Programming Master Course (2021) – the most comprehensive & robust Python3 Courseby Coding Minutesdesigned for absolute beginners & developers!

    Python is the hottest programming language of the 21st century. It is widely in Machine Learning & Data Science. Many top companies like Instagram, Spotify, Netflix, Google, Dropbox use python extensively for their projects which includes building web apps, data pipelines, data analysis & visualisation, deep learning at scale and large scale distributed systems.

    This is the most comprehensive and detailed coursefor the Python programming language taught by Mohit Uniyal who is a data scientist turned instructor & Prateek Narang, a Google Engineer & algorithms instructor!Both the instructors have taught thousands of students in the last few years and have received amazing reviews. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you!

    With over 200+ lectures and more than 18 hours of video, this course ensures you build a solid foundation in Python. This course includes quizzes, mock tests, coding exercises and practical projects – URL Shortener & Text Generation.

    This is a completely hands-on course, with interactive videos & coding in Jupyter Notebooks. You get the complete code repository to practice & revise on your machine.

    We cover a wide variety of topics, including:

  • Installing Python

  • Different ways of running Python code

  • Python Fundamentals – Syntax

  • Operators and Expressions

  • Conditional Statements

  • For & while Loop

  • Lists

  • Tuples

  • Sets

  • Dictionaries

  • Functions

  • Arbitrary and Keyword arguments

  • Built-in Functions

  • File Handling

  • Error Handling

  • Modules & Packages

  • Object-Oriented Programming

  • Inheritance

  • Polymorphism

  • Iterators

  • Generators

  • Decorators

  • Algorithms Questions

  • and much more!

  • So what are you waiting for? Join Prateek & Mohit in this amazing journey, and start your journey of becoming a Python Champion today!  Looking forward to see you in the course.

    Course Curriculum

    Chapter 1: → MODULE : INTRODUCTION

    Lecture 1: Course Orientation

    Lecture 2: Code Repository

    Lecture 3: Doubt Support Guidelines

    Chapter 2: Setting Up the Environment.

    Lecture 1: Installing Anaconda [for Mac]

    Lecture 2: Installing Anaconda [for Windows]

    Lecture 3: Jupyter Notebook Overview

    Chapter 3: → MODULE – PYTHON FUNDAMENTALS

    Lecture 1: Module Agenda

    Chapter 4: Python Basics

    Lecture 1: Variables and Identifiers

    Lecture 2: Id of a variable

    Lecture 3: Basic DataTypes

    Lecture 4: Input & Type Conversion

    Lecture 5: Python Statements

    Lecture 6: Output Formatting

    Chapter 5: Operators and Expressions

    Lecture 1: Arithmetic Operators

    Lecture 2: Comparison Operators

    Lecture 3: Logical Operators

    Lecture 4: Bitwise Operators

    Lecture 5: Assignment Operators

    Lecture 6: Special Operators

    Chapter 6: Python : Control Flow

    Lecture 1: Conditional Statements : If else

    Lecture 2: The Indentation

    Lecture 3: Nested IF else

    Lecture 4: Question : Largest of 3 Number ?

    Lecture 5: While Loop

    Lecture 6: For Loop

    Lecture 7: Question : Pattern Printing ?

    Lecture 8: Question : Questions on Loops ?

    Lecture 9: Implementation of Prime Number

    Lecture 10: Break, Continue and pass

    Chapter 7: → MODULE – DATA STRUCTURES

    Lecture 1: Module Agenda

    Chapter 8: Strings

    Lecture 1: Strings Introduction

    Lecture 2: String Slicing

    Lecture 3: String Methods

    Lecture 4: String Operations

    Lecture 5: Question : Find Vowels ?

    Lecture 6: Question : Palindrome Strings ?

    Chapter 9: Lists

    Lecture 1: Lists Introduction

    Lecture 2: Lists Methods

    Lecture 3: List Append Vs. Extend

    Lecture 4: Heterogeneous Lists

    Lecture 5: List Comprehension

    Lecture 6: 2D Lists

    Lecture 7: More on Lists

    Lecture 8: Question : Rotation of a List ?

    Chapter 10: Tuples

    Lecture 1: Creating Tuples

    Lecture 2: Why Tuples?

    Lecture 3: Are tuples really immutable?

    Lecture 4: Tuple Operations

    Lecture 5: Tuple Unpacking

    Chapter 11: Sets

    Lecture 1: Set Introduction

    Lecture 2: Set Operations

    Lecture 3: Question : No Duplicate Elements

    Chapter 12: Dictionary

    Lecture 1: Introduction to Dictionaries

    Lecture 2: Accessing Elements

    Lecture 3: Dictionary Functions

    Lecture 4: Delete Elements

    Lecture 5: Nested Dictionaries

    Lecture 6: Dictionary Comprehension

    Instructors

  • Python Programming Master Course  No.2
    Mohit Uniyal
    Data Scientist & Coding Minutes Instructor
  • Python Programming Master Course  No.3
    Prateek Narang
    Instructor & Entrepreneur – Google, Coding Minutes, Scaler
  • Python Programming Master Course  No.4
    Coding Minutes
    Pocket friendly way to learn with experts!
  • Rating Distribution

  • 1 stars: 12 votes
  • 2 stars: 13 votes
  • 3 stars: 46 votes
  • 4 stars: 211 votes
  • 5 stars: 393 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!