Python Tutorial for Beginners | Learn Python Programming

Python Tutorial for Beginners | Learn Python Programming, available at $54.99, has an average rating of 1, with 41 lectures, 1 quizzes, based on 1 reviews, and has 1 subscribers.

You will learn about Master Python Basics Dive into Data Structures to handle data Learn Object-Oriented Programming with python Advanced Python Features Work with Real-world Libraries Build and Manage Projects This course is ideal for individuals who are beginner python developer or Developers who curious about python It is particularly useful for beginner python developer or Developers who curious about python.

Enroll now: Python Tutorial for Beginners | Learn Python Programming

Summary

Title: Python Tutorial for Beginners | Learn Python Programming

Price: $54.99

Average Rating: 1

Number of Lectures: 41

Number of Quizzes: 1

Number of Published Lectures: 41

Number of Published Quizzes: 1

Number of Curriculum Items: 42

Number of Published Curriculum Objects: 42

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Master Python Basics
Dive into Data Structures to handle data
Learn Object-Oriented Programming with python
Advanced Python Features
Work with Real-world Libraries
Build and Manage Projects

Who Should Attend

beginner python developer
Developers who curious about python

Target Audiences

beginner python developer
Developers who curious about python

I welcome you all to this amazing course. Hope the learning would add value to your knowledge and you will learn about Python Tutorial for Beginners.

Wishing you a happy learning. Please do comment and provide feedback on the course.

This Python crash course is designed for beginners and intermediate learners who want to master Python programming from the ground up. Whether you’re new to coding or looking to strengthen your existing Python skills, this course offers a comprehensive journey through the language’s core concepts and advanced features.

Prerequisites: A basic understanding of programming concepts and familiarity with computers is recommended but not required. No prior knowledge of Python is necessary.

Throughout the course, you’ll start with the basics, including Python syntax, data types, and control flow. You’ll then progress to more complex topics such as data structures, object-oriented programming (OOP), and advanced Python features like decorators and generators. The course also covers practical aspects like working with external libraries, managing virtual environments, and building and using custom modules.

What You’ll Learn: By the end of this course, you’ll be proficient in Python, capable of writing efficient code, and equipped with the skills to tackle real-world programming challenges. You’ll have hands-on experience with popular Python libraries, understand how to manage projects and dependencies, and be able to apply advanced programming techniques to create robust and scalable applications. Learn Modules – NumPy, Math, Data Structure ,file handling using pandas apart from it getting knowledge on functional and Object-Oriented Programming with python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Python

Lecture 1: Introduction to Python

Lecture 2: Setup Python Environment | Install python

Chapter 3: Python Basics

Lecture 1: Variables in Python

Lecture 2: Operators in Python

Lecture 3: User Input in python

Lecture 4: Conditional Statements (if, elif, else) in python

Chapter 4: Data Structures/ Data Handling in python

Lecture 1: List in Python

Lecture 2: Tuple And Set in Python

Lecture 3: Dictionary in Python

Lecture 4: For Loop in Pyhton

Lecture 5: While Loop in Python

Lecture 6: Break And Continue in Python

Lecture 7: Array And NumPy Array in Python

Lecture 8: Function in Python

Lecture 9: Variable Length (**Perm) in Python

Lecture 10: Global Variable in Pytho

Lecture 11: Lambda Function in Python

Chapter 5: Advance Data Handling in python

Lecture 1: List Comprehensions in Python

Lecture 2: Dictionary Comprehensions in Python

Lecture 3: Everything About String in Python

Lecture 4: Exception Handling in Python

Lecture 5: File Handling with Try catch in Python

Chapter 6: Advanced Python Concepts

Lecture 1: Decorators in Python

Lecture 2: Generators in Python

Lecture 3: Module in Python

Lecture 4: Python Special Variable __Name__

Chapter 7: Object-Oriented Programming (OOP)

Lecture 1: Oops in Python

Lecture 2: Class And Object in Python

Lecture 3: Python Special Variable __Init__ ( Constructor in Python)

Lecture 4: Type Of Variables And Methods in Python

Lecture 5: Nested Class Or Inner Class in Python

Lecture 6: Inheritance in Python | MRO(Method Resolution Order) in python

Lecture 7: Duck typing in python | polymorphism in python

Lecture 8: Operator overloading in python

Lecture 9: Method overloading and Method overriding in python

Lecture 10: Abstract class and Abstract method in python | ABCs in python

Lecture 11: Mutithreading in python

Chapter 8: Working with External Libraries

Lecture 1: External Libraries in Python | Pandas Library in python

Lecture 2: Draw Indian Flag using Python with NumPy and Matplotlib python Library

Chapter 9: Build a Online Python Compiler with Flask

Lecture 1: Build a Online Python Compiler with Flask

Chapter 10: Practice Test

Instructors

TheDotNet Office
Full stack developer

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 0 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!

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