Python Tutorial For Beginners | Learn Python Programming
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.45 GB | Duration: 5h 11m

Learn Python Programming - Beginner to Advance

What you'll 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

Requirements

no programming knowledge needed

Description

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

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Introduction to Python

Lecture 2 Introduction to Python

Lecture 3 Setup Python Environment | Install python

Section 3: Python Basics

Lecture 4 Variables in Python

Lecture 5 Operators in Python

Lecture 6 User Input in python

Lecture 7 Conditional Statements (if, elif, else) in python

Section 4: Data Structures/ Data Handling in python

Lecture 8 List in Python

Lecture 9 Tuple And Set in Python

Lecture 10 Dictionary in Python

Lecture 11 For Loop in Pyhton

Lecture 12 While Loop in Python

Lecture 13 Break And Continue in Python

Lecture 14 Array And NumPy Array in Python

Lecture 15 Function in Python

Lecture 16 Variable Length (**Perm) in Python

Lecture 17 Global Variable in Pytho

Lecture 18 Lambda Function in Python

Section 5: Advance Data Handling in python

Lecture 19 List Comprehensions in Python

Lecture 20 Dictionary Comprehensions in Python

Lecture 21 Everything About String in Python

Lecture 22 Exception Handling in Python

Lecture 23 File Handling with Try catch in Python

Section 6: Advanced Python Concepts

Lecture 24 Decorators in Python

Lecture 25 Generators in Python

Lecture 26 Module in Python

Lecture 27 Python Special Variable __Name__

Section 7: Object-Oriented Programming (OOP)

Lecture 28 Oops in Python

Lecture 29 Class And Object in Python

Lecture 30 Python Special Variable __Init__ ( Constructor in Python)

Lecture 31 Type Of Variables And Methods in Python

Lecture 32 Nested Class Or Inner Class in Python

Lecture 33 Inheritance in Python | MRO(Method Resolution Order) in python

Lecture 34 Duck typing in python | polymorphism in python

Lecture 35 Operator overloading in python

Lecture 36 Method overloading and Method overriding in python

Lecture 37 Abstract class and Abstract method in python | ABCs in python

Lecture 38 Mutithreading in python

Section 8: Working with External Libraries

Lecture 39 External Libraries in Python | Pandas Library in python

beginner python developer,Developers who curious about python