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Python Tutorial For Beginners | Learn Python Programming - AD-TEAM - 09-15-2024
![[Image: 2f90cf6bf18720536264d0256b4d45f4.jpg]](https://i124.fastpic.org/big/2024/0915/f4/2f90cf6bf18720536264d0256b4d45f4.jpg)
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
[b]What you'll learn[/b]
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
[b]Requirements[/b]
no programming knowledge needed
[b]Description[/b]
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
![[Image: 43h3gPld_o.jpg]](https://images2.imgbox.com/40/83/43h3gPld_o.jpg)
[b]What you'll learn[/b]
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
[b]Requirements[/b]
no programming knowledge needed
[b]Description[/b]
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