Python Full Course Friendly For Beginners

Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.44 GB | Duration: 4h 54m

python, programming, computer science, technology, coding, IT, data, loop, data structures, control structures , syntax

What you'll learn

Python programming language, including basic syntax and data types

Common programming tasks, such as working with strings, lists, and dictionaries

Python libraries and modules that can be used to perform specific tasks

Hands-on experience through exercises and projects

Preparations for further studies in computer science or any related field

Knowledge and skills to develop Applications, Tools, and Automation

Problem-solving skills and the ability to think logically

Requirements

No complex requirement but one must be computer literate and have access to a computer and internet

Description

Are you ready to dive into the world of Python programming? Python Full Course : Friendly for Bners is designed just for you! Whether you have no programming experience or just need a refresher, this course will guide you through the fundamentals of Python programming.We'll cover important topics such as data types, variables, operations, and flow control statements like if-else, for, and while loops. You'll also learn about functions and modules, and how to work with files through input and output operations, data structures, and various types of python libraries. And to wrap things up, we'll introduce you to the basics of object-oriented programming.The course is divided into smaller lecture lessons including both lecture notes each accompanied by videos to make learning enjoyable and reinforcement of key aspects discussed throughout the course. Moreover, there is a frequently asked question section at the end of each section of the course to help learners to familiarize with problematic issues and solutions experienced in real life scenario.But we don't just want to teach you the theory - we want you to get hands-on experience with Python programming too. That's why each lesson will include practical examples and exercises that will help you apply your new knowledge. By the end of this course, you'll be able to write your own Python programs with confidence. So why wait? Sign up today and start your journey to becoming a Python programmer!

Overview

Section 1: Introduction to Python

Lecture 1 Overview of the Python Programming Language

Lecture 2 Setting up a Development Environment

Lecture 3 Basic Syntax and Data Types

Lecture 4 Video Presentation

Section 2: Control Structures and Loops

Lecture 5 Conditional Statements

Lecture 6 Loops

Lecture 7 Loop Control Statements

Lecture 8 Video Presentation and Slides

Section 3: Functions and Modules

Lecture 9 Defining and Calling Function

Lecture 10 How Functions are Used to Process Data

Lecture 11 Application of Functions in Machine Learning and Web Development

Lecture 12 Importing and Using Modules

Lecture 13 Creating and Using Custom Modules

Lecture 14 Conclusion

Lecture 15 Video Presentation and Slides

Section 4: Data Structures

Lecture 16 Lists, Tuples, Dictionaries, Sets, and Strings

Lecture 17 Lists

Lecture 18 Tuples

Lecture 19 Dictionaries

Lecture 20 Third Party Data Structures

Lecture 21 Manipulating and processing data using data structures

Lecture 22 Frequently Asked Questions

Lecture 23 Video presentation and slides

Section 5: File Input/Output

Lecture 24 Input and Output Files

Lecture 25 Reading and writing files in Python

Lecture 26 Working with CSV and JSON data

Lecture 27 Application of Pandas library working with JSON and CSV Data

Lecture 28 Examples how the Pandas library can be used to work with JSON and CSV data

Lecture 29 Frequently Asked Questions

Lecture 30 Video presentation and slides

Section 6: Object-oriented programming (OOP)

Lecture 31 Object-oriented programming (OOP) defined

Lecture 32 Classes and Objects

Lecture 33 Inheritance and polymorphism

Lecture 34 Exceptional Handling

Lecture 35 Frequently Asked Questions

Lecture 36 Course Review Questions

Lecture 37 Video presentation and slides

Section 7: Advanced Topics in Python

Lecture 38 Decorators

Lecture 39 Generators

Lecture 40 Regular expressions (Regex)

Lecture 41 Multithreading

Lecture 42 Web Development

Lecture 43 Frequently Asked Questions

Lecture 44 Video presentation

Section 8: Python Libraries

Lecture 45 Types of Python Libraries

Lecture 46 Frequently Asked Questions

Lecture 47 Video presentation

Section 9: Python Project Work

Lecture 48 Considerations/Steps to Follow in Python Projects

Lecture 49 Sample Real World Project and Practical Solutions

Lecture 50 Applications of Concepts learnt in this Course (Python for Bner)

Lecture 51 Sample Projects and Possible Solutions

Lecture 52 Video presentation and slides

Bner Python Programmers with enthusiasm to learn python programming, Computer Science Students, IT specialists, programming teachers, programming students, computer science teachers

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