Python Full Course Friendly For Beginners

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 Beginners 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 Beginner)
Lecture 51 Sample Projects and Possible Solutions
Lecture 52 Video presentation and slides
Beginner Python Programmers with enthusiasm to learn python programming, Computer Science Students, IT specialists, programming teachers, programming students, computer science teachers
Homepage