Python Basics For Beginners: Start Your Coding Journey

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Python Basics For Beginners: Start Your Coding Journey
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.58 GB | Duration: 6h 46m
Learn the fundamentals of Python: variables, data types, functions, and more, to kickstart your coding journey.​

What you'll learn
Understand the fundamentals of Python programming, including syntax and variables.
Understand how to write clean, efficient, and reusable code.
Explore Python's powerful features, including data types, functions, and libraries.
Develop problem-solving skills through hands-on exercises and real-world examples.
Explore advanced concepts like arrays, object-oriented programming, and inheritance.
Utilize Python libraries and tools such as JSON, Math, and Regular Expressions.
Gain confidence to create your own Python programs from scratch.
Requirements
No prior programming experience is required - this course is beginner-friendly!
A computer (Windows, Mac, or Linux) with internet access.
A desire to learn Python programming and solve problems with code.
Description
Unlock the power of Python programming with this comprehensive course designed for beginners! Whether you're stepping into the world of programming for the first time or looking to solidify your understanding of Python fundamentals, this course provides a step-by-step guide to mastering the core concepts of Python.What You'll Learn:Start with an introduction to Python and its real-world applications.Understand variables, data types, and assignments to store and manipulate data effectively.Dive into Python's powerful collections: Lists, Tuples, Sets, and Dictionaries.Master control flow with If-Else statements, For loops, and While loops to make dynamic programs.Learn to write reusable code with Python functions and Lambda expressions.Explore advanced Python concepts like Arrays, Classes, Inheritance, and Polymorphism.Get hands-on with libraries like Math, JSON, and Regular Expressions, and learn to manage packages with PIP.Handle errors gracefully and interact with users through input and file handling.Why Take This Course?This course simplifies complex concepts into manageable sections, each packed with practical examples and coding exercises. By the end, you'll have the foundational skills needed to start creating Python programs confidently and move on to specialized topics like data visualization, machine learning, and beyond.Enroll now to begin your Python programming journey!
Overview
Section 1: Introduction to Python
Lecture 1 Python Overview and Applications
Lecture 2 Installing Python and Setting Up Your Environment
Lecture 3 Writing Your First Python Program and Understanding Syntax
Lecture 4 Adding Comments and Writing Clean Code
Section 2: Python Variables and Assignments
Lecture 5 Understanding Variables and Assignments
Lecture 6 Assigning Multiple Values to Variables
Section 3: Python Data Types
Lecture 7 Overview of Python Data Types
Lecture 8 Working with Numbers in Python
Lecture 9 Strings: Slicing, Modifying, and Concatenating
Lecture 10 String Formatting, Escape Characters, and String Methods
Lecture 11 Python Booleans and Logical Values
Lecture 12 Python Operators
Section 4: Python Collections
Lecture 13 Introduction to Python Lists
Lecture 14 Working with Tuples in Python
Lecture 15 Sets: Unique and Unordered Data Collections
Lecture 16 Managing Dictionaries in Python
Section 5: Control Flow in Python
Lecture 17 If, Else, and Elif: Conditional Logic
Lecture 18 While Loops in Python
Lecture 19 For Loops for Iteration
Section 6: Python Functions
Lecture 20 Introduction to Python Functions
Lecture 21 Working with Lambda Functions
Section 7: Advanced Python Concepts
Lecture 22 Python Arrays: Basics and Usage
Lecture 23 Classes and Objects in Python
Lecture 24 Understanding Inheritance in Python
Lecture 25 Iterators for Managing Data
Lecture 26 Python Polymorphism: Reusing Code
Lecture 27 Python Scope: Local and Global Variables
Section 8: Python Libraries and Utilities
Lecture 28 Working with Modules in Python
Lecture 29 Managing Dates and Times in Python
Lecture 30 Performing Mathematical Operations with Python Math
Lecture 31 Using JSON for Data Management
Lecture 32 Simplifying Tasks with Regular Expressions (RegEx)
Lecture 33 Managing Packages with PIP
Section 9: Handling Errors and User Interaction
Lecture 34 Handling Errors with Try and Except
Lecture 35 Taking User Input in Python
Lecture 36 String Formatting Techniques
Lecture 37 File Handling in Python: Read, Write, and Delete
Absolute beginners who want to start their programming journey with Python.,Students and professionals looking to build a strong foundation in coding.,Hobbyists interested in learning Python to solve real-world problems.,Anyone curious about programming and eager to explore Python's versatility.
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