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Code With ChatGPT Python Made Effortless
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.40 GB | Duration: 8h 58m[/center]

Master Python from Basics to Advanced with AI-Guided Projects and Exercises

What you'll learn
Foundational Python Skills: From syntax to advanced concepts like OOP, data manipulation, and more.
AI-Enhanced Learning: Learn how to use ChatGPT as a coding guide, tutor, and debugging assistant.
Project-Based Experience: Complete 8 mini-projects (one per section), building a diverse coding portfolio.
Practical Coding Knowledge: Reinforce learning with assignments, solutions, and multiple-choice quizzes in each section.
Data Analysis Skills with Pandas: Understand data manipulation and visualization, essential for data science and analytics.
Machine Learning Project Experience: Apply your skills to a guided machine learning project with ChatGPT support.

Requirements
No prior programming experience required. All you need is curiosity and a willingness to learn!

Description
Course Description:Learn Python the smart way with ChatGPT! This interactive, project-based course is designed to help you master Python programming efficiently and effectively. Across 9 hours of bite-sized video lessons, you'll start with the fundamentals and progress to advanced topics, like object-oriented programming (OOP) and data manipulation with Pandas. Each section includes mini projects, assignments, and quizzes to reinforce learning, giving you hands-on practice with your coding skills and ChatGPT's AI support.By combining real-world coding exercises, step-by-step video tutorials, and instant AI assistance, this course offers an ideal learning environment for both beginners and those looking to enhance their programming skills. Using ChatGPT, you'll have an on-demand mentor to clarify concepts, troubleshoot issues, and optimize code, accelerating your journey to becoming a confident Python developer.Enroll now to unlock the power of Python and experience a new way to learn programming with the support of AI!Section 1: Introduction to Python Programming- What is Python and Why Learn It? Discover why Python is one of the most popular and versatile programming languages today, widely used in data science, web development, and artificial intelligence.- Setting Up the Development Environment: A beginner-friendly guide to setting up Python, IDEs, and working in environments like Jupyter Notebooks and Google Colab.- Running Python Code: Learn various ways to run Python code, whether in an interactive environment, script, or IDE.- Leveraging AI Tools for Learning (ChatGPT): Discover how to use ChatGPT as an AI tutor to explain Python concepts, debug code, and guide you through assignments.- Mini Project: Create a simple calculator with ChatGPT's guidance to get hands-on experience with basic Python syntax.Section 2: Python Basics- Variables and Data Types: Understand data types and how to declare variables in Python. Includes a camera video for visual explanation.- Basic Input and Output: Learn how to take user input and display output in Python, a foundational skill for interactive programming.- Operators in Python: Dive into Python's operators (arithmetic, logical, and comparison) for performing essential calculations.- Using ChatGPT to Explain Python Concepts: Practice asking ChatGPT questions to clarify basic concepts and solve common coding problems.- Mini Project: Build a basic age calculator, applying variables, data types, and input/output concepts with ChatGPT's support.- Assignments & Quizzes: Test your understanding with practice assignments, solutions, and multiple-choice questions (MCQs).Section 8: Final Words and Next Steps- Recap of What You've Learned: Review key concepts and projects completed throughout the course, highlighting your new Python skills.- Using ChatGPT and Other AI Tools for Continuous Learning: Explore how AI tools like ChatGPT can support your ongoing coding journey.- Next Steps: Where to Go from Here? Recommendations on advanced Python topics and additional projects to take your skills further.Who Should EnrollThis course is ideal for:- Beginners looking to learn Python programming in a structured, hands-on way.- Self-learners who want to explore the power of AI tools like ChatGPT for learning programming.- Developers and Analysts looking to sharpen their Python skills through practical exercises and mini-projects.- Coding Enthusiasts who want to integrate AI into their learning routine.PrerequisitesNo prior programming experience required. All you need is curiosity and a willingness to learn!What You'll Gain- Foundational Python Skills: From syntax to advanced concepts like OOP, data manipulation, and more.- AI-Enhanced Learning: Learn how to use ChatGPT as a coding guide, tutor, and debugging assistant.- Project-Based Experience: Complete 8 mini-projects (one per section), building a diverse coding portfolio.- Practical Coding Knowledge: Reinforce learning with assignments, solutions, and multiple-choice quizzes in each section.- Data Analysis Skills with Pandas: Understand data manipulation and visualization, essential for data science and analytics.- Machine Learning Project Experience: Apply your skills to a guided machine learning project with ChatGPT support.

Overview
Section 1: Introduction

Lecture 1 Python Promo

Lecture 2 Introduction to Python

Lecture 3 Colab VS Jupyter Notebook

Section 2: Basics Of Python

Lecture 4 Introduction to Module

Lecture 5 Creating First Variable

Lecture 6 Arithmetic Operators

Lecture 7 DMAS Rule For Python

Lecture 8 Introduction to String

Lecture 9 Type Casting

Lecture 10 Input And a Problem!

Lecture 11 Solving The Problem

Lecture 12 Comparison Operators

Lecture 13 Comments

Lecture 14 Assignment

Lecture 15 Assignment Solution

Lecture 16 Assignment Solution Using ChatGPT

Section 3: Control flow and Loops

Lecture 17 Introduction to Module

Lecture 18 If Else

Lecture 19 If Elif Else

Lecture 20 Assignment

Lecture 21 Assignment Solution

Lecture 22 Nested Conditions

Lecture 23 Logical Operators

Lecture 24 Assignment Solution with ChatGPT

Lecture 25 Introduction to Loops

Lecture 26 Getting Started With While Loop

Lecture 27 Using If Statement In While Loop

Lecture 28 Assignment

Lecture 29 Assignment Solution

Lecture 30 Introduction to For Loop

Lecture 31 Break And Continue Statements

Lecture 32 Mini Project

Lecture 33 Mini Project Solution With ChatGPT

Section 4: Data Structures

Lecture 34 Introduction to Module

Lecture 35 Introduction to Indexing

Lecture 36 Slicing

Lecture 37 Using Loops For Data Structures

Lecture 38 Activity Solution

Lecture 39 Lists

Lecture 40 Assignment

Lecture 41 Assignment Solution

Lecture 42 Tuples

Lecture 43 Sets

Lecture 44 Using ChatGpt to Find Differences

Lecture 45 Dictionary

Lecture 46 Mini Project

Lecture 47 Solution Using ChatGPT

Section 5: Functions

Lecture 48 Introduction to Module

Lecture 49 Built-In Functions

Lecture 50 User Defined Functions

Lecture 51 Arguments & Parameters

Lecture 52 Value Returning Functions

Lecture 53 Boolean Functions

Lecture 54 Mini Project

Lecture 55 ChatGPT Solution & Exeption Handling

Section 6: OOP (Object Oriented Programming)

Lecture 56 Introduction to Module

Lecture 57 Basic Infrastructure

Lecture 58 Encapsulation

Lecture 59 Inheritance

Lecture 60 Polymorphism

Lecture 61 Abstraction

Lecture 62 Mini Project

Lecture 63 Mini Project Solution With ChatGPT

Lecture 64 Creating & Importing Modules

Section 7: Python Libraries

Lecture 65 Links for the Course's Materials and Codes

Lecture 66 Introduction to Module

Lecture 67 Importing Pandas

Lecture 68 Loading Data Into Dataframe

Lecture 69 Dataframe Slicing

Lecture 70 Dealing With Missing Values

Lecture 71 Data Manipulation Using ChatGPT

Lecture 72 Data Filtering

Lecture 73 Data Visualizations

Lecture 74 Machine Learning Project

Lecture 75 Implementing ML Using ChatGPT

Lecture 76 Farewell Video

Beginners looking to learn Python programming in a structured, hands-on way.,Self-learners who want to explore the power of AI tools like ChatGPT for learning programming.,Developers and Analysts looking to sharpen their Python skills through practical exercises and mini-projects.,Coding Enthusiasts who want to integrate AI into their learning routine.