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Python Programming For Beginners With Chatgpt
Master Python Programming Fundamentals, Object-Oriented Concepts, Advanced Techniques, and Data Analysis with ChatGPT
What you'll learn
Understand Python Fundamentals
Apply Object-Oriented Programming Principles
Implement Advanced Python Techniques
Execute File Handling and Data Management
Build and Deploy Desktop GUI Applications
Requirements
No programming skills or technical knowledge required, everything is shown step by step.
Description
Are you eager to dive into the world of Python programming but unsure where to start? Welcome to "Python Programming for Beginners with ChatGPT," a comprehensive course designed to guide you through the essentials of Python programming using the power of ChatGPT and Google Colab.In this course, you'll embark on a journey from the fundamentals to advanced concepts, all while leveraging the innovative capabilities of ChatGPT to enhance your learning experience. Here's what you'll gain:Introduction to ChatGPT: Learn how to harness ChatGPT to assist you with coding challenges, provide explanations, and streamline your learning process.Getting Started with Google Colab: Discover how to use Google Colab as your Integrated Development Environment (IDE) for coding, debugging, and executing Python code.Python Fundamentals: Master the core concepts of Python, including variables, control flow, and data types.Object-Oriented Programming (OOP): Understand the principles of OOP and how to apply them in Python.Advanced Topics: Delve into advanced Python topics such as recursion, operator overloading, multithreading, and multiprocessing.File Handling: Learn how to manage and manipulate files in Python.Data Analysis and Visualization: Explore techniques for analyzing and visualizing data using Python's powerful libraries.Building Desktop GUI Apps: Gain hands-on experience creating desktop applications with Python.This course is perfect for anyone looking to build a solid foundation in Python programming, whether you're a complete beginner or someone looking to enhance your skills. With step-by-step instructions, practical exercises, and real-world examples, you'll gain the confidence and knowledge needed to tackle Python projects and advance your programming journey.Enroll now and start building your Python programming skills with the support of ChatGPT and Google Colab!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Overview of ChatGPT (Optional Section)
Lecture 2 How to create a GPT account and explore GPT interface
Lecture 3 Free tools you can Access in ChatGPT
Lecture 4 Exploring ChatGPT's Paid Tools
Section 3: Python Fundamentals with ChatGPT
Lecture 5 What is Python? A Beginner's Guide with ChatGPT
Lecture 6 Introduction To Successful Coding
Lecture 7 Master Python Programming with ChatGPT: A Comprehensive Learning Guide
Lecture 8 Getting Started with Google Colab: A Sample Project to Inspire Your Journey
Lecture 9 Understanding Modules and pip in Python
Lecture 10 Understanding Comments, Escape Sequences, and the Print Statement in Python
Lecture 11 Understanding Operators in Python and a Coding Exericse
Lecture 12 How to Manage, Process, and Analyze Your Data
Lecture 13 Master Typecasting in Python: Convert Like a Pro!
Lecture 14 Interactive Python: How to Take and Use User Input Effectively
Lecture 15 Understanding and Using Strings in Python
Lecture 16 String Slicing and Operations in Python
Lecture 17 A Comprehensive Guide to Python String Methods
Section 4: Control Flow and Functions in Python
Lecture 18 Mastering Conditional Logic: If-Else Statements in Python
Lecture 19 Unlocking Python's Pattern Matching: A Guide to Match Case Statements
Lecture 20 From Zero to Loop Hero: Understanding For Loops in Python
Lecture 21 Everything You Need To Know About While-Loops
Lecture 22 Fine-Tuning Your Loops: Advanced Techniques with Break and Continue
Lecture 23 Python Functions Demystified: Building Blocks of Efficient Code
Section 5: Python Data Management and Task Handling
Lecture 24 Combining Text and Calculations in Python
Lecture 25 Building LLM Prompts with Variables
Lecture 26 Local VS Global Variables
Lecture 27 Completing a task List in python
Lecture 28 Prioritizing Tasks with Dictionaries and AI
Lecture 29 Tuples in Python for Better Data Management
Lecture 30 Sets and Set Methods in Python
Lecture 31 From Simple to Complex: Mastering Data Comparison Techniques in Python
Lecture 32 How to Enhance AI Decision-Making Capabilities
Section 6: Advanced Python Concepts and Tools
Lecture 33 Everything You Need To Know about : Recursion
Lecture 34 Exception Handling in python
Lecture 35 Unlock Python's Secret Weapon: The Power of enumerate()
Lecture 36 Supercharge Your Python Projects: Mastering Virtual Environments
Lecture 37 How import Works in Python: A Deep Dive into Module Magic
Lecture 38 Why if __name__ == "__main__" is Crucial for Your Python Scripts
Lecture 39 Harness the Power of Python's os Module
Lecture 40 Lambda Functions in Python: Quick, Flexible, and Essential
Section 7: File Handling in Python With ChatGPT
Lecture 41 Working with Files in Python
Lecture 42 Transform Your Text Files: Python Techniques for Editing and Updating
Lecture 43 Merging Files with ChatGPT
Lecture 44 Streamlining Excel Processing
Section 8: Mastering Object-Oriented Programming in Python
Lecture 45 Introduction to OOP
Lecture 46 Python Classes and Objects: Your Gateway to Object-Oriented Programming
Lecture 47 Understanding and Using Constructors in Python
Lecture 48 Decorators in Python: Elevate Your Code with These Essential Tools
Lecture 49 Implementing Getters and Setters in Python"
Lecture 50 Understanding Python Inheritance for Better Code
Lecture 51 From Public to Private: Understanding Access Modifiers in Python
Lecture 52 The Power of Static Methods in Python
Lecture 53 Instance Variables vs Class Variables
Lecture 54 Class methods as Alternative Constructors
Section 9: Advanced OOP Techniques and Python Modules
Lecture 55 Implementing Operator Overloading in Python
Lecture 56 Single Inheritance: Essential Concepts and Techniques
Lecture 57 Multiple and Multilevel Inheritance
Lecture 58 Hybrid and Hierarchical Inheritance
Lecture 59 Map, Filter and Reduce
Lecture 60 Efficient Time Handling in Python: Harness the Full Potential of the time Module
Lecture 61 HTTP Requests with Python's requests Module
Section 10: Python Performance and Advanced Techniques
Lecture 62 Generators in Python for Better Code
Lecture 63 Python Function Caching Explained
Lecture 64 Essential Guide to Regular Expressions in Python: Simplify Text Operations
Lecture 65 Async IO in Python for Scalable Applications
Lecture 66 Multithreading and Multiprocessing in Python for High-Performance Applications
Section 11: Data Analysis and Visualizations
Lecture 67 Generate Histograms and Descriptive statistics with ChatGPT
Lecture 68 Aggregate and Plot Timeseries Data with ChatGPT
Lecture 69 Exploratory Data Analysis (EDA) and Visualization
Lecture 70 Build Interactive Data Dashboards
Section 12: Build Desktop GUI Apps
Lecture 71 Creating and Running a Temperature Converter App on Thonny
Lecture 72 Glossary of GUI Widgets
Lecture 73 Building an Excel File Viewer Desktop GUI App with PyQt and Python
This course is designed for anyone keen on using Python and ChatGPT, no matter their background.
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.42 GB | Duration: 10h 1m
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.42 GB | Duration: 10h 1m
Master Python Programming Fundamentals, Object-Oriented Concepts, Advanced Techniques, and Data Analysis with ChatGPT
What you'll learn
Understand Python Fundamentals
Apply Object-Oriented Programming Principles
Implement Advanced Python Techniques
Execute File Handling and Data Management
Build and Deploy Desktop GUI Applications
Requirements
No programming skills or technical knowledge required, everything is shown step by step.
Description
Are you eager to dive into the world of Python programming but unsure where to start? Welcome to "Python Programming for Beginners with ChatGPT," a comprehensive course designed to guide you through the essentials of Python programming using the power of ChatGPT and Google Colab.In this course, you'll embark on a journey from the fundamentals to advanced concepts, all while leveraging the innovative capabilities of ChatGPT to enhance your learning experience. Here's what you'll gain:Introduction to ChatGPT: Learn how to harness ChatGPT to assist you with coding challenges, provide explanations, and streamline your learning process.Getting Started with Google Colab: Discover how to use Google Colab as your Integrated Development Environment (IDE) for coding, debugging, and executing Python code.Python Fundamentals: Master the core concepts of Python, including variables, control flow, and data types.Object-Oriented Programming (OOP): Understand the principles of OOP and how to apply them in Python.Advanced Topics: Delve into advanced Python topics such as recursion, operator overloading, multithreading, and multiprocessing.File Handling: Learn how to manage and manipulate files in Python.Data Analysis and Visualization: Explore techniques for analyzing and visualizing data using Python's powerful libraries.Building Desktop GUI Apps: Gain hands-on experience creating desktop applications with Python.This course is perfect for anyone looking to build a solid foundation in Python programming, whether you're a complete beginner or someone looking to enhance your skills. With step-by-step instructions, practical exercises, and real-world examples, you'll gain the confidence and knowledge needed to tackle Python projects and advance your programming journey.Enroll now and start building your Python programming skills with the support of ChatGPT and Google Colab!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Overview of ChatGPT (Optional Section)
Lecture 2 How to create a GPT account and explore GPT interface
Lecture 3 Free tools you can Access in ChatGPT
Lecture 4 Exploring ChatGPT's Paid Tools
Section 3: Python Fundamentals with ChatGPT
Lecture 5 What is Python? A Beginner's Guide with ChatGPT
Lecture 6 Introduction To Successful Coding
Lecture 7 Master Python Programming with ChatGPT: A Comprehensive Learning Guide
Lecture 8 Getting Started with Google Colab: A Sample Project to Inspire Your Journey
Lecture 9 Understanding Modules and pip in Python
Lecture 10 Understanding Comments, Escape Sequences, and the Print Statement in Python
Lecture 11 Understanding Operators in Python and a Coding Exericse
Lecture 12 How to Manage, Process, and Analyze Your Data
Lecture 13 Master Typecasting in Python: Convert Like a Pro!
Lecture 14 Interactive Python: How to Take and Use User Input Effectively
Lecture 15 Understanding and Using Strings in Python
Lecture 16 String Slicing and Operations in Python
Lecture 17 A Comprehensive Guide to Python String Methods
Section 4: Control Flow and Functions in Python
Lecture 18 Mastering Conditional Logic: If-Else Statements in Python
Lecture 19 Unlocking Python's Pattern Matching: A Guide to Match Case Statements
Lecture 20 From Zero to Loop Hero: Understanding For Loops in Python
Lecture 21 Everything You Need To Know About While-Loops
Lecture 22 Fine-Tuning Your Loops: Advanced Techniques with Break and Continue
Lecture 23 Python Functions Demystified: Building Blocks of Efficient Code
Section 5: Python Data Management and Task Handling
Lecture 24 Combining Text and Calculations in Python
Lecture 25 Building LLM Prompts with Variables
Lecture 26 Local VS Global Variables
Lecture 27 Completing a task List in python
Lecture 28 Prioritizing Tasks with Dictionaries and AI
Lecture 29 Tuples in Python for Better Data Management
Lecture 30 Sets and Set Methods in Python
Lecture 31 From Simple to Complex: Mastering Data Comparison Techniques in Python
Lecture 32 How to Enhance AI Decision-Making Capabilities
Section 6: Advanced Python Concepts and Tools
Lecture 33 Everything You Need To Know about : Recursion
Lecture 34 Exception Handling in python
Lecture 35 Unlock Python's Secret Weapon: The Power of enumerate()
Lecture 36 Supercharge Your Python Projects: Mastering Virtual Environments
Lecture 37 How import Works in Python: A Deep Dive into Module Magic
Lecture 38 Why if __name__ == "__main__" is Crucial for Your Python Scripts
Lecture 39 Harness the Power of Python's os Module
Lecture 40 Lambda Functions in Python: Quick, Flexible, and Essential
Section 7: File Handling in Python With ChatGPT
Lecture 41 Working with Files in Python
Lecture 42 Transform Your Text Files: Python Techniques for Editing and Updating
Lecture 43 Merging Files with ChatGPT
Lecture 44 Streamlining Excel Processing
Section 8: Mastering Object-Oriented Programming in Python
Lecture 45 Introduction to OOP
Lecture 46 Python Classes and Objects: Your Gateway to Object-Oriented Programming
Lecture 47 Understanding and Using Constructors in Python
Lecture 48 Decorators in Python: Elevate Your Code with These Essential Tools
Lecture 49 Implementing Getters and Setters in Python"
Lecture 50 Understanding Python Inheritance for Better Code
Lecture 51 From Public to Private: Understanding Access Modifiers in Python
Lecture 52 The Power of Static Methods in Python
Lecture 53 Instance Variables vs Class Variables
Lecture 54 Class methods as Alternative Constructors
Section 9: Advanced OOP Techniques and Python Modules
Lecture 55 Implementing Operator Overloading in Python
Lecture 56 Single Inheritance: Essential Concepts and Techniques
Lecture 57 Multiple and Multilevel Inheritance
Lecture 58 Hybrid and Hierarchical Inheritance
Lecture 59 Map, Filter and Reduce
Lecture 60 Efficient Time Handling in Python: Harness the Full Potential of the time Module
Lecture 61 HTTP Requests with Python's requests Module
Section 10: Python Performance and Advanced Techniques
Lecture 62 Generators in Python for Better Code
Lecture 63 Python Function Caching Explained
Lecture 64 Essential Guide to Regular Expressions in Python: Simplify Text Operations
Lecture 65 Async IO in Python for Scalable Applications
Lecture 66 Multithreading and Multiprocessing in Python for High-Performance Applications
Section 11: Data Analysis and Visualizations
Lecture 67 Generate Histograms and Descriptive statistics with ChatGPT
Lecture 68 Aggregate and Plot Timeseries Data with ChatGPT
Lecture 69 Exploratory Data Analysis (EDA) and Visualization
Lecture 70 Build Interactive Data Dashboards
Section 12: Build Desktop GUI Apps
Lecture 71 Creating and Running a Temperature Converter App on Thonny
Lecture 72 Glossary of GUI Widgets
Lecture 73 Building an Excel File Viewer Desktop GUI App with PyQt and Python
This course is designed for anyone keen on using Python and ChatGPT, no matter their background.
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