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.