Chatgpt Accelerated Python: Complete Python Guide

Chatgpt Accelerated Python: Complete Python Guide
Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Learn Programming in Python 10x Faster & Easier Using ChatGPT | Supercharge Your Coding with ChatGPT + Python

What you’ll learn

Python: Control flow, syntax, data types, and functions

ChatGPT: Write, improve, and iterate your coding projects faster than ever before

Develop Code: Handle common errors and learn the process of debugging, fixing real life problems with critical thinking and ChatGPT

Learning activities to test your knowledge and bring your newly honed skills to life

Build Your Own Utility Script, Web Server, Game, or API

Requirements

No coding experience needed. You will learn everything you need to know in this course.

Description

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Introduction to Python and GPT-Assisted Programming

Lecture 3 What You’ll Need to Complete this Course Succesfully

Lecture 4 What is a Program and Language?

Lecture 5 Glossary

Lecture 6 Introduction to ChatGPT Basics

Lecture 7 ChatGPT Codes an Adventure Game in Seconds!
Lecture 8 Here is the Code for the Adventure Game
Section 2: Introduction to Python

Lecture 10 PyCharm Installation Instructions

Lecture 11 Elements of Python

Lecture 12 Programming Concepts: Anatomy of a Script

Lecture 13 Basic Syntax, Data Types, and Operators in Python

Lecture 15 Introduction to Prompt Engineering

Lecture 18 Learning Activity: Build Your Own Calculator

Section 3: More Control Flow with Python

Lecture 19 More Control Structures

Lecture 20 Build Your Own Blackjack Game

Lecture 21 Build Your Own Password Generator

Lecture 24 Collections in Python

Lecture 25 Learn Comprehension: Compressing a Large Amount of Logic into One Line of Code

Lecture 26 Learning Activity: Using ChatGPT to Build a Name Generator

Section 4: 4. Objects, Inheritance, and Building Your Own Game

Lecture 30 Learning Activity: Create Your Game Own Game Using Object Oriented Programming (

Section 5: More Fun with ChatGPT

Lecture 31 Limitations and Weaknesses of ChatGPT

Lecture 32 Comments and Readability of Code

Lecture 33 Improving Your Code

Lecture 34 Distributing Your Application

Lecture 35 Learning Activity: Improve and Optimize Your Past Algorithms

Section 6: API Integration: Using Data from the Real World

Lecture 36 API and Outside Data

Lecture 37 API Endpoint: What Is It? Why Is It Different from a Website?

Lecture 39 Writing a Basic POST Endpoint

Lecture 40 Manipulating JSON Data Structures in Python

Lecture 41 Learning Activity: API Integration for Social Media Platforms

Section 7: File I/O

Lecture 42 Introduction to File Input and Output in Python

Lecture 43 Modes of File Access in Python

Lecture 45 Handling Exceptions in File I/O

Lecture 46 Best Practices for File I/O in Python

Lecture 47 Binary Files: A Visual Introduction

Lecture 48 Learning Activity: Automated Job Applications (Linkedin)

Section 8: Modules and Re-Factoring

Lecture 49 Modules Revisited

Lecture 50 Making a New Module: Blackjack Revisited

Lecture 53 Libraries are Modules! Modules are Libraries!

Lecture 54 Packaging, pip, and setup.py

Lecture 55 Learning Activity: More Games

Section 9: GPT for GPT

Lecture 56 How GPT Works and What It Can Do for You

Lecture 57 Adding a Chatty Interface That Uses Your REST API to Get Its Data

Lecture 58 AI Ethics in 15 minutes

Lecture 59 Learning Activity: Embedding GPT into Your Games (Cards Against Humanity)

Section 10: Course Conclusion

Lecture 60 Course Conclusion

Lecture 61 Limitations of This Library

Beginner developers who are interested to learn more about coding