ChatGPT Accelerated Python: Complete Python Guide 2024
ChatGPT Accelerated Python: Complete Python Guide 2024, available at $109.99, has an average rating of 4.47, with 109 lectures, 3 quizzes, based on 194 reviews, and has 5840 subscribers.
You will learn about Python: Fundamentals, user setup, interface, control flow, syntax, data types, functions, and much more! Continue to Grow: Expand your Python skills with newly added learning lessons on a regular basis! Develop Code: Handle common errors and learn the process of debugging, fixing real life problems with critical thinking and ChatGPT! ChatGPT: Engineer the perfect prompts, improve your code, and iterate your coding projects faster than ever before! Learning Activities: Test your knowledge and bring your newly honed skills to life! Create Your Own: Utility scripts, web servers, games, API integrations, and more! Python: API Integrations, modules, re-factoring, and finding real world coding solutions! ChatGPT: Generate code in seconds, the future of coding, and maximizing ChatGPT's output. This course is ideal for individuals who are Beginner developers who are interested to learn more about coding It is particularly useful for Beginner developers who are interested to learn more about coding.
Enroll now: ChatGPT Accelerated Python: Complete Python Guide 2024
Summary
Title: ChatGPT Accelerated Python: Complete Python Guide 2024
Price: $109.99
Average Rating: 4.47
Number of Lectures: 109
Number of Quizzes: 3
Number of Published Lectures: 108
Number of Published Quizzes: 3
Number of Curriculum Items: 112
Number of Published Curriculum Objects: 111
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Python: Fundamentals, user setup, interface, control flow, syntax, data types, functions, and much more!
- Continue to Grow: Expand your Python skills with newly added learning lessons on a regular basis!
- Develop Code: Handle common errors and learn the process of debugging, fixing real life problems with critical thinking and ChatGPT!
- ChatGPT: Engineer the perfect prompts, improve your code, and iterate your coding projects faster than ever before!
- Learning Activities: Test your knowledge and bring your newly honed skills to life!
- Create Your Own: Utility scripts, web servers, games, API integrations, and more!
- Python: API Integrations, modules, re-factoring, and finding real world coding solutions!
- ChatGPT: Generate code in seconds, the future of coding, and maximizing ChatGPT's output.
Who Should Attend
- Beginner developers who are interested to learn more about coding
Target Audiences
- Beginner developers who are interested to learn more about coding
Do you want to learn how to use Pythonand ChatGPT faster than ever, but don’t know where to start? Perfect! You’ve made it to the right course.
In this concise quick start coding guide, no time is wasted teaching you everything you need to know about programming with Python and supercharging your coding with ChatGPT. Meet your instructor, Cobalt, who has been professionally writing code for 25 years and teaching beginners and experienced programmers to write and improve their code regardless of skill level and experience.
By the end of the course, you will have learned the following skills:
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Python Fundamentals
An introduction to Python, including an in-depth walkthrough of the Pycharm website layout and interface. You’ll learn about the basic concepts of programming, such as the anatomy of a script, algorithms, variables, data types, and an overview of Python as a programming language. From there, we’ll dive deeper into control flow and the choices the language makes based on branching structures, and how to handle common errors through the process of debugging.
– Getting started with Python
– Understand control flow, syntax, data types, and functions
– Develop your own custom code -
ChatGPT: Fix and Supercharge Your Code
A step-by-step guide to ChatGPT, including the program interface and how to create an OpenAI account. You’ll then use a pre-rolled prompt that generates code in ChatGPT. You’ll learn how to refine your prompts, ChatGPT’s basic algorithms and efficiency, its weaknesses and limitations, how to fix coding issues, and how to prompt the chatbot to explain sorting algorithms.
– Strengths and weaknesses of ChatGPT
– Use ChatGPT to quickly write code
– Prompt ChatGPT to improve and iterate your coding projects faster than ever before -
Build Your Own Utility Script
You will familiarize yourself with the anatomy of a script and how to create a piece of code that is designed to perform specific auxiliary tasks or provide additional functionality to other main programs. Additionally, understanding the interplay between the main program and these auxiliary scripts will enhance your efficiency and problem-solving skills in coding.
– Fundamentals of utility scripts
– Learn simplified code like operators, whitespace, control flow, and interaction
– Dive into the script anatomy of a calculator script -
Create a Customized Web Server
You will dive into the world of modules and re-factoring to build your own web server. Use Python to optimize importing from external libraries and eliminate various time-consuming tasks.– Basics of modules and re-factoring
– Make new modules
– Learn about packaging and pip to turn your own library into a package -
Design Your Own Games
You will explore the concept of packing object data together with code as well as inheritance to build your own games. Write code to define the game’s behavior and test gameplay to ensure smooth functionality and user experience.
– Build your own Blackjack game and more
– Embed GPT into games like Cards Against Humanity
– Write a card game of your choice using your own card library -
Engineer Custom API Architecture
You will learn about the best practices of file I/O (input and output) in Python, modes of file access, handling exceptions in file I/O, API endpoint, basic POST endpoint, and JSON data structures to understand API integration and architecture.
– Use GPT to write the boilerplate for a call to an outside API
– Write API integration for a social media platform
– Write API integration to auto-submit your resume to LinkedIn
What to expect:
This class brings together everything you need to know to become proficient as a coderandhavethe confidence to go out and create incredible things in the world with ethical technology practices.
Our biggest goal for you:
By the end of this course, you’ll go from a complete beginnerto Python + ChatGPT pro with everything you need to apply your new coding skillsetand create 10x faster and easierthan ever before!
Why enroll today:
We’ll be adding 100 brand-new lectures per yearto this course! So once you enroll, you’ll have lifetime accessto the ever–growing course content libraryand learning activities!
You’ll have lifetime access to:
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108video lectures
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12hours oflearning lessons
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4 online articles
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100 gigs of streamable content
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Lifetimeaccess to the tutorials and assets
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Updates to all future course materials
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Teacher responses in the Q&A section
If you’re ready to learn the latest technologies to make your visions real, then hit the enroll button and let’s get started!
Course Curriculum
Chapter 1: Let's Get Started with Python and ChatGPT!
Lecture 1: Welcome to this Course
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: (Download) Glossary of Keywords Used in this Course
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
Chapter 2: Introduction to Python, PyCharm, and Prompting with ChatGPT
Lecture 1: PyCharm Installation and Quick Start
Lecture 2: PyCharm Installation Instructions
Lecture 3: Elements of Python
Lecture 4: Programming Concepts: Anatomy of a Script
Lecture 5: Basic Syntax, Data Types, and Operators in Python
Lecture 6: Article: Basics of Python
Lecture 7: Introduction to Prompt Engineering
Lecture 8: Imports and Modules Part 1
Lecture 9: Imports and Modules Part 2
Lecture 10: Learning Activity: Build Your Own Calculator
Chapter 3: More Control Flow, Collections, and Comprehension
Lecture 1: More Control Structures
Lecture 2: Build Your Own Blackjack Game
Lecture 3: Build Your Own Password Generator
Lecture 4: Package Data and Logic Together to Create a Class Part 1
Lecture 5: Package Data and Logic Together to Create a Class Part 2
Lecture 6: Collections in Python
Lecture 7: Learn Comprehension: Compressing a Large Amount of Logic into One Line of Code
Lecture 8: Learning Activity: Using ChatGPT to Build a Name Generator
Chapter 4: Inheritance and Object Oriented Programming
Lecture 1: Objects and Inheritance Part 1
Lecture 2: Objects and Inheritance Part 2
Lecture 3: Objects and Inheritance Part 3
Lecture 4: Learning Activity: Create Your Game Own Game Using Object Oriented Programming
Chapter 5: Improving Code, Distributing Your Application, and Readability with ChatGPT
Lecture 1: Limitations and Weaknesses of ChatGPT
Lecture 2: Comments and Readability of Code
Lecture 3: Improving Your Code with ChatGPT
Lecture 4: Distributing Your Application
Lecture 5: Learning Activity: Improve and Optimize Your Past Algorithms
Chapter 6: API Integration: Using Data from the Real World
Lecture 1: API and Outside Data
Lecture 2: API Endpoint: What Is It? Why Is It Different from a Website?
Lecture 3: Article: RESTful Development
Lecture 4: Writing a Basic POST Endpoint Part 1
Lecture 5: Writing a Basic POST Endpoint Part 2
Lecture 6: Manipulating JSON Data Structures in Python
Lecture 7: Learning Activity: API Integration for Social Media Platforms
Chapter 7: Everything You Need to Know About Python File I/O
Lecture 1: Introduction to File Input and Output in Python
Lecture 2: Modes of File Access in Python
Lecture 3: Article: Other Data Persistence Options
Lecture 4: Handling Exceptions in File I/O
Lecture 5: Best Practices for File I/O in Python Part 1
Lecture 6: Best Practices for File I/O in Python Part 2
Lecture 7: Binary Files: A Visual Introduction
Lecture 8: Learning Activity: Automated Job Applications (Linkedin)
Chapter 8: Modules and Re-Factoring
Lecture 1: Modules Revisited
Lecture 2: Making a New Module: Blackjack Revisited
Lecture 3: Partial Library and Module Imports
Lecture 4: Article: Best Practices for Factoring Modules
Lecture 5: Libraries are Modules and Modules are Libraries
Lecture 6: Packaging, Pip, and Setup.py
Lecture 7: Learning Activity: More Games
Chapter 9: Using GPT and Embedding It Into Your Games
Lecture 1: How GPT Works and What It Can Do for You
Lecture 2: Adding a Chatty Interface That Uses Your REST API to Get Its Data
Lecture 3: Limitations of This Library
Lecture 4: AI Ethics and Societal Impact
Lecture 5: Learning Activity: Embedding GPT into Your Games (Cards Against Humanity)
Chapter 10: AI Ethics, Open Source Community, and the Future of Coding
Lecture 1: How AI will Affect the Future of Coding
Lecture 2: The Open Source Community & AI Ethics
Lecture 3: The Open Source Community & AI Ethics Part 2
Lecture 4: What's on the Horizon
Chapter 11: Structured Data, Using CSVs, and API Integrations
Lecture 1: Introduction to Structured Data Part 1
Lecture 2: Introduction to Structured Data Part 2
Lecture 3: Using CSVs
Lecture 4: Getting Weather from an API Part 1
Lecture 5: Getting Weather from an API Part 2
Lecture 6: Getting Weather from an API Part 3
Lecture 7: Introduction to Predictive Models
Chapter 12: Data Science and Predictive Models
Lecture 1: Introduction to What Model's Do
Lecture 2: Quick Win!
Lecture 3: Model Type: Linear Regression
Lecture 4: Complex Data Sources
Lecture 5: Demo: What Else Can We Predict?
Lecture 6: Model Type: K Means Clustering Part 1
Lecture 7: Model Type: K Means Clustering Part 2
Lecture 8: Model Type: K Means Clustering Part 3
Chapter 13: Code Optimization: Complexity, Decidability, and Tractability
Lecture 1: Introduction to Complexity
Lecture 2: Advanced Complexity Part 1
Lecture 3: Advanced Complexity Part 2
Instructors
-
Leap Year Learning
Learn the Skills of the Future -
Cobalt Barnett
Software Development Instructor
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 4 votes
- 3 stars: 11 votes
- 4 stars: 51 votes
- 5 stars: 124 votes
Frequently Asked Questions
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