ChatGPT Prompt Engineering + ChatGPT Python Scripting Guide

Install python from python.org by selecting your operating system, downloading the latest version, and completing the installer; launch python from applications or the idle shell.

Learn how to download and install Visual Studio Code on Mac, Linux, and Windows, then open the editor, verify installation, and customize a theme.

Install Python inside Visual Studio Code by installing the Python extension from Microsoft, then select the Python interpreter via the command palette.

Learn the Python basics by defining variables as boxes for strings, integers, and floats. Include practical examples like naming conventions, quotes for text, and simple variable operations.

Learn how to create a Python list as a collection of strings like apple, mango, and cherry, append banana with list.append, and check length with len.

Explore four practical data container examples in Python: variables with strings, integers, and floats; a fruits list with append; and a personal info list containing a name and age.

Explore how to perform arithmetic in Python using plus, minus, multiply, and divide, handle case sensitivity, then combine numbers with strings and concatenate lists, printing results.

Learn Python conditionals by defining a length variable and using if, else, and else if. Print long, medium, or short based on greater than 100 or equals to 100.

Understand loop concepts in Python with practical ChatGPT scripting examples, including while and for loops, counter-based repetition, and iterating over lists to print dynamic messages.

Learn to define and call Python functions to reuse code, print text using f and curly brackets, and loop through a list of fruits like apple, banana, and cherry.

Learn how to organize Python scripts with modules, import external and built-in modules, and install new ones with pip, using practical examples in VS Code.

Identify and handle errors in Python scripts by using try and except to catch exceptions, print error messages such as zero division error, and debug with breakpoints in Visual Studio.

Learn how json, a lightweight JavaScript object notation, enables data exchange, and how to import the json module, use json.loads, and extract fields like age, name, and city in Python.

Learn what an API is and how to connect ChatGPT with your Python scripts to build automations using OpenAI API keys.

Learn practical web scraping with Python scripting by extracting website data using requests and Beautiful Soup, installing bs4, and parsing HTML to retrieve page titles.

Discover how to use ChatGPT for Python scripting, including code generation, optimization, and debugging, to build Python projects with modules and web scraping.

Connect OpenAI with Python by obtaining API keys, setting up a Python script in Visual Studio Code, and configuring costs and token usage for OpenAI services.

Connect Python with the OpenAI API using your API key, install the OpenAI module, and run a Python script to generate a response from ChatGPT with prompts.

Count tokens and estimate OpenAI API costs in Python using a tokenizer and a token counting function, with steps to install tick token.

Calculate cost estimation for lm models by token count and per 1000 token pricing across models such as gpt 3.5 turbo and gpt 4, using helpers to organize functions.

Learn to implement an llm generic function in python to switch between OpenAI and alternative lm providers like cohere and NLP cloud, with setup tips and api key configuration.

Master prompt templates and organize prompts in a dedicated project, import prompts, and generate text with templates such as a Twitter thread generator using OpenAI GPT-3.5 turbo.

Learn to organize and manage Python prompts efficiently in Visual Studio Code by creating a prompts folder, dividing files like block.py and productivity.py, and importing prompts for clean scripting.

Install and run the provided premium script, import the folder into Visual Studio Code, replace your API key, and use the prompts and helpers to automate tasks.

Learn to build a terminal-based chatbot with a Python script using ChatGPT, including updating API keys, testing chat replies, and applying chatbot automation for websites and online courses.

Explore text analysis and classification with a Python prompt that classifies sentences into food, sports, or business, using the text analyze prompt in your script.

Automate idea generation for new business domain names using prompts, imported ideas, and niche inputs, powered by Python scripting and code-free tools.

Install the newspaper module with pip, paste a URL into the block summarization script, and run it to generate bullet-point summaries. The LMS model automates article summarization for blog content.

Learn to generate concise bullet-point summaries from any YouTube video by pasting the URL, using the transcript and YouTube prompts to produce the summary.

Learn to convert a YouTube video into a Twitter thread by using a transcript, prompts, and a helper to generate tweet ideas and hashtags.