#mathbyteacademy #python

A highly useful extension to Python dictionaries for simplified access to keys in dictionaries and nested dictionaries, as well as a slew of methods to traverse dictionaries, filter key/value pairs, flatten nested dictionaries, and…

So you just recently upgraded your Python software, but your existing Python virtual environments are still trying to use older version of Python. In quick video, I will show you how to upgrade your virtual environment's Python with in less than two minutes.…

#mathbyteacademy #python

In this video we explore the Tenacity library that provides a very easy and powerful mechanism to add retry behavior to any piece of code. Very useful in a variety of scenarios such as retrying API calls when they time out or get…

#mathbyteacademy #python

Using Python's SimpleNamespaces to deserialize JSON data. A simpler approach than Pydantic, and a cleaner attribute access syntax than dictionaries.


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In this video, I am going to show you how to use the Tavily Search API to add web search functionality to your LLMs and RAG application in Python. Tavily Search API is also compatible with LangChain.

📺 Also checkout "How to integrate Tavily Search API in…

In this beginner friendly tutorial, I will show you how to create a translator LLM web app using LangChain and FastAPI in Python.

📋 Source Code: https://www.patreon.com/posts/source-code-llm-106203957

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This is a two-part set of videos that looks into how to hook up Pydantic models to data returned by queries run against a Postgres database using the `psycopg` library.

In Part 1, we'll look at how to run Postgres locally using…

#mathbyteacademy #python

This is Part 2 of a two-part set of videos that looks into how to hook up Pydantic models to data returned by queries run against a Postgres database using the `psycopg` library.

In Part 1, we looked at how to run Postgres locally…

📋 Source Code: https://www.patreon.com/posts/source-code-web-106568987

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#mathbyteacademy #python

When you have long running processes, whether in Python apps or Jupyter notebooks, don't just give your users a blank screen where things look frozen. After about 10 seconds they're going to think the app crashed or is stuck! Instead…