Dis This: Disassemble Python code online
http://blog.pamelafox.org/2023/02/dis-this-disassemble-python-code-online.html
http://blog.pamelafox.org/2023/02/dis-this-disassemble-python-code-online.html
blog.pamelafox.org
Dis This: Disassemble Python code online
When I was a lecturer at UC Berkeley teaching Python to thousands of students, I got asked all kinds of questions that got me digging deep...
Polymath
Convert any music library into a music production sample-library with ML.
https://github.com/samim23/polymath
Convert any music library into a music production sample-library with ML.
https://github.com/samim23/polymath
GitHub
GitHub - samim23/polymath: Convert any music library into a music production sample-library with ML
Convert any music library into a music production sample-library with ML - samim23/polymath
airbytehq / airbyte
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
https://github.com/airbytehq/airbyte
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
https://github.com/airbytehq/airbyte
GitHub
GitHub - airbytehq/airbyte: The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to…
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted. ...
Data Scientist in the Aerospace industry - I'm going to start posting daily practical videos instead of the abundant theoretical knowledge I see everywhere, check me out and let me know how I can improve the format
https://www.reddit.com/r/Python/comments/115l10k/data_scientist_in_the_aerospace_industry_im_going/
https://www.reddit.com/r/Python/comments/115l10k/data_scientist_in_the_aerospace_industry_im_going/
Reddit
r/Python on Reddit: Data Scientist in the Aerospace industry - I'm going to start posting daily practical videos instead of the…
Posted by u/Automatic_Log_500 - 645 votes and 40 comments
Migrating from Flask to FastAPI, Part 2
Here's the second part of the blog series about the migration from Flask to FastAPI. In this one we'll see all the main code changes and refactors you would need to do.
https://engineering.forethought.ai/blog/2023/02/14/migrating-from-flask-to-fastapi-part-2/
Here's the second part of the blog series about the migration from Flask to FastAPI. In this one we'll see all the main code changes and refactors you would need to do.
https://engineering.forethought.ai/blog/2023/02/14/migrating-from-flask-to-fastapi-part-2/
engineering.forethought.ai
Migrating from Flask to FastAPI, Part 2 - Forethought AI Engineering
Welcome to the Forethought AI engineering team's blog! We are a group of software engineers, data scientists, and machine learning experts who are committed to building innovative solutions to improve the efficiency and effectiveness of customer service teams.
Analyzing How Much Time I Spend in Meetings
I will show you how I ran some simple analytics on my Google Calendar history over almost 7 years. I used SingleStoreDB for this, but it should be straightforward to do this with any database.
https://davidgomes.com/analyzing-how-much-time-i-spend-in-meetings-using-sql-and-python/
I will show you how I ran some simple analytics on my Google Calendar history over almost 7 years. I used SingleStoreDB for this, but it should be straightforward to do this with any database.
https://davidgomes.com/analyzing-how-much-time-i-spend-in-meetings-using-sql-and-python/
David Gomes
Analyzing How Much Time I Spend in Meetings (using SQL and Python)
tl;dr: I will show you how I ran some simple analytics on my Google Calendar history over almost 7 years. I used SingleStoreDB for this, but it should be straightforward to do this with any database. Skip to the second part if you don’t care about the technical
Man and machine: GPT for second brains
In this post, I discuss how I used GPT embeddings to build a smart search tool for my second brain note-taking system.
https://reasonabledeviations.com/2023/02/05/gpt-for-second-brain/
In this post, I discuss how I used GPT embeddings to build a smart search tool for my second brain note-taking system.
https://reasonabledeviations.com/2023/02/05/gpt-for-second-brain/
Reasonabledeviations
Man and machine: GPT for second brains · Reasonable Deviations
Academic blog about quantitative finance, programming, maths.
How to Use FastAPI: A Detailed Python Tutorial
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own APIs!
https://www.youtube.com/watch?v=SORiTsvnU28
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own APIs!
https://www.youtube.com/watch?v=SORiTsvnU28
YouTube
How to Use FastAPI: A Detailed Python Tutorial
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own…
In this tutorial, I'll show you how to get started with FastAPI in Python. By the end of this video, you'll know everything you need to get started with developing your own…
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time.
https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time.
https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html
Sebastian Raschka, PhD
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
In this article, we are going to understand how self-attention works from scratch. This means we will code it ourselves one step at a time. Since its introdu...
The state of Python in blockchain - 2023 report
This report provides an overview of the current state of Python programming language technologies in blockchain software development ecosystems for 2023. We examine blockchain projects and tooling that use Python or are related to Python and why this overlap is significant. We highlight new and exciting projects and opportunities for Python developers.
https://tradingstrategy.ai/blog/the-state-of-python-in-blockchain-in-2023
This report provides an overview of the current state of Python programming language technologies in blockchain software development ecosystems for 2023. We examine blockchain projects and tooling that use Python or are related to Python and why this overlap is significant. We highlight new and exciting projects and opportunities for Python developers.
https://tradingstrategy.ai/blog/the-state-of-python-in-blockchain-in-2023
Trading Strategy
The state of Python in blockchain - 2023 report
An overview of Python programming language technologies in blockchain software development ecosystems in 2023.
ResearchGPT
An open-source LLM based research assistant that allows you to have a conversation with a research paper.
https://github.com/mukulpatnaik/researchgpt
An open-source LLM based research assistant that allows you to have a conversation with a research paper.
https://github.com/mukulpatnaik/researchgpt
GitHub
GitHub - mukulpatnaik/researchgpt: A LLM based research assistant that allows you to have a conversation with a research paper
A LLM based research assistant that allows you to have a conversation with a research paper - mukulpatnaik/researchgpt
The problem with float32: you only get 16 million values
Libraries like NumPy and Pandas let you switch data types, which allows you to reduce memory ...
https://pythonspeed.com/articles/float64-float32-precision/
Libraries like NumPy and Pandas let you switch data types, which allows you to reduce memory ...
https://pythonspeed.com/articles/float64-float32-precision/
Python⇒Speed
The problem with float32: you only get 16 million values
Switching from float64 (double-precision) to float32 (single-precision) can cut memory usage in half. But how do you deal with data that doesn’t fit?