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Data Alchemy

Public • 19.7k • Free

31 contributions to Data Alchemy
Welcome to Data Alchemy - Start Here
The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!
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New comment 3h ago
Welcome to Data Alchemy - Start Here
2 likes • 3d
@Ons Snr Be welcome Ons Snr.
2 likes • 3d
@Michael Retchie Be welcome to the group. Take a look at the classroom.https://www.skool.com/data-alchemy/classroom
Bootstrapping Your Data Science Career: A Guide to Self-Learning Pathways
While not easy, bootstrapping your data science career is possible. Here's an overview of the most important skills and resource suggestions for learning them. https://www.kdnuggets.com/bootstrapping-your-data-science-career-a-guide-to-self-learning-pathways
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New comment 3d ago
2 likes • 6d
I already saw this article from KD Nuggets and it is really complete of usefull information. I try to keep most of this kind of material from daily.dev to concentrate it in one place.
16x Prompt -- A Prompt Editor for Source Code Output
https://prompt.16x.engineer/ ## Structured Prompt Creation for Coding 16x Prompt manages source code context and generates optimized AI coding prompts for complex tasks on existing codebases. - Code Context Management - Custom Instructions - Complex Tasks - API Integrations - Prompt Management - GPT-4o & Claude 3.5 - Token Limit Tracking - No Black Box
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New comment 11d ago
1 like • 12d
Surely helpful
10 GitHub Repositories to Master Data Science
Hello everybody. I've found this material and I think that it can be very useful specially for all Data Science beginners. I hope you enjoy it. Let me know. ... "Learn data science through interactive courses, books, guides, code examples, projects, and free courses based on top university curricula. Also, access interview questions and best practices. By Abid Ali Awan, KDnuggets Assistant Editor on July 11, 2024 in Data Science" ... https://www.kdnuggets.com/10-github-repositories-to-master-data-science?ref=dailydev
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New comment 12d ago
0 likes • 16d
@Faizi With AI Some times we need perhaps more alternatives to be able to choose the path we want to go or to study. In my case , even with the very good material delivered by Dave, I felt missing somethink for me personally and in these repo's I found some of the answers.
1 like • 13d
@Anaxareian Aia I'm actually studying in paralel to the "Data Alchemy Course" by Dave the material from OSSU for Data Science. Very interesting.
Python’s Vectorization Revolution: Optimizing Code Without Loops
Hi there, here is another recomendation from the german guy. Today I found something really usefull for the ETL area. Python is really a very good language but his biggest problem is perfomance and with big data there is a big problem. Normally what affects most times this performance are the loops used to treat the data in one or another way. And just here comes the help. Forget about using loops when possible and use vectorizing instead. The diference is enorm. And time is money as you should know. I hope you apreciate it. Let me know. https://www.javacodegeeks.com/2024/02/pythons-vectorization-revolution-optimizing-code-without-loops.html?ref=dailydev#google_vignette
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New comment 13d ago
1 like • 13d
@Gustavo Andrade just use the examples in chapter 5 to start, after that use our famous cousin remember ? the AI ? to suggest more examples and exercises. Seeking a bit about , you'll find more articles about. Just Google 😉
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Michael Dambock
5
294points to level up
@michael-dambock-8203
57 young german boy, living in Brazil, former programer, system analyst, project manager, now studying at home to switch to data Alchemy.

Active 3d ago
Joined Apr 28, 2024
Brazil
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