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9 contributions to Data Alchemy
Feb 27 •
Searching for good learning sources for GenAI in pure Python
Hey I'm new here. Currently I want to finish my Python learning soon and then start my deep dive into the GenAI field. I already searched for good learning sources (thats why I ended up here 😅) but noticed that a lot of the GenAI tutorials immediately start with using frameworks. Mainly LangChain and LlamaIndex seem to be the choices for tutorials with RAG, Agents, etc. As easy as it may be to get started with 2 lines of code with a framework, I actually like to learn what is going on behind the scenes and how the different systems actual work. Furthermore Dave and other experts mention that these Frameworks are rarely used in production. My thinking is I want to learn it right and in detail from the get go instead of having everythin important abstracted away. So, do you have good sources for learning material that focuses on pure Python and explains the basic and advanced concepts? - Interacting with APIs - Handling Memory - RAG - Agents (Dave has a nice YT tutorial) - Making Agents talk to each other (like CrewAI) - ... Im thankful for every suggestion ☺️
1 like • Feb 28
The course sounds good. But I actually looking for a course that doesn't use the mentioned frameworks like LangChain or LlamaIndex 😅 I really want to understand the basics and whats going on behind the scenes and only then start to have a look at the frameworks. So pure Python for now. I probably start with Dave's tutorial about Agents and skim through the API documentations
0 likes • Feb 28
@Garrett Hussey Yes, I'm doing the MOOC Python course from the university of Helsinki. It's completely free. I really like that the actual explanations are just a short introduction and some examples and then a lot of coding practices. You can check it out here: https://programming-25.mooc.fi/
Feb 28 •
Free LangChain YT course by James Briggs
Hey guys. James Briggs just dropped a 5h LangChain Mastery course a few houers ago. For those of you who are interested in learning LangChain this is probably a good resource. I haven't watched it yet as I want to start Framework-less but James Briggs teached me quite a lot in the early Open API days. I think he has a good and example orientated teaching style :) https://www.youtube.com/watch?v=Cyv-dgv80kE
Jul '23 •
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!
10 likes • Feb 27
Hey I recently started to learn Python and looking forward to build my first AI powered projects soon. I hope I can find some valuable information, recommendations and help how to tackle the big field of Python + AI development :)
5 likes • Feb 28
@Lucas Lirio Danciguer Hey, start slow by just getting a knowledgebase into it and slowly move to Apps that analyze code or data and visualize the results :) Automated content generation would also be interesting. A big hobby project would also be a Pen & Paper Tool with different functionalities. But first start with the basics so I get not over my head :D
Nov '23 •
Unlock New Courses at Level 3
Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!
2 likes • Feb 27
Nice, now I have just to reach lvl 3 😅
Feb 27 •
Best source to learn Python (FREE)
Hi Everyone! Python is one of the main languages regarding the content we have here on Data Alchemy. So, I want to share one of best courses I’ve seen so far to Learn Python: Boot.dev They have a step-by-step platform that teaches all you need to get used to the language. For each lesson, you have a assignment to accomplish Beside the python course they also have lessons on Git, Terminals and all the main back-end skills, including helping you to build your own projects. On top of it, they also have a full walktrough on youtube for each course they have, so you can watch it along with the course, it’s almost like have a mentor. Oh, i have to metion: you can learn it totally for free, but they have some features that can speed up your learning process (but i did everything using VsCode, for free), like an friendly AI trained to teach you without giving the direct answer. Is the way I learnt Python. Have you utilised it? How did you Learnt python?
10 likes • Feb 27
I can highly recommend the MOOC Python course from the university of helsinki. https://programming-25.mooc.fi/ Its completely for free and divided into two parts. 1. Introduction to Programming (7 parts) Here you learn all the basics Python has to offer 2. Advanced course in Programming (7 parts) Here it gets into more complex topics like OOP Each part is divided into 4-5 different, more or less related, sub topics. Each topic starts with a short introduction, some examples and then a few Coding exercises with increasing difficulty. The exercises are small projects and leet code problems you have to solve with the introduced features from the current topic. The first few parts use an online python interpreter so that you can check the results directly on their site. Later on they use Visual Studio Code and a special extension to get you into working with an IDE. The extension tests your code and sends the solution to their server. After you've passed you can also see the model solution. I really enjoy it (recently started the advanced part). Especially that you have to actually code stuff and are not just reading/following along. Some of the exercises can be really hard and you might spend some time on solving it. But with Github Copilot being free now, you probably can use it to help find bugs and pointing you in the correct direction. So a big +1 for the Helsinki Python MOOC :) But I also had Boot.dev on my list of possible resources, I may give it a visit :)
6 likes • Feb 27
@Lucas Lirio Danciguer Thanks, I just had a quick look again and noticed I alreada have an account there :D Maybe I was confused in the past because they mention this on the right side: "You can demo the first few chapters of each course for free. After that, you'll need to become a member to unlock full access." But it seems I can go through most of the courses and jump to each lecture.
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