Having used Jupyter Notebook for quite some time, I’ve always appreciated its flexibility, especially for data science and machine learning tasks. Some benefits I’ve enjoyed with Jupyter Notebook include:𝘐𝘯𝘵𝘦𝘳𝘢𝘤𝘵𝘪𝘷𝘦 𝘊𝘰𝘥𝘪𝘯𝘨: 𝘈𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘳𝘶𝘯 𝘤𝘰𝘥𝘦 𝘤𝘦𝘭𝘭-𝘣𝘺-𝘤𝘦𝘭𝘭, 𝘮𝘢𝘬𝘪𝘯𝘨 𝘪𝘵 𝘦𝘢𝘴𝘺 𝘵𝘰 𝘵𝘦𝘴𝘵 𝘢𝘯𝘥 𝘪𝘵𝘦𝘳𝘢𝘵𝘦 𝘰𝘯 𝘴𝘮𝘢𝘭𝘭 𝘤𝘩𝘶𝘯𝘬𝘴 𝘰𝘧 𝘤𝘰𝘥𝘦. 𝘙𝘪𝘤𝘩 𝘖𝘶𝘵𝘱𝘶𝘵: 𝘐𝘵’𝘴 𝘨𝘳𝘦𝘢𝘵 𝘧𝘰𝘳 𝘷𝘪𝘴𝘶𝘢𝘭𝘪𝘻𝘪𝘯𝘨 𝘥𝘢𝘵𝘢, 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘱𝘭𝘰𝘵𝘴 𝘪𝘯-𝘭𝘪𝘯𝘦, 𝘢𝘯𝘥 𝘦𝘷𝘦𝘯 𝘳𝘶𝘯𝘯𝘪𝘯𝘨 𝘮𝘢𝘳𝘬𝘥𝘰𝘸𝘯 𝘢𝘭𝘰𝘯𝘨𝘴𝘪𝘥𝘦 𝘤𝘰𝘥𝘦. 𝘌𝘢𝘴𝘦 𝘰𝘧 𝘚𝘩𝘢𝘳𝘪𝘯𝘨: 𝘛𝘩𝘦 𝘯𝘰𝘵𝘦𝘣𝘰𝘰𝘬 𝘧𝘰𝘳𝘮𝘢𝘵 𝘪𝘴 𝘦𝘢𝘴𝘺 𝘵𝘰 𝘴𝘩𝘢𝘳𝘦 𝘸𝘪𝘵𝘩 𝘱𝘦𝘦𝘳𝘴 𝘢𝘯𝘥 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘰𝘳𝘴, 𝘮𝘢𝘬𝘪𝘯𝘨 𝘪𝘵 𝘢 𝘨𝘰-𝘵𝘰 𝘧𝘰𝘳 𝘱𝘳𝘰𝘫𝘦𝘤𝘵 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯. However, recently I tried the Python interactive window in VS Code, and it's been a total game-changer for me! Here are a few things I like about it:𝘍𝘭𝘦𝘹𝘪𝘣𝘪𝘭𝘪𝘵𝘺: 𝘛𝘩𝘦 𝘪𝘯𝘵𝘦𝘳𝘢𝘤𝘵𝘪𝘷𝘦 𝘸𝘪𝘯𝘥𝘰𝘸 𝘤𝘰𝘮𝘣𝘪𝘯𝘦𝘴 𝘵𝘩𝘦 𝘣𝘦𝘴𝘵 𝘰𝘧 𝘣𝘰𝘵𝘩 𝘸𝘰𝘳𝘭𝘥𝘴—𝘑𝘶𝘱𝘺𝘵𝘦𝘳-𝘭𝘪𝘬𝘦 𝘤𝘦𝘭𝘭𝘴 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘱𝘰𝘸𝘦𝘳 𝘢𝘯𝘥 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘝𝘚 𝘊𝘰𝘥𝘦’𝘴 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘦𝘯𝘷𝘪𝘳𝘰𝘯𝘮𝘦𝘯𝘵. 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦𝘥 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: 𝘐 𝘤𝘢𝘯 𝘴𝘦𝘢𝘮𝘭𝘦𝘴𝘴𝘭𝘺 𝘴𝘸𝘪𝘵𝘤𝘩 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘴𝘤𝘳𝘪𝘱𝘵𝘴, 𝘵𝘦𝘴𝘵𝘪𝘯𝘨 𝘤𝘰𝘥𝘦, 𝘢𝘯𝘥 𝘶𝘴𝘪𝘯𝘨 𝘱𝘰𝘸𝘦𝘳𝘧𝘶𝘭 𝘝𝘚 𝘊𝘰𝘥𝘦 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘰𝘯𝘴, 𝘢𝘭𝘭 𝘸𝘪𝘵𝘩𝘪𝘯 𝘵𝘩𝘦 𝘴𝘢𝘮𝘦 𝘸𝘰𝘳𝘬𝘴𝘱𝘢𝘤𝘦. 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘋𝘦𝘣𝘶𝘨𝘨𝘪𝘯𝘨: 𝘝𝘚 𝘊𝘰𝘥𝘦’𝘴 𝘥𝘦𝘣𝘶𝘨𝘨𝘪𝘯𝘨 𝘤𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 𝘢𝘳𝘦 𝘧𝘢𝘳 𝘮𝘰𝘳𝘦 𝘢𝘥𝘷𝘢𝘯𝘤𝘦𝘥 𝘤𝘰𝘮𝘱𝘢𝘳𝘦𝘥 𝘵𝘰 𝘑𝘶𝘱𝘺𝘵𝘦𝘳, 𝘮𝘢𝘬𝘪𝘯𝘨 𝘪𝘵 𝘦𝘢𝘴𝘪𝘦𝘳 𝘵𝘰 𝘵𝘳𝘰𝘶𝘣𝘭𝘦𝘴𝘩𝘰𝘰𝘵 𝘤𝘰𝘥𝘦. 𝘉𝘦𝘵𝘵𝘦𝘳 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦: 𝘛𝘩𝘦 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦𝘥 𝘦𝘯𝘷𝘪𝘳𝘰𝘯𝘮𝘦𝘯𝘵 𝘢𝘭𝘭𝘰𝘸𝘴 𝘮𝘦 𝘵𝘰 𝘮𝘢𝘯𝘢𝘨𝘦 𝘭𝘢𝘳𝘨𝘦𝘳 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘴𝘭𝘰𝘸𝘪𝘯𝘨 𝘥𝘰𝘸𝘯 𝘮𝘺 𝘴𝘺𝘴𝘵𝘦𝘮 𝘢𝘴 𝘮𝘶𝘤𝘩 𝘢𝘴 𝘑𝘶𝘱𝘺𝘵𝘦𝘳 𝘴𝘰𝘮𝘦𝘵𝘪𝘮𝘦𝘴 𝘥𝘰𝘦𝘴. The beauty of the Python Interactive Window is that you can execute your code lines cell-by-cell, visualize the plot, and quickly modify the code—all without leaving the VS Code editor. It also allows for in-line visualizations just like in Jupyter but with more control over the overall environment:If you’ve been using Jupyter Notebook for your Python work, I highly recommend giving the Python Interactive Window a try in VS Code. #Python #VSCode #JupyterNotebook #DataScience #MachineLearning hashtag#Productivity #PythonDevelopment #CodeSnippet #DevTools #TechInnovation

Unstract: No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents It is worth learning Python for real, but for those who haven't yet, if you want to pay for it, or know a geek who can set this up for you, this plus automation tools like Make or n8n allows you to get a lot done for business automation. Sheesh! I need more time. (Don't we all. LOL!)

I'm just starting to learn Python, but I know from learning other programming languages that writing numerous programs in the new programming language cements how to use the new language in my mind. Here are quite a few free Python coding challenges for Python students at the beginning, intermediate, and advanced levels: https://www.101computing.net/category/python-beginner/ https://www.101computing.net/python-challenges-intermediate-level/ https://www.101computing.net/category/python-advanced/ 300 solutions are available if you need help programming in Python, HTML/CSS/JavaScript, LMC, SQL, etc., but that requires registering as a member for £35 per year (about US$45 at today's exchange rates). If I truly got stuck, I would probably just post a question on Stackoverflow.com or else choose another programming challenge. Here is the list of solved challenges for members: https://www.101computing.net/solved-challenges/

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!

Just earned enough credits for posting here. This is my very first time learning coding and I didn’t know any relating knowledge at all before entering this course, so I made some silly mistakes when installed Anaconda. Just wanted to write down this bad experience on installing Anaconda, share them with someone like me lacking even very basic skill in this field, and also earn myself some credits on this platform. I should have downloaded the installer for intel chip, but I mistakenly downloaded the one for apple silicon instead. I had tried several times for installing before I found out this mistake, which wasted a lot of time. When I tried to use the intel-chip installer, it said “anaconda3 already exists”, which made me confused again because I didn’t finish the installment at all. Then I had to go to Finder to delete all files named ‘anaconda’. After these problems, I then got a "permission denied" message during the installation process. I searched this problem on google and finally solved it by typing ‘chmod +x’ into terminal. When I looked back into these small silly mistakes, I found that they were not that difficult to be solved; however, they cost me a lot of time, which made me worry about my future learning process in this course. “I may encounter even worse problems and stuck on them”--this negative expectation was really frightening me. But as I left comments on this platform expressing my worries, I then got lots of encouragement from classmates in this course, which made me feel much better. You are all very helpful! Thanks very much for all your kind words and valuable help!