|3 months ago||2 months ago|
|Jupyter Notebook||Jupyter Notebook|
|MIT License||MIT License|
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RI 51515 Question on concurrent movement?
I thought the same. However, there is actually a way, although it is a bit more hidden and it isn't defined in the official documentation. In short, you can access that functionality not through MSHub, but through hub. Take a look at the example mshub_vs_hub, where I explain it in more detail. (If that link doesn't work, try this one then).
Natively, I'm afraid no, there is no way. I've managed to get a setup working using Spyder/Jupyter, but that's mostly for generating notebooks that are easy to read and that can provide an explanation of what's going on in a nice format. There's still some copy/paste going on to get the actual code into the robot through the LEGO Mindstorms app.
Using co-routines, as proposed by David Lechner (actual code here). I tried this approach in Charlie's drum_solo activity and it works quite well.
Other programing options?
3 projects | /r/learnprogramming | 4 May 2023
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
Mastering Data Science: Top 10 GitHub Repos You Need to Know
10 projects | dev.to | 24 Apr 2023
7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.
Resources for Current DE Interested in Learning Data Science
3 projects | /r/dataengineering | 17 Apr 2023
What are the best Python libraries to learn for beginners?
7 projects | /r/learnpython | 30 Jan 2023
Best Websites For Coders
51 projects | dev.to | 25 Jan 2023
Data Science course : Python Data Science Handbook
What are some good useful libraries I can get the hang of?
3 projects | /r/learnpython | 18 Jan 2023
I learnt all the basics about python and had interest in learning about "AI development with python". and now I'm stuck cuz I don't know where to start. Can anyone give some advice to me ?
2 projects | /r/Python | 30 Dec 2022
Something that helped me get started is this git repo: https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks It covers all the basics of data analysis using numpy, pandas and matplotlib.
Learn Python with CFB tutorial
2 projects | /r/CFB | 2 Dec 2022
Thanks! Will do. I work full time on data engineering/geospatial big data analytics, so I haven't had the energy to do this in the evenings or weekends yet. I do plenty of work with regression (but not in an MLOps sense) and dimensionality reduction (we do PCA). So in my mind my gap is (1) actual neural network work and (2) familiarity with workflows using e.g. pytorch or scikit-learn or something similar. Any pointers on where to get started resource-wise? Been thinking of starting with Ch.5 here and moving on from that: https://jakevdp.github.io/PythonDataScienceHandbook/. I have some projects in mind (including some predictive CFB model) so will start that up on the side while doing some of these tutorials.
What programming language should I learn and what skills should I learn
2 projects | /r/industrialengineering | 1 Sep 2022
Yeah! Ofc. So for R: https://r4ds.had.co.nz Python: https://jakevdp.github.io/PythonDataScienceHandbook/ SQL: I had to get a book, but this would be a good place to start: https://datascience.foundation/sciencewhitepaper/sql-for-data-science
How do I reset my career after already getting my masters?
3 projects | /r/AskUK | 20 Aug 2022
What are some alternatives?
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
spike-prime - Experiments with the LEGO Mindstorms (51515) and SPIKE Prime (45678)
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
fastai - The fastai deep learning library
django-livereload-server - Livereload functionality integrated with your Django development environment.
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
devdocs - API Documentation Browser
support - Pybricks support and general discussion
ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code