Hey everyone, if you're looking for a data structure for unstructured data, you should check out DocArray. I've made a walkthrough of how it works in this video.

Feel free to check it out on https://docarray.jina.ai/get-started/what-is/#comparing-to-alternatives

Excited to release ryp, a Python package for running R code inside Python! ryp makes it a breeze to use R stats packages in your Python projects.

https://github.com/Wainberg/ryp

If you want to, check it out below:

https://www.udemy.com/course/spatial-data-visualization-and-machine-learning-in-python/?referralCode=A8AAE4440D60DDCA1690

Hey there! I am researching different programs/fields of work for an app I am creating (this is not a sales pitch FYI). I’m looking for professionals/enthusiasts who can help me with a few questions. What are the largest projects you have worked on using python for statistical analysis (or any other similar language you might use) that have given you the longest runtimes? Does it take a long time to to process/export/render your results? Do you usually run on your local machine or a cloud instance? Any insights or feedback on those questions would be extremely helpful!

I have prior knowledge of python and I have read few books on Data Science (namely Python for Data Analysis by Wes Mckinney) but they couldn't help me get anywhere. So, how do I approach this ? I want to excel in Data Science.

If you want to, check it out below:

https://www.udemy.com/course/big-data-analytics-with-pyspark-power-bi-mongodb/?referralCode=F8D077DD33FFBF7B7077

I've been working on a python based trading bot using the GDAX api and have come pretty far. My ideas are working well, but still in the baby stages of testing. This thread is simply to see if there are others who are doing this who would like to pool statistics and indicator techniques.

I'm not talking so much about sharing our entire scripts but discussing what styles of analysis you have found useful, if any?