WinPython
Portable Python
PyCharm
Anaconda
Thonny
Spyder
IDLE
PythonAnywhere
Numerai
Colaboratory
Kaggle
Explorium
Infosec Skills
DataSource.ai
Crowd AnalytiX
Machine Hack
WinPythonNumerai might be a bit more popular than WinPython. We know about 19 links to it since March 2021 and only 19 links to WinPython. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / about 1 year ago
How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: about 2 years ago
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: about 2 years ago
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / over 2 years ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 2 years ago
For example the Numerai hedge fund's data science tournament for crowdsourced stock market prediction is giving out their expensive hedge fund quality data to their users but it's transformed enough that the users don't actually know what the data is, yet the machine learning models are still working on it. To my knowledge it's not homomorphic encryption because that would be still too computational expensive, but... - Source: Hacker News / over 1 year ago
If you are interested in the machine learning part, you can try the Numerai tournament ( http://numer.ai ). They provide obfuscated high quality hedge fund data that participants can train their models on and send back only their predictions and then they combine the user's predictions into their market neutral meta model which they actively trade. So far their fund's returns looks promising in their category... - Source: Hacker News / over 2 years ago
This does not solve your problem, but you would be interested in https://numer.ai which is a "wisdom of the crowds" ML competition for stock market predictions. Source: almost 3 years ago
Company: Numerai (https://numer.ai) Position: Web Developer Location: San Francisco (Remote/On-site with WFH days) Numerai is a new kind of hedge fund powered by thousands of competing data scientists from around the world, all working to predict the stock market. - Source: Hacker News / over 3 years ago
Also it seems you would enjoy the numer.ai stock prediction hedge fund tournament if you didn't already know about it. It's interesting not because of their token, and it's not about pump & dumps but because it's about providing actually useful stock predictions using machine learning models and getting rewarded for it. And you don't have to worry about the technical details of the trade execution on exchanges. So... Source: over 3 years ago
Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.
Colaboratory - Free Jupyter notebook environment in the cloud.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Kaggle - Kaggle offers innovative business results and solutions to companies.
Anaconda - Anaconda is the leading open data science platform powered by Python.
Explorium - Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.
