VIT/OW/52 Kit
by jaiudhayab13 
Updated: Jan 9, 2022
Solution Kit
This is a simple kit that we used to complete our Hackothon. we used pandas, jupyter to complete ours. we chose on the topic EFFICIENT BATTERY CHARGING
Group Name 1
pandasby pandas-dev
37428 Version:v2.0.0rc1Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 37428 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
jupyterby jupyter
14197 Version:CurrentJupyter metapackage for installation, docs and chat
jupyterby jupyter
Python 14197 Version:Current License: Permissive (BSD-3-Clause)
docker-stacksby jupyter
7171 Version:CurrentReady-to-run Docker images containing Jupyter applications
docker-stacksby jupyter
Python 7171 Version:Current License: Others (Non-SPDX)
Group Name 2
projectby informatics-21gr620-satellite-project
0 Version:Current
License: No License (null)Optimising Battery Charging Patterns in Satellites Using Recurrent Neural Networks
projectby informatics-21gr620-satellite-project
Python 0 Version:Current License: No License
linux-powerby dagrende
0 Version:Current License: No License (null)A gnome power meter indicator - shows battery charging/discharging power
linux-powerby dagrende
Python 0 Version:Current License: No License
projectby Thorsagerdk
0 Version:Current License: No License (null)Optimising Battery Charging Patterns in Satellites Using Recurrent Neural Networks
projectby Thorsagerdk
Python 0 Version:Current License: No License