synth
PythonDataScienceHandbook
| synth | PythonDataScienceHandbook | |
|---|---|---|
| 1 | 98 | |
| 158 | 41,540 | |
| - | - | |
| 0.0 | 0.6 | |
| over 1 year ago | 11 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
synth
-
Making A Synthesizer Using Python
Here's the repo containing the code.
PythonDataScienceHandbook
-
About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
-
Where to learn data science with python??
Python Data Science Handbook — learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools to effectively store, manipulate, and gain insight from data
-
Book Recommendations
I don't know what tools you will be using but if you will be using Python you can start with Python Data Science Handbook by Jake VanderPlas and Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataData Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data which gives a very good outlook on the data science and big data frame work. PS: Jake's book is also available as jupyter notebooks so you can read and run the code at the same time.
-
Other programing options?
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
-
Pathways out of GIS?
Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.
-
Mastering Data Science: Top 10 GitHub Repos You Need to Know
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.
- Help a lady out (career advice(
- Resources for Current DE Interested in Learning Data Science
- Good book or course to learn Python for someone who is fluent in R?
-
Python equivalent to R's ecosystem of open source educational materials
I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/
What are some alternatives?
fastai - The fastai deep learning library
django-livereload-server - Livereload functionality integrated with your Django development environment.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
hacktribe - Electribe 2 firmware hacks.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
devdocs - API Documentation Browser
react-bits - ✨ React patterns, techniques, tips and tricks ✨