Difference between revisions of "Python for Data Science"
Adelo Vieira (talk | contribs) (→Udemy - Python for Data Science and Machine Learning Bootcamp) |
Adelo Vieira (talk | contribs) (→Most popular Python Data Science Libraries) |
||
Line 16: | Line 16: | ||
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ | https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ | ||
− | ==Most popular Python Data Science Libraries== | + | ===Most popular Python Data Science Libraries=== |
* NumPy | * NumPy | ||
* SciPy | * SciPy |
Revision as of 00:09, 6 October 2019
Contents
Anaconda
Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)
Installation
https://www.anaconda.com/download/#linux
https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/
Udemy - Python for Data Science and Machine Learning Bootcamp
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
Most popular Python Data Science Libraries
- NumPy
- SciPy
- Pandas
- Seaborn
- SciKit'Learn
- MatplotLib
- Plotly
- PySpartk