Difference between revisions of "Python for Data Science"
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==Udemy - Python for Data Science and Machine Learning Bootcamp== | ==Udemy - Python for Data Science and Machine Learning Bootcamp== | ||
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/ | ||
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| + | ==Most popular Python Data Science Libraries== | ||
| + | * NumPy | ||
| + | * SciPy | ||
| + | * Pandas | ||
| + | * Seaborn | ||
| + | * SciKit'Learn | ||
| + | * MatplotLib | ||
| + | * Plotly | ||
| + | * PySpartk | ||
Revision as of 23:09, 5 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
