Difference between revisions of "Python for Data Science"
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| + | ===Online Jupyter=== | ||
| + | There are many sites that provides solutions to run your Jupyter Notebook in the cloud: https://www.dataschool.io/cloud-services-for-jupyter-notebook/ | ||
| + | |||
| + | I have tried: | ||
| + | * https://cocalc.com/app | ||
| + | :: https://cocalc.com/projects/595bf475-61a7-47fa-af69-ba804c3f23f9/files/?session=default | ||
| + | :: Parece bueno, pero tiene opciones que no son gratis | ||
| + | |||
| + | |||
| + | * https://www.kaggle.com/ | ||
| + | :: https://www.kaggle.com/adeloaleman/kernel1917a91630/edit | ||
| + | :: Parece bueno pero no encontré la forma adicionar una TOC | ||
| + | |||
| + | |||
| + | * https://drive.google.com | ||
| + | :* https://colab.research.google.com | ||
| + | :: Es el que estoy utilizando ahora | ||
==Udemy - Python for Data Science and Machine Learning Bootcamp== | ==Udemy - Python for Data Science and Machine Learning Bootcamp== | ||
Revision as of 18:25, 7 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)
En otras palabras, Anaconda puede ser visto como un paquete (a distribution) que incluye no solo Python (or R) but many libraries that are used in Data Science, as well as its own virtual environment system. It's an "all-in-one" install that is extremely popular in data science and Machine Learning.
Installation
https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/
Anaconda comes with a few IDE
- Jupyter Lab
- Jupyter Notebook
- Spyder
- Qtconsole
- and others
Anaconda Navigator is a GUI that helps you to easily start important applications and manage the packages in your local Anaconda installation
You can open the Anaconda Navigator from the Terminal:
anaconda-navigator
Jupyter
Jupyter comes with Anaconda.
- It is a development environment (IDE) where we can write codes; but it also allows us to display images, and write down markdown notes.
- It is the most popular IDE in data science for exploring and analyzing data.
- Other famoues IDE for Python are Sublime Text and PyCharm.
- There is Jupyter Lab and Jupyter Notebook
Online Jupyter
There are many sites that provides solutions to run your Jupyter Notebook in the cloud: https://www.dataschool.io/cloud-services-for-jupyter-notebook/
I have tried:
- https://cocalc.com/projects/595bf475-61a7-47fa-af69-ba804c3f23f9/files/?session=default
- Parece bueno, pero tiene opciones que no son gratis
- https://www.kaggle.com/adeloaleman/kernel1917a91630/edit
- Parece bueno pero no encontré la forma adicionar una TOC
-
- Es el que estoy utilizando ahora
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
