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@@ -3,7 +3,7 @@ In this [Houston Data Science][1] meetup we will introduce our members to data s
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## Objectives
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* Install Python 3 and setup on your computer via the Anaconda distribution
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* Install Python 3 and set up on your computer via the Anaconda distribution
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* Install Git installed locally and have a Github account created
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* Develop Python programs in a text editor, IDE and Jupyter Notebook
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* Use the command line to execute a program and run Python interactively
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## Agenda
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* Create a Github Account, install Git locally and fork and clone this respository
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* Install Python 3 with Anaconda
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* Install Git and create a Github Account
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* Install Sublime Text 3 along with packages for enhancing development
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* Install PyCharm EDU
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* Execute basic programs from command line
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* seaborn
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* connect to sqlite
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# Install Git
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Git is a popular version control system used to keep track of file changes during software development.
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> Downl
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# Installing Python 3 with Anaconda
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Anaconda is by far the most popular distribution of the Python programming language for data scientists. Anaconda packages together all the popular data science libraries along with the package manager `conda`.
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Anaconda is not a necessity. Python may be installed independently from source from [Python.org][2] along with its own package manager `pip`. But for begninners it is highly suggested to use Anaconda.
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