Introduction to Data Science with Python

In this Houston Data Science meetup we will introduce our members to data science using the Python programming language.

Objectives

• Install Python 3 and set up on your computer via the Anaconda distribution
• Install Git installed locally and have a Github account created
• Develop Python programs in a text editor, IDE and Jupyter Notebook
• Use the command line to execute a program and run Python interactively
• Use Jupyter Notebook to explore the most popular data science libraries
• Have a huge list of resources to help you continue your data science journey

Agenda

• Create a Github Account, install Git locally and fork and clone this respository
• Install Python 3 with Anaconda
• Install Sublime Text 3 along with packages for enhancing development
• Install PyCharm EDU
• Execute basic programs from command line
• Use the command line to run Python interactively
• PyData
• NumPy
• pandas
• statsmodels
• matplotlib
• seaborn
• connect to sqlite

Install Git

Git is a popular version control system used to keep track of file changes during software development.

Downl

Installing Python 3 with Anaconda

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.

Anaconda is not a necessity. Python may be installed independently from source from Python.org along with its own package manager pip. But for begninners it is highly suggested to use Anaconda.

pycharm https://www.jetbrains.com/pycharm-edu/ file -> new project -> educational choose python 3 interpreter

use jupyter notebook in pycharm: https://www.jetbrains.com/help/pycharm/using-ipython-jupyter-notebook-with-pycharm.html

Typical workflows for data scientists