updated readme

Author: tdpetrou

README.md

@@ -1 +1,50 @@
-# Intro-to-Data-Science-with-Python
+# Introduction to Data Science with Python
+In this [Houston Data Science][1] meetup we will introduce our members to data science using the Python programming language.
+
+## Objectives
+
+* Install Python 3 and setup 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
+* Install Python 3 with Anaconda
+* Install Git and create a Github Account
+* 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
+
+# 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][2] along with its own package manager `pip`. But for begninners it is highly suggested to use Anaconda.
+
+<mark>Marked text</mark>
+<span style="background-color: #FFFF00">Marked text</span>
+
+
+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
+
+[1]: (https://www.meetup.com/Houston-Data-Science/) 
+[2]: (https://www.python.org/downloads/)
+