Python Pandas Tutorial 1 for Data Science & Analytics: Create & Manipulate Series & Dataframes &CSVs

This Beginner Tutorial Shows the basic functionality of the Pandas 'Panel Data' library for Python with regard to creating series and dataframes from scratch or from a csv (comma-separated values) file. We cover some basics such as pandas.DataFrame() (pd.DataFrame()), pandas.Series() (pd.Series()), pandas.read_csv() (pd.read_csv)), and more. 0:55 !pip pip install pandas 1:12 import pandas as pd 1:54 creating a series pd.Series() 2:43 default arguments for pd.Series() 3:55 creating a dataframe pd.DataFrame() 4:46 pd.read_csv() 5:00 !cd Pandas Resources: ►http://pandas.pydata.org/ ►http://pandas.pydata.org/pandas-docs/stable/ ►http://pandas.pydata.org/pandas-docs/stable/tutorials.html ►https://pypi.python.org/pypi/pandas Thank you for watching! I encourage anyone to leave feedback, questions, or constructive criticism in the comments. If you are interested in learning more about Python, you can view lessons in the format of an iPython Notebook: https://github.com/robertgrote/Python... ►Channel: https://www.youtube.com/channel/UCCX8... ►Subscribe: https://www.youtube.com/channel/UCCX8... ►Portfolio: https://robertgrote.github.io/ ►Twitter: https://twitter.com/robertdgrote