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

Published: 12 February 2017
on channel: TechLessons
657
6

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/...
►http://pandas.pydata.org/pandas-docs/...
►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:   / robertdgrote  


On this page of the site you can watch the video online Python Pandas Tutorial 1 for Data Science & Analytics: Create & Manipulate Series & Dataframes &CSVs with a duration of hours minute second in good quality, which was uploaded by the user TechLessons 12 February 2017, share the link with friends and acquaintances, this video has already been watched 657 times on youtube and it was liked by 6 viewers. Enjoy your viewing!