/Importing-Data

Primary LanguageJupyter Notebook

Importing Data In Python


In this Notebook I will cover Four 3 important Things .

It is simplify the task of maintaining records of the employees of Company.

1.Introduction and flat files.


How to import data into Python from all types of flat files, which are a simple and prevalent form of data storage.

2.Importing data from other file types.


How to import flat files, but there are many other file types you will potentially have to work with as a data scientist. In this part, I learned how to import data into Python from a wide array of important file types. These include pickled files, Excel spreadsheets, SAS and Stata files, HDF5 files, a file type for storing large quantities of numerical data, and MATLAB files

3.Working with relational databases in Python.


How to extract meaningful data from relational databases, an essential skill for any data scientist. I learned about relational models, how to create SQL queries, how to filter and order your SQL records, and how to perform advanced queries by joining database tables.

AUTHOR


Mahnoor Rana

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