Stepanov A Data Science in Python Vol 2 Data I-O, Jupyter Notebook, GUI, 2016

Stepanov A Data Science in Python Vol 2 Data I-O, Jupyter Notebook, GUI, 2016 | 549.95 KB
English | 56 Pages

Title: Data Science in Python, Volume 2: Data I/O, Jupyter Notebook, GUI, Deployment, Numeric Programming, High Performance Python
Author: Alexander Stepanov
Year: 2016

Description:
This volume covers the fundamentals of scientific Python programming, and I assume you are familiar with Python 3. If you need help with obtaining and setting up a scientific Python 3 distribution, make sure to check out volume 1 of this series.

In this volume I will show how to:

• Read data from a tab delimited text file, sort, filter, and recover from errors
  

• Save data in a tab delimited text or in rich Microsoft Excel format
  

• Use an IPython notebook to quickly prototype your program, explore your data interactively, document, and share your research.
  

• Give your program a Graphic User Interface (GUI) to make it useful for non-programmers.
  

• Package a Python program for deployment on other computers
  

• Use Numpy for number crunching
  

• Make the Python program run as fast as compiled code
  

• Use multiple cores or processors for parallel execution of a Python program
  

You might also want to look at volume 3 describing plotting with Matplotlib and using Python together with SQLite database for data analysis.

DOWNLOAD:

https://rapidgator.net/file/e279d7bd35002b94bf40c4e8595ccbe6/Stepanov_A._Data_Science_in_Python_Vol_2._Data_I-O_Jupyter_Notebook_GUI..2016.pdf
https://uploadgig.com/file/download/fAe9D7a5dEdEFfb4/Stepanov_A._Data_Science_in_Python_Vol_2._Data_I-O_Jupyter_Notebook_GUI..2016.pdf

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