[TBD]Python for data science

Python related things for Data Science

• Create and manipulate arrays using numpy and Python

• Use pandas to create and analyze data sets

• Use matplotlib and seaborn libraries to create beautiful data visualisation

• Understanding of Machine Learning and SciKit Learn

• Work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.

• SQL with Python

Important numpy API

• np.array

  • • arr1*arr1 -> Matrix multiplikation

    • arr1-arr1 -> Matrix subtraction

    • 1/arr -> Each element divided as 1/element

• np.zeros(5)

• np.ones((5,5))

• • np.eye(5) -> Identity matrix of 5*5

  • np.arange(5) -> Range

  • arr.copy()

  • arr.dtype -> Each element data type

  • arr.shape -> shape

  • arr.T -> Transpose the array

  • arr.swapaxes ->

  • np.arange(50).reshape((10,5))

  • np.dot

  • np.sqrt

  • np.exp

  • np.random.randn(10) -> 1D 10 elements with random numbers between 0 and 1

  • np.add(A,B)

  • np.maximum(A,B)

  • np.where(condition,A,B) for example, np.where(arr < 0,0,arr)

  • arr.mean -> Stats Mean

  • arr.std -> Stats Standard deviation

  • arr.var -> Stats variance

  • arr.sort

  • np.unique

  • np.save

  • np.load

Important Panda APIs

• • pd.Series

  • pd.read_clipboard

  • pd.read_csv

  • pd.read_table

  • pd.to_csv

Useful imports

• from __future__ import division

• import numpy as np

• import matplotlib.pyplot as plt

• import pandas as pd

  • from pandas import Series,DataFrame

Reference

http://docs.scipy.org/doc/numpy/reference/

http://docs.scipy.org/doc/numpy/reference/ufuncs.html#available-ufuncs

https://www.geeksforgeeks.org/python-pandas-series/