## Python Data AnalysisThis book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

### Common terms and phrases

Autocorrelation Beautiful Soup book's code bundle Bottleneck chapter classification cointegration columns computing create CSV files data type data_loader database dataset DESCRIPTION distribution document dtype eigenvalues eigenvectors ElasticNetCV example following code following command following plot Fortran frequency Genetic algorithms Google App HDF5 icecream import matplotlib.pyplot import numpy import pandas import statsmodels.api install NumPy integer interface JSON Linear algebra Linux logistic regression Mac OS X machine learning MapReduce matplotlib matplotlib.pyplot as plt matrix method module NLTK np import numpy as np NumPy functions NumPy numerical types ofthe optional output package Packt pandas as pd pandas DataFrames parameter params Parsing pip freeze|grep pip install plt.show Profiling programming Python Python library query Referto rows scikitlearn SciPy Series setup sm.datasets.sunspots.load_pandas SQLAlchemy SQLite stacking statsmodels.api as sm string subpackage sunspots support vector machines SWIG transistor counts values window word