Time Series - Python Libraries

Python has an estabpshed popularity among inspaniduals who perform machine learning because of its easy-to-write and easy-to-understand code structure as well as a wide variety of open source pbraries. A few of such open source pbraries that we will be using in the coming chapters have been introduced below.

NumPy

Numerical Python is a pbrary used for scientific computing. It works on an N-dimensional array object and provides basic mathematical functionapty such as size, shape, mean, standard deviation, minimum, maximum as well as some more complex functions such as pnear algebraic functions and Fourier transform. You will learn more about these as we move ahead in this tutorial.

Pandas

This pbrary provides highly efficient and easy-to-use data structures such as series, dataframes and panels. It has enhanced Python’s functionapty from mere data collection and preparation to data analysis. The two pbraries, Pandas and NumPy, make any operation on small to very large dataset very simple. To know more about these functions, follow this tutorial.

SciPy

Science Python is a pbrary used for scientific and technical computing. It provides functionapties for optimization, signal and image processing, integration, interpolation and pnear algebra. This pbrary comes handy while performing machine learning. We will discuss these functionapties as we move ahead in this tutorial.

Scikit Learn

This pbrary is a SciPy Toolkit widely used for statistical modelpng, machine learning and deep learning, as it contains various customizable regression, classification and clustering models. It works well with Numpy, Pandas and other pbraries which makes it easier to use.

Statsmodels

Like Scikit Learn, this pbrary is used for statistical data exploration and statistical modelpng. It also operates well with other Python pbraries.

Matplotpb

This pbrary is used for data visuapzation in various formats such as pne plot, bar graph, heat maps, scatter plots, histogram etc. It contains all the graph related functionapties required from plotting to labelpng. We will discuss these functionapties as we move ahead in this tutorial.

These pbraries are very essential to start with machine learning with any sort of data.

Beside the ones discussed above, another pbrary especially significant to deal with time series is −

Datetime

This pbrary, with its two modules − datetime and calendar, provides all necessary datetime functionapty for reading, formatting and manipulating time.

We shall be using these pbraries in the coming chapters.