Introduction to Data Science with Python

Data science is known as a process for taking knowledge and details from a big and diverse set of data by organizing, processing, and analyzing the data. It involves many various kinds of different mathematical and statistical modeling, extracting data from its source, and applying data visualization techniques. It involves handling big data technologies to gather both structured and unstructured data.

Consider the example recommendation system online shopping becomes, prevalent the e-commerce platforms which capture the users shopping as well as the performance of various products in the market. This leads to the creation of a recommendation system that creates models predicting the shopper’s needs and show the products the shopper is most often to buy.

Python Data Science

This programming necessities of data science wants versatile flexible language which is simple to write the code but can handle highly complex mathematical processing. Python is suited for requirements which are already established itself both as the language for general computing as well as scientific computing. The features of python make it the preferred language for data science.

It is simple and very easy to learn language where the achievers result in lesser lines of codes than the other similar languages like R. The simplicity also makes it robust to handle complex scenarios with the minimal code and much less confusion on the general flow of the program.
Its cross-platform is same as code works in multiple environments without needing any change it will make the perfect environment used to multi-environment setup only.
It executes quicker and very faster than other similar languages that s used for data analysis like R and MATLAB.
This has memory management capacity specifically garbage collection does it versatile in gracefully managing very large volume data transformation, slicing, dicing and visualization.
Python has huge collection of libraries which serve the special purpose analysis tools. For example the Numpy package deals with scientific computing and its array needs much less memory than the conventional python list managing numeric data.

To recent updated and current source code, binaries, documentation, the news is available on the official website of python http://www.python.org

Installing python:

Python language distribution is required for a variety of interfaces that require downloading only binary code that is applicable for your platform and maybe installing python. This is purely binary code for the platform will not be available we need a C compiler to compile the source code manually compiling the source code offers more flexibility in terms of choosing the features that we require in your installation.

Here Unix and Linux installation

We have simple steps for installation of python UNIX/Linux machine

Here we have to open a web browser and click the link https://www.python.org/downloads
We have to follow the link to download zipped source code available unix/linux download and extract files.
editing the modules/setup file if we want to customize some options.
run./configure script
make install

Windows installation:

The steps to install python on a Windows machine

We have to open web browser and to the https://www.python.org/downloads/
here we should click the link for windows installer python-XYZ.msi file as XYZ is the version that we wants to install.
Execute the downloaded file. This will perform the python installation wizard that is really easy to use.

Setting the path:

The actual directory will be saved in the environment variable it has given name as string managed by the operating system. This variable contains information that is available to the command shell and also other programs. The Path variable will be named as PATH in Unix or Path in windows.

Setting the path in windows

we have to include python directory to the path for particular session in windows
At the command prompt-type path %path% ;C:\Python and also press enter.
consider C:\Python is the path of the python directory.

Questions