NumPy and Pandas are two Python packages.

NumPy is a library which is optimizer for processing large tables of data - for instance executing a single transformation across a single column or row.
Pandas is a library which can represent large data sets as a multidimensional table, and supports data being extracted and combined with other data. Pandas is implemented using NumPy.

What are NumPy and pandas in python?

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Python is basically a scripting language and a scripting language is used mostly in the web designing and maintenance. So the obvious choice is web handling.

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Backend developer refers to the person who is responsible for writing code for web services, APIs and applications which are used by the frontend developer. What it means is whatever you see in a website is the frontend part and whatever the mechanism which does all the work to operate behind the frontend is the backend process. They take care of the coding, scripting, architecture and database management and many more.


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Python is now the most popular programming language. It is used in analytics, web development, and application development.
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Few years back the web development was done by technology lies like JavaScript, CSS and HTML. Due to its recent popularity in web development there is a huge growth of technology and new technology like AngularJS, Nodejs, Reactjs are becoming a new trend. Due to this new technology, we can easily create websites or applications.
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Servers are high-powered computer hardware or software that provides large data storage resources, data, services or programs to client side over a network which may be physical or over the internet. We can also say that if a computer shares its resources with a client this may also be called a server.
For example if you want to access data from a website or through a physical network at first the data has to be stored somewhere. That location is a server. Its job is to send or receive data as required by client or a Customer
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Computer or software systems act as a server that connects to a network.
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Data mining and data analysis are critical elements in every project based on data-driven decisions, and they must be completed quickly to assure project success. In today's world, data analysis and strategy formulation are critical for extracting useful information from available data sets.

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