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Python Socket Communication

Sat, 02 Feb 2019 13:23:50 +0300

This article was originally posted on Python Pandemonium

What is a socket?

A socket is one endpoint of a two-way communication link between two programs running on ( a node in) a computer network. One socket (the server) listens on a particular port on and IP address, while another socket(the client) connects to the listening server to achieve communication.

Primarily, the way sockets send data is controlled by two properties — the address family, which determines the network layer protocol used and the socket type which determines the transport layer protocol used.

JSON the Python Way

Sat, 06 Oct 2018 13:23:38 +0300

This article was originally posted on Python Pandemonium

What is JSON?

JavaScript Object Notation (JSON) is a lightweight data-interchange format based on the syntax of JavaScript objects. It is a text-based, human-readable, language-independent format for representing structured object data for easy transmission or saving. JSON objects can also be stored in files — typically a text file with a .json extension and a application/json MIME type. Commonly, JSON is used for two way data transmission between a web-server and a client in a REST API.

Python Dictionaries

Wed, 03 Oct 2018 13:23:26 +0300

This article was originally posted on Python Pandemonium

Data structures are basically containers that store data in predefined layouts, optimized for certain operations — like apples in a box, ready for picking😉.

The Python programming language natively implements a number of data structures. Lists, tuples, sets, dictionaries are but some of them. We will be looking at the dictionary data type in subsequent sections.

What are dictionaries ?

A dictionary in python is a mapping object that maps keys to values, where the keys are unique within a collection and the values can hold any arbitrary value. In addition to being unique, keys are also required to be hashable.

Python Data Analysis - Getting Started

Wed, 09 May 2018 13:23:08 +0300

This article was originally posted on Medium

It has been just over a week since Ubuntu 18.04 LTS was released, and if you are like me, you’ll always prefer to do a clean install rather than an upgrade. I use Ubuntu on my primary development machine, so clean installs generally mean setting up a new development environment. I initially struggled with setting up my Data Analysis environment on my old system, and thought of documenting the procedure this time round, at least for my sake. I hope this helps out someone like me, when getting started.