Udit Vashisht
Author: Udit Vashisht

Chapter 1 - Introduction

Chapter 1 - Introduction

  • Jan. 24, 2019, 2:31 p.m.
  • 3 minutes read
Chapter 1 - Introduction

Curiosity and zeal to learn something new have probably brought you here. It doesn’t matter whether you are new to programming or switching from some other redundant or less useful language, you must be having a few very important question in your mind. We will be answering most of them in this section

What is Python?

The official website says as under:-

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Quite overwhelming, isn’t it? For a layman, Python is a very popular programming language created by Guido van Rossum in 1991.

What can I do with Python?

Now, this is the question, where the things get interesting. Python can be used for a lot of things, but the most important and popular usage of python are:-

  1. Server-side web development using Django or Flask.
  2. Data Sciences including Machine Learning, Data Analysis & Visualisation.
  3. Automating the stuff also known as scripting.

Why Python?

I will answer this by asking another question- Why not? Go through the following reasons and decide yourself:-

  1. It has a very easy to learn and readable syntax. e.g. print(“Hello World”) will do exactly the same how it appears in plain English. It will print- “Hello World”.
  2. It is compatible with all major platforms and systems be it Windows, MacOs, Linux or Raspberry Pi.
  3. It has a robust standard library which has a wide range of modules which can be used out-of-the-box for many of your use-cases or can be tweaked with.
  4. It runs on an interpreter system and the code can be executed quickly after writing it.
  5. It fully supports object-oriented programming as well as functional programming.
  6. It is ever evolving language.

Which Python version should I learn?

Without giving any explanation I will urge you to start with the latest stable version of Python 3. At the time of writing this tutorial, the latest stable version is Python 3.7.2.

Table of contents

Chapter 2 - Quick Setup

Related Posts

Chapter 2 - Quick setup
By Udit Vashisht | 9 months, 3 weeks ago

It doesn’t matter which OS you are using, Python3 comes with multiple OS compatibility.

Install on Windows PC

Follow the steps in this post to install on Windows PC.

Install on MacOS/Linux

Follow the steps in this post to install on MacOS or Linux.

Ditching IDLE


Read More
Python Realtime Plotting | Matplotlib Tutorial | Chapter 9
By Udit Vashisht | 2 months ago

Python Realtime Plotting in Matplotlib

Python Realtime Plotting | Chapter 9

In this tutorial, we will learn to plot live data in python using matplotlib. In the beginning, we will be plotting realtime data from a local script and later on we will create a python live plot ...

Read More
Filling Area on Line Plots | Matplotlib Tutorial in Python | Chapter 5
By Udit Vashisht | 2 months, 2 weeks ago

Matplotlib Tutorial in Python

Filling Area on Line Plots | Chapter 5

Matplotlib Line plots are a good way to represent your data. But sometimes you need more than that to make your data self-explaining. In such a case, filling the area between or under a Maplotlib Line Plot ...

Read More