Python Tutorial – Introduction

Howdy friends, Here, we are again with a new tutorial. This one is a trending one, The Python tutorial, like other tutorials on our blog. I will cover all parts one by one. This article will discuss the Python Tutorial – Introduction part as Python, uses, characteristics, etc.

We have also provided tutorials for PL/SQL, HTML, CSS, JAVASCRIPT, Typography, and so on. Please visit me once.

Here, we mentioned below what this course going to cover:

What’s inside:
What is Python?
Why do we need to learn Python?
What are the Applications of Python?
the Characteristics of Python
The first program “Hello World”
History of Python

What is Python?

Python is a general-purpose interpreted, user-friendly, object-oriented, and high-level programming language. Guido van Rossum developed it during 1985- 1990. Like other languages (Perl), Python source code is also available under the GNU General Public License (GPL).

Why do we need to learn Python?

python tutorial

According to the current market, Python is the most useable language for everyone, whether they are a developer of any organization or student. You know why Python is a high-level language with a very easy syntax. Python syntax is like simple text statements, whereas other languages use punctuation. Python uses a new line to complete a command or end one line/command, unlike other programming languages that often use semicolons or parentheses.

What are the Applications of Python?

The applications of Python are variant. Nowadays, Python is the most used programming language. Some applications are mentioned below:

  • Python is used for servers to create web applications.
  • It is also used as a programming language in Machine learning, many Data Science, and Data visualization activity.
  • It is also used to manage Big Data data and perform complex mathematics.
  • Python can be used for software development.
  • It is used to develop Desktop GUI.
  • It is also used for CAD applications.

Apart from all this, Python can be used for making business applications, Gaming, and Web Scraping Applications.

What are the Characteristics of Python?

There are multiple characteristics of Python. Some are listed below:

  • Python supports structured programming methods, also the OOP concept.
  • That can be used as a scripting language.
  • It provides very high-level dynamic data types and supports dynamic sample checking.
  • Python supports automatic garbage collection function.
  • It can be integrated with C, C++, COM, ActiveX, CORBA, also Java.

The first program “Hello World” using Python:

python tutorial

The simplest directive in Python is the “print” directive – it simply prints out a line and includes a newline, unlike in C and Java.

print ("Hello World")

History of Python:

Python was developed by Guido van Rossum (who is known as a Dutch programmer and the generator of the Python programming language) in 1991. The main motive behind the developing Python was to emphasize the code readability with its notable use of significant whitespace and help developers or programmers.

The list of different versions and released date:

Sl.NoDifferent VersionsRelease date
1Python 1Jan 1994
2Python 216 Oct 2000
3Python 303 Dec 2008

There are many versions available like Python 1.5.2 – April 1999, Python 2.4 – November 30, 2004Python 3.3 – September 29, 2012, etc. The latest version for Python is python 3.8.2 – February 24, 2020, and Python 3.9. 0, documentation released on October 5, 2020.

Release version and features.


The Python version 1.0 reached in January 1994. The significant new features added in this release were the practical programming tools lambda, map, filter, and reduce. Van Rossum stated that “Python obtained lambda, reduce(), filter() and map(), courtesy of a Lisp hacker who wanted them and submitted working patches.

Version 2

Python 2.0, released in October 2000, introduced list pieces of knowledge, a feature borrowed from the functional programming languages SETL and Haskell. Python’s syntax for this construct is related to Haskell’s, apart from Haskell’s preference for punctuation characters and Python’s choice for alphabetic keywords. The python 2.0 also included a garbage collection system capable of receiving reference cycles.

Version 3

The Python 3.0 was released on December 3, 2008. It was designed to improve fundamental design flaws in the language—the changes needed could not be performed while retaining full backward compatibility with the 2.x series, which required a new primary version number. The guiding principle of Python 3 was: “degrade feature duplication by removing old methods of doing things.”

The Python 3.0 was developed with the same philosophy as in earlier versions. However, as Python had acquired new and redundant ways to program the corresponding task, Python 3.0 had an importance on removing duplicative constructs also modules, in keeping with “There should be one— and preferably only one —obvious way to do it.”


Some of the major changes included for Python 3.0 were:

  • It is changing print so that it is a built-in function, not a statement. That made it easier to change a module to use a different print function and make the syntax more natural. In Python 2.6 or 2.7, print () is a basin available but masked by the print statement syntax, which can be disabled by entering from the __future__ import print_function at the top of the file. 
  • Removal of the Python 2 input function and the renaming of the raw_input function to input. Python 3’s input function behaves like Python 2’s raw_input function, in the input is always returned as a string rather than being evaluated as an expression.
  • Moving to reduce (but not map or filter) out of the built-in namespace and into function tools (the rationale being code that uses reduce is less readable than code that uses a for loop and accumulator variable)
  • Adding support for optional function annotations that can be used for informal type declarations or other purposes
  • Unifying the str/Unicode types, representing text, and introducing a separate immutable bytes type; and a mostly corresponding mutable by the array type, both of which represent arrays of bytes

FAQs in Python tutorial:

Is Python an interpreted language?

According to the definition of interpreted language- A programming language that is not in machine-level code before runtime.

PEP stands for …

Python Enhancement Proposal.

What is the namespace in Python?

namespace is a system with a unique name for every object in Python to avoid naming conflicts.

 Is python case sensitive language?

Yes, Python is a case sensitive language.

 What are iterators in python?

Iterators are python objects which can be traversed through all the values.

In the above, We have discussed the basic introduction of the Python tutorial. In the coming article, we will discuss the Installation of Python in Python tutorial. Please stay with us.

Thank You 🙂

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