History of python and its versions
Guido van Rossum invented Python in the Netherlands in the late 1980s as a successor to the ABC programming language and released it in 1991 as Python 0.9.0.
In addition to reference counting, Python 2.0 also features a garbage collector that detects cycles for memory management (expanding on reference counting). The most important change was in the development process itself, which became more transparent and community-oriented.
After a long period of testing, Python 3.0, a major, backward-incompatible release, was released on December 3, 2008. Python 2.6 and 2.7 have been backported to provide backward compatibility, but are no longer supported.
Python 3.8.0 documentation was released on 14 October 2019. The Python 3.7.11 documentation was released on 28 June 2021.
Why the Name Python?
Now you must be wondering why this programming language was named Python when it is the name of a snake species. The name Python originated from the name of a comedy show, a script published by the BBC comedy series Monty Python's Flying Circus in the 1970s. Influenced by this, Guido Rogen named his language Python.
Currently, the Python language is maintained by the Quote welcome team, which is always adding new updates and features to the Python programming language.
What makes Python so popular?
1) Easy to learn and use
Python is an interpretable, object-oriented language with dynamic semantics. A high-level data structure, dynamic typing, and dynamic binding characteristics make it a suitable language for Rapid Application Development as well as for scripting or connecting existing applications. In addition, it is regarded as very powerful.
Python is a great programming language for creating applications very quickly. Python is more commonly used than other machine languages because it has high-level features and is easy to use.
Python is popular due to its simplicity, straightforward syntax, and user-friendly interface and environment. Python is used as follows.
Desktop Applications
Web Applications
Data Science
Artificial Intelligence
Machine Learning
Scientific Computing
Robotics
Internet of Things (IoT)
Gaming
Mobile Apps
Data Analysis and Preprocessing
2) Low maintenance costs
Python has a dynamic tap system and automatic memory management facility. Because of this, the maintenance and development cost of the program is very low, and the team working on the Python language has the opportunity to collaborate. The Python language is a programming language similar to C, C++, but it is a very easy one, due to its unique syntax, which makes it accessible to a wide range of users. Translates it into a readable form. Different developers can mess up the translation by reading the Python code, which is much easier than translating
3) Using Python on multiple platforms
We build travel applications in Python, an object-oriented programming language. It is also an interpreter language, which means that the code of programs written in it does not need to be compiled into a computer-readable format, unlike other programming languages that require object code conversion of source code before coding.
The Python programming language is also used in NASA for making equipment and space machines.
Artificial intelligence and data science also use this language.
Python's standard library supports many Internet protocols, such as HTML XML and Ion Dimensional STBs. Now your friends know about Python's unique features.
Python is a high-level programming language that is easy to read and maintain. The source code is accessible to all, and it is always kept open for all users to modify or reduce so that they can download and use it unrestricted.
Here are some examples of real-world Python applications:
Quora is mainly Python-based
Snapchat uses almost exclusively Python-based code
Python is heavily used by Instagram
YouTube is mostly served by a Python app.
Several Facebook applications use Python.
Most start-up and management scripts on Linux are written in Python (and the WWW is mostly based on Linux servers).
Python is used in many machine-learning research projects around the world.
Snapchat and Instagram are both written in Python.
Nowadays, most image editing applications use Python.
Python is the language of choice for most machine learning algorithms.
Python algorithms are used to develop face recognition systems.
Python can be used to develop databases.
Games can be developed using Python.
4) Python Applications
1) Business Applications
A business application differs from a standard application. ERP and e-commerce are examples of business applications. The Python language provides all these features, along with mobility, scalability, and readability.
In Oddo, you can find a variety of business applications that are all based on Python. Tryton is a platform for building business applications that are provided by Python.
2) Software Development
Software development is made easier with Python. Languages like this are used to build control, management, testing, etc.
Control is built using SCons.
Automated continuous compilation and testing are performed using Apache Gumps and Buildbot.
Tracking bugs and managing projects can be done using Round or Trac.
3) Web Applications
Python can be used to develop web applications. It provides libraries for handling Internet protocols such as HTML, XML, JSON, Email, beautiful soup, Feedparser, etc. Instagram uses the Python web framework Django. Below are some useful Python frameworks:
Django and Pyramid frameworks (used for heavy applications)
Bottle and Flask (Micro-framework)
The Plone and Django Content Management System (ACM)
4) Scientific and numerical
In this era of artificial intelligence, machines are capable of performing tasks just like humans. AI and machine learning are best implemented in Python. Due to its many scientific and mathematical libraries, it is easy to solve complex calculations.
A machine learning algorithm requires complex mathematical calculations. Many scientific and numerical libraries are available in Python, including Numpy, Pandas, Scipy, Scikit-Learn, etc. Python programmers will need to import libraries on top of the code. Here are a few popular frameworks for machine libraries.
5) Audio/Video-based applications
Python can perform many tasks and can be used to create multimedia applications. Python can be used to create multimedia applications such as TimPlayer, cPlay, etc. Below are a few multimedia libraries
6) 3D-CAD programs
CAD (Computer-aided design) is used for engineering-related architecture. It is used to develop a 3D representation of a part of a system. Python can create 3D CAD applications using the following features.
Fandango (Popular )
CAMVOX
HeeksCNC
AnyCAD
RCAM
7) Applications used in enterprises
An Enterprise or an Organization can use Python to create applications. Real-time applications include OpenERP, Tryton, Picalo, etc.
8) Applications for image processing
Python contains many libraries that can be used to work with images. We can manipulate the image according to our needs. Below are a few libraries for image processing.
OpenCV
Pillow
SimpleITK
9) GUI applications for the desktop
It has a graphical user interface. The core to create is the module for exchanging data with the core database. Similarly, many tax-calling modules are available in the Python library. I hope that this article helps you understand what Python is.
Some popular GUI libraries are given below.
Kivy (used for writing multitouch applications )
Conclusion
It has always been my endeavor that through our article, you can have complete information on the given topic so that you do not have to go anywhere else. I hope the information given in this article will be very useful for you. If you liked our article, then like and share it as much as possible so that this information can reach other people as well. Thank you
