History of Python
Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL), capable of exception handling and interfacing with the Amoeba operating system. Its implementation began in December 1989.
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects
Why Do People Use Python?
Because there are many programming languages available today, this is the usual first question of newcomers. Given that there are roughly 1 million Python users out there at the moment, there really is no way to answer this question with complete accuracy; the choice of development tools is sometimes based on unique constraints or personal preference
Python is one of the top 10 popular programming languages of 2017. Python is a general purpose and high-level programming language. You can use Python for developing desktop GUI applications, websites, and web applications. Also, Python, as a high-level programming language, allows you to focus on the core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further make it easier for you to keep the code base readable and application maintainable. There are also a number of reasons why you should prefer Python to other programming languages.
But after researching about Python. I found out the primary factors cited by Python users seem to be these.
1. Easy to learn
Python language comes with a lot of advantages but this is out of the charge. If you know how to write simple sentences in English grammar, Congratulations you can learn python within two or three weeks. Python is easy because it resembles the English language. There are very few rules and special cases. It’s safe to say that in Python the focus is on what you want to do with the code, not on language semantics.
The syntax of the python is designed in such a way that new leaner, the user who don,t know how to write the code can easily understand the syntax of the python. The syntax of python is easy and understandable. Like the other famous languages like C, C++, java and many more the syntax of the python is simple and less complicated, In python developers don,t have to write long codes.
2.Readability of the code.
While writing a software application, you must focus on the quality of its source code to simplify maintenance and updates. The syntax rules of Python are easy and allow the developer to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes code readability and allows you to use English keywords instead of punctuations. Hence, you can use Python to build custom applications without writing additional code. The readable and clean code base will help you to maintain and update the software without putting extra time and effort.
3. Software quality
By design, Python implements a deliberately simple and readable syntax and a highly coherent programming model. As a slogan at a past Python conference attests, the net result is that Python seems to “fit your brain”—that is, features of the language interact. This makes the language easier to learn, understand, and remember. In practice, Python programmers do not need to constantly refer to manuals when reading or writing code; it’s a consistently designed system that many find yields surprisingly uniform code. By philosophy, Python adopts a somewhat minimalist approach.
This implies in spite of the fact that there are normally different approaches to achieve a coding task, there is typically only one evident way, a couple of more subtle other options, and a little arrangement of lucid collaborations wherever in the language. Additionally, Python doesn't settle on discretionary choices for you; when collaborations are uncertain, express intercession is favored over "enchantment." In the Python perspective, unequivocal is superior to verifiable, and straightforward is superior to complex. Past such configuration subjects, Python incorporates apparatuses, for example, modules and OOP that normally advance code reusability. What's more, since Python is centered around quality, so as well, normally, are Python software engineers
4. Extensive Support Libraries
Support libraries Python comes with a large collection of prebuilt and portable functionality, known as the standard library. This library supports an array of application-level programming tasks, from text pattern matching to network scripting. In addition, Python can be extended with both homegrown libraries and a vast collection of third-party application support software. Python’s third-party domain offers tools for website construction, numeric programming, serial port access, game development, and much more (see ahead for a sampling). The NumPy extension, for instance, has been described as a free and more powerful equivalent to the Matlab numeric programming system.
It provides large standard libraries that include areas like string operations, Internet, web service tools, operating system interfaces, and protocols. Most of the highly used programming tasks are already scripted into it that limits the length of the codes to be written in Python.
5. Developer productivity
Developer Productivity During the great Internet boom of the mid-to-late 1990s, it was difficult to find enough programmers to implement software projects; developers were asked to implement systems as fast as the Internet evolved. In later eras of layoffs and economic recession, the picture shifted. Programming staff was often asked to accomplish the same tasks with even fewer people. In both of these scenarios, Python has shined as a tool that allows programmers to get more done with less effort. It is deliberately optimized for speed of development—its simple syntax, dynamic typing, lack of compile steps, and built-in toolset allow programmers to develop programs in a fraction of the time needed when using some other tools. The net effect is that Python typically boosts developer productivity many times beyond the levels supported by traditional languages. That’s good news in both boom and bust times, and everywhere the software industry goes in between.
Python boosts developer productivity many times beyond compiled or statically typed languages such as C, C++, and Java. Python code is typically one-third to 3 one-fifth the size of equivalent C++ or Java code. That means there is less to type, less to debug, and less to maintain after the fact. The python development is very easy and unique it comes with the easy syntax so the developer can easily understand and can develop without making to much error. Python programs also run immediately, without the lengthy compile and link steps required by some other tools, further boosting programmer speed.
Most Python projects run unaltered on all significant PC stages. Porting Python code among Linux and Windows, for instance, is normally simply a question of duplicating a content's code between machines. Also, Python offers various choices for coding compact graphical UIs, database access programs, web-based frameworks, and that's just the beginning. In any event, working framework interfaces, including program dispatches and registry preparing, are as compact in Python as they can be.
7. Component integration
Python scripts can easily communicate with other parts of an application, using a variety of integration mechanisms. Such integrations allow Python to be used as a product customization and extension tool. Today, Python code can invoke C and C++ libraries, can be called from C and C++ programs, can integrate with Java and .NET components, can communicate over frameworks such as COM and Silverlight, can interface with devices over serial ports, and can interact easily over networks with interfaces like CORBA, XML-RPC, SOAP and Others.
8. Multiple Programming Paradigms
Like other present-day programming dialects, Python likewise bolsters a few programming worldviews. It supports articles situated and organized programming completely. Likewise, its language highlights bolster different ideas in useful and angle arranged programming. Simultaneously, Python additionally includes a unique sort framework and programmed memory of the board. The programming ideal models and language highlights help you to utilize Python for growing enormous and complex programming applications.
9. Having Fun with Python
Enjoyment, Because of Python’s ease of use and built-in toolset, it can make the act of programming more pleasure than a chore. Although this may be an intangible benefit, its effect on productivity is an important asset.
10. Data Science:
Now, most people are trying to learn Python to become Date Scientists, One of the most paying jobs out there. "Data Scientist" is the best profession according to job-listing data. The role of data scientist was described in 2012 as, "The best job of the 21st Century" isn't that awesome. Python is the most used programming language by most data scientists. Although there R some other languages, Python is still dominating the field. It's because of a huge community and the huge number of supporting libraries like
- Numpy For numerical computation and matrix handling
- Matplotlib and Seaborn For data visualization
- Pandas for data analysis and tabular data representation
- And Other.......
Data Science Jobs being posted often requires Python more than any other language. This indicates the fact that the skills you gain with Python will be used to develop your analytical skillset.