Python is a general purpose programming language, the first version of which was introduced by Guido van Rossum in 1991. Python, an interpreted and dynamic language, mainly supports object-oriented programming approaches and to a certain extent functional programming.
The Python Software Foundation maintains Python’s mainstream C language implementation under free and open source logic and protects Python’s intellectual rights. Today, Python has become very popular thanks to its relatively easy library and large standard library and has reached a wide range of users including large corporations.
Where to use Python ?
Python is used in many areas from engineering to finance. Since the 2000s, it has been widely used in scientific or engineering computational studies. Both hardware and software developments have had an impact on this: From a hardware standpoint, processing power and memory (storage) capacity has become widely accessible and widely available, and in many cases, interpreted languages such as Python have been considerably slower in some processes and the use of high-level data structures has been neglected in many cases.
In terms of software, the widespread use of the Internet and the flow of open source or free software with it has brought the scientists who adopt this approach to work in coordination with the efficient tools developed on the Internet.
The Python programming language, which is free, was implemented in the standard version using the C language. With these codes, Python’s standard library, development tools and many other libraries can be downloaded from the Internet as an open source free of charge and without any license issues. Therefore, scientific calculation will be able to use these tools freely everywhere.
In addition, since Python’s scientific libraries are open source, they will be able to examine the code of the modules they use for the topics covered in the course and adapt them to different purposes if necessary.Easy to use Python is designed for easy learnability and use. This easy-to-learn feature is of course an important advantage for any use.
What is Python ?
The simplicity of Python will make it easier to focus on the algorithms or scientific problems you want to learn. In addition, programmers will be able to read both the code they have written and the code that others have written more easily, and will be able to assimilate the idea underlying the code more easily. To be interactive As a interpreted language, Python enables the interpreter to work interactively. There are three important benefits of this feature :
- The first is the ability to ‘discover’ quickly and interactively while learning new features of the language or new libraries.
- The second is that it makes it easier to experiment quickly while writing a new program.
- The third is the scientific computing is that it helps to see the results of the calculations step by step and to efficiently follow the formation of the problem at hand.
Supporting object oriented programming The basic paradigms Python supports are procedural, object oriented and functional programming paradigms. It is a basic requirement to be able to work easily in scientific calculation. In relatively large scientific software projects, it is preferable to use a language that supports object oriented programming in terms of its convenience.
In addition, this paradigm provides a natural framework of work, especially in studies with physical purposes. Popular Although it is not a standard method for determining the popularity of a programming language, measurements made by various approaches are almost identical and show that Python is one of the most popular languages.
In terms of the TIOBE site, Python is the sixth in the overall languages ranking; In the ranking of scripting languages, it is the second after PHP, the standard Internet. In addition, companies like Google have begun to use Python, allowing a large audience behind the language. Popularity is a programming language and has several rewards for its learners.
Width of the standard library developers emphasize that using the slogan için including batteries için for Python, the standard library can have tools for all kinds of work. This provides students with a consistent and portable framework for all their needs, both in their academic work and in other work.
Portable Programs written in Python, a compiled language, can run independently of the platform (of course, this requires the Python compiler and related libraries to be available on that computer). Therefore, it is possible to easily share programs between an codes and team without the need to create executable files in any way and adapt the program to different platforms.
Of course, it is not possible to argue that Python is advantageous in every respect. For example, there are no points in this section, such as Python running much slower than compiled languages. In fact, this may be considered the only major disadvantage in terms of undergraduate scientific calculation. On the other hand, this speed difference, which is very grave in the worst case, is at a level that can be compensated by the absence of the compilation stage in the average case.
Today, when we think that human resources are more important than machine resources, Python seems to be the most appropriate language for scientific computing at the undergraduate level. “The most appropriate Burada is, of course, not elbette the best in every respect;; olmak being optimal. in all aspects. Lecturers at our universities can easily switch to Python in their classes by taking advantage of the freedom offered by free software and the wide range of rich teaching resources.