Python

Since 1991, the Python programming language was seen as a complementary language only for useless programs. Even a book called “Automate the Boring Stuff” (translated into Turkish as "Automate Boring Stuff") has been published. In the last few years, Python has emerged and become popular as a world-class programming language for modern software development, infrastructure management, and data analysis. It has become an important programming language in data analysis and machine learning. It has significant advantages for those who are new to the Python programming language and those who are proficient in the Python programming language. Learning and using Python is pretty easy. It is easier in terms of readability. It is easier to read and simple to learn than other complex languages. Python is an ideal choice for those who are learning programming or a coding language and for the first time. It is a very simple language compared to other programming languages. The applicability and usage area of Python is quite wide. It is a very common and popular language among programmers. Many Github projects are based on Python. Even in systems where programming examples such as Tiobe Index and Github are listed, Python-based programs are shown at the top. It is a language supported by many systems from the smallest system to the largest system. Although it is not the fastest among software languages, its use on multiple platforms has made it one step ahead. Python is not a simple language. Although most of the automation programs and scripts created cover the Python code scheme, they are used to create professional-grade software, both as standalone applications and web services. Also, Python scripting and automation is the tip of the iceberg for Python. You can create console applications and multi-platform GUI applications with the Python programming language.

Data analysis has become an important topic today. Python programming language has become the most convenient and useful programming language for these situations. Many of the libraries available in Python's interface are very useful on machine learning and data analysis. The Python programming language consists of very short and readable syntaxes. Python's standard library provides modules for common programming tasks such as math, array manipulation, file and directory access, networking, asynchronous operations, threading, multiprocess management. Python is intended to be extremely easy to read. That's why, for example, indentation is used instead of curly braces. In some cases, the relevant part of the code can be written in a single line without the need for indentation. Thus, Python allows you to write your program code quickly and with minimal effort. It is superior to other programming languages with its plain syntax.

Python's Shortcomings:

Although Python is generally useful and suitable for writing quality applications, it has shortcomings. Since it is a high-level programming language, it is not very suitable for system-level programming. In general, Python programming language does not provide much functionality in heavy programs because speed is at the forefront. Therefore, it would be more logical to use languages such as C / C ++, which is one of the oldest programming languages.