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Python is an object oriented programming language. C is a middle level language as it binds the bridges between machine level and high level languages. Python is a high-level language as the translation of Python code takes place into machine language, using an interpreter. C is a compiled programming language.
It is a specification. There are multiple implementations of that specification, written in multiple languages. IronPython is written in C♯, Jython in Java, PyPy in RPython, Pynie in NQP, PIR, and Perl6, Pyston in C++, CPython in C. The statement "Python is written in C" doesn't make sense.
Most of the Python Libraries are written in the C programming language. The Python standard library consists of more than 200 core modules. All these work together to make Python a high-level programming language.
As a result, the development of various languages has been influenced by C language. These languages are C++ (also known as C with classes), C#, Python, Java, JavaScript, Perl, PHP, Verilog, D, Limbo and C shell of Unix etc.
NumPy is a Python library and is written partially in Python, but most of the parts that require fast computation are written in C or C++. It provides a high-performance multidimensional array object and tools for working with these arrays.
Python is often described as a “glue language,” meaning it can let disparate code (typically libraries with C language interfaces) interoperate. Its use in data science and machine learning is in this vein, but that's just one incarnation of the general idea.
The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.
Python programs are generally expected to run slower than Java programs, but they also take much less time to develop. Python programs are typically 3-5 times shorter than equivalent Java programs. This difference can be attributed to Python's built-in high-level data types and its dynamic typing.
Ease of development – Python has fewer keywords and more free English language syntax whereas C is more difficult to write. Hence, if you want an easy development process go for Python. Performance – Python is slower than C as it takes significant CPU time for interpretation. So, speed-wise C is a better option.
The syntax of a C program is harder than Python. Syntax of Python programs is easy to learn, write and read. In C, the Programmer has to do memory management on their own. Python uses an automatic garbage collector for memory management.
C/C++ is relatively fast as compared to Python because when you run the Python script, its interpreter will interpret the script line by line and generate output but in C, the compiler will first compile it and generate an output which is optimized with respect to the hardware.
Python's syntax is a lot closer to English and so it is easier to read and write, making it the simplest type of code to learn how to write and develop with. The readability of C++ code is weak in comparison and it is known as being a language that is a lot harder to get to grips with.
Python is easy to learn and easy to put in practice when compared to C++ which becomes harder as we advance through its features. Another advantage of Python is its libraries that allow us to write any functionality especially data analysis and machine learning. So popularity-wise Python scores over C++.
The very first Java compiler was developed by Sun Microsystems and was written in C using some libraries from C++. Today, the Java compiler is written in Java, while the JRE is written in C.
Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast.
Python ranked first among Stack Overflow's “most wanted” languages for 2021. It is the third most popular technology, according to the same developers' survey. As of May 2022, it is no. 1 in the TIOBE Index.
Python 's main disadvantages are its slowness during execution, problems switching to another language, weakness in mobile app development, excessive memory consumption, and lack of acceptability in the business development industry.
Exploit Writing: Python is a general-purpose programming language and used extensively for exploit writing in the field of hacking. It plays a vital role in writing hacking scripts, exploits, and malicious programs.
Here's how it works: Data from NASA's Deep Space Network feeds down into the Space Telescope Science Institute's processing systems using Python. “And that's where my code comes in,” Mike Swam, the data processing team lead who worked on JWST, said on an episode of the podcast Talk Python to Me in March 2022.
Google uses JavaScript and TypeScript in the front-end, and C++, Java, Golang, Python, and PHP in the back-end.
Most of the operating systems are written in the C/C++ languages. These not only include Windows or Linux (the Linux kernel is almost entirely written in C), but also Google Chrome OS, RIM Blackberry OS 4.