What is Python programming language?
What is Python? Executive Summary
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
Uses of Python:-
1. AI and machine learning
Because Python is such a stable, flexible, and simple programming language, it’s perfect for various machine learning (ML) and artificial intelligence (AI) projects. In fact, Python is among the favourite languages among data scientists, and there are many Python machine learning and AI libraries and packages available.
2. Data analytics
Much like AI and machine learning, data analytics is another rapidly developing field that utilises Python programming. At a time when we’re creating more data than ever before, there is a need for those who can collect, manipulate and organise the information.
Python for data science and analytics makes sense. The language is easy-to-learn, flexible, and well-supported, meaning it’s relatively quick and easy to use for analysing data. When working with large amounts of information, it’s useful for manipulating data and carrying out repetitive tasks.
3. Data visualisation
Data visualisation is another popular and developing area of interest. Again, it plays into many of the strengths of Python. As well as its flexibility and the fact it’s open-source, Python provides a variety of graphing libraries with all kinds of features.
4. Programming applications
You can program all kinds of applications using Python. The general-purpose language can be used to read and create file directories, create GUIs and APIs, and more. Whether it’s blockchain applications, audio and video apps, or machine learning applications, you can build them all with Python.
5. Web development
Python is a great choice for web development. This is largely due to the fact that there are many Python web development frameworks to choose from, such as Django, Pyramid, and Flask. These frameworks have been used to create sites and services such as Spotify, Reddit and Mozilla.
Thanks to the extensive libraries and modules that come with Python frameworks, functions such as database access, content management, and data authorisation are all possible and easily accessible. Given its versatility, it’s hardly surprising that Python is so widely used in web development.
6. Game development
Although far from an industry-standard in game development, Python does have its uses in the industry. It’s possible to create simple games using the programming language, which means it can be a useful tool for quickly developing a prototype. Similarly, certain functions (such as dialogue tree creation) are possible in Python.
7. Language development
The simple and elegant design of Python and its syntax means that it has inspired the creation of new programming languages. Languages such as Cobra, CoffeeScript, and Go all use a similar syntax to Python.
This fact also means that Python is a useful gateway language. So, if you’re totally new to programming, understanding Python can help you branch out into other areas more easily.
8. Finance
Python is increasingly being utilised in the world of finance, often in areas such as quantitative and qualitative analysis. It can be a valuable tool in determining asset price trends and predictions, as well as in automating workflows across different data sources.
As mentioned already, Python is an ideal tool for working with big data sets, and there are many libraries available to help with compiling and processing information. As such, it’s one of the preferred languages in the finance industry.
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