First, Python is an interpreted language. It needs other software called an interpreter to run. The interpreter reads code that is immediately executed by the processor (so the code is already a program). This is a different type of action than for compiler-based languages that only translate the code into processor-readable instructions (the code itself is not a running program).
Python is also an object-oriented language, so its code is broken up into smaller parts. This makes code easier to manage. Python is a high-level language too, what means that its syntax is more understandable for humans.
The simple syntax of Python makes it very popular with web developers. The language is used to create the back end, i.e. the part of the website that is invisible to the user. It is used to process data, interact with databases, and transfer information between servers. Various frameworks are used for this, such as Django.
Python is a good choice if you want to create a simple game (but only a simple one!). It can be written quickly because the language is simple. Performance will be high. The language will also work well in building game prototypes because it is flexible and allows creating them quickly.
Many well-known companies have based their applications on Python. Instagram used this language along with the Django framework. A large part of Pinterest’s code is also written in Python, and Spotify uses it, among others, to build a back-end. Python is also used by companies such as Dropbox, Uber and Netflix.
Python is considered being the best language for AI programming because it supports system learning thanks to its simple syntax. Python is also appreciated among ML programmers - more than half of them use it.
Engineers and data scientists often use Python because of its simple syntax, scalability, and flexibility. There are also many libraries useful for graphics and data visualization.
Python can automate tasks and analyze large amounts of data. In this way, you can identify problems on websites and apply automatic solutions that correct them. This saves the work of specialists.
The ability to create secure solutions is the reason why Python is often used in blockchain technology. In addition, the language is considered flexible and functional.
Python is free and open-source software. In addition, programmers can benefit from the support of a large community of users. There is also the Python Software Foundation, which finances developer’s conferences or meetings.
Programs written in Python will run independently of the device and operating system on which they are run.
Python is easy to learn. It is a high-level language, so its syntax is close to English and uses intelligible words. This makes the code easier to read and understand. The number of Python functions is relatively small, which makes it even more accessible for beginners.
The simplicity of Python means developers can work faster and focus more on solving problems than analyzing the code. What’s more, It is easier to fix bugs, also because of the ability to find solutions to problems online quickly, thanks to the extensive community.
Python is an interpreted and dynamically typed language, so its code is executed line by line. For this reason, it is not very fast and if you are planning a project where performance is the most important, consider choosing another language (e.g. Java or C).
For large applications where memory management is critical, Python may not be the best solution. It takes up a lot of memory and does not free the memory until it finishes executing the code.
Due to low performance and high memory consumption, Python is not used for developing more advanced mobile games.
Although Python is easy to debug, problems can arise if we do not test the code regularly because bugs do not appear until runtime.
When deciding to hire a Python developer, pay attention to whether he knows the following technologies (except, of course, Python knowledge):
Frameworks are toolkits that make the developer work much faster. Django, Flas, and CherryPy are the most used in Python. The programmer should know at least one of them.
They speed up work by allow to write Python code instead of using SQL for database operations. The most commonly used ORM libraries are SQLAlchemy or Django ORM.
Using libraries can increase the speed and efficiency of programmers’ work. Python libraries include Request, Scrapy, TensorFlow and Pillow
Python developers deal with back-end when creating websites, but should be able to collaborate with front-end teams. For this purpose, it is good for them to know technologies such as HTML, JavaScript or CSS.
Even if you are preparing a project that is not directly related to Artificial Intelligence and Machine Learning, knowledge of these technologies will be a significant advantage for a programmer. Sometimes the AI and ML are even helpful when creating applications.
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