How Python improves productivity by simplifying tasks
Python is versatile, and you can use it to develop both desktop and web apps. This versatility combined with its quick learning curve means that even beginner software developers can use plenty of its functions.
With Python, you can simplify complex tasks, writing functions with less code than it would take in C++ or Java. So Python allows for simplicity and increases productivity in the workplace since it is quicker and less complex to write a function.
Hundreds of Python libraries and frameworks
Because of Python’s popularity, there’s a huge number of developers using it to code. That created a big community that shares frameworks and libraries, creating an even easier coding process. Python even has libraries for NLP (natural language processing), such as TextBlob, and machine learning applications, such as NumPy.
There are hundreds of libraries available for Python, and here are just a few of the most popular:
• Matplotlib, for charts and graphs
• SciPy, for engineering applications
• BeautifulSoup, for XML
• Django, for server-side web development
The flexibility of the Python language
Python can be hard to master, but it is easy to learn and flexible. Python enables flexibility so the software developer isn’t limited by the programming language. On the contrary, programmers can write code for desktop applications or machine learning apps – the only limitation is their skill set. Python is so versatile that it can be considered an all-round programming language.
Compatible with major platforms and systems
Python supports many operating systems, and since it’s an interpreted programming language, you can write the code on the platform and then transfer it to another platform without recompilation. This is a time-saver when creating a code for multiple platforms, making the developer’s job easier.