Along with other major programming languages such as PHP Java and SQL Python is a very common system for both novices and professionals to employ. It is a powerful tool that boasts adequate processing speeds and unlike some other methods it can be easily integrated into the majority of third-party software packages. So it is an ideal choice for a myriad of requirements.
Applications and Features
Python is used within countless industries. Some of the most common include web development desktop GUIs educational software game development and network programming. It is also worth noting that this particular system is said to be easier to learn when compared to more traditional language. This is a primary reason why those who may be novice programmers often prefer this variant over more traditional options. The source code can be downloaded for all operating systems while licenses and public keys are likewise available through the main website.
The Open-Source Edge
It is important to note that Python is open-source software. Thus it is free to use and it is updated on a regular basis. This will help to address any issues with bugs and keep programmers ahead of the constantly evolving curve.
- numerous improvements to the unittest module
- PEP 3147, support for .pyc repository directories
- PEP 3149, support for version tagged dynamic libraries
- PEP 3148, a new futures library for concurrent programming
- PEP 384, a stable ABI for extension modules
- PEP 391, dictionary-based logging configuration
- an overhauled GIL implementation that reduces contention
- an extended email package that handles bytes messages
- a much improved ssl module with support for SSL contexts and certificate hostname matching
- a sysconfig module to access configuration information
- additions to the shutil module, among them archive file support
- many enhancements to configparser, among them mapping protocol support
- improvements to pdb, the Python debugger
- countless fixes regarding bytes/string issues; among them full support for a bytes environment (filenames, environment variables)
- many consistency and behavior fixes for numeric operations