Python is an interpreted, object-oriented high-level, dynamically semantic programming language. Its high-level built-in data structures, combined with dynamic binding and dynamic typing, make it ideal for Rapid Application Development and as a scripting or glue language for connecting existing components. Python’s simple, easy-to-learn syntax emphasizes readability and reduces the software maintenance costs. Modules and packages which facilitate software modularity and code reuse are supported by this programming language. The Python interpreter and its comprehensive standard library are free to download and distribute in its source or binary form for all major platforms.
In the late 1980s, Guido van Rossum developed this programming language. There is a reason why the name Python was chosen. Guido van Rossum was reading the published scripts for “Monty Python’s Flying Circus,” a famous BBC comedy series from the 1970s. Van Rossum wanted a name that was different, unique, and a little mysterious and thus he decided upon the name “Python”.
Python is derived from ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell, and other scripting languages. Python is copyrighted. Like Perl, Python source code is available under the GNU General Public License (GPL).
Python is the programming language of choice for many programmers and students, owing to its high demand in the development industry. Students and developers always look forward to learning a language that is in high demand. Python is undoubtedly the hottest cake in the market right now. The programming language is used by many programmers and data science students for their development projects. One of the most important sections of data science certification courses is learning this language. In this way, the Python programming language can provide students with a plethora of exciting career choices.
The Python programming language is more powerful, dependable, and faster than most modern languages. Due to its flexibility, it can be used in a wide range of environments, including mobile apps, desktop apps, web creation, hardware programming, and so on. Its versatility and high number of applications makes it more attractive to use.
This programming language was developed more than 30 years ago, which is a long time for any programming language culture to evolve and expand to the point that it can help developers at all levels, from novice to expert. There is a range of documentation, guides, and video tutorials available for the language that learners and developers of all skill levels and ages can use to improve their knowledge of the language.
Cloud computing, machine learning, and big data are three of the most common computer science trends right now, and they’re helping a lot of companies change and develop their processes and workflows.
Python is the most widely used programming language for data science and analytics. Many of the organization’s data processing workloads are solely based on the this programming language. Because of its many uses, including the ease of analyzing and organizing functional data, the language is used for the majority of research and development.
When a company sponsors a programming language, it grows faster. For example, Facebook supports PHP, Oracle and Sun support Java, and Microsoft supports Visual Basic and C#. Facebook, Amazon Web Services, and, most notably, Google all support the Python programming language.
Google adopted the programming language in 2006 and has since used it in a number of applications and platforms. Google has invested a lot of time and resources in the training and success of the programming language. They’ve also built a separate python-only portal. In the developer community, the list of support resources and documentation for the language continues to expand.