What makes python good




















There are also lots of cloud media services that offer cross-platform support through library-like tools, which can be extremely beneficial. Libraries with specific focus are also available like nltk for natural language processing or scikit-learn for machine learning applications. There are many frameworks and libraries are available for python language, such as:. Ask any python developer, and they will wholeheartedly agree that the python language is efficient, reliable, and much faster than most modern languages.

Python can be used in nearly any kind of environment , and one will not face any kind of performance loss issue irrespective of the platform one is working. One more best thing about versatility of python language is that it can be used in many varieties of environments such as mobile applications, desktop applications, web development, hardware programming, and many more. The versatility of python makes it more attractive to use due to its high number of applications. Cloud Computing, Machine Learning, and Big Data are some of the hottest trends in the computer science world right now, which helps lots of organizations to transform and improve their processes and workflows.

Python language is the second most popular used tool after R language for data science and analytics. Lots of many data processing workloads in the organization are powered by python language only. Most of the research and development takes place in python language due to its many applications, including ease of analyzing and organizing the usable data. Not only this, but hundreds of python libraries are being used in thousands of machine learning projects every day, such as TensorFlow for neural networks and OpenCV for computer vision, etc.

Python language is the first choice for many programmers and students due to the main reason for python being in high demand in the development market. Students and developers always look forward to learning a language that is in high demand. Python is undoubtedly the hottest cake in the market now. Many programmers and data science students are using python language for their development projects. Learning python is one of the important section in data science certification courses.

In this way, the python language can provide plenty of fantastic career opportunities for students. Due to the variety of applications of python, one can pursue different career options and will not remain stuck to one. The python language is so flexible that it gives the developer the chance to try something new. The person who is an expert in python language is not just limited to build similar kinds of things but can also go on to try to make something different than before.

This kind of freedom and flexibility by just learning one language is not available in other programming languages. Now python language is being treated as the core programming language in schools and colleges due to its countless uses in Artificial Intelligence, Deep Learning, Data Science, etc.

It has now become a fundamental part of the development world that schools and colleges cannot afford not to teach python language.

In this way, it is increasing more python Developers and Programmers and thus further expanding its growth and popularity. Python language can help a lot in automation of tasks as there are lots of tools and modules available, which makes things much more comfortable.

It is incredible to know that one can reach an advanced level of automation easily by just using necessary python codes. Python is the best performance booster in the automation of software testing also. One will be amazed at how much less time and few numbers of lines are required to write codes for automation tools. Some of the reasons why Python is growing at a supersonic speed.

It contributes a growing list of documentation and support tools and provides free advertising for the language, at least in the development world. The use of big data and cloud computing solutions in the enterprise world has also helped skyrocket Python to success. It is one of the most popular languages used in data science, second only to R. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development.

There are even a few libraries with a more specific focus, like scikit-learn for machine learning applications and nltk for natural language processing. Plus, huge cloud media services like Encoding. In other words, there are library-like tools that offer cross-platform support, which is a huge benefit.

For newcomers and beginners, Python is incredibly easy to learn and use. Part of the reason is the simplified syntax with an emphasis on natural language. To read more posts from Kayla, subscribe to her blog Productivity Bytes. Another slightly surprising entry on our list of Python uses is in the field of search engine optimisation SEO. Python can be a powerful tool in developing these NLP skills and understanding how people search and how search engines return results.

However, Python can be used to develop graphic design applications. Surprisingly, the language is used across a range of 2D imaging software, such as Paint Shop Pro and Gimp. Python is even used in 3D animation software such as Lightwave, Blender, and Cinema 4D, showing just how versatile the language is.

These can help you develop your knowledge and challenge your abilities with the programming language:. That concludes our look at what P ython programming can be used for. As you can see, there are many applications for this popular language, with a wide support network and a diverse range of libraries that can help. There are many reasons why you might want to start learning Python. Category: FutureLearn Local , Learning.

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