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Python training | 3 Reasons why Developers and Scientists need Python

11 October 2022

Python training Courses | 3 Reasons why Developers and Scientists need Python

Python has revolutionized the software development landscape.

The following are the reasons for its widespread adoption:

Python's simplicity makes it an ideal choice for introducing programming to young learners, while its advanced features are respected enough to be utilized in M.I.T.'s computer science curriculum. It is arguably the most prevalent dynamic language, boasting numerous high-quality, open-source libraries and frameworks.

In the modern business world, data is the driving force. It provides businesses with a competitive edge. Python streamlines the process of extracting and analyzing this data, making it relatively easy. A task that once took weeks to accomplish with other programming languages can now be done with Python in just a few hours.

Python is not just for developers. Data Science professionals, Mathematicians and other professionals can also master Python with relative ease and produce great data.

Software Testers love Python. Test scripts can be developed with Python to help automate testing in an Agile, Continuous Delivery environment.

Python's versatility means that organisations need Python professionals and the skill is now in high demand, driving up career prospects and salaries for those with the right skills.

JBI Training provide a range of Python training courses in particular fundamentals training for those new to Python or more specifically courses to suit Data Scientists

See the video below in which delegates from a recent Python course give feedback.

 

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For more more information about our range of courses: 

     - Python Advanced Course

     - Secure Coding in Java and Javascript Training

     - Scrum and Agile Training Course

 

About the author: Craig Hartzel
Craig is a self-confessed geek who loves to play with and write about technology. Craig's especially interested in systems relating to e-commerce, automation, AI and Analytics.

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