Learning Python Would Help You Boost Your Data Science Career

Learning Python will Improve your career.

Python is a widely-used general-purpose, object-oriented, and high-level programming language. It is one of the most popular coding languages due to its versatility. The language has a design that emphasizes code readability and supports multiple programming paradigms. Python includes high-level data structures, dynamic binding, dynamic typing, and some other features, making it suitable for complex application development. The versions of Python are copyrighted under a GPL-compatible license, which is certified by the open-Source Initiative. Python is considered to be ideal for general purpose tasks like data mining and big data facilitation.

Applications of Python

Python supports cross-platform operating systems (Mac, Linux, Windows), which makes it more convenient to build applications. Here are some of the areas where Python excels in application development. It can be used in back-end or server-side web, mobile app development, desktop app/software development, big data processing, mathematical computations, and system script writing. It's no secret that Python is one of the most commonly used programming languages. For the past few years, Python has held the number one position as the most popular coding language, which is why the career progression opportunities for Python developers are excellent. Python is widely used by many big companies such as Pinterest, Instagram, Yahoo!, and Nokia. Over 68% of data scientists prefer Python. There are many benefits of Python as discussed below. Although Python is a high-level language that enables you to do complex tasks, it is easy to learn and understand. It has a clean syntax and is suitable for both beginners and experienced programmers. If you are a complete beginner, Python can appear a bit hard at first. Large development teams with inexperienced members use this language for better output.

• It is used in web development, data mining, data science, artificial intelligence, machine learning, gaming, product development, rapid application development, testing, automation, and more. Python is growing in popularity as the primary language for many applications. Python has been one of the most popular programming languages and its popularity is constantly growing. With the rising popularity, the demand for skilled Python developers also increases. Learning Python can help you enter the world of lucrative career opportunities. Python developers are some of the highest-paid developers in the market, particularly in data science, machine learning, and web development.
• Python is an open-source language and is community-developed and it has a massive support base. Like any other programming language, Python receives regular enhancements and updates for improving its functionality and evolving developmental standards. Python offers excellent readability and easy-to-use syntax which helps beginners to learn and utilize the programming language. It also has a large user base, leading to a rich internet resource base. This improves the development of the language and provides for low program management. Python has a massive standard library that covers various areas. As there are many libraries of already scripted frequently used tasks, it reduces the time to write and length of the code significantly.
• There is no compilation step in Python, therefore the test-debug cycle is incredibly fast. A bad input or bug never causes a segmentation fault and instead, raises an exception. The 'Python Package Index' has numerous third-party modules which makes it capable of interacting with most of the other languages and platforms. Knowing Python and being a certified Python programmer are two different things. As a certified programmer in Python, you will be able to add more value to your resume and make a better impression in front of recruiters. If you have a certification in Python, it will be easy to make a switch as it shows that you have the requisite knowledge to handle various projects.

Various applications of Python like web development, application development, integration and support, ERP development, and product development, have resulted in the use of Python in various industries. From banking and finance to education and e-Learning, there is a great demand for Python in many industries like the internet and technology, publishing or advertising, automotive, banking, and finance, etc. across the globe.