Uploaded on
17 Nov 2020
Skill-Lync
As you have read in Part 1 of the blog, "Basics of Java and Python Programming for Engineering," Java and Python find applications in a variety of domains in today's world, from the simple plotting of graphs to the running of automated systems.
Developers of both languages have been striving to improve access and efficiency for the past thirty years, and the online developer community gets bigger every day.
This blog continues from Part 1 and also outlines topics like job opportunities and what solution providers use these languages for.
The best Python programmers are hired by companies looking for data scientists and machine learning engineers. Note that data scientists also need to know the basics of statistics and math. You can also perform data analysis on languages like R and MATLAB, but Python is by far the most popular choice.
Software engineers also use Python to some extent. In fact, you can become a professional Python developer whose job is to improve the framework of the language and the libraries for various purposes.
Java programmers qualify for more generic profiles like enterprise architects, service managers, software engineers, or application specialists. You start by performing specific tasks, and, with more experience, your profile would require you to provide consulting services and create complete solutions for clients.
Within most organizations, the higher up the ladder you go, the more managerial work your role demands. The same goes for the roles of a Python or Java developer as well.
You enter the firm as a junior software developer or junior data scientist, get promoted to a senior engineer, and then move on to leadership positions. Managerial roles are typically that of development managers, project managers, or, more recently, Agile managers.
Although the coding component of your job profile reduces, you should still be up-to-date with programming to run your team of developers efficiently, perform quality checks, and to present the work to the clients. Within IT firms or software companies, you can rise to the CXO level.
In contrast, in manufacturing sectors or other industries, your top position would usually be along the lines of IT Head, Chief Software Engineer (or Architect), or Regional Manager.
In India, the leading solution providers are IT services companies like TCS, Wipro, IBM, and Accenture. Clients from other sectors (like manufacturing) would approach these companies to create a customized product or to develop applications that run on their existing Java or Python framework.
For example, TCS has created a product called "BaNCS," which is a core banking software suite for retail banks to use. It handles operations related to payments, wealth management, forex, and insurance, and is written in Java. IBM uses Python extensively for automation-related purposes, like creating chatbots for clients to use for their websites. The tech giant Google uses Python for internal data science applications.
Due to its more generic nature, Java is more commonly used by companies than Python. Microsoft, Dell, HP, Facebook, and Twitter are some of the leading companies that create products written in Java. Some of these companies' own framework is entirely designed in Java, like Intel's embedded systems.
The recent usage of Python has shot up. In the financial sector, Goldman Sachs, JP Morgan, and PayPal use Python in their applications, typically the back-end systems, to store and bifurcate data. Netflix, Spotify, and Pinterest are some entertainment firms that use Python for analytics and artificial intelligence to curate content and suggest recommendations to viewers. The space agency, NASA, also uses Python.
The Java and Python fundamentals for engineers explained in this article should give you a clear picture if you planned to take up professional courses in either language. Both languages are indispensable in today's world, and the developer community will only grow larger in the coming years. The best option would be to learn the basics of both languages and then choose to specialize in one.
There is no secret to becoming experts in Java or Python; all you need to do is start coding and practice and improvise continuously. Most programmers today learn these languages through online courses, assignments, and projects. Unlike theoretical courses, programming can be acquired only through practical experience and application in real-life scenarios.
If you are looking for online courses that give you comprehensive training in Java and Python, covering all the concepts from the fundamentals to advanced applications, check out the master's courses offered by Skill-Lync today!
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Navin Baskar
Author
Skill-Lync
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