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!
Get a 1-on-1 demo to understand Java and Fundamentals course and how it can benefit you from an experienced sales consultant. The demo session will help you enroll in this course with a clear vision and confidence.Request a Demo Session
The Computational Combustion using Python and Cantera from Skill-Lyc is an essential course for mechanical engineering students who are interested in the combustion and CFD domain. In this course, students will learn the fundamentals of thermodynamics, equilibrium chemistry, and elementary reactions. With Python and Cantera, students will learn Ignition delay calculation, flame speed calculation and more advanced topics in combustion.
Internal Combustion Engine Analyst
This 3 month course trains you on the basic and advanced concepts in python programming to help you out in the software development field.
This 8 month program trains the student on becoming proficient in Computer Vision
Newton Raphson method is an iterative solver that is used to find the roots of a given equation. In this project, we will be employing this method to solve for the minimum pressure required to break a sheet of ice and find the relationship between pressure and ice thickness. Additionally, we will also be studying how the relaxation factor affects the solution and how we can choose a relaxation factor.
In this project Adiabatic Flame Temperature(AFT) calculation will be performed using coding language Python and in-build Suite of Cantera. Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. So, the comparative analysis will be performed to compare the factors like time requirement, accuracy etc. The effect of number of carbon atoms on Adiabatic Flame Temperature will also be discussed.
In this project, you will be using python to obtain data from a file that contains information related to a CFD simulation of an engine. The data is provided in the form of columns for different engine parameters. Based on user input, this data is then obtained from the file by using string splitting methods and converting strings to numerical data and saved in variables. A data visualiser is created such that the relationship between any two variables in the file can be plot with each other. Additionally, an engine performance calculator is created that provides the engine parameters.