Python and Java have a wide variety of applications in data analysis, web development, software applications, and much more. This two-part blog covers several topics about these languages, starting with a bit of history, followed by current trends, and the key features of Java and Python.
The first part of the blog covers these topics and starts talking about some in-depth technical differences between Java and Python. The second part continues this line of discussion, and also explains job opportunities and a couple of case studies.
Python has been around for three decades now, although its widespread applications are relatively recent. The language was founded in 1991 by Guido van Rossum, a Dutch programmer, who named the language after the comedy troupe he was a fan of, Monty Python. Rossum was active in the development of Python until 2018 when he handed over the operations to a five-member panel.
Java was invented in 1991 by three colleagues: James Gosling, Mike Sheridan, and Patrick Naughton. They had initially named it "Oak," after an oak tree at the back of their office, and then changed the name to "Green." Finally, just before the formal release in 1995 by Sun Microsystems, they named it Java, after the Java coffee beans from Indonesia.
Over the last three decades, both languages have undergone continuous improvement and, even today, Python and Java developers across the world keep updating these languages every hour of every day.
Despite the similarities in the languages, programmers use Java and Python for different purposes based on the strengths of each language. Python is used mainly in the domain of machine learning, artificial intelligence, and data science. Tech giants like Google and Uber use Python for their automation.
Java, on the other hand, is used in embedded systems like processors and controllers. Java is more versatile as a cross-platform language, which makes it easy to shift between machines or systems when coding in Java. Another application of Java, particularly among manufacturing sectors, is in enterprise software (or ERP software) to keep track of sales, logs, project details, etc.
Most skilled programmers would be able to convert a Java code to Python and vice versa. However, there could be factors like personal preference, support system and network, and online help available that make programmers choose one language over the other.
Both languages differ significantly in their technical features. Here are some highlights from Java and Python.
Note that Java is also open-source, but the specific frameworks or libraries within the language could have licenses or patents by different corporations and developers. The generic version of Java is free to download and use.
Here's a more in-depth look at the technical differences between Java and Python.
This brief introduction to Java and Python programming highlights the similarities and differences between these widely used languages. Learning multiple languages is a skill worth having, especially in the competitive world we live in, where the best talent is always rewarded.
To know more about the job opportunities you can get as a proficient Java or Python programmer, continue reading Part 2 of the same blog.
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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.
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