Should i learn python or jython

There are many languages for educational purposes such as Scratch or Logo. So reach for Python! Python integration with other languages? No problem. Additional solutions? Sure, there are many options. Jython Python implemented in Java works everywhere where Java does. IronPython is a Python implemented in.

Python is second on a list of well-paid languages in USA. We analyse an average annual wage, the fact that Python is an easy language to learn, and things become clear. As I said, you can make use of Python in every way. In both cases you can code in Python. A lot of fun, immense possibilities.

DIY projects are easily accessible on YouTube, and really rewarding. Ethical hacking, penetration tests, security systems analysis, software development — these might be your tasks as a Security Specialist.

Actually, you can make the gadgets for your house on your own or work in this field professionally. Collecting information about the users and its analysis with your own data or Facebook API, Google, Twitter, better ads targeting. Data processing on mathematical and statistical level, working with results of laboratory experiments in the field of genomics, chemistry, geoinformation, etc. Software testing, automated testing, debugging, everywhere where you can — out of laziness — write the code that would carry out the code the tests for a tester.

As far as Data Scientist positions are concerned, Python is one of the most often required languages. The fields that involve processing of a huge amount of data. Python is the future of machine learning, they say. More effective backend than popular PHP, and the frameworks that make you do your work faster, e.

Django or Flask. Many, many more could come to our mind. Because Python is easy, you cannot do with it more? By no means! Python has the power so the companies such as Google, Dropbox, Spotify or Netflix use it in their applications. Dropbox is completely written in Python , and it ensures its compatibility with every operation system. It has around millions of users.

Therefore, its recommendable for both beginners and experienced programmers. Also, there are plenty of ways on how to learn Python; you can do self-study, enroll yourself in coding bootcamp or school or watch online tutorials. The choice is yours to make! With its near perfection beauty, Python is named as one of the top-picked programming languages of most universities and industries. This is due to the rise of AI and Machine Learning technologies in the global market.

Indeed, there are many reasons why you should learn Python. And to understand deeper its scope and benefits, here are the Top 7 uses of Python.

Multiple Programming Paradigms 2. Web Testing 3. Data Extraction 4. Web Application and Internet Development 6. It aims to identify the latest trends in Python web development. Over 20, developers participated from more than different countries to help in mapping out an accurate, up-to-date landscape of the Python community. Python has the upper hand when it comes to supporting a number of programming paradigms like object-oriented programming , functional programming , empirical programming , and structured programming.

Python can be used to develop both large and small applications. You can use it to engineer and produce various applications such as; game, android, multi-software and web applications. Moreover, Python has built-in functions to test variable types and proper usage. It also has automatic memory management for managing and dealing with several dynamic storage management which is useful for sharing, segmentation, preallocation or caching. Python is the best choice for programmers in testing website applications and other related web interfaces before launching it on live sites to avoid bugs and errors.

Aside from test automation , Python unittest supports setup sharing and code tests shutdown, test aggregation, test collections, and test reporting. Its impressive string manipulation and easy shell access make it an extremely beneficial language for smooth automating repetitive tasks.

It is a process to retrieve and organize data from different sources on the web and turn them into valuable ones. Python has many web scraping tools e. Also, web scrapers are convenient for machine learning projects, data retrieval, SEO ranking, marketing and sales campaigns, e-commerce data collection, etc. Python is widely used in data science, machine learning, data visualization, and data processing. Libraries - The power of Python lies in the libraries available that cover the most common programming tasks such as connecting to web servers, reading and modifying files, searching text with regular expressions, and some more advanced endeavors like machine learning.

Easily extendable - developers can expand the capabilities of Python by adding new modules compiled in C, by embedding it into applications, or by grouping the code itself into modules and packages for re-use. Android and iOS also make the list thanks to unofficial builds.

Free - like the best things in life, Python doesn't cost anything. Anyone can download and use Python in their applications.

And since it's available under an open-source license, it can also be freely modified and re-distributed. It is statically typed , which means it performs type checking at compile-time, contrasting with Python's dynamically-typed programming language characteristics.

Syntax - Java's syntax looks a bit cumbersome compared to Python, using more code and with stricter rules. The presence of brackets makes it even less attractive and more prone to validation mistakes. Applications - Java is used everywhere , from web applications to desktop GUI apps, enterprise applications, and integrated systems. Libraries - There is a vast number of Java libraries available that can be used for almost anything. Extensions - Java's core capabilities can be extended through a set of packages or classes bundled in a JAR file.

Compatibility - Java runs in Java Virtual Machine environments, which can run in any device or operating system following the "Write once, run anywhere" principle. Free - It is free and available for general-purpose computing. To know more about how Python differs from Java, we recommend reading our in-depth comparison. Now that we have an idea of what Python and Java are, it will be easier to grasp the concept of Jython.

As we said initially, Jython is a Java implementation of Python, developed to run in Java platforms and use Java classes. It has most of the characteristics we described above for Python, opening up new possibilities to programmers that can use Python's syntax and logic in a Java Virtual Machine JVM environment, with the bonus of using Java's libraries. Elegant syntax - It shares the same syntax as Python and all its simplicity, clarity, and conciseness.

Applications - The main application of Jython is the integration of Java with Python, enabling developers to use the JVM library while writing in Python semantics within a Java platform. Java is a great resource for Machine Learning since it's easy to debug while handling large-scale operations. Libraries - Jython can use all Java libraries. It's the most appealing part for Python developers since they can access Java libraries like Weka or Deeplearning4j.

Free - Jython is available for commercial and non-commercial use. Jython is the bridge connecting the worlds of Java and Python, allowing for seamless interaction between these two languages.

Python and Jython share many of the same core attributes.