In this article, we list down the differences between these two popular languages. Yes, Python is easy to use. Beyond its elegant language features, writing Scala scripts for AWS Glue has two main advantages over writing scripts in Python. 8. Glue is an open-source Python library to explore relationships within and between related datasets. When it comes to using the Apache Spark framework, the data science community is divided in two camps; one which prefers Scala whereas the other preferring Python. When it comes to usability, both Scala and Python are equally expressive and you may achieve desired functionality as required for big data projects. Glue is focused on the brushing and linking paradigm, where selections in … Python is a high level, interpreted and general purpose dynamic programming language that focuses on code readability. Python . To get the best of your time and efforts, you must choose wisely what tools you use. It leverages Glue’s custom ETL library to simplify access to data sources as well as manage job execution. ... Python was also designed to make it easy to interface with other languages such as C, and so it is often used as 'glue code' between components written in other languages. Python provides wide range of the libraries and modules and there is an interface in Python to many OS system call and libraries. With Glue, users can create scatter plots, histograms and images (2D and 3D) of their data. First, Scala is faster for custom transformations that do a lot of heavy lifting because there is no need to shovel data between Python and Apache Spark’s Scala runtime (that is, the Java virtual machine, or JVM). So, next time you’re faced with making a choice between the two, remember there’s no wrong answer. Scala vs Python. You can find more details about the library in our documentation. Python can be used for small-scale projects, but it does not provide the scalable, feature that may affect productivity at the end. But Scala is fast. Python vs. Scala: Comparison Chart . Apache Spark : Python vs. Scala = Previous post. AWS Glue’s ETL script recommendation system generates Scala or Python code. Next post => Tags: Apache Spark, Java, Python, Scala. Python and Scala are two of the most popular languages used in data science and analytics. Summary of Python Vs. Scala. This article compares the two, listing their pros and cons. Python is most recommended language for beginners because easy to write code in Python. When comparing Python vs Scala, the Slant community recommends Python for most people. NOTE : You can also run your existing Scala/Python Spark Jar from inside a Glue Job by having a simple script in Python/Scala and calling the main function from your script and passing the jar as an external dependency in “Python Library Path”, “Dependent Jars Path” or “Referenced Files Path” in Security Configurations. Linked Visualizations. These languages provide great support in order to create efficient projects on emerging technologies. Scala is easy to learn than Python but difficult to write code in Python. Pro. Scala is a high level language.it is a purely object-oriented programming language. Python continues to be the most popular language in the industry. Making the right decision requires evaluating the requirements and unique aspects of the project. Differentiating Scala and Python based on Usability. Python requires less typing, provides new libraries, fast prototyping, and several other new features. 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