Python is a programming language that is trending and in demand these days. It was created by Guido Van Rossum. It is the most praised language because of its elegant syntax and readable code. If you are one of the enthusiasts who want to begin your programming, python suits you the best. But if you feel python is a bit difficult and if you are looking for other alternatives then here you go! Here are the top 5 competitors and alternatives of the Python programming language.
Java is a concurrent, class-based, and object-oriented language that was designed to have as few implementation dependencies as possible. It is a popular programming language after python. It is used to develop web apps, mobile apps, games and desktop apps, and many more. Java is a high-level, robust, secure python programming language which is object-oriented.
Pros of Java
Huge amount of documentation is available
Large pool of developers available
Cons of Java
Difficult to write
2 R Language
R is a programming language and free software for statistical computing and graphics that is supported by the R Core Team and also the R Foundation for Statistical Computers. This is the python programming language that is popular among statisticians and data miners for developing statistical software and data analysis.
Prons of R Langauge
Graphics and data visualizations
It is for free
Flexible statistical analysis toolkit
Access to powerful cutting-edge analytics
Cons of R Language
Very messy syntax
Tables must fit in RAM
No push command for vectors and lists
Poor syntax for classes
Arrays indices start with 1
Can be used on the frontend and backend
Has a lot of frameworks
Extended functionality to web pages
A constant moving target
No ability to monitor memory utilization
Shows Zero output in case of any error
Scala is a pure-bred object-oriented language that runs on the JVM. It is one concise, high-level kind of language that is designed to express common programming patterns in a concise, high-level language.
Pros of Scala
Solves functional problems
Cons of Scala
Slow compilation time
Multiple ropes and styles to hand yourself
Too few developers available
Anaconda is a distribution of the Python and R programming languages for scientific computing that aims to simplify package management, and deployment. It is the enterprise data science platform for data scientists, IT professionals, and business leaders.
Pros of Anaconda
Valuable for data science and python programming tools such as Jupyter, Spider, and R
Commands are flexible
Easy to use
Cons of Anaconda
Poor ability to handle large data source
No themes for night coders