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This free online converter lets you convert code from Fortran to PySpark in a click of a button. To use this converter, take the following steps -
The following are examples of code conversion from Fortran to PySpark using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
Fortran
PySpark
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
Fortran
PySpark
Characteristic | Fortran | PySpark |
---|---|---|
Syntax | Fixed format in older versions, more modern versions support free format. | Pythonic syntax, easier to read and write. |
Paradigm | Procedural and imperative programming. | Functional programming with support for distributed computing. |
Typing | Static typing, requires explicit type declarations. | Dynamic typing, inherits Python's type system. |
Performance | Highly optimized for numerical and scientific computing, often faster for specific tasks. | Performance depends on the cluster and data size, generally slower for single-node tasks. |
Libraries and frameworks | Limited modern libraries, primarily focused on scientific computing. | Rich ecosystem with numerous libraries for data processing and machine learning. |
Community and support | Smaller, more niche community, primarily in academia and scientific fields. | Large and active community, extensive support and resources available. |
Learning curve | Steeper learning curve for beginners, especially with older syntax. | Gentler learning curve, especially for those familiar with Python. |