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Learn MorePros of Haskell
Pros of Python
Pros of Stan
Pros of Haskell
- Purely-functional programming89
- Statically typed66
- Type-safe59
- Open source39
- Great community38
- Built-in concurrency30
- Composable29
- Built-in parallelism29
- Referentially transparent23
- Generics19
- Intellectual satisfaction14
- Type inference14
- If it compiles, it's correct11
- Flexible7
- Monads7
- Proposition testing with QuickCheck4
- Great type system4
- Purely-functional Programming3
- One of the most powerful languages *(see blub paradox)*3
- Highly expressive, type-safe, fast development time2
- Reliable2
- Kind system2
- Pattern matching and completeness checking2
- Better type-safe than sorry2
- Type classes2
- Great maintainability of the code2
- Fun2
- Best in class thinking tool2
- Orthogonality0
- Predictable0
Pros of Python
- Great libraries1.2K
- Readable code951
- Beautiful code837
- Rapid development781
- Large community684
- Open source428
- Elegant387
- Great community279
- Object oriented270
- Dynamic typing215
- Great standard library76
- Very fast57
- Functional programming52
- Easy to learn45
- Scientific computing44
- Great documentation34
- Matlab alternative27
- Easy to read26
- Productivity26
- Simple is better than complex22
- It's the way I think19
- Imperative18
- Free17
- Very programmer and non-programmer friendly16
- Powerfull language15
- Machine learning support15
- Fast and simple14
- Powerful14
- Scripting13
- Explicit is better than implicit10
- Clear and easy and powerfull9
- Unlimited power9
- Ease of development9
- Import antigravity8
- It's lean and fun to code7
- Print "life is short, use python"7
- Great for tooling6
- Fast coding and good for competitions6
- There should be one-- and preferably only one --obvious6
- Although practicality beats purity6
- Python has great libraries for data processing6
- Flat is better than nested6
- High Documented language6
- I love snakes6
- Now is better than never5
- Readability counts5
- Rapid Prototyping5
- Complex is better than complicated4
- Web scraping4
- CG industry needs4
- Great for analytics4
- Socially engaged community4
- Lists, tuples, dictionaries4
- Multiple Inheritence4
- Beautiful is better than ugly4
- Plotting4
- Simple and easy to learn3
- Generators3
- Easy to learn and use3
- Many types of collections3
- No cruft3
- List comprehensions3
- Pip install everything3
- Special cases aren't special enough to break the rules3
- If the implementation is hard to explain, it's a bad id3
- If the implementation is easy to explain, it may be a g3
- Easy to setup and run smooth3
- Import this3
- Shitty2
- Flexible and easy2
- It is Very easy , simple and will you be love programmi2
- Batteries included2
- Can understand easily who are new to programming2
- Powerful language for AI2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Powerful0
Pros of Stan
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Cons of Haskell
Cons of Python
Cons of Stan
Cons of Haskell
- Error messages can be very confusing8
- Too much distraction in language extensions8
- Libraries have poor documentation4
- No best practices3
- No good ABI3
- Sometimes performance is unpredictable2
- Poor packaging for apps written in it for Linux distros2
- Slow compilation1
Cons of Python
- Still divided between python 2 and python 351
- Performance impact28
- Poor syntax for anonymous functions26
- GIL21
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow11
- Not everything is expression8
- Indentations matter a lot7
- Explicit self parameter in methods7
- Incredibly slow7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Official documentation is unclear.5
- The "lisp style" whitespaces5
- Fake object-oriented programming5
- Hard to obfuscate5
- Threading5
- Circular import4
- The benevolent-dictator-for-life quit4
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
Cons of Stan
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- No public GitHub repository available -
What is Haskell?
It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.
What is Python?
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
What is Stan?
A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
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What are some alternatives to Haskell, Python, and Stan?
Scala
Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
Clojure
Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.
Erlang
Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
Rust
Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
OCaml
It is an industrial strength programming language supporting functional, imperative and object-oriented styles. It is the technology of choice in companies where a single mistake can cost millions and speed matters,