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Learn MorePros of Haskell
Pros of Python
Pros of Stan
Pros of Haskell
- Purely-functional programming90
- Statically typed66
- Type-safe59
- Open source39
- Great community38
- Built-in concurrency31
- Built-in parallelism30
- Composable30
- Referentially transparent24
- Generics20
- Type inference15
- Intellectual satisfaction15
- If it compiles, it's correct12
- Flexible8
- Monads8
- Great type system5
- Proposition testing with QuickCheck4
- One of the most powerful languages *(see blub paradox)*4
- Purely-functional Programming4
- Highly expressive, type-safe, fast development time3
- Pattern matching and completeness checking3
- Great maintainability of the code3
- Fun3
- Reliable3
- Best in class thinking tool2
- Kind system2
- Better type-safe than sorry2
- Type classes2
- Predictable1
- Orthogonality1
Pros of Python
- Great libraries1.2K
- Readable code964
- Beautiful code847
- Rapid development788
- Large community691
- Open source438
- Elegant393
- Great community282
- Object oriented273
- Dynamic typing221
- Great standard library77
- Very fast60
- Functional programming55
- Easy to learn51
- Scientific computing46
- Great documentation35
- Productivity29
- Easy to read28
- Matlab alternative28
- Simple is better than complex24
- It's the way I think20
- Imperative19
- Very programmer and non-programmer friendly18
- Free18
- Powerfull language17
- Machine learning support17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- Import antigravity8
- It's lean and fun to code8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- Rapid Prototyping6
- Readability counts6
- Now is better than never6
- Great for tooling6
- Flat is better than nested6
- Although practicality beats purity6
- I love snakes6
- High Documented language6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Web scraping5
- Lists, tuples, dictionaries5
- Great for analytics5
- Easy to setup and run smooth4
- Easy to learn and use4
- Plotting4
- Beautiful is better than ugly4
- Multiple Inheritence4
- Socially engaged community4
- Complex is better than complicated4
- CG industry needs4
- Simple and easy to learn4
- It is Very easy , simple and will you be love programmi3
- Flexible and easy3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- List comprehensions3
- No cruft3
- Generators3
- Import this3
- Powerful language for AI3
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Batteries included2
- Good for hacking2
- Securit2
- Procedural programming1
- Best friend for NLP1
- Slow1
- Automation friendly1
- Sexy af1
- Ni0
- Keep it simple0
- Powerful0
Pros of Stan
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Cons of Haskell
Cons of Python
Cons of Stan
Cons of Haskell
- Too much distraction in language extensions9
- Error messages can be very confusing8
- Libraries have poor documentation5
- No good ABI3
- No best practices3
- Poor packaging for apps written in it for Linux distros2
- Sometimes performance is unpredictable2
- Slow compilation1
- Monads are hard to understand1
Cons of Python
- Still divided between python 2 and python 353
- Performance impact28
- Poor syntax for anonymous functions26
- GIL22
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
Cons of Stan
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51.2K
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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,