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Learn MorePros of Python
Pros of Solano CI
Pros of Python
- Great libraries1.2K
- Readable code960
- Beautiful code845
- Rapid development786
- Large community689
- Open source435
- Elegant392
- Great community281
- Object oriented272
- Dynamic typing219
- Great standard library77
- Very fast59
- Functional programming55
- Easy to learn48
- Scientific computing45
- Great documentation35
- Productivity29
- Easy to read28
- Matlab alternative28
- Simple is better than complex23
- It's the way I think20
- Imperative19
- Free18
- Very programmer and non-programmer friendly18
- Powerfull language17
- Machine learning support17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- It's lean and fun to code8
- Import antigravity8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- Although practicality beats purity6
- Flat is better than nested6
- Great for tooling6
- Rapid Prototyping6
- Readability counts6
- High Documented language6
- I love snakes6
- Fast coding and good for competitions6
- There should be one-- and preferably only one --obvious6
- Now is better than never6
- Great for analytics5
- Lists, tuples, dictionaries5
- Easy to learn and use4
- Simple and easy to learn4
- Easy to setup and run smooth4
- Web scraping4
- CG industry needs4
- Socially engaged community4
- Complex is better than complicated4
- Multiple Inheritence4
- Beautiful is better than ugly4
- Plotting4
- 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
- It is Very easy , simple and will you be love programmi3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- Batteries included2
- Should START with this but not STICK with This2
- Powerful language for AI2
- Can understand easily who are new to programming2
- Flexible and easy2
- Good for hacking2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Sexy af1
- Slow1
- Securit1
- Ni0
- Powerful0
Pros of Solano CI
- Uber-fast highly customizable parallel builds10
- Awesome support and easy to integrate!7
- Github integration and automatic branch tracking7
- Integration with AWS Code Pipeline3
- Powerful and flexible with super helpful service2
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Cons of Python
Cons of Solano CI
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 Solano CI
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- No public GitHub repository available -
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 Solano CI?
Faster Continuous Integration and Deployment with patented auto-parallelization. See results 10 to 80x faster. 14-day free trial. No credit card required.
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What companies use Python?
What companies use Solano CI?
What companies use Solano CI?
See which teams inside your own company are using Python or Solano CI.
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What tools integrate with Python?
What tools integrate with Solano CI?
What tools integrate with Solano CI?
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What are some alternatives to Python and Solano CI?
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
R Language
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
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.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.