What is Arduino and what are its top alternatives?
Top Alternatives to Arduino
Raspberry Pi
A low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. It is a capable little device that enables people of all ages to explore computing, and to learn how to program in languages like Scratch and Python. ...
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. ...
ESP32
It is a feature-rich MCU with integrated Wi-Fi and Bluetooth connectivity for a wide-range of applications. ...
Arduino alternatives & related posts
Raspberry Pi
related Raspberry Pi posts
Python
- Great libraries1.1K
- Readable code934
- Beautiful code826
- Rapid development771
- Large community674
- Open source420
- Elegant380
- Great community270
- Object oriented262
- Dynamic typing209
- Great standard library71
- Very fast53
- Functional programming50
- Scientific computing37
- Easy to learn36
- Great documentation31
- Matlab alternative25
- Productivity23
- Easy to read23
- Simple is better than complex20
- It's the way I think18
- Imperative17
- Very programmer and non-programmer friendly15
- Free15
- Powerfull language14
- Powerful14
- Fast and simple13
- Scripting12
- Machine learning support11
- Explicit is better than implicit9
- Unlimited power8
- Ease of development8
- Clear and easy and powerfull8
- Import antigravity7
- It's lean and fun to code6
- Print "life is short, use python"6
- Great for tooling5
- Fast coding and good for competitions5
- There should be one-- and preferably only one --obvious5
- Python has great libraries for data processing5
- High Documented language5
- I love snakes5
- Although practicality beats purity5
- Flat is better than nested5
- Readability counts4
- Rapid Prototyping3
- Socially engaged community3
- Beautiful is better than ugly3
- CG industry needs3
- Great for analytics3
- Multiple Inheritence3
- Complex is better than complicated3
- Plotting3
- Now is better than never3
- Lists, tuples, dictionaries3
- List comprehensions2
- Web scraping2
- Many types of collections2
- Ys2
- Easy to setup and run smooth2
- Generators2
- Special cases aren't special enough to break the rules2
- If the implementation is hard to explain, it's a bad id2
- If the implementation is easy to explain, it may be a g2
- Simple and easy to learn2
- Import this2
- No cruft2
- Easy to learn and use2
- Better outcome1
- It is Very easy , simple and will you be love programmi1
- Powerful language for AI1
- Should START with this but not STICK with This1
- Flexible and easy1
- Batteries included1
- Good1
- A-to-Z1
- Only one way to do it1
- Because of Netflix1
- Pip install everything1
- Powerful0
- Pro0
- Still divided between python 2 and python 351
- Performance impact29
- Poor syntax for anonymous functions26
- GIL21
- Package management is a mess19
- Too imperative-oriented14
- Dynamic typing12
- Hard to understand12
- Very slow10
- Not everything is expression8
- Indentations matter a lot7
- Explicit self parameter in methods7
- No anonymous functions6
- Poor DSL capabilities6
- Incredibly slow6
- Requires C functions for dynamic modules6
- The "lisp style" whitespaces5
- Fake object-oriented programming5
- Hard to obfuscate5
- Threading5
- Circular import4
- The benevolent-dictator-for-life quit4
- Official documentation is unclear.4
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python posts
Jaeger
Python
Java
Node.js
Go
C++
Kubernetes
JavaScript
Red Hat OpenShift
C#
Apache SparkHow Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.
We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)
We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.
Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.
#FrameworksFullStack #Languages