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今日推薦開源項目：《它說它比隔壁 Django 要快 Vibora》傳送門：GitHub鏈接
推薦理由：Vibora 和 Django 一樣是一個 Python Web 框架，相信有不少同學都已經知道 Django 了，但是這次新推出的 Vibora 的 RPC（Requests per second）是 Django 的五倍之多，可見其性能的差異……雖然說五倍是不是有點太誇張了呢……順帶一提，RPC 實際上又可以稱為吞吐率，吞吐率是伺服器並發處理能力的量化描述，單位是 requests/s ，指的是某個並發用戶數下單位時間內處理的請求數。
RPC 對比：
今日推薦英文原文：《Goodbye Python. Hello Go. 》作者：
原文鏈接：https://thinkfaster.co/2018/07/goodbye-python-hello-go/
推薦理由：介紹了用 Go 代替 Python 的優點和缺點
Goodbye Python. Hello Go.
I』ve been using Go for a lot of the tasks where I used to use Python.
Some examples:
- Processing Cloudfront logs stored in S3
- Moving Terabytes of files between buckets and/or regions in S3
- Matching up files between our database records and S3 ensuring everything is in sync.
Most are one-off tasks which is why a scripting language has been ideal. The program needs to be written quickly and then most likely thrown away. You might be able to re-use some code, but usually you』re doing something new and unique.
Below are some advantages of using Go for these tasks instead of Python.
Having a Compiler is Nice
I make stupid mistakes in Python constantly. I misname a variable or a function or I pass in the wrong arguments. Your devtools can catch some of these, but they usually require special setup. I』ve never been able to configure pylint easily, and I』m not a fan of full blown IDEs that require their own configuration.
The worst is if you mistype a variable that』s hidden behind conditional logic. Your script might run for hours before triggering the error, and then everything blows up, and you have to restart it.
Unit tests would catch most of these, but it』s hard to get 100% code coverage, and I don』t want to spend time writing unit tests for a one-off script.
Compiled languages make all these problems go away. The compiler catches all the silly things you miss. Because of this, I prefer languages like Go for anything over a couple hundred lines.
Development Speed
The flip side to having a compiler is that usually your development speed decreases. This is especially true with C/C++ and Java.
Go is simple enough where I found the development speed hit to be minimal. Don』t get me wrong, I can still write code faster in Python, but I probably achieve 85% of my Python productivity in Go.
85% isn』t bad when I consider how many fewer mistakes I』ll make with the benefit of the compiler.
Better Parallelism
As you probably know, Go was built from the ground-up for parallel execution.
On my team, we usually need parallel programs because we』re dealing with a lot of data in S3 or in our database.
If the task is IO bound (which many are), then we can successfully employ Python threads. But if it』s is CPU intensive, Python will restrict you with the Global Interpreter Lock.
I also enjoy how simple things 「just work」 in multi-threaded Go without doing anything special. Ever had that problem where you Ctrl-C your multithreaded python code and it doesn』t do anything?
Easier Deployment
I like having a single binary. I usually run code on EC2 machines to give my scripts closer network proximity to S3 and to our database. With Python, I have to ensure all the packages I need are installed on the remote machine, and that one of my coworkers hasn』t installed anything conflicting.
Virtualenvs solve most of this problem, but I still find Go easier.
Usually I cross compile my code on my Mac to Linux, copy it to the remote machine, and I』m off and running. All my dependencies are contained in my binary.
Consistent Styling
At first, the gofmt tool annoyed me, particularly their choice of using tabs instead of spaces. I thought that was insane.
But as I use it more, I』ve come to depend on it. I get free formatting right out of the box. All of my code is always styled consistently, regardless of what project I』m working on because the formatting is a feature of the standard Go tooling.
I have to put in much more effort to get the same effect in Python. I have to configure pylint correctly and then ensure it』s used in every single project.
Better Tooling
Gofmt is just one example of a general theme. All of the editors I love – VSCode, vim, and Sublime Text, all have great Golang extensions that take advantage of the standard Go tooling.
As a result I get intellisense similar to Java, but without using a real IDE. I』ve never come close to that ability with Python.
Disadvantages
Whenever I read posts criticizing Go, it』s usually because of the obvious features that are missing, like generics. I』ve never had much trouble with missing generics – you』d be surprised how much you can do with maps and slices, but I have had numerous other problems.
Go is opinionated
First, Go is probably the most opinionated language I』ve ever used. From forcing you to use tabs instead of spaces (assuming you』re using gofmt), to forcing you to use a certain directory structure, to making you code within the GOPATH environment variable, there are many features of Go which are not easy to change.
One of the reasons it』s so easy to learn is because you can』t change these features. If you don』t want to export every name that starts with a capital letter, then too bad for you. Fortunately, for me none of these are deal breakers, but I could understand if they are for others.
Python is much more flexible.
Somewhat Poor library support
It』s not fair to compare Python and Go in this arena. Go is a lot newer after all, but I』m still baffled when I find features that Go doesn』t support out of the box. I』m even more baffled when people on StackOverflow post code which should be a built-in function, and then act like there』s no problem with every person copying and pasting that code into their project.
2 examples that come to mind in the last couple of years:
- Sorting a slice (fortunately this was made easier in Go 1.8)
- Math.round only working with integers and not allowing you to Round to float values (e.g. if you want to round to the nearest .5). And before Go 1.10 there wasn』t even a math.round.
Granted, some of these are because Go doesn』t have generics, and some of them are because I think the developers of Go are following the strategy of only adding things to the standard libraries which are absolutely necessary.
I understand both of these points, but it』s still annoying when you encounter some trivial functionality that you have to code yourself.
Hopefully as the language continues to evolve, these pain points become fewer and fewer.
每天推薦一個 GitHub 優質開源項目和一篇精選英文科技或編程文章原文，歡迎關注開源日報。交流QQ群：202790710；微博：https://weibo.com/openingsource；電報群 https://t.me/OpeningSourceOrg
