Python vs Ruby, slightly more in-depth

July 13, 2009 § 54 Comments

Disclaimers

Edit (2009/08/04): It is not obvious for many readers that this blog and its articles are meant as opinion piece. It is also not obvious that I like both languages. Just to be clear, I do like both languages.

Introduction

Not too long ago on Reddit, someone posted Python vs Ruby. This kind of comparisons would be more interesting if the author take some time to actually highlights the merit of both languages.

So, let me take a stab at it.

Python has map, reduce, lambda, and list comprehension. Ruby has select, collect, reject, inject, and block, (and lambda).

Edit (2009/08/04): Thanks to everyone who reminded me that Ruby has lambda too.

These techniques allow programmers to perform operations on lists (or dict/hash) effectively. Some of these are not optimized for speed, so do not expect much on speed gain.

Both have set type, collection of distinct values. Set and List/Array are cast able bi-directionally.

Edit (2009/08/08): I forgot about Generator Expression in Python. It looks more or less like list comprehension, but it works using iterator as opposed to containing all values inside in-memory list.

Edit (2009/08/04): I mention lambda as one of the tools that help me manipulating list, not to point out that Python is cool for having lambda (Ruby is cool for having lambda too).

Python does not have anonymous function, but anonymous function maybe out of scope in this section. Because I can simply use lambda.

See:

Reflection and Meta Programming and Monkey Patching

Edit (2009/08/04): Thanks to readers for pointing it out that these are not the same thing. Although they do serve the same purpose for my use cases.

Both languages supports reflection (and meta-programming and monkey patching). That means you have access to the inner working of an object. Python gives you a lot of access via __these_kind_of_methods__ (I never knew what these are called), while Ruby gives you access to everything inside object.

Example of Python monkey patching: You can swapped out object.__class__ with a completely different class. You can also added extra methods to object.__dict__

You can manipulate Python classes on run-time, but not basic classes such as int or basestring. While in Ruby, you can manipulate everything, including replacing/adding methods inside Integer or String. Even though by default attributes are private, Ruby does not try to stop me from accessing them (use send).

As many of you might already know, Rails monkey-patch global object (e.g. object.blank?). I’m glad that Django and Pylons does NOT do that.

eval()/exec() are simply evil (annoys me) in both languages. They make debugging more difficult.

See:

File manipulation

Manipulating files in Python is horrible. The whole os, os.path, shutil, filecmp, tempfile business is convoluted and inconsistent. IMHO, Ruby wins big time.

Documentation

It’s not that easy to read Python documentation because it’s written like a narration. Whereas Ruby documentation follows Javadoc (which is my personal favorite) style. Use apidock.com for even better RTFM experience.

Edit (2009/08/04): Yes. That is my personal preference. If that’s not clear.

Testing

Ruby wins a lot of TDD practitioners. There are plethora of Ruby modules created for making testing experience truly wonderful. See: RSpec, Shoulda, Factory Girl, Selenium.

Python mocking libraries are still not trivial to use. Testing is an area where Python can learn from Ruby (Yes, Selenium also supports Python).

Edit (2009/08/04): Thanks for telling me about windmill!

Visitor Pattern

Visitor pattern is a technique of decoupling logic from object. Often times, there are logic which needs to be shared among objects that do not share the same parent. Decorator is Python’s implementation to visitor pattern, while in Ruby, this could be done by including module/mixin.

Edit (2009/08/04): Example on why I think decorator is visitor pattern (See @InputEvaluator below):

class InputEvaluator(object):

  def __init__(self, func):
    self.func = func

  def __call__(self):
    # add functionality before self.func is executed
    self.func()
    # add functionality after self.func is executed
    # While I'm at it, I can manipulate things inside self.func.__class__, or __name__

They are not PHP

Both do not have GOTO and are general purpose language. They have real objects and objects can persist longer than the life cycle of HTTP request.

As general purpose language, both have interactive console (plus debugger). Useful for testing features that I forgot. PHP5 does have CLI, but seriously…

Although, I have to say PHP’s require_once is nice. That’s 1 thing I have to gripe about in Python, circular import.

Circular Import

A lot of pythonistas say that if programmer have circular import, then s/he usually have bad design. That’s likely to be correct. But, on those rare cases where the design is good, circular import becomes a huge pain in the neck. A good example of this would be:

2 SqlAlchemy model classes which have classmethod that calls the other class. Perfectly legitimate use case, but now both of those model classes have to be put under the same file because of circular import (To NOT have to do this,  create a method that calls the other classmethod). I believe this ruins code maintainability.

Edit (2009/08/04): See commentary’s input on how to avoid this situation.

HTTP and other basic networking

Python comes with webbrowser, urllib2, smtp, http, SocketServer, HttpServer, and more, while Ruby only has net/HTTP

With all those tools, building things like web spider is trivial in Python.

Edit (2009/08/04): This section is just about standard library. I don’t have enough material to elaborate on this. Thus, it’s fair to criticize this section.

Threading

Both are terrible in threading. Python has GIL which limits its threading performance, while Ruby’s threading is leaking memory. (I think 1.9 address this issue. Anyone can confirm this?)

Edit (2009/08/04): Yes! yes! yes! for those who said that Jython and JRuby do not have these problems.

Daemonize

Both does not have daemonize as part of standard library, although it’s very easy to roll my own.

Java

Jython and JRuby exists and both are making using Java significantly more productive.

  • JRuby is actually really nice and have “real” threading implementation.
  • Using Jython for manipulating Swing objects is surprisingly a happy experience.

Modules (for Web Apps)

Both have so many useful modules for building web applications.

Python have: Django, Pylons, web.py, Beautiful Soup, SqlAlchemy, Paste, Werkzeug, Routes (totally “inspired” by Rails), Shove, Pygments, a dozen or so template languages (my favorite is Mako), 4 different JSON modules (cjson is faster than simple-json when looping through 10,000 times. I don’t actually know if this is the best way to benchmark the two), various performance improvement modules (psyco, pyrex, cython)

Ruby have: Rails, Merb, Sinatra, HPricot, DataMapper, Mongrel, ActiveSupport, Moneta, erb, json, RubyInline

Edit (2009/08/04): If it’s not obvious, I am making direct comparison between Python and Ruby here. Yes, I have used all these modules (except Merb and DataMapper. They look awesome though.)

They are both totally interchangeable for building web applications. Both still needs javascript to make awesome looking web applications.

Edit (2009/08/04): I need to elaborate this point, there are modules in both Python and Ruby which sole purpose is to generate javascript code. For front end web development, I prefer to solve javascript problems in javascript. Go jQuery!

IMHO, outside web app realm, Python is better positioned. See: Pyglet, WxWidget, SciPy, etc.

Getting Paid

Python surprisingly lacks of mature library that handles online payments (Python people are not worried about paying customer?). I would appreciate it if anyone can point me to a good payment API in Python.

Whereas Ruby have Payment and ActiveMerchant

Edit (2009/08/04): See comments below for Python payment module.

Big Companies Backing

I believe Python is winning here. Google, Youtube, Yelp, Nasa, Honeywell, etc. use Python. On the other hand, yellowpages.com, AboutUs, and these guys use Ruby. I heard that Amazon Fresh uses RoR, can anyone confirm?

Edit (2009/08/05): Some have suggested that Apple is leaning towards Ruby camp, especially with MacRuby project (link).

Conclusion

These languages are interchangeable for building web application. Neither are more awesome. They get the job done and they make programmers happy.

Thanks HN visitors for giving thoughtful comments! I’ll try my best to keep up with you guys in updating this article.

[fixing layout]

Ruby: A lot of 1 Liners

May 14, 2009 § Leave a comment

http://www.rubyinside.com/21-ruby-tricks-902.html

Ruby: Just rescue…

May 13, 2009 § Leave a comment

Do not assume that Ruby will catch ALL exceptions if you just say rescue. Because it doesn’t.

Found it out the hard way, but luckily this guy found it the hard way too.

Mysql: benchmarking many writes

April 28, 2009 § Leave a comment

Purpose:

  • Benchmarking Mysql writes to be compared with key-value databases writes.

Basic info:

  • 2.53 G Core 2 Duo Mac Book Pro
  • 4 GB RAM
  • Ruby client

Code can be found: here

Results for 100,000 rows with 16 char length value:

Write 100000 rows with string-length: 16
Thread ID: 659670
Total: 9.095328

%self     total     self     wait    child    calls  name
66.58      6.06     6.06     0.00     0.00   100000  Mysql#query (ruby_runtime:0}
20.30      9.10     1.85     0.00     7.25        1  Integer#times (ruby_runtime:0}
13.11      1.19     1.19     0.00     0.00   100000  Object#insert_statement (/Users/didip/projects/ruby/mysql-profile/write_profile.rb:27}
0.00      9.10     0.00     0.00     9.10        1  Object#write_many_profile (/Users/didip/projects/ruby/mysql-profile/write_profile.rb:37}

Results for 1,000,000 rows with 16 char length value:

Write 1000000 rows with string-length: 16
Thread ID: 659670
Total: 88.175784

%self     total     self     wait    child    calls  name
66.33     58.49    58.49     0.00     0.00  1000000  Mysql#query (ruby_runtime:0}
20.48     88.18    18.06     0.00    70.12        1  Integer#times (ruby_runtime:0}
13.19     11.63    11.63     0.00     0.00  1000000  Object#insert_statement (/Users/didip/projects/ruby/mysql-profile/write_profile.rb:27}
0.00     88.18     0.00     0.00    88.18        1  Object#write_many_profile (/Users/didip/projects/ruby/mysql-profile/write_profile.rb:37}

Even Matz love Python

March 27, 2009 § Leave a comment

Matz love Python

Matz love Python

Another KVDB: Redis

March 9, 2009 § Leave a comment

More and more KVDB projects are entering the scene, this time is Redis.

Why redis is cool? Writes to disk is perform periodically as opposed to immediate. Perfect for applications that are cache-heavy.

It boasted 100,000+ writes/sec. That’s pretty cool, the fastest benchmark I’ve seen so far. But don’t jump on it for mission critical application, yet. They just got started on implementing the replication. Just wait for a bit, from browsing the source, codes are checking in daily.

References:

Ruby on Rails: YellowPages.com

March 8, 2009 § Leave a comment

Don’t know if many readers know this, but yellowpages.com uses Ruby on Rails.

Below is the slide presentation by 1 of their developer.

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You are currently browsing the ruby category at RAPD.

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