For the past many many years my goto language has been Python. I’ve written all sorts of applications using Python:

Django web apps

Client side GUI applications with PyQt

Data science stuff with numpy, pandas, etc.

Alexa applications

Serverless systems and web APIs

Microservices and a microservice library

Many backend services to power various SAAS and non-SAAS applications

Whenever there is some type of problem I need to solve programatically, I reach for Python. Sure, I can be effective in other languages, but by and large, I’m a Python guy.

The problem

Not too long ago I counted it up…over the past seven years I’ve worked at three companies all which had these things in common:

Python web stacks

Django

Spaghetti code which is (extremely) hard to reason about and evolve

Where I landed many months ago was being unhappy and unsatisfied with Django and all of the wrong decisions which are easy to make when using it to build a web application. I don’t think this is necessarily a problem with Python or Django themselves, however I do feel that both Python and Django enable developers to make poor decisions when architecting a web application. Maybe to frame this in a more positive light, it’s hard to make good decisions when writing a large Django application. If anything, Django is an enabler (and guilt by association, Python).

Node and JavaScript are probably even worse and more enabling at bad patterns. Rails and Ruby, yes…although with Rails there are such strong conventions around the “Rails way” that at least people don’t have to look very far to figure out the “right” way of doing something (don’t take this as an endorsement…I believe this creates a community which freaks out if they don’t have an existing pattern to copy/paste).

Django makes it very easy to couple different parts of your application together, in spite of your best intentions. I would venture to say that most of this comes down to the ORM. Want to import some models from a completely different part of your application and start firing off queries? No problem. Want to write a triple nested loop over a queryset and fire off 1M+ DB statements for related records? Sure! (Note, I have seen this done and spent weeks fixing it). Need some data in your template? Just shove an all() queryset in your template and iterate to your hearts content. This works great when you have 10 rows in your table, not so much when you have 1M rows.

Where I’m going is that I said to myself

There must be a better way

The (possible) solution

Slowly, I’ve been digging into Elixir. Why? I wanted to learn and use a functional language to see if it would solve some of the problems I’ve hit with imperative languages like Python. Here are a few other things which helped point me in the Elixir direction:

Erlang VM (BEAM) Ability for some massive concurrency Built-in messaging (hello microservices) Possibility of hot-loading new code

Picking up lots of steam mostly from the Rails community. But the bottom line is that the “there must be a better way” theme is shared from different communities

Ringing endorsements from other web influencers

Of course, I could be wrong…Elixir could not be the solution I’m looking for. However, I do know that I want need a new way of building web applications and microservices. Here, I’d like to do a series of posts about exploring and learning Elixir from the perspective of a Python developer.

Elixir for Pythonistas

I would rather not do a series on Elixir syntax, but it’s inevitable that I’ll need to cover some things. There are plenty of resources online about the Elixir language itself…the official docs are quite good. I’ll recommend the following if you’d like to start from zero:

Very quickly I’d like to get rolling into the distributed nature of Elixir/Erlang, which I currently don’t know many details about. Let’s start with some basics.

NOTE: I will say things like, “unlike Python…” due to the fact that I’m writing from the Pythonistas perspective. In reality, these comparisons should be made with procedural or OO languages. Here, I’ll just use Python to represent that class of languages unless I’m discussing something truly unique to Python.

Immutability and Variables

Unlike Python, variables are immutable. For example:

>>> d = { 'name' : 'bz' , 'height' : 67 } >>> some_function(d)

Now, what is the value of d without knowing the details of some_function ? It’s impossible to answer this. The reason is that you’re passing the d dictionary by reference, which means some_function can mutate any mutable object it’s given (lists, sets, class, instances, etc.)

What about Elixir:

iex > d = %{ name : "brian" , height : 67 } %{ height : 67 , name : "brian" } iex > some_function . (d) %{ height : 67 , name : "Fred" }

You’ll notice that the Elixir shell spits out values while it’s evaluating commands. Here, we can see that some_function is replacing the name key with "Fred" . But, look at d after all of this.

iex > d %{ height : 67 , name : "brian" }

That’s right…our original map ( dict in Python terms) is unchanged. That’s pretty great. All of a sudden it become much easier to reason about what your program is doing since we’re dealing with data rather than behavior.

So, if we really did want to update our map, how would we handle this? We’ll simply reassign the d variable to the results returned from some_function :

iex > d = some_function . (d) │ :yes %{ height : 67 , name : "Fred" } iex > d %{ height : 67 , name : "Fred" }

Let’s just try to manhandle this thing:

iex > Map . put(d, :name , "sam" ) %{ height : 67 , name : "sam" } iex > d %{ height : 67 , name : "Fred" }

Doh! You cannot mutate an existing object. You will always be creating new objects. What you do with those is up to you.

I like this very much. Tracing code is now a matter of looking at what is occurring to the data, rather than trying to track down what code is changing this class instance, dict, etc from under me. There are other implications and advantages to immutable data types I won’t cover here.

Pattern matching

You’ll hear the term “pattern matching” a lot with Elixir (and I’d guess, with Erlang). This will likely be the biggest shift in thinking when coming from Python to Elixir, but I think it’s easy to understand as you work with it.

Above, we seemingly assigned a map to a variable d . Don’t be fooled here…what we did was pattern match the left side of the equality operator with the right side. What does that mean exactly?

Elixir will take an expression and attempt to match whatever is on the left side of the equals sign with that is on the right side, in this case, what is happening is that Elixir is matching the variable d with the map on the right:

iex > d = %{ name : "brian" , height : 67 }

There is one item on the left, d and one on the right, %{name: "brian", height: 67} …so d ends up being pointed at this map.

Let’s look an Elixir tuple:

iex > tup = { 1 , 2 , 3 } { 1 , 2 , 3 }

Makes sense. But we can also do this:

iex > {a, b, c} = { 1 , 2 , 3 } { 1 , 2 , 3 } iex > a 1 iex > b 2 iex > c 3

What is happening here is that Elixir attempt to match the left and right side. Because we have the same number of arguments, the right side values are assigned to the left side variables. This is “unpacking” in Python…we can do the same thing so you may not be very impressed (yet):

>>> tup = ( 1 , 2 , 3 ) >>> (a, b, c) = tup

Going back to our Map / dict, how would you extract the value of a dictionary key and assign it into a variable?

>>> d { 'name' : 'bz' , 'height' : 67 } >>> myheight = d . get( 'height' ) >>> myheight 67

With Elixir, we can extract a value by matching a key on the left with the right:

iex > %{ height : myheight} = d %{ height : 67 , name : "Fred" } iex > myheight 67

Wow…so we’re saying, “Elixir, please match a Map with a key of “height” on the left with whatever is on the right. If that matches, assign the variable myheight to whatever the value is on the right side”

That may seem trivial now, but it’s the underpinning of Elixir and helps preventing code like this:

def view_function (request, user, reports = None): reports = reports or {} for key, f in reports . items(): perm_key = 'user.can_view_ %s _report' % key if key == 'unsigned' and not user . sig_on: continue if key in ( 'foo' , 'br' ) and not user . new_user: continue if key in ( 'payments' , 'all' , 'client' ) and not user . track: continue if key == 'authorizations' and not user . cms_user: continue if key == 'totalcostof' and not user . is_foobar: continue if key == 'premiums' and not \ (user . some_attribute and request . user . admin and request . user . admin . is_manager): continue

In Elixir, all of these conditionals could be handled with pattern matching, resulting in multiple functions that handle some specific part of our domain logic. The code above becomes very very hard to reason about, test and debug. Sure, this can be refactored, but to my previous points because it’s possible to write code like this, it’s inevitable that people will.

Conclusion

That’s it for now. I hope to continue on this path of exploring Elixir and writing about the highlights I find interesting.