diff --git a/docs/docs/exceptions.md b/docs/docs/exceptions.md
index 2510ebf..8da62e9 100644
--- a/docs/docs/exceptions.md
+++ b/docs/docs/exceptions.md
@@ -91,12 +91,12 @@ def my_handler(job, *exc_info):
     # do custom things here
 ```
 
-{% highlight python %}
+```python
 from exception_handlers import foo_handler
 
 w = Worker([q], exception_handlers=[foo_handler],
            disable_default_exception_handler=True)
-{% endhighlight %}
+```
 
 
 ## Chaining Exception Handlers
diff --git a/docs/docs/workers.md b/docs/docs/workers.md
index a08f135..ad4ab65 100644
--- a/docs/docs/workers.md
+++ b/docs/docs/workers.md
@@ -138,7 +138,7 @@ Workers are registered to the system under their names, which are generated
 randomly during instantiation (see [monitoring][m]). To override this default,
 specify the name when starting the worker, or use the `--name` cli option.
 
-{% highlight python %}
+```python
 from redis import Redis
 from rq import Queue, Worker
 
@@ -147,7 +147,7 @@ queue = Queue('queue_name')
 
 # Start a worker with a custom name
 worker = Worker([queue], connection=redis, name='foo')
-{% endhighlight %}
+```
 
 [m]: /docs/monitoring/
 
diff --git a/docs/index.md b/docs/index.md
index b4b7845..4728bcf 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -15,43 +15,43 @@ First, run a Redis server.  You can use an existing one.  To put jobs on
 queues, you don't have to do anything special, just define your typically
 lengthy or blocking function:
 
-{% highlight python %}
+```python
 import requests
 
 def count_words_at_url(url):
     resp = requests.get(url)
     return len(resp.text.split())
-{% endhighlight %}
+```
 
 Then, create a RQ queue:
 
-{% highlight python %}
+```python
 from redis import Redis
 from rq import Queue
 
 q = Queue(connection=Redis())
-{% endhighlight %}
+```
 
 And enqueue the function call:
 
-{% highlight python %}
+```python
 from my_module import count_words_at_url
 result = q.enqueue(count_words_at_url, 'http://nvie.com')
-{% endhighlight %}
+```
 
 Scheduling jobs are similarly easy:
 
-{% highlight python %}
+```python
 # Schedule job to run at 9:15, October 10th
 job = queue.enqueue_at(datetime(2019, 10, 8, 9, 15), say_hello)
 
 # Schedule job to be run in 10 seconds
 job = queue.enqueue_in(timedelta(seconds=10), say_hello)
-{% endhighlight %}
+```
 
 You can also ask RQ to retry failed jobs:
 
-{% highlight python %}
+```python
 from rq import Retry
 
 # Retry up to 3 times, failed job will be requeued immediately
@@ -59,20 +59,20 @@ queue.enqueue(say_hello, retry=Retry(max=3))
 
 # Retry up to 3 times, with configurable intervals between retries
 queue.enqueue(say_hello, retry=Retry(max=3, interval=[10, 30, 60]))
-{% endhighlight %}
+```
 
 ### The worker
 
 To start executing enqueued function calls in the background, start a worker
 from your project's directory:
 
-{% highlight console %}
+```console
 $ rq worker --with-scheduler
 *** Listening for work on default
 Got count_words_at_url('http://nvie.com') from default
 Job result = 818
 *** Listening for work on default
-{% endhighlight %}
+```
 
 That's about it.
 
diff --git a/docs/patterns/django.md b/docs/patterns/django.md
index 4f0fc9b..bb83559 100644
--- a/docs/patterns/django.md
+++ b/docs/patterns/django.md
@@ -18,6 +18,6 @@ environmental variable will already do the trick.
 
 If `settings.py` is your Django settings file (as it is by default), use this:
 
-{% highlight console %}
+```console
 $ DJANGO_SETTINGS_MODULE=settings rq worker high default low
-{% endhighlight %}
+```
diff --git a/docs/patterns/index.md b/docs/patterns/index.md
index bf767ee..23f67a4 100644
--- a/docs/patterns/index.md
+++ b/docs/patterns/index.md
@@ -14,7 +14,7 @@ To setup RQ on [Heroku][1], first add it to your
 Create a file called `run-worker.py` with the following content (assuming you
 are using [Redis To Go][2] with Heroku):
 
-{% highlight python %}
+```python
 import os
 import urlparse
 from redis import Redis
@@ -35,7 +35,7 @@ if __name__ == '__main__':
     with Connection(conn):
         worker = Worker(map(Queue, listen))
         worker.work()
-{% endhighlight %}
+```
 
 Then, add the command to your `Procfile`:
 
@@ -43,13 +43,13 @@ Then, add the command to your `Procfile`:
 
 Now, all you have to do is spin up a worker:
 
-{% highlight console %}
+```console
 $ heroku scale worker=1
-{% endhighlight %}
+```
 
 If you are using [Heroku Redis][5]) you might need to change the Redis connection as follows:
 
-{% highlight console %}
+```console
 conn = redis.Redis(
     host=host,
     password=password,
@@ -57,16 +57,16 @@ conn = redis.Redis(
     ssl=True,
     ssl_cert_reqs=None
 )
-{% endhighlight %}
+```
 
 and for using the cli:
 
-{% highlight console %}
+```console
 rq info --config rq_conf
-{% endhighlight %}{% endhighlight %}
+``````
 
 Where the rq_conf.py file looks like:
-{% highlight console %}
+```console
 REDIS_HOST = "host"
 REDIS_PORT = port
 REDIS_PASSWORD = "password"
@@ -74,7 +74,7 @@ REDIS_SSL = True
 REDIS_SSL_CA_CERTS = None
 REDIS_DB = 0
 REDIS_SSL_CERT_REQS = None
-{% endhighlight %}{% endhighlight %}
+``````
 
 ## Putting RQ under foreman
 
diff --git a/docs/patterns/supervisor.md b/docs/patterns/supervisor.md
index d14a9e6..fc3e6e2 100644
--- a/docs/patterns/supervisor.md
+++ b/docs/patterns/supervisor.md
@@ -13,7 +13,7 @@ your product.
 RQ can be used in combination with supervisor easily.  You'd typically want to
 use the following supervisor settings:
 
-{% highlight ini %}
+```
 [program:myworker]
 ; Point the command to the specific rq command you want to run.
 ; If you use virtualenv, be sure to point it to
@@ -38,14 +38,14 @@ stopsignal=TERM
 ; These are up to you
 autostart=true
 autorestart=true
-{% endhighlight %}
+```
 
 ### Conda environments
 
 [Conda][2] virtualenvs can be used for RQ jobs which require non-Python
 dependencies. You can use a similar approach as with regular virtualenvs.
 
-{% highlight ini %}
+```
 [program:myworker]
 ; Point the command to the specific rq command you want to run.
 ; For conda virtual environments, install RQ into your env.
@@ -70,7 +70,7 @@ stopsignal=TERM
 ; These are up to you
 autostart=true
 autorestart=true
-{% endhighlight %}
+```
 
 [1]: http://supervisord.org/
 [2]: https://conda.io/docs/
diff --git a/docs/patterns/systemd.md b/docs/patterns/systemd.md
index a9a3aec..b313b6d 100644
--- a/docs/patterns/systemd.md
+++ b/docs/patterns/systemd.md
@@ -12,7 +12,7 @@ To run multiple workers under systemd, you'll first need to create a unit file.
 We can name this file `rqworker@.service`, put this file in `/etc/systemd/system`
 directory (location may differ by what distributions you run).
 
-{% highlight ini %}
+```
 [Unit]
 Description=RQ Worker Number %i
 After=network.target
@@ -31,7 +31,7 @@ Restart=always
 
 [Install]
 WantedBy=multi-user.target
-{% endhighlight %}
+```
 
 If your unit file is properly installed, you should be able to start workers by
 invoking `systemctl start rqworker@1.service`, `systemctl start rqworker@2.service`