A scientific toolkit that will inspire you and your team to work with more collaboration than ever before.

It works almost like LRU Cache but allows you:

1. Use the same cache in different processes;
2. Use the same cache at the different moments of time;
3. Easily share your local runtime results with your teammates!

Using memcached as a backend allows you to cache really large things.

Using pip:

pip install keepthis

From source:

# 1. clone this repo
git clone https://github.com/puhoshville/keepthis.git

# 2. cd to repository's root directory
cd keepthis

# 3. install
pip install -e .

I recommend you to use docker image for your first-time interactions with the library:

docker run -d --rm -p 11211:11211 memcached

More information about docker image

! Before using KeepThis please make sure that you have memcached instance to store cache.

1. Import and initialize instance

   from keepthis import KeepThis
   
   
   keep = KeepThis('localhost', 11211)  # connect to local memcached instance

2. Define a function with keepthis decorator

   @keep.this
   def get_fibonacci(num):
       if num == 0:
           return 1
       if num == 1:
           return 1    
       return get_fibonacci(num-1) + get_fibonacci(num-2)

3. Done! All computations will be stored in memcached and will be reused if needed.

You can find out usage examples of KeepThis in examples/ and notebooks/