fastmap 0.0.12
Fastmap offloads arbitrary Python code via the open source fastmap cloud service.
Requires Python: >=3.7

> Note: Fastmap is currently in beta. 

![Version 0.0.12](https://img.shields.io/badge/version-0.0.12-red)

<p align="center">
    <img alt="fastmap logo" src="assets/fastmap_logo.png" width="400" />
</p>

Fastmap offloads and parallelizes arbitrary Python functions on the cloud.

- **🌤  Offload anything** Fastmap is the easiest way to offload Python code. Use fastmap.offload wherever you would might have needed an EC2.
- **🔗  Parallelize in one line** With Fastmap, you can parallelize any Python function across as many workers as it takes. Use fastmap.map wherever you might have needed a Lambda.
- **🚀  Deploy in minutes** Fastmap comes with an open-source cloud service. With a Google Cloud Platform account, you can setup and deploy fastmap with one command.
- ** 🛀  Built for productivity** Fastmap is designed to eliminate infrastructure and speed up your work. Spend your time writing code - not fighting infrastructure.

Fastmap is in active development. For more information, see https://fastmap.io.


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![Demo gif of fastmap](assets/demo.gif)

- **🚀 Speed up parallel tasks**. Fastmap automatically parallelizes your code and distributes work locally and on the cloud.
- **🐣 Trivial to use**. Add `global_init` to the top of your file, and replace every instance of `map` with `fastmap`. There is no code to upload and the SDK consists of [only 3 functions](https://fastmap.io/docs#interface).
- **🐣 Free and open**. Fastmap is open source, transparent, and simple. Don't get locked into proprietary frameworks or, for that matter, your own infrastructure.
- **🚀 Deploy in minutes**. With a Google Cloud Platform account, you can setup and deploy your fastmap cloud service with [one command](https://github.com/fastmap-io/fastmap-server).

### Docs

For complete documentation, go to [https://fastmap.io/docs](https://fastmap.io/docs),


### SDK installation

```bash
pip3 install -U fastmap
```


### Conceptual local example

This maps your code locally across multiple CPUs.
For a LOCAL exec policy, no extra server setup is required.

```python
import csv
from my_project import big_function
import fastmap

config = fastmap.init(exec_policy="LOCAL")

with open('lots_of_data.csv') as fh:
    long_list = list(csv.reader(fh))

results = list(config.fastmap(big_function, long_list))

```


### Conceptual cloud example

To setup a server to test with, see https://github.com/fastmap-io/fastmap-server. This can be deployed either locally or to GCP. After running the single-command deploy script, you will have your CLOUD_URL and SECRET_TOKEN.

*Important: Protect your secret token like a password and never commit it to version control*

```python
import csv
from config import CLOUD_URL, SECRET_TOKEN
from my_project import big_function
import fastmap

config = fastmap.init(
    cloud_url=CLOUD_URL,
    secret=SECRET_TOKEN)

with open('lots_of_data.csv') as fh:
    long_list = list(csv.reader(fh))

results = list(config.fastmap(big_function, long_list))

```


### Runnable example

See fastmap_example_test.py on the [open source cloud service repo](https://github.com/fastmap-io/fastmap-server). This will estimate pi using the Monte Carlo method.


### When should you use fastmap?

As a rule-of-thumb, fastmap will speed up any call to map that would have otherwise taken more than one second. This is possible because, under the default ADAPTIVE execution policy, fastmap algorithmically distributes work locally and across the cloud.

If you are planning to use the 'CLOUD' exec_policy, which prevents local processing, fastmap is appropriate when your function is either a scraper or is computationally-heavy. This is because transferring data to the cloud for processing always takes a non-zero amount of time. The trade-off depends on your network speeds and distance to your fastmap server cluster.

If in doubt, try running fastmap with a small test dataset. Fastmap attempts to be transparent and will inform you when using it has made your code slower.


### Questions

Fastmap.io is a new project and I would love to hear your feedback. You can contact me directly at scott@fastmap.io.
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