Update readme (installation section)

README.md

@@ -35,48 +35,33 @@ to use any of the available tasks and is encouraged to improve the, develop new
 
 ## Package Overview
 
-**`eo-learn`** is divided into several subpackages according to different functionalities and external package dependencies. Therefore it is not necessary for user to install entire package but only the parts that he needs.
+**`eo-learn`** package is structured into several modules according to different functionalities. Some modules contain extensions under the `extra` subfolder. Those modules typically require additional package dependencies which don't get installed by default, since they are usually very specific to the task.
 
-At the moment there are the following subpackages:
+The modules are:
 
-- **`eo-learn-core`** - The main subpackage which implements basic building blocks (`EOPatch`, `EOTask` and `EOWorkflow`) and commonly used functionalities.
-- **`eo-learn-coregistration`** - The subpackage that deals with image co-registration.
-- **`eo-learn-features`** - A collection of utilities for extracting data properties and feature manipulation.
-- **`eo-learn-geometry`** - Geometry subpackage used for geometric transformation and conversion between vector and raster data.
-- **`eo-learn-io`** - Input/output subpackage that deals with obtaining data from Sentinel Hub services or saving and loading data locally.
-- **`eo-learn-mask`** - The subpackage used for masking of data and calculation of cloud masks.
-- **`eo-learn-ml-tools`** - Various tools that can be used before or after the machine learning process.
-- **`eo-learn-visualization`** - Visualization tools for core elements of eo-learn.
+- **`core`** - The main module which implements basic building blocks (`EOPatch`, `EOTask` and `EOWorkflow`) and commonly used functionalities.
+- **`coregistration`** - Tasks which deal with image co-registration.
+- **`features`** - A collection of utilities for extracting data properties and feature manipulation.
+- **`geometry`** - Geometry-related tasks used for transformation and conversion between vector and raster data.
+- **`io`** - Input/output tasks that deal with obtaining data from Sentinel Hub services or saving and loading data locally.
+- **`mask`** - Tasks used for masking of data and calculation of cloud/snow/other masks.
+- **`ml-tools`** - Various tools that can be used before or after the machine learning process.
+- **`visualization`** - Visualization tools for the core elements of eo-learn.
 
 ## Installation
 
-### PyPi distribution
-
-The package requires Python version **>=3.8** . It can be installed with:
+### Requirements
 
-```bash
-pip install eo-learn
-```
-
-In order to avoid heavy package dependencies it is possible to install each subpackage separately:
-
-```bash
-pip install eo-learn-core
-pip install eo-learn-coregistration
-pip install eo-learn-features
-pip install eo-learn-geometry
-pip install eo-learn-io
-pip install eo-learn-mask
-pip install eo-learn-ml-tools
-pip install eo-learn-visualization
-```
+#### Linux / Mac OS
 
 Before installing `eo-learn` on **Linux** it is recommended to install the following system libraries:
 
 ```bash
 sudo apt-get install gcc libgdal-dev graphviz proj-bin libproj-dev libspatialindex-dev
 ```
 
+#### Windows
+
 Before installing `eo-learn` on **Windows** it is recommended to install the following packages from [Unofficial Windows wheels repository](https://www.lfd.uci.edu/~gohlke/pythonlibs/):
 
 ```bash
@@ -86,9 +71,49 @@ shapely
 fiona
 ```
 
-One of dependencies of `eo-learn-mask` subpackage is `lightgbm` package. On Windows it requires 64 bit Python distribution. If having problems during installation please check [LightGBM installation guide](https://lightgbm.readthedocs.io/en/latest/Installation-Guide.html).
+One of the `[MASK_EXTRA]` dependencies is the `lightgbm` package. On Windows it requires 64 bit Python distribution. If having problems during installation please check [LightGBM installation guide](https://lightgbm.readthedocs.io/en/latest/Installation-Guide.html).
+
+### PyPi distribution
+
+The package requires Python version **>=3.8** . If this is your first time installing `eo-learn`, or you aren't sure what kind of installation you require, then you can safely install it with:
+
+```bash
+pip install "eo-learn[ALL]"
+```
+
+To better control your dependencies, you can install just the core dependencies of `eo-learn` with:
 
-Some subpackages contain extension modules under `extra` subfolder. Those modules typically require additional package dependencies which don't get installed by default.
+```bash
+pip install eo-learn
+```
+
+Alternatively, you can decide for yourself which modules you want to be operational by providing the corresponding extras. E.g., if you are only interested in the `io` and `mask` modules, or in the extra dependencies of the `features` module, you can install them with:
+
+```bash
+pip install "eo-learn[IO, MASK]"
+pip install "eo-learn[FEATURES_EXTRA]"
+```
+
+Here is a full list of all the modules' dependencies and their extras:
+
+- `COREGISTRATION`
+- `FEATURES`
+- `FEATURES_EXTRA`
+- `GEOMETRY`
+- `IO`
+- `MASK`
+- `MASK_EXTRA`
+- `MLTOOLS`
+- `VISUALIZATION`
+
+We also provide a few collections of dependencies:
+
+- `ALL` for installing the basic dependencies without extras
+- `FULL` for installing every dependency, including the extras
+- `RAY` for installing ray and its dependencies
+- `ZARR` for installing the zarr functionality for chunked timestamp saving/loading.
+- `DOCS` for developers, dependencies for building docs
+- `DEV` for developers, dependencies for testing and contributing
 
 ### Conda Forge distribution
 
@@ -99,23 +124,9 @@ be installed using `conda-forge` as follows:
 
 ```bash
 conda config --add channels conda-forge
-
 conda install eo-learn
 ```
 
-In order to avoid heavy package dependencies it is possible to install each subpackage separately:
-
-```bash
-conda install eo-learn-core
-conda install eo-learn-coregistration
-conda install eo-learn-features
-conda install eo-learn-geometry
-conda install eo-learn-io
-conda install eo-learn-mask
-conda install eo-learn-ml-tools
-conda install eo-learn-visualization
-```
-
 ### Run with Docker
 
 A docker image with the latest released version of `eo-learn` is available at [Docker Hub](https://hub.docker.com/r/sentinelhub/eolearn). It provides a full installation of `eo-learn` together with a Jupyter notebook environment. You can pull and run it with:
@@ -145,7 +156,9 @@ For more information on the package content, visit [readthedocs](https://eo-lear
 
 ## More Examples
 
-Examples and introductions to the package can be found [here](https://github.com/sentinel-hub/eo-learn/tree/master/examples). A large collection of examples is available at the [`eo-learn-examples`](https://github.com/sentinel-hub/eo-learn-examples) repository. While the examples there are not always up-to-date they can be a great source of ideas.
+Examples and introductions to the package can be found [here](https://github.com/sentinel-hub/eo-learn/tree/master/examples). A larger collection of examples is available at the [`eo-learn-examples`](https://github.com/sentinel-hub/eo-learn-examples) repository. While the examples there are not always up-to-date they can be a great source of ideas.
+
+In the past, `eo-learn` served as a collection of many useful tasks, originating from various contributors or projects. In order to keep `eo-learn` light and easy to maintain, we have decided to move these specific tasks to [`eo-learn-examples/extra-tasks`](https://github.com/sentinel-hub/eo-learn-examples/tree/main/extra-tasks), .
 
 ## Contributions