diff --git a/README.md b/README.md
index 37199f2d..23989bc5 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
-#  *Adaptive*: Parallel Active Learning of Mathematical Functions :brain::1234:
+#  *Adaptive*: Parallel Active Learning of Mathematical Functions
[](https://mybinder.org/v2/gh/python-adaptive/adaptive/main?filepath=example-notebook.ipynb)
@@ -31,16 +31,16 @@ To see Adaptive in action, try the [example notebook on Binder](https://mybinder
-- [:star: Key features](#star-key-features)
-- [:rocket: Example usage](#rocket-example-usage)
- - [:floppy_disk: Exporting Data](#floppy_disk-exporting-data)
-- [:test_tube: Implemented Algorithms](#test_tube-implemented-algorithms)
-- [:package: Installation](#package-installation)
+- [Key features](#key-features)
+- [Example usage](#example-usage)
+ - [Exporting Data](#exporting-data)
+- [Implemented Algorithms](#implemented-algorithms)
+- [Installation](#installation)
- [Faster triangulation (optional)](#faster-triangulation-optional)
-- [:wrench: Development](#wrench-development)
-- [:books: Citing](#books-citing)
-- [:page_facing_up: Draft Paper](#page_facing_up-draft-paper)
-- [:sparkles: Credits](#sparkles-credits)
+- [Development](#development)
+- [Citing](#citing)
+- [Draft Paper](#draft-paper)
+- [Credits](#credits)
@@ -48,7 +48,7 @@ To see Adaptive in action, try the [example notebook on Binder](https://mybinder
-## :star: Key features
+## Key features
- 🎯 **Intelligent Adaptive Sampling**: Adaptive focuses on areas of interest within a function, ensuring better results with fewer evaluations, saving time, and computational resources.
- âš¡ **Parallel Execution**: The library leverages parallel processing for faster function evaluations, making optimal use of available computational resources.
@@ -61,7 +61,7 @@ To see Adaptive in action, try the [example notebook on Binder](https://mybinder
-## :rocket: Example usage
+## Example usage
Adaptively learning a 1D function and live-plotting the process in a Jupyter notebook:
@@ -83,7 +83,7 @@ runner.live_plot()
-### :floppy_disk: Exporting Data
+### Exporting Data
You can export the learned data as a NumPy array:
@@ -99,7 +99,7 @@ df = learner.to_dataframe()
-## :test_tube: Implemented Algorithms
+## Implemented Algorithms
The core concept in `adaptive` is the *learner*.
A *learner* samples a function at the most interesting locations within its parameter space, allowing for optimal sampling of the function.
@@ -134,7 +134,7 @@ In addition to learners, `adaptive` offers primitives for parallel sampling acro
-## :package: Installation
+## Installation
`adaptive` works with Python 3.7 and higher on Linux, Windows, or Mac, and provides optional extensions for working with the Jupyter/IPython Notebook.
@@ -170,7 +170,7 @@ jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install @pyviz/jupyterlab_pyviz
```
-## :wrench: Development
+## Development
Clone the repository and run `pip install -e ".[notebook,test,other]"` to add a link to the cloned repo into your Python path:
@@ -198,7 +198,7 @@ pre-commit install
in the repository.
-## :books: Citing
+## Citing
If you used Adaptive in a scientific work, please cite it as follows.
@@ -212,12 +212,12 @@ If you used Adaptive in a scientific work, please cite it as follows.
}
```
-## :page_facing_up: Draft Paper
+## Draft Paper
If you're interested in the scientific background and principles behind Adaptive, we recommend taking a look at the [draft paper](https://github.com/python-adaptive/paper) that is currently being written.
This paper provides a comprehensive overview of the concepts, algorithms, and applications of the Adaptive library.
-## :sparkles: Credits
+## Credits
We would like to give credits to the following people: