v0.3.4 release (#430)

* bump version to 3.4

* Update README.md

* delete requirements

docs/README.md

@@ -15,43 +15,28 @@ for medical imaging, algorithmic prototyping, and testing. Many tools and method
 be found here, but this project has and will continue to diverge from the original [k-Wave](http://www.k-wave.org/) APIs
 to leverage pythonic practices.
 
-## Installation
-
-To install the most recent build of k-Wave-python from PyPI, run:
-
-```bash
-pip install k-wave-python
-```
-
-After installing the Python package, the required binaries will be downloaded and installed the first time you run a
-simulation.
-
 ## Getting started
 
 ![](_static/example_bmode.png)
 
-After installation, run the B-mode reconstruction example in the `examples` directory of the repository:
-
-```bash
-git clone https://github.com/waltsims/k-wave-python
-cd k-wave-python
-git checkout v0.3.3
-pip install '.[example]' 
-python3 examples/us_bmode_linear_transducer/us_bmode_linear_transducer.py
-```
+A large [collection of examples](../examples/) exists to get started with k-wave-python. All examples can be run in Google Colab notebooks with a few clicks. One can begin with e.g. the [B-mode reconstruction example notebook](https://colab.research.google.com/github/waltsims/k-wave-python/blob/master/examples/us_bmode_linear_transducer/us_bmode_linear_transducer.ipynb).
 
 This example file steps through the process of:
  1. Generating a simulation medium
  2. Configuring a transducer
  3. Running the simulation
  4. Reconstructing the simulation
 
-### Requirements
-This example expects an NVIDIA GPU by default to simulate with k-Wave.
+## Installation
+
+To install the most recent build of k-Wave-python from PyPI, run:
 
-To test the reconstruction on a machine with a GPU,
-set `RUN_SIMULATION` [on line 29 of `us_bmode_linear_transducer.py`](https://github.com/waltsims/k-wave-python/blob/6d2ee982bece84fc6980da99b23600f5675d2fc5/examples/us_bmode_linear_transducer/us_bmode_linear_transducer.py#L29)
-to `True`, and the example will run without the pre-computed data.
+```bash
+pip install k-wave-python
+```
+
+After installing the Python package, the required binaries will be downloaded and installed the first time you run a
+simulation.
 
 ## Development
 

kwave/__init__.py

@@ -9,7 +9,7 @@
 
 # Test installation with:
 # python3 -m pip install -i https://test.pypi.org/simple/ --extra-index-url=https://pypi.org/simple/ k-Wave-python==0.3.0
-VERSION = "0.3.3"
+VERSION = "0.3.4"
 
 # Constants and Configurations
 URL_BASE = "https://github.com/waltsims/"