diff --git a/source/gettingstarted.rst b/source/gettingstarted.rst
index ca02a6ee0..9cdd25c74 100644
--- a/source/gettingstarted.rst
+++ b/source/gettingstarted.rst
@@ -6,7 +6,7 @@ Getting Started
 Installation
 ------------
 
-In order to run :math:`\omega radlib`, you need to have a Python interpreter installed on your local computer, as well as a number of Python packages (`Dependencies`_). We recommend to install `Anaconda <https://www.anaconda.com/what-is-anaconda/>`_ as it installs Python, a number of required packages, and other useful tools (e.g. spyder).
+In order to run :math:`\omega radlib`, you need to have a Python interpreter installed on your local computer, as well as a number of Python packages (`Dependencies`_). We recommend installing `Anaconda <https://www.anaconda.com/what-is-anaconda/>`_ as it includes Python, numerous required packages, and other useful tools (e.g. `Spyder <https://www.spyder-ide.org/>`_).
 
 Using Anaconda the installation process is harmonised across platforms. Download and install the latest Anaconda distribution from https://www.anaconda.com/download/ for your specific OS. You might also consider the minimal `Miniconda <https://conda.io/miniconda.html>`_ if you do not want to install a full scientific python stack.
 
@@ -145,8 +145,8 @@ You can check whether the required `Dependencies`_ are available on your compute
 
 >>> import <package_name>
 ImportError: No module named <package_name>
- 
-This will be the response in case the package is not available. 
+
+This will be the response in case the package is not available.
 
 In case the import is successful, you should also check the version number:
 
diff --git a/source/ide.rst b/source/ide.rst
index 4007ceb14..0d7b6e96e 100644
--- a/source/ide.rst
+++ b/source/ide.rst
@@ -4,7 +4,7 @@ Integrated Development Environments for Python
 Development Environments vs. Notebooks
 --------------------------------------
 
-Jupyter notebooks are great for courses and for interactive data exploration. However, they are not suited for developing applications. Once you start to build applications or scripts on top of :math:`\omega radlib`, you should use a suitable Integrated Development Environmemt (IDE). IDEs give you the opportunity for organising different source files, debugging, avraible inspection and a lot more.
+Jupyter notebooks are great for courses and for interactive data exploration. However, they are not suited for developing applications. Once you start to build applications or scripts on top of :math:`\omega radlib`, you should use a suitable Integrated Development Environment (IDE). IDEs give you the opportunity for organising different source files, debugging, available inspection and a lot more.
 
 
 Some suitable IDEs
@@ -12,8 +12,8 @@ Some suitable IDEs
 
 There is a `comprehensive Wiki article on Python IDEs <https://wiki.python.org/moin/IntegratedDevelopmentEnvironments>`_. Maybe a bit too comprehensive... if you already are used to an IDE and happy with it, there is no reason to change it.
 
-However, if you have no idea which IDE to choose, why not start with `Spyder <https://pythonhosted.org/spyder/>`_. It is included in the `Anaconda Python Distribution <https://www.anaconda.com/download/>`_ by default. If you installed Anaconda, just open a shell and enter::
+However, if you have no idea which IDE to choose, why not start with `Spyder <https://www.spyder-ide.org/>`_? It is included in the `Anaconda Python Distribution <https://www.anaconda.com/download/>`_ by default. If you installed Anaconda, just open a shell (Anaconda Prompt on Windows) and enter::
+
+    $ spyder
 
-	$ spyder
-	
 Alternatively, we can warmly recommend `PyCharm <https://www.jetbrains.com/pycharm/>`_ which has a free, yet powerful `Community Edition <https://www.jetbrains.com/pycharm/features/>`_.