fixed formatting in session sharing notebook

examples/session_sharing.ipynb

@@ -121,6 +121,7 @@
     "\n",
     "A new session would be created if before running the above cell you do anything of the following:\n",
     "\n",
+    "\n",
     "- restart the Jupyter notebook's kernel,\n",
     "- change OAuth credentials in the `config` object that is used to initialize the client,\n",
     "- wait until the current session expires (about 1 hour),\n",
@@ -271,6 +272,7 @@
     "\n",
     "Different types of parallelization provide different support for memory sharing between processes. However, the following would be the most general description of the session sharing procedure:\n",
     "\n",
+    "\n",
     "1. Create a single authentication session.\n",
     "2. Start a separate thread that is continuously running the following 2-step procedure:\n",
     "   * extract a session token and send it to a shared memory space,\n",
@@ -343,6 +345,7 @@
     "\n",
     "In this chapter we'll provide implementations for `3` commonly used parallelization frameworks in Python:\n",
     "\n",
+    "\n",
     "- [Standard Python multiprocessing](https://docs.python.org/3/library/multiprocessing.html),\n",
     "- [Ray](https://www.ray.io/),\n",
     "- [Dask](https://dask.org/).\n",
@@ -351,7 +354,7 @@
     "\n",
     "### Standard Python multiprocessing\n",
     "\n",
-    "For parallelization with the framework from the Standard Python Library (modules `multiprocessing` or `concurrent.futures`) we already provide utilities in `sentinelhub-py` that implement the process defined in the previous chapter. The authentication token is passed to other processes using [`multiprocessing.shared_memory`](https://docs.python.org/3/library/multiprocessing.shared_memory.html) functionality.\n"
+    "For parallelization with the framework from the Standard Python Library (modules `multiprocessing` or `concurrent.futures`) we already provide utilities in `sentinelhub-py` that implement the process defined in the previous chapter. The authentication token is passed to other processes using [<code>multiprocessing.shared_memory</code>](https://docs.python.org/3/library/multiprocessing.shared_memory.html) functionality.\n"
    ]
   },
   {
@@ -484,7 +487,7 @@
    "id": "animal-raise",
    "metadata": {},
    "source": [
-    "An implementation of this process for a use case of downloading data from [Sentinel Hub Process API](https://docs.sentinel-hub.com/api/latest/api/process/) can be seen in [`eo-grow`](https://eo-grow.readthedocs.io/en/latest/) framework, which in combination with [`eo-learn`](https://eo-learn.readthedocs.io/en/latest/) heavily relies on Ray for large-scale processing.\n",
+    "An implementation of this process for a use case of downloading data from [Sentinel Hub Process API](https://docs.sentinel-hub.com/api/latest/api/process/) can be seen in [<code>eo-grow</code>](https://eo-grow.readthedocs.io/en/latest/) framework, which in combination with [<code>eo-learn</code>](https://eo-learn.readthedocs.io/en/latest/) heavily relies on Ray for large-scale processing.\n",
     "\n",
     "### Dask\n",
     "\n",