Merge pull request #95 from MetOffice/release_tutorials

Release tutorials

Author: zmaalick

notebooks/CSSP_20CRDS_Tutorials/Introduction.ipynb

@@ -103,7 +103,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The dataset used in these tutorials include monthly, daily, 6 hourly, 3 hourly and hourly frequencies for the historical period of 1851-2010. The details of variables and frequencies can be found in [supplementary material](variableslist.pdf). The data for this course is held online in an Azure Blob Storage Service. To access this we use a SAS (shared access signature). You should have been given the credentials for this service before the course, but if not please ask your instructor. \n",
+    "The dataset include monthly, daily, 3 hourly and hourly frequencies for the historical period of 1851-2010. Though in the tutorials we have only used monthly, daily and hourly frequencies. The details of variables and frequencies can be found in [supplementary material](variableslist.pdf). The data for this course is held online in an Azure Blob Storage Service. To access this we use a SAS (shared access signature). You should have been given the credentials for this service before the course, but if not please ask your instructor. \n",
     "___"
    ]
   },
@@ -121,6 +121,12 @@
     "- Toolbar\n",
     "- Cells\n",
     "\n",
+    "\n",
+    "<figure>\n",
+    "  <img src=\"images/jupyter.png\" alt=\"Trulli\" style=\"width:60%\">\n",
+    "</figure>\n",
+    "\n",
+    "\n",
     "Cells can be specified to store documentation text such as Markdown or programming code such as Python. Text written using the Markdown syntax can be rendered in a cell that is of the cell type Markdown. You can run code (e.g. Python) using the Code as cell type write you code and then either click on the run the selected cell button on top or use the Shift+Enter keyboard combination. When you run the code in a Code cell, the code output displayed below.\n",
     "\n",
     "**Example:** click on the cell below and press `Shift+Enter` or `Ctrl+Enter`, It will print the output below the cell. "
@@ -179,7 +185,7 @@
     "The data used in our tutorials have been converted from the [Met Office's PP file format](https://help.ceda.ac.uk/article/4424-pp-binary-forma) to Zarr. Zarr is a [specification](https://zarr.readthedocs.io/en/stable/spec.html) for how to store gridded data in a key-value interface (such as Amazon S3 object store), where each chunk of data is a separate value with a corresponding key indicating its position in the full dataset. This has advantage over NetCDF format as it allows for a highly parallel data access where many CPUs can simultaneously read different parts of the same dataset. Zarr is also a [Python library](https://zarr.readthedocs.io/en/stable/api.html) implementation of this specification that allows you to read and write data in a Zarr store.\n",
     "\n",
     "##### Iris\n",
-    "In order to explore and analyse our dataset in these tutorials we make use of a Python library called Iris. Iris is a key tool in the [SciTools](https://scitools.org.uk/) project which is a collaborative effort to produce and maintain python-based open-source tooks for Earth scientists. Iris is a useful toolkit as it supports read/write access to a range of data formats, including (CF-)netCDF, GRIB, and PP; fundamental data manipulation operations, such as arithmetic, interpolation, and statistics; and a range of integrated plotting options.  See [latest Iris documentation](https://scitools.org.uk/iris/docs/latest/) for more information.\n",
+    "In order to explore and analyse our dataset in these tutorials we make use of a Python library called Iris. Iris is a key tool in the [SciTools](https://scitools.org.uk/) project which is a collaborative effort to produce and maintain python-based open-source tools for Earth scientists. Iris is a useful toolkit as it supports read/write access to a range of data formats, including (CF-)netCDF, GRIB, and PP; fundamental data manipulation operations, such as arithmetic, interpolation, and statistics; and a range of integrated plotting options.  See [latest Iris documentation](https://scitools.org.uk/iris/docs/latest/) for more information.\n",
     "\n",
     "##### CATNIP\n",
     "At Met Office we have also developed a python library called CATNIP (Climate Analysis Tools: Now In Python). This library is a collection of routines to make frequently used climate data analysis and visualisation tasks in Iris easier and quicker to perform. We will make use of some of CATNIP's routines in these tutorials. See [CATNIP documentation](https://metoffice.github.io/CATNIP/#) for more information.\n",
@@ -197,13 +203,6 @@
     "___"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},