Update tutorials

tutorials/cta.ipynb

@@ -4,6 +4,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "# CTA with Gammapy\n",
+    "\n",
+    "**TODO: rewrite this notebook!**\n",
+    "\n",
+    "This is a very old notebook, most of the content below is outdated and should be deleted.\n",
+    "\n",
+    "What should remain is a 5-10 min introduction for CTA users that have never used Gammapy,\n",
+    "similar to `hess.ipynb` for H.E.S.S. or `fermi_lat.ipynb` for Fermi-LAT.\n",
+    "\n",
+    "- Explain that prod 3 IRFs are available as FITS and what they contain\n",
+    "- Explain about first data challenge\n",
+    "- Mention Gammapy capabilities to simulate something for CTA or to do first analyses with CTA.\n",
+    "- Give some simple exercises\n",
+    "- Link to other tutorials and documentation that might be of interest\n",
+    "\n",
     "![CTA first data challenge logo](images/cta-1dc.png)\n",
     "\n",
     "# CTA first data challenge (1DC) with Gammapy"
@@ -1185,9 +1200,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

tutorials/cta_data_analysis.ipynb

@@ -565,17 +565,8 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.7.0"
-  },
-  "pycharm": {
-   "stem_cell": {
-    "cell_type": "raw",
-    "source": [],
-    "metadata": {
-     "collapsed": false
-    }
-   }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

tutorials/maps.ipynb

@@ -1031,17 +1031,8 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.6.0"
-  },
-  "pycharm": {
-   "stem_cell": {
-    "cell_type": "raw",
-    "source": [],
-    "metadata": {
-     "collapsed": false
-    }
-   }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}