Work on second week presentations

ipynb/30_wrapping.ipynb

@@ -15,11 +15,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We consider here wrapping two static languages: C and Fortran.\n",
+    "We mainly consider here wrapping codes in C and Fortran.\n",
     "\n",
-    "We classically wrap already existing code to access them via Python. \n",
+    "We classically wrap already existing codes to access them via Python. \n",
     "\n",
-    "Depending on the language to wrap the tool to use are different. \n"
+    "Depending on the language to wrap, the tools are different. \n"
    ]
   },
   {

ipynb/31_accelerators.ipynb

@@ -785,6 +785,23 @@
     "\n",
     "https://pytorch.org/"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Conclusions\n",
+    "\n",
+    "- Many good accelerators and compilers for Python-Numpy code\n",
+    "\n",
+    "- Very good results for \"standard types\" (arrays of numbers on CPU and GPU)\n",
+    "\n",
+    "- Limitation: high performance with user-defined numerical types"
+   ]
   }
  ],
  "metadata": {
@@ -803,7 +820,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,

ipynb/40_parallel.ipynb

@@ -79,7 +79,9 @@
     "\n",
     "    - *Terrible* 🐌 for CPU bounded *if the Python interpreter is used a lot* !\n",
     "\n",
-    "    - *No problem* for IO bounded !"
+    "    - *No problem* for IO bounded !\n",
+    "    \n",
+    "    - *No problem* for extensions when the interpreter is not used !"
    ]
   },
   {
@@ -113,8 +115,9 @@
     }
    },
    "source": [
-    "## 2 other packages for parallel computing with Python\n",
+    "## Other packages for parallel computing with Python\n",
     "\n",
+    "- IPython\n",
     "- dask\n",
     "- joblib"
    ]
@@ -161,7 +164,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,

pyfiles/dtw_cort_dist/V9_fortran/Makefile

@@ -3,4 +3,4 @@ all:
 	python3 -m numpy.f2py -c "dtw_cort.f90" -m distances_fort
 
 clean:
-	rm -f distances_fort.*.so
+	rm -f distances_fort.*.so *.mod

requirements.txt

@@ -14,7 +14,7 @@ matplotlib
 pandas
 h5py
 #vizu
-# pyviz  # (not available in conda!)
+# pyviz  # (not available in conda-forge)
 # wrapper
 cffi
 # accelerators