Merge pull request #4 from leriomaggio/euroscipy2019

Euroscipy2019

00_tutorial_intro.ipynb

@@ -28,7 +28,7 @@
    "source": [
     "# Outline\n",
     "\n",
-    "**11:00 - 11:30** (_30 mins_) Numpy Basics\n",
+    "**11:00 - 11:45** (_45 mins_) Numpy Basics\n",
     "\n",
     "- Introduction to NumPy Arrays\n",
     "    - numpy internals schematics\n",
@@ -36,25 +36,25 @@
     "- Numerical Data Types\n",
     "    - Record Array\n",
     "    \n",
-    "    \n",
-    "**11:30 - 12:00** (_30 mins_) Indexing and Slicing\n",
+    "**11:50 - 12:30** (_40 mins_) Indexing and Slicing\n",
     "    \n",
     "- Indexing numpy arrays\n",
     "    - fancy indexing\n",
-    "    - memory management\n",
-    "    - broadcasting\n",
-    "    \n",
+    "    - array masking\n",
     "- Slicing & Stacking\n",
-    "- Vectorization\n",
+    "- Vectorization & Broadcasting\n",
     "\n",
-    "**12:00 - 12:20** (_20 mins_) Bits of Data Science with NumPy\n",
+    "**Follow up** \"Advanced NumPy: Bits of Data Science with NumPy\n",
     "\n",
     "- Serialisation & I/O\n",
     "    - `.mat` files\n",
     "- Array and Matrix\n",
     "    - Matlab compatibility\n",
     "- Memmap \n",
-    "- Beyond Numpy"
+    "- Beyond Numpy\n",
+    "- ...\n",
+    "\n",
+    "_Tuesday 11:00 Oteiza_ (!!CHECK ONLINE PROGRAM!!)"
    ]
   },
   {

README.md

@@ -16,7 +16,7 @@ to become confident with `numpy` and `ndarray` in (a matter of) `90 mins`.
 
 # Outline
 
-**11:00 - 11:30** (_30 mins_) Numpy Basics
+**Part I** Numpy Basics
 
 - Introduction to NumPy Arrays
     - numpy internals schematics
@@ -25,24 +25,23 @@ to become confident with `numpy` and `ndarray` in (a matter of) `90 mins`.
     - Record Array
     
     
-**11:30 - 12:00** (_30 mins_) Indexing and Slicing
+**Part II** Indexing and Slicing
     
 - Indexing numpy arrays
     - fancy indexing
-    - memory management
-    - broadcasting
-    
+    - array masking
 - Slicing & Stacking
-- Vectorization
+- Vectorization & Broadcasting
 
-**12:00 - 12:20** (_20 mins_) Bits of Data Science with NumPy
+**Part III** "Advanced NumPy"
 
 - Serialisation & I/O
     - `.mat` files
 - Array and Matrix
     - Matlab compatibility
 - Memmap 
-- Beyond Numpy
+- Bits of Data Science with NumPy
+- NumPy beyond `numpy`
 
 ### Python version