PyMC5 -> PyMC; add pixi.lock to .gitignore

Author: fonnesbeck

.gitignore

@@ -8,3 +8,5 @@ build
 jupyter_execute
 _thumbnails
 examples/gallery.rst
+
+pixi.lock

examples/statistical_rethinking_lectures/16-Gaussian_Processes.ipynb

@@ -4412,7 +4412,7 @@
    "id": "1f81b580-3167-4f69-ab71-bbdaa3fd4cde",
    "metadata": {},
    "source": [
-    "#### PyMC5 Implementation\n",
+    "#### PyMC Implementation\n",
     "\n",
     "Below is an implementation that uses PyMC's Gaussian process module.\n",
     "\n",

examples/statistical_rethinking_lectures/16-Gaussian_Processes.myst.md

@@ -1155,7 +1155,7 @@ D = PRIMATES_DISTANCE_MATRIX / PRIMATES_DISTANCE_MATRIX.max()
 assert D.max() == 1
 ```
 
-#### PyMC5 Implementation
+#### PyMC Implementation
 
 Below is an implementation that uses PyMC's Gaussian process module.
 

examples/statistical_rethinking_lectures/17-Measurement_and_Misclassification.ipynb

@@ -3416,7 +3416,7 @@
     "    Ironically, using `pm.math.logsumexp` for this implementation was\n",
     "    providing numerically results.\n",
     "\n",
-    "    It looks like the PyMC5 implementation uses vanilla `exp`, `sum`,\n",
+    "    It looks like the PyMC implementation uses vanilla `exp`, `sum`,\n",
     "    and `log` operators, which likely isn't numerically stable:.\n",
     "    \"\"\"\n",
     "    c = pm.math.maximum(a, b)\n",

examples/statistical_rethinking_lectures/17-Measurement_and_Misclassification.myst.md

@@ -1006,7 +1006,7 @@ def log_sum_exp(a, b):
     Ironically, using `pm.math.logsumexp` for this implementation was
     providing numerically results.
 
-    It looks like the PyMC5 implementation uses vanilla `exp`, `sum`,
+    It looks like the PyMC implementation uses vanilla `exp`, `sum`,
     and `log` operators, which likely isn't numerically stable:.
     """
     c = pm.math.maximum(a, b)