Replace pip install mcpi with %pip which always installs in the right environment

03_classification.ipynb

@@ -2374,7 +2374,14 @@
    "source": [
     "# if running this notebook on Colab or Kaggle, we just pip install urlextract\n",
     "if IS_COLAB or IS_KAGGLE:\n",
-    "    !pip install -q -U urlextract"
+    "    %pip install -q -U urlextract"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note:** inside a Jupyter notebook, always use `%pip` instead of `!pip`, as `!pip` may install the library inside the wrong environment, while `%pip` makes sure it's installed inside the currently running environment."
    ]
   },
   {

13_loading_and_preprocessing_data.ipynb

@@ -52,7 +52,7 @@
     "IS_KAGGLE = \"kaggle_secrets\" in sys.modules\n",
     "\n",
     "if IS_COLAB or IS_KAGGLE:\n",
-    "    !pip install -q -U tfx==0.21.2\n",
+    "    %pip install -q -U tfx==0.21.2\n",
     "    print(\"You can safely ignore the package incompatibility errors.\")\n",
     "\n",
     "# Scikit-Learn ≥0.20 is required\n",

16_nlp_with_rnns_and_attention.ipynb

@@ -57,8 +57,8 @@
     "IS_KAGGLE = \"kaggle_secrets\" in sys.modules\n",
     "\n",
     "if IS_COLAB:\n",
-    "    !pip install -q -U tensorflow-addons\n",
-    "    !pip install -q -U transformers\n",
+    "    %pip install -q -U tensorflow-addons\n",
+    "    %pip install -q -U transformers\n",
     "\n",
     "# Scikit-Learn ≥0.20 is required\n",
     "import sklearn\n",

18_reinforcement_learning.ipynb

@@ -52,8 +52,8 @@
     "\n",
     "if IS_COLAB or IS_KAGGLE:\n",
     "    !apt update && apt install -y libpq-dev libsdl2-dev swig xorg-dev xvfb\n",
-    "    !pip install -q -U tf-agents pyvirtualdisplay gym[box2d]\n",
-    "    !pip install -q -U atari_py==0.2.5\n",
+    "    %pip install -q -U tf-agents pyvirtualdisplay gym[box2d]\n",
+    "    %pip install -q -U atari_py==0.2.5\n",
     "\n",
     "# Scikit-Learn ≥0.20 is required\n",
     "import sklearn\n",
@@ -220,7 +220,7 @@
     "Alternatively, you can install the [pyvirtualdisplay](https://github.com/ponty/pyvirtualdisplay) Python library which wraps Xvfb:\n",
     "\n",
     "```bash\n",
-    "python3 -m pip install -U pyvirtualdisplay\n",
+    "%pip install -U pyvirtualdisplay\n",
     "```\n",
     "\n",
     "And run the following code:"
@@ -2812,7 +2812,7 @@
    "metadata": {},
    "source": [
     "## 8.\n",
-    "_Exercise: Use policy gradients to solve OpenAI Gym's LunarLander-v2 environment. You will need to install the Box2D dependencies (`python3 -m pip install -U gym[box2d]`)._"
+    "_Exercise: Use policy gradients to solve OpenAI Gym's LunarLander-v2 environment. You will need to install the Box2D dependencies (`%pip install -U gym[box2d]`)._"
    ]
   },
   {

19_training_and_deploying_at_scale.ipynb

@@ -54,7 +54,7 @@
     "    !echo \"deb http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal\" > /etc/apt/sources.list.d/tensorflow-serving.list\n",
     "    !curl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | apt-key add -\n",
     "    !apt update && apt-get install -y tensorflow-model-server\n",
-    "    !pip install -q -U tensorflow-serving-api\n",
+    "    %pip install -q -U tensorflow-serving-api\n",
     "\n",
     "# Scikit-Learn ≥0.20 is required\n",
     "import sklearn\n",