Add some Keras and Pandas snippets

Author: futureprogrammer360

README.md

@@ -51,15 +51,23 @@ Import snippets start with `i` followed by the package's import alias.
 
 ### Pandas
 
-| Trigger    | Description    |
-|------------|----------------|
-| `columns`  | `df.columns`   |
-| `describe` | `df.describe`  |
-| `df`       | `pd.DataFrame` |
-| `head`     | `df.head`      |
-| `read_csv` | `pd.read_csv`  |
-| `ser`      | `pd.Series`    |
-| `tail`     | `df.tail`      |
+| Trigger       | Description      |
+|---------------|----------------  |
+| `apply`       | `df.apply`       |
+| `columns`     | `df.columns`     |
+| `describe`    | `df.describe`    |
+| `df`          | `pd.DataFrame`   |
+| `dropna`      | `df.dropna`      |
+| `fillna`      | `df.fillna`      |
+| `groupby`     | `df.groupby`     |
+| `head`        | `df.head`        |
+| `read_csv`    | `pd.read_csv`    |
+| `rename`      | `df.rename`      |
+| `sample`      | `df.sample`      |
+| `ser`         | `pd.Series`      |
+| `tail`        | `df.tail`        |
+| `to_csv`      | `df.to_csv`      |
+| `to_datetime` | `pd.to_datetime` |
 
 ### Matplotlib
 
@@ -91,9 +99,11 @@ Import snippets start with `i` followed by the package's import alias.
 | Trigger      | Description               |
 |--------------|---------------------------|
 | `compile`    | `model.compile`           |
+| `evaluate`   | `model.evaluate`          |
 | `fit`        | `model.fit`               |
 | `layer`      | `keras.layers.layer`      |
 | `load_model` | `keras.models.load_model` |
+| `predict`    | `model.predict`           |
 | `save`       | `model.save`              |
 | `sequential` | `keras.Sequential`        |
 

messages.json

@@ -1,4 +1,5 @@
 {
     "install": "messages/install.txt",
-    "1.0.1": "messages/1.0.1.txt"
+    "1.0.1": "messages/1.0.1.txt",
+    "1.0.2": "messages/1.0.2.txt"
 }

messages/1.0.2.txt

@@ -0,0 +1,5 @@
+v1.0.2
+
+New snippets are added for Keras and Pandas.
+To see the snippets, run the `Python Data Science Snippets: Open Readme` command in the command palette.
+Enjoy!

snippets/keras/evaluate.sublime-snippet

@@ -0,0 +1,14 @@
+<snippet>
+    <content><![CDATA[
+${1:model}.evaluate(
+    x=${2:x_test},
+    y=${3:y_test},
+    batch_size=${4:32},
+    epochs=${5:10},
+    validation_data=${6:None}
+)
+]]></content>
+    <tabTrigger>evaluate</tabTrigger>
+    <scope>source.python</scope>
+    <description>model.evaluate</description>
+</snippet>

snippets/keras/predict.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:model}.predict(${2:x})
+]]></content>
+    <tabTrigger>predict</tabTrigger>
+    <scope>source.python</scope>
+    <description>model.predict</description>
+</snippet>

snippets/pandas/apply.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:df}.apply(${2:lambda ${3:x}: ${4:x}})
+]]></content>
+    <tabTrigger>apply</tabTrigger>
+    <scope>source.python</scope>
+    <description>df.apply</description>
+</snippet>

snippets/pandas/dropna.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:df}.dropna($0)
+]]></content>
+    <tabTrigger>dropna</tabTrigger>
+    <scope>source.python</scope>
+    <description>df.dropna</description>
+</snippet>

snippets/pandas/fillna.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:df}.fillna($0)
+]]></content>
+    <tabTrigger>fillna</tabTrigger>
+    <scope>source.python</scope>
+    <description>df.fillna</description>
+</snippet>

snippets/pandas/groupby.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:df}.groupby($0)
+]]></content>
+    <tabTrigger>groupby</tabTrigger>
+    <scope>source.python</scope>
+    <description>df.groupby</description>
+</snippet>

snippets/pandas/rename.sublime-snippet

@@ -0,0 +1,8 @@
+<snippet>
+    <content><![CDATA[
+${1:df}.rename($0)
+]]></content>
+    <tabTrigger>rename</tabTrigger>
+    <scope>source.python</scope>
+    <description>df.rename</description>
+</snippet>