Add solutions to aggregate chanllenges

Author: AfiMaameDufie

docs/50-aggregation/1-aggregation-intro.mdx

@@ -67,6 +67,14 @@ db.books.aggregate([
 ]);
 ```
 
+``` python
+db.books.aggregate([
+  { "$match": { "available": { "$gt": 5 } } },
+  { "$project": { "title": 1, "available": 1, "_id": 0 } },
+  { "$sort": { "available": -1 } },
+])
+```
+
 ---
 
 Next, let's dive into individual stages, starting with `$match` and `$project`. 🚀

docs/50-aggregation/2-match-project.mdx

@@ -140,6 +140,18 @@ db.books.aggregate([
         ```
       </div>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <div>
+          ```python
+          books_two_copies = books.aggregate([
+            { "$match": { "available": { "$gt": 2 } } }
+          ])
+
+          for book in books_two_copies:
+              print(book)
+          ```
+        </div>
+    </TabItem> 
   </Tabs>
 </details>
 
@@ -191,5 +203,18 @@ db.books.aggregate([
         ```
       </div>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <div>
+          ```python
+          books_two_copies = books.aggregate([
+            { "$match": { "available": { "$gt": 2 } } },
+            { "$project": { "title": 1, "year": 1, "_id": 0 } }
+          ])
+
+          for book in books_two_copies:
+              print(f"Title: {book['title']} - Publication Year: {book['year']}")
+          ```
+        </div>
+    </TabItem>
   </Tabs>
 </details>

docs/50-aggregation/3-sort-limit.mdx

@@ -188,6 +188,54 @@ Learn [when to use $addFields over $project](https://www.practical-mongodb-aggre
         </TabItem>
       </Tabs>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <Tabs groupId="aggregations-python" defaultValue="addFields">
+        <TabItem value="project" label="Using $project">
+          <div>
+          ```python
+          most_authors = books.aggregate([
+            { "$match": { "year": { "$gt": 2000 } } },
+            { "$match": { "authors": { "$exists": True } } },
+            {
+              "$project": {
+                "title": 1,
+                "year": 1,
+                "authors": 1,
+                "numAuthors": { "$size": "$authors" }
+              }
+            },
+            { "$sort": { "numAuthors": -1 } },
+            { "$limit": 1 }
+          ])
+
+          for book in most_authors:
+              print(book)
+          ```
+          </div>
+        </TabItem>
+
+        <TabItem value="addFields" label="Using $addFields">
+          <div>
+          ```python
+          most_authors = books.aggregate([
+            { "$match": { "year": { "$gt": 2000 } } },
+            { "$match": { "authors": { "$exists": True } } },
+            {
+              "$addFields": {
+                "numAuthors": { "$size": "$authors" }
+              }
+            },
+            { "$sort": { "numAuthors": -1 } },
+            { "$limit": 1 }
+          ])
+
+          for book in most_authors:
+              print(book)
+          ```
+          </div>
+        </TabItem>
+      </Tabs>
+    </TabItem>
   </Tabs>
   </div>
 </details>

docs/50-aggregation/4-group.mdx

@@ -174,6 +174,23 @@ GROUP BY year;
         ```
       </div>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <div>
+        ```python
+        books_with_avg_rating = reviews.aggregate([
+          {
+            "$group": {
+              "_id": "$bookId",
+              "avgRating": { "$avg": "$rating" }
+            }
+          }
+        ])
+
+        for book in books_with_avg_rating:
+            print(book)
+        ```
+      </div>
+    </TabItem>
 </Tabs>
 </details>
 
@@ -266,6 +283,45 @@ GROUP BY year;
         </TabItem>
       </Tabs>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <Tabs groupId="aggregations-python" defaultValue="$group">
+        <TabItem value="$group" label="$group with $sum + $sort">
+          <div>
+            ```python
+            reviewers_count = reviews.aggregate([
+              {
+                "$group": {
+                  "_id": "$name",
+                  "totalReviews": { "$sum": 1 }
+                }
+              },
+              {
+                "$sort": { "totalReviews": -1 }
+              }
+            ])
+
+            for reviewer in reviewers_count:
+                print(reviewer)
+            ```
+          </div>
+        </TabItem>
+
+        <TabItem value="$sortByCount" label="$sortByCount">
+          <div>
+            ```python
+            reviewers_count = reviews.aggregate([
+              {
+                "$sortByCount": "$name"
+              }
+            ])
+
+            for reviewer in reviewers_count:
+                print(reviewer)
+            ```
+          </div>
+        </TabItem>
+      </Tabs>
+    </TabItem>
   </Tabs>
   </div>
 </details>

docs/50-aggregation/5-lookup.mdx

@@ -148,5 +148,22 @@ The $lookup operation creates an array within each book document. Using $unwind
     ```
      </div>
   </TabItem>
+    <TabItem value="python" label="Python">
+      <div>
+        ```python
+         books_with_reviews = books.aggregate([
+          {
+            "$lookup":
+            {
+              "from": "reviews",
+              "localField": "_id",
+              "foreignField": "_id.bookId",
+              "as": "reviews"
+            }
+          }
+        ])
+        ```
+      </div>
+    </TabItem>
   </Tabs>
 </details>

docs/50-aggregation/7-merge.mdx

@@ -190,6 +190,42 @@ ON DUPLICATE KEY UPDATE totalBooks = VALUES(totalBooks);
         </TabItem>
       </Tabs>
     </TabItem>
+    <TabItem value="python" label="Python">
+      <Tabs groupId="merge-python" defaultValue="books">
+        <TabItem value="books" label="through books collection">
+        ```python
+        author_stats = books.aggregate([
+          { "unwind": "$authors" },
+          { "$group": { "_id": "$authors.name", "totalBooks": { "$sum": 1 } } },
+          {
+            "$merge": {
+              "into": "author_stats",
+              "on": "_id",
+              "whenMatched": "merge",
+              "whenNotMatched": "insert"
+            }
+          }
+        ])
+        ```
+        </TabItem>
+        <TabItem value="authors" label="through authors collection">
+        ```python
+        authors_collection = db.authors
+        author_stats = authors_collection.aggregate([
+          { "$unwind": "$books" },
+          { "$group": { "_id": "$name", "totalBooks": { "$sum": 1 } } },
+          { "$merge": {
+              "into": "author_stats",
+              "on": "_id",
+              "whenMatched": "merge",
+              "whenNotMatched": "insert"
+            }
+          }
+        ])
+        ```
+        </TabItem>
+    </Tabs>
+  </TabItem>
   </Tabs>
   </div>
 </details>