added initial project

.vscode/extensions.json

@@ -0,0 +1,10 @@
+{
+  "recommendations": [
+    "mongodb.mongodb-vscode",
+    "ms-python.python",
+    "ms-toolsai.jupyter",
+    "ms-toolsai.jupyter-keymap",
+    "ms-toolsai.jupyter-renderers",
+    "formulahendry.code-runner"
+  ]
+}

.vscode/settings.json

@@ -0,0 +1,8 @@
+{
+  "workbench.colorTheme": "Default Dark+",
+  "workbench.preferredDarkColorTheme": "Default Dark+",
+  "task.allowAutomaticTasks": "on",
+  "workbench.editorAssociations": {
+    "*.md": "vscode.markdown.preview.editor"
+  }
+}

.vscode/tasks.json

@@ -0,0 +1,15 @@
+{
+  "version": "2.0.0",
+  "tasks": [
+    {
+      "label": "Installing extensions and dependencies...",
+      "type": "shell",
+      "command": "code-server --install-extension mongodb.mongodb-vscode --install-extension ms-python.python --install-extension formulahendry.code-runner && pip install -r requirements.txt",
+      "presentation": {
+        "reveal": "always",
+        "panel": "new"
+      },
+      "runOptions": { "runOn": "folderOpen" }
+    }
+  ]
+}

README.md

@@ -1 +1,15 @@
-# neurolab-mongodb-python
+# neurolab-mongo-python
+
+![image](https://user-images.githubusercontent.com/57321948/196933065-4b16c235-f3b9-4391-9cfe-4affcec87c35.png)
+
+### Step 1 - Install the requirements
+
+```bash
+pip install -r requirements.txt
+```
+
+### Step 2 - Run main.py file
+
+```bash
+python main.py
+```

main.py

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+import pymongo
+
+# Provide the mongodb localhost url to connect python to mongodb.
+client = pymongo.MongoClient("mongodb://localhost:27020/neurolabDB")
+
+# Database Name
+dataBase = client["neurolabDB"]
+
+# Collection  Name
+collection = dataBase['Products']
+
+# Sample data
+d = {'companyName': 'iNeuron',
+     'product': 'Affordable AI',
+     'courseOffered': 'Machine Learning with Deployment'}
+
+# Insert above records in the collection
+rec = collection.insert_one(d)
+
+# Lets Verify all the record at once present in the record with all the fields
+all_record = collection.find()
+
+# Printing all records present in the collection
+for idx, record in enumerate(all_record):
+     print(f"{idx}: {record}")

requirements.txt

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+pymongo