Vishweswar53 commited on
Commit
a01f0a1
1 Parent(s): 6afd275

added initial project

Browse files
.vscode/extensions.json ADDED
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+ {
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+ "recommendations": [
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+ "mongodb.mongodb-vscode",
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+ "ms-python.python",
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+ "ms-toolsai.jupyter",
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+ "ms-toolsai.jupyter-keymap",
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+ "ms-toolsai.jupyter-renderers",
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+ "formulahendry.code-runner"
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+ ]
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+ }
.vscode/settings.json ADDED
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+ {
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+ "workbench.colorTheme": "Default Dark+",
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+ "workbench.preferredDarkColorTheme": "Default Dark+",
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+ "task.allowAutomaticTasks": "on",
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+ "workbench.editorAssociations": {
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+ "*.md": "vscode.markdown.preview.editor"
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+ }
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+ }
.vscode/tasks.json ADDED
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+ {
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+ "version": "2.0.0",
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+ "tasks": [
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+ {
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+ "label": "Installing extensions and dependencies...",
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+ "type": "shell",
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+ "command": "code-server --install-extension mongodb.mongodb-vscode --install-extension ms-python.python --install-extension formulahendry.code-runner && pip install -r requirements.txt",
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+ "presentation": {
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+ "reveal": "always",
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+ "panel": "new"
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+ },
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+ "runOptions": { "runOn": "folderOpen" }
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+ }
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+ ]
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+ }
README.md CHANGED
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- # neurolab-mongodb-python
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # neurolab-mongo-python
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+
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+ ![image](https://user-images.githubusercontent.com/57321948/196933065-4b16c235-f3b9-4391-9cfe-4affcec87c35.png)
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+
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+ ### Step 1 - Install the requirements
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+
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+
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+ ### Step 2 - Run main.py file
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+
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+ ```bash
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+ python main.py
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+ ```
main.py ADDED
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+ import pymongo
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+
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+ # Provide the mongodb localhost url to connect python to mongodb.
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+ client = pymongo.MongoClient("mongodb://localhost:27020/neurolabDB")
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+
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+ # Database Name
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+ dataBase = client["neurolabDB"]
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+
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+ # Collection Name
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+ collection = dataBase['Products']
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+
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+ # Sample data
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+ d = {'companyName': 'iNeuron',
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+ 'product': 'Affordable AI',
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+ 'courseOffered': 'Machine Learning with Deployment'}
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+
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+ # Insert above records in the collection
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+ rec = collection.insert_one(d)
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+
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+ # Lets Verify all the record at once present in the record with all the fields
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+ all_record = collection.find()
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+
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+ # Printing all records present in the collection
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+ for idx, record in enumerate(all_record):
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+ print(f"{idx}: {record}")
requirements.txt ADDED
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+ pymongo