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Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalization helps in reducing data redundancy by breaking down large tables into smaller ones.
It ensures data integrity by minimizing data anomalies such as update, insert, and delete anomalies.
Normalization follows a set of rules (normal forms) like 1NF, 2NF, 3NF, etc., to organize data efficiently.
Example: ...
I applied via WorkIndia and was interviewed in Feb 2024. There was 1 interview round.
I will explain the process of troubleshooting a technical issue.
Identify the issue reported by the customer
Ask relevant questions to gather more information
Research possible solutions
Implement the solution and test it
Follow up with the customer to ensure the issue is resolved
I want to join this company because of its reputation for innovation and commitment to employee growth.
Reputation for innovation in the industry
Commitment to employee growth and development
Exciting projects and opportunities for career advancement
Pandas is used in project for data manipulation and analysis in Python.
Pandas is used for data cleaning, transformation, and analysis.
It provides data structures like DataFrame and Series for handling data.
Pandas can be used for tasks like filtering, grouping, and merging data.
Example: Loading a CSV file into a DataFrame and performing analysis on the data.
Flask is a lightweight web application framework for Python.
Create a virtual environment for your project
Install Flask using pip
Create a Flask app by defining routes and views
Run the Flask app using the command 'flask run'
Use Flask extensions for additional functionality
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