pgAdmin VS python xlrd

• Comprehensive Interface
  pgAdmin offers a wide range of tools and features to manage and develop PostgreSQL databases, making it a comprehensive solution for database administrators.
• Cross-Platform Compatibility
  pgAdmin is available on multiple operating systems, including Windows, macOS, and Linux, which provides flexibility for users working in different environments.
• User-Friendly GUI
  The graphical user interface of pgAdmin is intuitive and easy to use, even for beginners, which enhances productivity and reduces the learning curve.
• Support for Advanced PostgreSQL Features
  pgAdmin supports various advanced PostgreSQL features such as table partitioning, stored procedures, and more, making it suitable for managing complex databases.
• Regular Updates
  pgAdmin receives frequent updates that bring new features, improvements, and bug fixes, ensuring that the tool remains current and functional.

Possible disadvantages

• Resource Intensive
  pgAdmin can be resource-intensive, requiring significant memory and CPU usage, especially when managing large databases, which might affect performance.
• Occasional Stability Issues
  Users have reported occasional crashes and stability issues, particularly when performing complex operations, which can disrupt workflow.
• Limited Customization
  pgAdmin offers limited customization options compared to some other database management tools, restricting users who prefer more tailored interfaces.
• Learning Curve for Advanced Features
  While basic operations are user-friendly, utilizing some of the more advanced features of pgAdmin can have a steep learning curve, making it less accessible to new users.
• Dependency on Web Technologies
  pgAdmin heavily relies on web technologies (HTML, CSS, JavaScript) which may introduce latency and compatibility issues depending on the user's browser and system configuration.

• Simplicity
  xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
• Widely Used
  xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
• Efficient Reading
  It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages

• No Write Support
  xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
• Limited to Older Excel Formats
  With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
• Deprecated Features
  Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

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PostgreSQL: PSQL & pgAdmin 4 (Windows) | Course | 2019

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• I need to read multiple excel files, extract a column from each and compose a new file

  So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: over 4 years ago

• Sending Bulk SMS using Africas Talking, Python and Excel

  There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / over 5 years ago