Angular Material VS python xlrd

• Consistent Design
  Angular Material provides a set of reusable, well-tested, and accessible UI components based on the Material Design specification, ensuring a consistent look and feel across your application.
• Pre-built Components
  Offers a wide range of pre-built components including forms, navigation, buttons, and data tables that significantly speed up the development process.
• Responsiveness
  Components are designed to work smoothly on various screen sizes and resolutions, making it easier to create responsive applications.
• Integration with Angular
  Tightly integrated with Angular, making it easier to implement and maintain. It also leverages Angular’s features like reactive forms and change detection.
• Theming and Customization
  Supports extensive theming and customization options, allowing developers to tailor the look and feel of their applications to match brand requirements.
• Comprehensive Documentation
  Comes with detailed and comprehensive documentation, providing examples and guides to help developers get started quickly.

Possible disadvantages

• Steep Learning Curve
  Due to the extensive feature set and the intricacies of Material Design, there is a learning curve involved which might be difficult for beginners.
• Large Bundle Size
  Integrating Angular Material can add to the bundle size of your application, which may affect the loading time and performance, especially for smaller projects.
• Limited Customizability
  While it offers theming, there are limitations on how much components can be customized compared to creating bespoke solutions.
• Performance Overhead
  Some components come with additional performance overhead due to their complexity and the use of multiple dependencies.
• Dependency Management
  You need to manage and maintain additional dependencies that come with Angular Material, which can complicate the build process and dependency management.
• Opinionated Design
  Being based on Google’s Material Design, it might impose design choices that might not align with every project's design requirements.

• 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.

Angular Material Data Table Tutorial

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• What is it about Internet, mobile, and web applications that makes everything seem sleeker every year?

  Very large companies (i.e. Google, Facebook, etc.) regularly publish their own UI frameworks and designs. For example, Facebook has a Material UI for React. Google has AngularJS material UI. These are all open-source and free to use. Source: about 5 years ago

• 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