Think Python VS OpenIDM

• Accessible for Beginners
  Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
• Practical Examples
  The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
• Free Availability
  Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
• Emphasis on Problem Solving
  The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages

• Limited Depth
  While suitable for beginners, the book doesn’t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
• Pacing
  Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
• Lack of Exercises
  There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
• Outdated Information
  Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

• Open-Source Flexibility
  OpenIDM is an open-source identity management solution, providing users with the ability to modify and extend the platform according to their specific needs without vendor lock-in.
• Comprehensive Identity Management
  It offers a broad range of identity management capabilities including identity synchronization, reconciliation, and provisioning, which helps in efficiently managing user identities across different systems.
• Scalability
  OpenIDM is designed to handle large-scale identity management operations, making it suitable for organizations of varying sizes and helping them to manage a growing number of identities effectively.
• Community Support
  Being part of an open-source community, OpenIDM users benefit from shared knowledge, common problem-solving, and a collaborative approach to developing new features and fixing bugs.

Possible disadvantages

• Complexity in Deployment
  Deployment can be complex, requiring expertise and time investment to configure and integrate with existing systems, making it potentially challenging for organizations without dedicated IT resources.
• Limited Enterprise Support
  The community edition might have limited official support compared to the commercial versions, which can be a drawback for enterprises seeking guaranteed assistance and service level agreements.
• Resource Intensive
  OpenIDM requires significant computational resources, which might be a concern for smaller organizations with limited infrastructure capabilities.
• Learning Curve
  There is a steep learning curve associated with mastering the platform, which can hinder quick adoption and initial implementation for teams new to identity management solutions.

Thoughts on Think Python From a Beginner Programmer

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• C949 help and Jay Wengrow's Guide to Data Structures

  This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one... Source: over 3 years ago

• Best place to learn and practice python?

  Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago

• Good places to start learning python?

  This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: over 4 years ago

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Tracking OpenIDM since Dec 2021.