Qalculate! VS Stackless Python

• Versatility
  Qalculate! supports a wide range of calculations, including basic arithmetic, algebra, calculus, and complex mathematical functions, making it suitable for various users from students to professionals.
• Extensive Unit Conversions
  It provides extensive support for unit conversions across different measurement systems, which is very useful for scientific and engineering computations.
• Currency Conversion
  The tool includes real-time currency conversion capabilities, allowing users to perform financial calculations with current exchange rates.
• Customizability
  Users can define their own functions and variables, offering a high degree of customization to cater to specific needs.
• User-Friendly Interface
  Qalculate! features an intuitive and user-friendly interface, making it accessible even to those who are not highly technically proficient.
• Cross-Platform
  It is available on multiple operating systems, including Windows, macOS, and Linux, ensuring accessibility for a wide user base.
• Free and Open Source
  Being open-source and free to use, it offers a cost-effective solution compared to commercial software without compromising on features.

Possible disadvantages

• Learning Curve
  Despite its user-friendly interface, the vast array of features and functionalities may present a steep learning curve for new users.
• Documentation
  While there is documentation available, it may not be as comprehensive or as user-friendly as some users might require, making it challenging to fully utilize all features.
• Performance
  For very large or complex calculations, the performance might not be as robust or fast as some specialized or commercial tools.
• GUI Limitations
  The graphical user interface (GUI) might have limitations in presenting very complex calculations or notations as compared to some professional-grade mathematical software.
• Lack of Community Support
  Being a niche tool, it may not have as large of a community for support and resources as more popular commercial alternatives.

• Efficient Concurrency
  Stackless Python provides microthreads, also known as tasklets, which offer efficient concurrency by allowing multiple tasks to run in a single thread without the overhead of traditional threading.
• Simplified Code
  The microthreading model can lead to simplified code when compared to multithreading, as it avoids the complexities associated with locks and synchronization primitives.
• Improved Performance
  Due to the avoidance of context switching between OS-level threads, Stackless Python can achieve improved performance for I/O-bound applications.
• Flexibility
  Stackless Python allows developers to pause and resume functions at almost any point, providing great flexibility for creating advanced flow control mechanisms.
• Low Memory Footprint
  Tasklets in Stackless Python are lightweight, leading to a lower memory footprint compared to traditional threading models.

Possible disadvantages

• Compatibility
  Stackless Python may face compatibility issues with certain Python libraries and extensions that are not designed to work with its microthreading model.
• Limited Community and Support
  Stackless Python has a smaller user base compared to standard Python, which can result in limited community support and fewer resources for learning and troubleshooting.
• Platform Limitations
  Some platforms may not fully support or benefit from Stackless Python's features due to differences in underlying system architectures.
• Debugging Challenges
  Debugging can be more challenging in Stackless Python due to its non-standard execution model, requiring developers to understand its unique flow control mechanisms.
• Maintenance and Updates
  Since Stackless Python diverges from the standard Python implementation, it may lag in adopting new features and updates present in the latest Python releases.

DSP Raspberry Pi 4 Qalculate! Install

Stackless Python on PSP demo

• My thousand dollar iPhone can't do math

  Qalculate is my favourite REPL-like calculator, although it unfortunately lacks an iOS app. It feels similar to using an HP 48-series calculator. Numbat is similar, but more... - Source: Hacker News / 8 months ago

• Show HN: Unsure Calculator – back-of-a-napkin probabilistic calculator

  Https://qalculate.github.io can do this also for as long as I've used it (only a couple years to be fair). I've got it on my phone, my laptop, even my server with the qalc command. Super convenient, supports everything from unit... - Source: Hacker News / over 1 year ago

• Frink

  Interesting project. I use command line Qalculate [1] for this (has a very similar feature set to Frink AFAICT) and Pint [2] for scripting. I feel like unit-aware calculators are hugely underused by physical engineers, it's the same idea... - Source: Hacker News / over 1 year ago

View more

• We Burned Down Players’ Houses in Ultima Online

  Client uses a ton of Python too, mind you they have a very special interpreter. https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / almost 4 years ago

• How does Go "know" when a goroutine hits IO and can switch to another goroutine? Why don't other languages like Javascript/Python do this?

  For the sake of “well, actually” completionism, this is possible in Python with stackless or the gevent library and some hacks, but when Guido and pals backed the standard awful way of doing async in commercial languages (async/await and... Source: almost 4 years ago

• How to Choose the Right Python Concurrency API

  Is stackless still an alternative? (It used to be quite hot 1.5 decade ago) https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / about 4 years ago