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Showing 61 - 80 results of 380 for search '(( problem using python ) OR ((( programme using python ) OR ( program during python ))))', query time: 0.39s Refine Results
  1. 61
  2. 62

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”
  3. 63

    <b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview by Umran Ali (3853630)

    Published 2025
    “…<p dir="ltr"><b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview<br></p><p dir="ltr">This practice-led, auto-ethnographic case study documents the creation of FluxZayn, a Python-based extension for the Stable Diffusion WebUI Forge platform that enables one-click transparent PNG generation. …”
  4. 64

    Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

    Published 2020
    “…What is more, we expect that these optimizations can benefit similar spatial prediction problems beyond gravity and magnetic data.</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”
  5. 65
  6. 66

    Open Data Package for Article "Exploring Complexity Issues in Junior Developer Code using Static Analysis and FCA" by Arthur-Jozsef Molnar (8884949)

    Published 2024
    “…<p dir="ltr">The present dataset include the SonarQube issues uncovered as part of our exploratory research targeting code complexity issues in junior developer code written in the Python or Java programming languages. The dataset also includes the actual rule configurations and thresholds used for the Python and Java languages during source code analysis.…”
  7. 67

    System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

    Published 2024
    “…</li></ul><h2>Integration with Other Tools</h2><p dir="ltr">The System Hardware ID Generator Script is part of the broader suite of tools offered by the <a href="https://xn--mxac.net/" target="_blank">Alpha Beta Network</a>, dedicated to enhancing security and performance in <a href="https://xn--mxac.net/" target="_blank">Python programming</a>.</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …”
  8. 68

    SolveWords: An Algorithm for Automatically Solving Mathematical Word Problems with Machine Learning by Benjamin Aubin (8100755)

    Published 2019
    “…All datasets are cleaned to only contain problems with correct equations that use numbers from the text.…”
  9. 69

    +5 Million Python & Bash Programming Submissions for 5 Courses & Grades for Computer-Based Exams over 3 academic years. by David Azcona (9085694)

    Published 2020
    “…Students develop code algorithms for problems proposed by Faculty. Many of these courses or modules are delivered through a custom Virtual Learning Environment (VLE) built for the purpose of teaching and learning computer programming. …”
  10. 70

    Image10_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  11. 71

    Image15_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.JPEG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  12. 72

    Image12_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  13. 73

    Image14_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.JPEG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  14. 74

    Image11_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  15. 75

    Image8_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  16. 76

    Image2_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  17. 77

    Image3_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  18. 78

    Image13_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.JPEG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  19. 79

    Image5_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
  20. 80

    Image9_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG by Stelios Tourgaidis (14004246)

    Published 2022
    “…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”