Suchergebnisse - (( (java OR jan) AND python source code ) OR ( (java OR jan) AND python resource code ))~

  1. 1

    Jupyter Cookbook: Over 75 Recipes to Perform Interactive Computing Across Python, R, Scala, Spark, JavaScript, and More von Toomey, Dan

    ISBN: 1788839447, 9781788839440
    Veröffentlicht: Birmingham Packt Publishing, Limited 2018
    “… Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is …”
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    E-Book
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    Automated Validation of COBOL to Java Transformation von Kumar, Atul, Saha, Diptikalyan, Yasue, Toshikai, Ono, Kohichi, Krishnan, Saravanan, Hans, Sandeep, Satoh, Fumiko, Mitchell, Gerald, Kumar, Sachin

    ISSN: 2643-1572
    Veröffentlicht: ACM 27.10.2024
    “… Recent advances in Large Language Model (LLM) based Generative AI techniques have made it feasible to translate enterprise-level code from legacy languages such as COBOL to modern languages such as Java or Python …”
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  3. 3

    Lingual-Fusion Adapter-Based Transfer Learning for Low-Resource Code Vulnerability Detection von Long, Xinyue, Guo, Shikai, Chai, Yu, Li, Hui, Jan, Sumaira Ameer, Ma, Qian, Ning, Qiao

    ISSN: 0098-3063, 1558-4127
    Veröffentlicht: New York IEEE 01.02.2025
    Veröffentlicht in IEEE transactions on consumer electronics (01.02.2025)
    “… points.For instance, in a scenario where a software system integrates legacy code in a low-resource programming language like PHP, detecting vulnerabilities becomes challenging due to data scarcity …”
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  4. 4

    RealisticCodeBench: Towards More Realistic Evaluation of Large Language Models for Code Generation von Yu, Xiao, Chen, Haoxuan, Liu, Lei, Hu, Xing, Keung, Jacky Wai, Xia, Xin

    ISSN: 2643-1572
    Veröffentlicht: IEEE 16.11.2025
    “… Evaluating the code generation capabilities of Large Language Models (LLMs) remains an open question …”
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    Tagungsbericht
  5. 5

    Dealing with Data Pocket Primer von Campesato, Oswald

    ISBN: 9781683928201, 1683928202
    Veröffentlicht: Berlin Mercury Learning & Information 2022
    “… , Matplotlib, and data visualization. Companion files with source code and color figures are available.FEATURES:Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data …”
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    Development of python-FALL3D: a modified procedure for modelling volcanic ash dispersal in the Asia-Pacific region von Bear-Crozier, A. N., Kartadinata, Nugraha, Heriwaseso, Anjar, Nielsen, Ole

    ISSN: 0921-030X, 1573-0840
    Veröffentlicht: Dordrecht Springer Netherlands 01.10.2012
    Veröffentlicht in Natural hazards (Dordrecht) (01.10.2012)
    “… Volcanic ash is the most widespread of all volcanic hazards and has the potential to affect hundreds of thousands, or even millions, of people in the densely …”
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    Context‐based transfer learning for low resource code summarization von Guo, Yi, Chai, Yu, Zhang, Lehuan, Li, Hui, Luo, Mengzhi, Guo, Shikai

    ISSN: 0038-0644, 1097-024X
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.03.2024
    Veröffentlicht in Software, practice & experience (01.03.2024)
    “… However, the current work is being carried out on resource‐rich programming languages such as Java and Python, and some low …”
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  8. 8

    A fast and efficient python library for interfacing with the Biological Magnetic Resonance Data Bank von Smelter, Andrey, Astra, Morgan, Moseley, Hunter N. B.

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 17.03.2017
    Veröffentlicht in BMC bioinformatics (17.03.2017)
    “… Results To aid in the use of this public resource, we have developed a package called nmrstarlib in the popular open-source programming language Python. The nmrstarlib …”
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  9. 9

    Pytest Quick Start Guide: Write Better Python Code with Simple and Maintainable Tests von Oliveira, Bruno

    ISBN: 1789347564, 9781789347562
    Veröffentlicht: Birmingham Packt Publishing, Limited 2018
    “… Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going …”
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  10. 10

    Mobile python: rapid prototyping of applications on the mobile platform von Scheible, Jürgen, Tuulos, Ville

    ISBN: 9780470518021, 9780470515051, 0470515058, 0470518022
    Veröffentlicht: Newark Wiley 2008
    “… Mobile Python is the introduction of Python programming language to the mobile space …”
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    Django 2 by Example: Build Powerful and Reliable Python Web Applications from Scratch von Mele, Antonio

    ISBN: 9781788472487, 1788472489
    Veröffentlicht: Birmingham Packt Publishing, Limited 2018
    “… Django is a powerful Python web framework designed to develop web applications quickly …”
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    Resource-Efficient & Effective Code Summarization von Afrin, Saima, Call, Joseph, Nguyen, Khai-Nguyen, Chaparro, Oscar, Mastropaolo, Antonio

    Veröffentlicht: IEEE 27.04.2025
    “… Code Language Models (CLMs) have demonstrated high effectiveness in automating software engineering tasks such as bug fixing, code generation, and code documentation …”
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    Violent Python : a cookbook for hackers, forensic analysts, penetration testers, and security engineers von O'Connor, T. J.

    ISBN: 1597499579, 9781597499576
    Veröffentlicht: Amsterdam Elsevier 2013
    “… Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical …”
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    E-Book Buch
  14. 14

    Software Architecture Recovery Augmented With Semantics von Zhao, Wenting, Jin, Wuxia, Zhang, Yiran, Fan, Ming, Wang, Haijun, Li, Li, Liu, Yang, Liu, Ting

    ISSN: 0098-5589, 1939-3520
    Veröffentlicht: IEEE 01.01.2026
    Veröffentlicht in IEEE transactions on software engineering (01.01.2026)
    “… However, existing solutions still face several limitations. They underutilize both code-level and architecture-level semantics underlying the source code …”
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    Improving Quality of LLM Code Generation in Low-Resource Programming Languages via Uncertainty Estimation von Andriushchenko, Georgii

    ISSN: 2643-1572
    Veröffentlicht: IEEE 16.11.2025
    “… Large language models for source code (Code LLMs) demonstrate great performance on high-resource programming languages (HRPLs …”
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    Pattern-based circular reference detection in Python von Chen, Jie, Jiang, Tao, Yu, Dongjin, Hu, Haiyang

    ISSN: 0167-6423, 1872-7964
    Veröffentlicht: Elsevier B.V 01.04.2023
    Veröffentlicht in Science of computer programming (01.04.2023)
    “… However, runtime detection inevitably entails resource consumption. The overhead of circular reference detection can be reduced if the introduction of circular …”
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  17. 17

    OptCodeTrans: Boost LLMs on Low-Resource Programming Language Translation von Lin, Jianbo, Shen, Yi, Li, Chuanyi, Niu, Changan, Luo, Bin

    Veröffentlicht: IEEE 27.04.2025
    “… on high-resource PLs like Python and Java, leaving low-resource languages insufficiently explored …”
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    iHVI: AN OPEN-SOURCE TOOLKIT FOR CONSTRUCTING INTEGRATED HEAT VULNERABILITY INDEX IN AUSTRALIA von Sun, Q. (C.), Das, S., Wang, K., Tao, Y., Amati, M., Hurley, J., Choy, S., Duckham, M.

    ISSN: 2194-9034, 1682-1750, 2194-9034
    Veröffentlicht: Gottingen Copernicus GmbH 17.10.2022
    “… The toolkit integrated multiple data sources, cloud computing, and Web GIS technologies to deliver cool intelligence for more heat resilient Australian cities and suburbs …”
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    Time Series Indexing: Implement iSAX in Python to index time series with confidence von Tsoukalos, Mihalis

    ISBN: 1838822879, 9781838822873, 9781838821951, 1838821953
    Veröffentlicht: Birmingham Packt Publishing 2023
    “… Build and use the most popular time series index available today with Python to search and join time series at the subsequence level Purchase of the print or Kindle book includes a free PDF eBook …”
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    libChEBI: an API for accessing the ChEBI database von Swainston, Neil, Hastings, Janna, Dekker, Adriano, Muthukrishnan, Venkatesh, May, John, Steinbeck, Christoph, Mendes, Pedro

    ISSN: 1758-2946, 1758-2946
    Veröffentlicht: Cham Springer International Publishing 01.03.2016
    Veröffentlicht in Journal of cheminformatics (01.03.2016)
    “… It is widely used as a source of identifiers to facilitate unambiguous reference to chemical entities within biological models, databases, ontologies and literature …”
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