Search Results - Efficient Data Science in Python

pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science

Authors: João Victor da Silva Guerra Helder Veras Ribeiro-Filho Gabriel Ernesto Jara et al.

Source: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-13 (2021)

Subject Terms: Cavity detection, Cavity characterization, NumPy, Python, Data structure, Data science, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/8ed22d93639c46f7a27d48425ed79d7f

Building data science applications with FastAPI : develop, manage, and deploy efficient machine learning applications with Python / François Voron.

Authors: Voron, François. Autor Packt Publishing. Wydawca pbl

Contributors: Voron, François. Autor Packt Publishing. Wydawca pbl

Source: Indeks.

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:5807517&theme=nukat

Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

Authors: Tirthajyoti Sarkar

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Compilation and code generation for efficient data science

Authors: Shahrokhi, Seyed Hesamoddin Shaikhha, Amir Nikolic, Milos et al.

Contributors: Shahrokhi, Seyed Hesamoddin Shaikhha, Amir Nikolic, Milos et al.

Subject Terms: SQL, compilation-centric approach, efficiency, data science, SQL/C++, optimization, C++, Python

File Description: application/pdf

Access URL: https://hdl.handle.net/1842/41894

Omilayers: a Python package for efficient data management to support multi-omic analysis.

Authors: Kioroglou, Dimitrios¹ (AUTHOR) dkioroglou@cicbiogune.es

Source: BMC Bioinformatics. 2/6/2025, Vol. 26 Issue 1, p1-11. 11p.

Subject Terms: *DATABASE management, *INFORMATION retrieval, *INFORMATION storage & retrieval systems, *DATABASES, *DATA management, *PYTHON programming language

Big Data Visualization: Tableplot for Python

Authors: Rodrigues, Antonio Moreira de Azambuja António, Nuno Miguel da Conceição RUN

Contributors: Rodrigues, Antonio Moreira de Azambuja António, Nuno Miguel da Conceição RUN

Subject Terms: Big Data, Data Visualization, Tableplot, Python, Exploratory Analysis, SDG 4 - Quality education, SDG 7 - Affordable and clean energy, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190287

Efficient and Reliable Data Extraction in Radiation Oncology using Python Programming Language: A Pilot Study.

Authors: Chauhan, Rohit Singh Pradhan, Anirudh Munshi, Anusheel et al.

Source: Journal of Medical Physics. Jan-Mar2023, Vol. 48 Issue 1, p13-18. 6p.

Subject Terms: *PYTHON programming language, *DATA extraction, *EXTERNAL beam radiotherapy, *RADIATION therapy equipment, *DATA mining, *PILOT projects

ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?

Authors: Lemesev, Alexandru Mamede, José Henrique Pereira São Santos, Vítor Manuel Pereira Duarte dos et al.

Contributors: Lemesev, Alexandru Mamede, José Henrique Pereira São Santos, Vítor Manuel Pereira Duarte dos et al.

Subject Terms: ChatGPT, Data Science, Artificial Intelligence, Clustering, Python, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/175064

Hands-On Data Science and Python Machine Learning : Perform Data Mining and Machine Learning Efficiently Using Python and Spark

Authors: Frank Kane

Resource Type: eBook.

Subjects: Machine learning, Python (Computer program language), Artificial intelligence, Data mining

Categories: COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / Data Modeling & Design

bioScience: A new python science library for high-performance computing bioinformatics analytics

Authors: Aurelio López-Fernández Francisco A. Gómez-Vela Jorge Gonzalez-Dominguez et al.

Source: SoftwareX, Vol 26, Iss , Pp 101666- (2024)

Subject Terms: Bioinformatics, High-performance computing, Data science, Data mining, Data analysis, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711024000372; https://doaj.org/toc/2352-7110

Access URL: https://doaj.org/article/09003b6308614628a782e786c4492361

UDF-Centric Dataflow Systems for Supporting User-Defined Functions in Collaborative Data Science, AI, and ML

Authors: Huang, Yicong

Subject Terms: Computer science, Artificial intelligence, Computer engineering, data management, data-processing engine, dataflow system, UDF, user-defined function, workflow

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/9tv0t1tr
https://escholarship.org/content/qt9tv0t1tr/qt9tv0t1tr.pdf

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation.

Authors: Schilling, Markus Bruns, Sebastian Bayerlein, Bernd et al.

Source: Advanced Engineering Materials; Apr2025, Vol. 27 Issue 8, p1-13, 13p

Subject Terms: KNOWLEDGE representation (Information theory), DIGITAL technology, SEMANTIC Web, ENGINEERING laboratories, TENSILE tests

Data Science with Python and Dask

Authors: Jesse Daniel

Resource Type: eBook.

Subjects: Electronic data processing--Distributed processing, Data mining, Python (Computer program language), Information visualization

Categories: COMPUTERS / Computer Science, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Modeling & Design

Collaborative and Reproducible Planetary Science Through the Europlanet GMAP JupyterHub Processing Environment.

Authors: Nodjoumi, G. Brandt, C. H. Suárez‐Valencia, J. E. et al.

Source: Earth & Space Science. May2025, Vol. 12 Issue 5, p1-12. 12p.

Subject Terms: *PLANETARY surfaces, *GEOLOGICAL mapping, *PLANETARY science, *COMPUTER software installation, *MAP projection, *PYTHON programming language

Company/Entity: GEOLOGICAL Survey (U.S.) , UNITED States. National Aeronautics & Space Administration

Better Programming Principles for Efficient Data Science

Authors: Tirthajyoti Sarkar

Source: Productive and Efficient Data Science with Python ISBN: 9781484281208

scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data

Authors: Luca Pappalardo Filippo Simini Gianni Barlacchi et al.

Source: Journal of Statistical Software, Vol 103, Pp 1-38 (2022)

Subject Terms: data science, human mobility, big data, network science, data mining, python, mathematical modelling, migration models, privacy, software, open source, Statistics, HA1-4737

File Description: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/3942; https://doaj.org/toc/1548-7660

Access URL: https://doaj.org/article/cde8ae0756cb4107b29e5efd1224bfd5

How to Use Python Data Science Packages More Productively

Authors: Tirthajyoti Sarkar

Source: Productive and Efficient Data Science with Python ISBN: 9781484281208

What Is Productive and Efficient Data Science?

Authors: Tirthajyoti Sarkar

Source: Productive and Efficient Data Science with Python ISBN: 9781484281208

Cricketing Insights Unveiled: Python-Based Information Extraction from IPL.

Authors: Bashir, Kubra Maroof, Afsheen Maqbool, Fatima et al.

Source: JISR on Computing; Jul-Dec2024, Vol. 22 Issue 2, p173-180, 8p

Subject Terms: DATA analytics, ATHLETIC leagues, DATA mining, DATA extraction, DATA science

Company/Entity: INDIAN Premier League