Search Results - Efficient Data Science in Python

Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications by Shafi, Aamir, Hashmi, Jahanzeb Maqbool, Subramoni, Hari, Panda, Dhabaleswar K.

“…Python is emerging as a popular language in the data science community due to its ease-of-use, vibrant community, and rich set of libraries…”
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PyTond: Efficient Python Data Science on the Shoulders of Databases by Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

“…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
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Python data science essentials: become an efficient data science practitioner by thoroughly understanding the key concepts of Python by Boschetti, Alberto, Massaron, Luca

“…The book starts by introducing you to setting up your essential data science toolbox…”
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pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science by Guerra, João Victor da Silva, Ribeiro-Filho, Helder Veras, Jara, Gabriel Ernesto, Bortot, Leandro Oliveira, Pereira, José Geraldo de Carvalho, Lopes-de-Oliveira, Paulo Sérgio

“… To fulfill this need, we developed pyKVFinder, a Python package to detect and characterize cavities in biomolecular structures for data science and automated pipelines…”
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PyTond: Efficient Python Data Science on the Shoulders of Databases by Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

“…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
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Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python by Boschetti, Alberto, Massaron, Luca

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Hands-on Data Science and Python Machine Learning by Kane Frank

“… them. Based on author successful data science course, this book empowers you to conduct data analysis and perform efficient machine learning using Python…”
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Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark by Kane, Frank

“… Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your…”
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Python for Everyone: Learn and polish your coding skills in Python (English Edition) by Saurabh Chandrakar, Dr. Nilesh Bhaskarrao Bahadure

“… ? Get familiar with the core and advanced Python concepts. ? Work with the most used Data Science libraries in Python…”
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TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning by Pérez-García, Fernando, Sparks, Rachel, Ourselin, Sébastien

“…•Open-source Python library for preprocessing, augmentation and sampling of medical images for deep learning…”
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ZMPY3D: accelerating protein structure volume analysis through vectorized 3D Zernike moments and Python-based GPU integration by Lai, Jhih-Siang, Burley, Stephen K, Duarte, Jose M

“… As the volume of experimental and computationally-predicted protein structure information continues to increase, structural biology has become a “big data…”
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zeus: a python implementation of ensemble slice sampling for efficient Bayesian parameter inference by Karamanis, Minas, Beutler, Florian, Peacock, John A

“…ABSTRACT We introduce zeus, a well-tested Python implementation of the Ensemble Slice Sampling (ESS…”
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Efficient access to qualitative data: a case of MD&A analysis from 10-K with Python via SEC's API by Lee, Joo Hyung, Lee, Seung Jae

“…: using Python with 10-K filings via the U.S. Securities and Exchange Commission's application programming interface, we show how to broaden the source of data available for research…”
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Efficient Multiple Imputation for Diverse Data in Python and R : MIDASpy and rMIDAS by Lall, Ranjit, Robinson, Thomas

“…This paper introduces software packages for efficiently imputing missing data using deep learning methods in Python (MIDASpy) and R (rMIDAS…”
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HiPy: Extracting High-Level Semantics from Python Code for Data Processing by Jungmair, Michael, Engelke, Alexis, Giceva, Jana

“…Data science workloads frequently include Python code, but Python's dynamic nature makes efficient execution hard…”
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Omilayers: a Python package for efficient data management to support multi-omic analysis by Kioroglou, Dimitrios

“…Multi-omic integration involves the management of diverse omic datasets. Conducting an effective analysis of these datasets necessitates a data management…”
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PxBLAT: an efficient python binding library for BLAT by Li, Yangyang, Yang, Rendong

“…Background With the surge in genomic data driven by advancements in sequencing technologies, the demand for efficient bioinformatics tools for sequence analysis has become paramount…”
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SciPy 1.0: fundamental algorithms for scientific computing in Python by Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul

“…SciPy is an open-source scientific computing library for the Python programming language…”
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PecanPy: a fast, efficient and parallelized Python implementation of node2vec by Liu, Renming, Krishnan, Arjun

“… We have developed PecanPy, a new Python implementation of node2vec that uses cache-optimized compact graph data structures and precomputing/parallelization to result in fast, high-quality node…”
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easySCF: a tool for enhancing interoperability between R and Python for efficient single-cell data analysis by Zhang, Haoyun, Zhang, Wentao, Zhao, Shuai, Xu, Guangyu, Shen, Yi, Jiang, Feng, Qin, An, Cui, Lei

“…Summary This study introduces easySCF, a tool designed to enhance the interoperability of single-cell data between the two major bioinformatics platforms, R and Python…”
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