Search Results - (( practice python (programs OR progress) ) OR ( practice python process ))

Data Ingestion with Python Cookbook: A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process by Esppenchutz, Gláucia

“…Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and quality Key Features Harness best practices to create a Python and PySpark data ingestion…”
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pyOpenSci: Open and reproducible research, powered by Python by Trizna, Michael, Wasser, Leah, Nicholson, David

“… pyOpenSci will work with the community to openly develop best practice guidelines and open standards for scientific Python software, which will be reinforced through a community-led peer review process and training…”
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Data ingestion with Python cookbook: a practical guide helping you ingest, monitor, and identify errors in the data ingestion process by Esppenchutz, Glaucia

“… and quality.Key FeaturesImplement the best practices to create a data Ingestion pipeline using python and pySparkAutomate and orchestrate your data pipelines using Apache AirflowBuild a monitoring framework…”
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Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python by Mihelič, Erik, Klinar, Dušan, Rižnar, Klavdija, Oprčkal, Primož

“…) drying process in an illustrative chemical engineering practice. The drying process is performed on a flat plate while maintaining a uniform, parallel drying air speed…”
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Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python by Navlani, Avinash, Fandango, Armando, Idris, Ivan

“… enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data…”
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Extending Power BI with Python and R : perform advanced analysis using the power of analytical languages by Zavarella, Luca

“… * Discover best practices for using Python and R in Power BI by implementing non-trivial code…”
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Programming biological models in Python using PySB by Lopez, Carlos F, Muhlich, Jeremy L, Bachman, John A, Sorger, Peter K

“… In this paper we describe PySB, an approach in which models are not only created using programs, they are programs…”
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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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Geospatial development by example with Python: build your first interactive map and build location-aware applications using cutting-edge examples in Python by Carreira, Pablo

“…Annotation Build your first interactive map and build location-aware applications using cutting-edge examples in PythonAbout This Book Learn the full geo-processing workflow using Python with open…”
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Pandas Cookbook - Practical Recipes for Scientific Computing, Time Series, and Exploratory Data Analysis Using Python (3rd Edition) by Ayd, William, Harrison, Matthew, McKinney, Wes

“…Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges…”
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models by Galli, Soledad

“… This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via…”
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more by Molak, Aleksander

“… Causal Inference and Discovery in Python helps you unlock the potential…”
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The Python workshop: a practical, no-nonsense introduction to Python development by Andrew Bird, Bird, Dr Lau Cher Han, Han, Mario Corchero Jimenez, Jimenez, Graham Lee, Lee, Corey Wade, Wade

“… you progress at your own pace, on your own termsUse your physical print copy to redeem free access to the online interactive editionBook DescriptionYou already know you want to learn Python…”
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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models, 2nd Edition by Soledad Galli

“… engineering by showing you how to use open source Python libraries to accelerate the process via…”
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Macromolecular structure determination using X‐rays, neutrons and electrons: recent developments in Phenix by Liebschner, Dorothee, Afonine, Pavel V., Baker, Matthew L., Bunkóczi, Gábor, Chen, Vincent B., Croll, Tristan I., Hintze, Bradley, Hung, Li-Wei, Jain, Swati, McCoy, Airlie J., Moriarty, Nigel W., Oeffner, Robert D., Poon, Billy K., Prisant, Michael G., Read, Randy J., Richardson, Jane S., Richardson, David C., Sammito, Massimo D., Sobolev, Oleg V., Stockwell, Duncan H., Terwilliger, Thomas C., Urzhumtsev, Alexandre G., Videau, Lizbeth L., Williams, Christopher J., Adams, Paul D.

“…‐dimensional macromolecular structures, which are required to understand biological processes and to develop new therapeutics against diseases…”
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Enhancing self‐directed learning and Python mastery through integration of a large language model and learning analytics dashboard by Liu, Ming, Wu, Zhongming, Dai, Haimin, Su, Yifei, Malik, Laiba, Liao, Jian, Zhang, Wei, Guo, Shuo, Liu, Li, Zhao, Junqiang

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The Python Workshop: Learn to Code in Python and Kickstart Your Career in Software Development or Data Science by Pons, Olivier, Bird, Andrew, Han, Lau Cher, Jiménez, Mario Corchero, Lee, Graham, Wade, Corey

“…More than just a Python guide for beginners, The Python Workshop takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science…”
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A Python code for simulations of RHEED intensity oscillations within the one-dimensional dynamical approximation by Daniluk, Andrzej, Daniluk, Bartłomiej, Wójcik, Grzegorz M.

“…We present a Python-based implementation of a practical procedure of construction of simulation program, which facilitates the calculation of changes to the intensity of RHEED oscillations…”
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Applied Data Science with Python and Jupyter by Alex Galea

“…Dive into the field of data science with "Applied Data Science with Python and Jupyter," a beginner-friendly guide designed to empower you with industry-relevant data analysis skills…”
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xGAP: a python based efficient, modular, extensible and fault tolerant genomic analysis pipeline for variant discovery by Gorla, Aditya, Jew, Brandon, Zhang, Luke, Sul, Jae Hoon

“…Abstract Motivation Since the first human genome was sequenced in 2001, there has been a rapid growth in the number of bioinformatic methods to process and analyze next-generation sequencing (NGS…”
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