Search Results - ".py"

PyRice: a Python package for querying Oryza sativa databases by CGIAR Research Program on Rice

“…PyRice is available for use: https://github.com/SouthGreenPlatform/PyRice…”
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NextGen approach to hydrological forecasting: Adapting PyCPT tool for hydrological forecasting by Minoungou, Bernard, Ali, Abdou, Houngnibo, Mandela C., Mohamed, Hamatan, Agossou, Gadedjisso-Tossou, Segnon, Alcade C., Zougmoré, Robert B.

“…AGRHYMET has adapted the PyCPT tool for seasonal hydrological forecasting. …”
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Python Climate Predictability Tool (PyCPT) training for improved seasonal climate prediction over Ethiopia by Ahmed, Jemal Seid, Teshome, Asaminew, Demissie, Teferi Dejene

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West Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) by Grossi, Amanda, Robertson, Andrew, Trzaska, Sylwia, Dinku, Tufa, Zougmoré, Robert B., Minoungou, Bernard, Mohamed, Hamatan

“…The workshop, which was organized as part of the World Bank’s Accelerating the Impact of CGIAR Climate Research for Africa (AICCRA) project, brought together 7 national meteorological services from the WA region, as well as its regional climate center (AGRHYMET) to improve seasonal forecasting capacities using the “NextGen” approach and its concomitant PyCPT version 2 interface (PyCPT2). In particular, the major objectives of the training were to strengthen the knowledge and understanding of national meteorological services of seasonal forecasting tools, introduce the new advances and functionalities of the Python (PyCPT2) interface for the NextGen forecasting approach, configure and run PyCPT version 2 to make the best- available forecasts in participants’ home countries, including forecast verification, and provide foundational training on best practices for forecast communication including the flexible forecast format.…”
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East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) by Grossi, Amanda, Robertson, Andrew, Muñoz, Angel, Singh, Bohar, Dinku, Tufa, Demissie, Teferi Dejene, Solomon, Dawit

“…The workshop, which was organized as part of the World Bank’s Accelerating the Impact of CGIAR Climate Research for Africa (AICCRA) project, brought together 10 national meteorological services from the ESA region, as well as its regional climate center— IGAD Climate Prediction and Applications Centre (ICPAC)—to improve seasonal forecasting capacities using the “NextGen” approach and its concomitant PyCPT version 2 interface (PyCPT2). In particular, the major objectives of the training were to strengthen the knowledge and understanding of regional and national meteorological services of seasonal forecasting tools and approaches, introduce the new advances and functionalities of the Python (PyCPT2) interface for the NextGen forecasting approach, configure and run PyCPT version 2 to make the best-available forecasts in participants’ home countries, including forecast verification, and provide foundational training on best practices for forecast communication including the Flexible Forecast format.…”
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Training on the Improved NextGen Approach (PyCPT2.8) for Seasonal and Subseasonal Forecasting with the Ethiopian Meteorological Institute by Grossi, Amanda, Mason, Simon J.

“…Towards the AICCRA project’s vision of actualizing a climate-smart African future driven by science and innovation in agriculture, the technical training on PyCPT immediately followed a workshop organized by the World Food Programme (WFP) in partnership with the IRI and EMI on anticipatory action trigger design, financing arrangements, and evidence generation in Ethiopia. …”
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Zambia Report on the Africa Wide Training on the Improved NextGen Approach (PyCPT2.5) for Seasonal and Subseasonal Forecasting by Sinachikupo, Kenneth

“…The objective of the training was to strengthen knowledge of seasonal and sub-seasonal forecasting tools: Global Climate Models (GCMs) and observed data and statistical methods; introduce PyCPT 2.5: structure, inputs, outputs, workflow, examples, and automation; configure and run PyCPT 2.5 to make the best seasonal and subseasonal forecasts of precipitation and related quantities in participants’ home countries, including forecast verification; and capitalize on GCM forecast products from WMO Global Producing Centres and U.S. research centers, accessible through the IRI Data Library (NMME, C3S, S2S, and SubX databases), as well as online global precipitation datasets and offline prediction data files.…”
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Contribución de las prácticas de Contabilidad de Gestión al desempeño innovador sustentable de PyMEs agropecuarias by Scoponi, Liliana, Lauric, Miriam Andrea, Casarsa, Fabiana, De Leo, Geronimo, Torres Carbonell, Carlos Alberto, Gregorio, Valentina, San Román, Gaspar

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La gestión de BPA en una PyME familiar citrícola de la región del río Uruguay by Lombardo, Edgardo Pascual

Subjects: “…PyMES…”
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An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal by Alvar-Beltran, J., Soldan, R., Vanuytrecht, E., Heureux, A., Shrestha, Nirman, Manzanas, R., Pant, K. P., Franceschini, G.

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Africa-Wide Training on the Improved NextGen Approach (PyCPT2.5) for Seasonal and Subseasonal Forecasting and Climate Data Analysis and Visualization Tools by Grossi, Amanda, Robertson, Andrew, Rose, Alison, Singh, Bohar, Trzaska, Sylwia, Ehsan, Azhar, Kaplan, Aaron, Dinku, Tufa

“…Towards these ends, the International Research Institute for Climate and Society (IRI), as part of Columbia Climate School at Columbia University, has been working closely with the national meteorological services in AICCRA target countries (Ethiopia, Kenya Zambia, Senegal, Ghana, Mali) alongside their associated regional climate centres (RCCs), the IGAD Climate Prediction and Applications Centre (ICPAC) in East Africa and the Regional Centre for Training and Application in Agrometeorology and Operational Hydrology (AGRHYMET) in West Africa, to improve seasonal and subseasonal forecasting capacities using the NextGen (PyCPT) approach. The “NextGen” forecasting system, which is based on more than 25 years of research at the IRI, helps countries to quickly produce high-resolution, location-specific forecasts that can be easily communicated to agricultural decision makers and planners. …”
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Manual sobre prácticas de producción más limpia: una contribución a las PyMes de la Ruta de las Culturas del Maíz by Rettig, Birgit, Fontana, Yorlenny

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Herramientas de diagnóstico de clusters y aportes para su reorganización: Primera Parte by Moltoni, Luciana Andrea

Subjects: “…PyMES…”
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Transiciones socio-técnicas hacia el Desarrollo Sostenible: propuesta para la evaluación de aprendizajes en PyMEs ganaderas de la Pampa semiárida de Argentina by Scoponi, Liliana, Lauric, Miriam Andrea, Torres Carbonell, Carlos Alberto, De Leo, Geronimo

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Modelos de optimización aplicados al aprovechamiento de lactosuero en pymes de Santa Fe by Paez, Roxana Beatriz, Granata, V., DeVito, M., Karlen, Joselina, Taverna, Miguel Angel

Subjects: “…PyMEs…”
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Identificación de la cartera de priorización de procesos basado en business process management para medir la eficacia de la distribuidora Almacenes Sevillano by Tello Ramirez, Sheyla Karen

Subjects: “…PyMEs…”
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"Ventajas cooperativas” : fortalezas del asociativismo entre MICROPYMES by Moltoni, Luciana Andrea, González Maraschio, Fernanda

Subjects: “…PyMES…”
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Técnicas apropiadas. Memorias del I encuentro del Mercosur ampliado: maquinarias y herramientas para la agricultura familiar by Esparza, Silvina Luisa, Ramilo, Diego Nicolas

Subjects: “…Pequeña y Mediana Empresa (PyME)…”
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Memoria, análisis y propuestas. II Encuentro del Mercosur ampliado. Máquinas y herramientas para la agricultura familiar: tecnologías apropiadas para la agricultura familiar by Tutuy, Manuel Roque (Comp.), Noseda, Claudia (Comp.), Marasca, Oscar (Comp.), Ramilo, Diego Nicolas (Comp.), Palioff Nosal, Claudia Alejandra (Comp.), Sosa, Carlos Sebastián (Comp.)

Subjects: “…Pequeña y Mediana Empresa (PyME)…”
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Relevancy and role of whole-farm models in supporting smallholder farmers in planning their agricultural season by Sempore, AW, Andrieu, Nadine, Nacro, HB, Sedogo, MP, Le Gal, PY

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