Biblioteka WEiTI

Zapraszamy do Biblioteki Wydziałowej!

Lokalizacja Biblioteki: parter, pok. 40.

Biblioteka czynna w godzinach:

Poniedziałek – Piątek

9:00 - 18:00

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KATALOG CENTRALNY BIBLIOTEK PW»

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Biblioteka Wydziału zaprasza pracowników naukowych do zgłaszania zapotrzebowania na analizę cytowań

Bibliografia załącznikowa i przypisy w pracy: zasady, wskazówki i przykłady

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PRACOWNICY
Koordynator ds. Bazy Wiedzy na WEiTI Kierownik Biblioteki - Kustosz mgr Olga Bogatek	tel. 22 234 76 25 e-mail olga.bogatek@pw.edu.pl
Starszy Bibliotekarz mgr Anna Gątarek	tel. 22 234 76 25 e-mail anna.gatarek@pw.edu.pl
Bibliotekarz Małgorzata Rymut	tel. 22 234 76 25 e-mail malgorzata.rymut@pw.edu.pl
Starszy Bibliotekarz mgr Kamila Szlaga	tel. 22 234 76 25 e-mail kamila.szlaga@pw.edu.pl
Starszy Bibliotekarz mgr Anna Zaręba	tel. 22 234 76 25 e-mail anna.zareba@pw.edu.pl

Regulamin

Regulamin Biblioteki WEiTI (pdf, 504,02 kB)

Regulamin Systemu Biblioteczno-Informacyjnego PW (pdf, 767,50 kB)

Dane kontaktowe

tel. +48 22 234 76 25
tel. +48 22 234 58 32
e-mail bwepw.elka@pw.edu.pl

ul. Nowowiejska 15/19, pok. 40
00-665 Warszawa

Nowości biblioteczne

	Crepalde N. Big data on Kubernetes. A practical guide to building efficient and scalable data solutions Packt Publishing, 2024 Pobierz opis publikacji: Big data on Kubernetes. A practical guide to building efficient and scalable data solutions (msword, 29,00 kB)
	Vijayakumaran S. DevOps. Frameworks, techniques, and tools Rheinwerk Publishing, 2024 Pobierz opis publikacji: DevOps. Frameworks, techniques, and tools (msword, 29,00 kB)
	Bustos J.P., Lopez Soria L. Generative AI application integration patterns. Integrate large language models into your applications Packt Publishing, 2024 Pobierz opis publikacji: Generative AI application integration patterns. Integrate large language models into your applications (msword, 30,00 kB)
	Kolodiazhnyi K. Hands-on machine learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines. Second edition Packt Publishing, 2025 Pobierz opis publikacji: Hands-on machine learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines. Second edition (msword, 30,00 kB)
	Liu M. Learn generative AI with PyTorch Manning, 2024 Pobierz opis publikacji: Learn generative AI with PyTorch (msword, 30,50 kB)
	Romano F., Kruger H. Learn Python programming. A comprehensive, up-to-date, and definitive guide to learning Python. Fourth edition Packt Publishing, 2024 Pobierz opis publikacji: Learn Python programming. A comprehensive, up-to-date, and definitive guide to learning Python. Fourth edition (msword, 28,50 kB)
	Abhishek K., Abdelaziz M. Machine learning for imbalanced data. Tackle imbalanced datasets using machine learning and deep learning techniques Packt Publishing, 2023 Pobierz opis publikacji: Machine learning for imbalanced data. Tackle imbalanced datasets using machine learning and deep learning techniques (msword, 29,50 kB)
	Ozdemir S. Quick start guide to large language models. Strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI. Second edition Addison-Wesley, 2024 Pobierz opis publikacji: Quick start guide to large language models. Strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI. Second edition (msword, 29,50 kB)
	Bourne K. Unlocking data with generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG Packt Publishing, 2024 Pobierz opis publikacji: Unlocking data with generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG (msword, 29,50 kB)