WEITI » Students »

The Faculty Library

Visit us at the Faculty Library! 

The Library is located in Room 40 (ground floor).
  

 
The Faculty Library opening hours:
Monday - Friday
9:00 am – 6:00 pm
 
***
 

THE CENTRAL CATALOGUE OF WUT LIBRARIES»

 
***

                

EMPLOYEES
Library Director-Custodian
Olga Bogatek, M.A.
tel. 22 234 7625 
e-mail olga.bogatek@pw.edu.pl 
Senior Librarian
Anna Gątarek, M.A.
tel. 22 234 7625 
e-mail anna.gatarek@pw.edu.pl
Librarian
Małgorzata Rymut
tel. 22 234 7625 
e-mail malgorzata.rymut@pw.edu.pl
Senior Librarian
Kamila Szlaga, M.A.
tel. 22 234 7625 
e-mail kamila.szlaga@pw.edu.pl
Senior Librarian
Anna Zaręba, M.A.
tel. 22 234 7625 
e-mail anna.zareba@pw.edu.pl

 

RULES AND REGULATIONS

 

 

Contact us

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

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

  

 

New books in the Library  

Okładka: Big data on Kubernetes. A practical guide to building efficient and scalable data solutions

    Crepalde N.  

    Big data on Kubernetes. A practical guide to building efficient and scalable 
    data solutions

    Packt Publishing, 2024

    Description: 

Okładka: DevOps. Frameworks, techniques, and tools

    Vijayakumaran S.  

    DevOps. Frameworks, techniques, and tools

    Rheinwerk Publishing, 2024

    Description: 

Okładka: Generative AI application integration patterns. Integrate large language models into your applications

    Bustos J.P., Lopez Soria L.  

    Generative AI application integration patterns. Integrate large language models
    into your applications 

    Packt Publishing, 2024

    Description: 

Okładka: Hands-on machine learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines. Second edition

    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

    Description: 

Okładka: Learn generative AI with PyTorch

    Liu M. 

    Learn generative AI with PyTorch 

    Manning, 2024

    Description: 

application/msword  Learn generative AI with PyTorch (msword, 30.50 kB)
Okładka: Learn Python programming. A comprehensive, up-to-date, and definitive guide to learning Python. Fourth edition

    Romano F., Kruger H.     

    Learn Python programming. A comprehensive, up-to-date, and definitive guide
    to learning Python. Fourth edition

    Packt Publishing, 2024

    Description: 

Okładka: Machine learning for imbalanced data. Tackle imbalanced datasets using machine learning and deep learning techniques

    Abhishek K., Abdelaziz M.    

    Machine learning for imbalanced data. Tackle imbalanced datasets using 
    machine learning and deep learning techniques 

    Packt Publishing, 2023

    Description: 

Okładka: Quick start guide to large language models. Strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI. Second edition

    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

    Description: 

Okładka: Unlocking data with generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG

    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

    Description: