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  1. 1521
    por Idris, Ivan
    Publicado 2014
    Enlace del recurso
    Learning NumPy array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively
  2. 1522
    por Maia, Italo
    Publicado 2015
    Enlace del recurso
    Building web applications with Flask: use Python and Flask to build amazing web applications, just the way you want them!
  3. 1523
    por Joshi, Prateek
    Publicado 2016
    Enlace del recurso
    Python machine learning cookbook: 100 recipes that teach you how to perform various machine learning tasks in the real world
  4. 1524
    Enlace del recurso
    Apache Spark 2 for beginners: develop large-scale distributed data processing applications using Spark 2 in Scala and Python
  5. 1525
    por Beyeler, Michael
    Publicado 2017
    Enlace del recurso
    Machine learning for OpenCV: a practical introduction to the world of machine learning and image processing using OpenCV and Python
  6. 1526
    Enlace del recurso
    Natural language processing with Python cookbook: over 60 recipes to implement text analysis solutions using deep learning principles
  7. 1527
    por Kumar, Ashish, Babcock, Joseph
    Publicado 2017
    Enlace del recurso
    Python: advanced predictive analytics : gain practical insights by exploiting data in your business to build advanced predictive modeling applications
  8. 1528
    por Das, Sibanjan, Cakmak, Umit Mert
    Publicado 2018
    Enlace del recurso
    Hands-on automated machine learning: a beginner's guide to building automated machine learning systems using AutoML and Python
  9. 1529
    por Toomey, Dan
    Publicado 2018
    Enlace del recurso
    Jupyter cookbook: over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
  10. 1530
    por Eckroth, Joshua
    Publicado 2018
    Enlace del recurso
    Python artificial intelligence projects for beginners: get up and running with artificial intelligence using 8 smart and exciting AI applications
  11. 1531
    por Galea, Alex, Capelo, Luis
    Publicado 2018
    “…In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!.…”
    Enlace del recurso
    Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
  12. 1532
    Enlace del recurso
    TensorFlow machine learning projects: build 13 real-world projects with advanced numerical computations using the Python ecosystem
  13. 1533
    por Ravichandiran, Sudharsan
    Publicado 2018
    “…This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.…”
    Enlace del recurso
    Hands-on meta learning with Python: meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
  14. 1534
    por Bonaccorso, Giuseppe
    Publicado 2019
    Enlace del recurso
    Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
  15. 1535
    por Liu, Yuxi (Hayden), Mehta, Saransh
    Publicado 2019
    Enlace del recurso
    Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
  16. 1536
    por Ravichandiran, Sudharsan
    Publicado 2019
    “…This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow. …”
    Enlace del recurso
    Hands-on deep learning algorithms with Python: master deep learning algorithms with extensive math by implementing them using TensorFlow
  17. 1537
    por Vasilev, Ivan
    Publicado 2019
    “…This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. …”
    Enlace del recurso
    Advanced deep learning with Python: design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
  18. 1538
    por Ansari, Shamshad
    Publicado 2020
    Enlace del recurso
    Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
  19. 1539
    “…PyDDT is a free Python package of computer codes for exploiting X-ray dynamic multiple diffraction in single crystals. …”
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    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Introduction to Python Dynamic Diffraction Toolkit (PyDDT): structural refinement of single crystals via X-ray phase measurements
  20. 1540
    “…Introducing SimpliPyTEM, a Python library and accompanying GUI that simplifies the post-acquisition evaluation of transmission electron microscopy (TEM) images, helping streamline the workflow. …”
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    Enlace del recurso
    Online Artículo Texto
    SimpliPyTEM: An open-source Python library and app to simplify transmission electron microscopy and in situ-TEM image analysis
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