Mastering SciPy

Mastering SciPy

Enregistré dans:

Détails bibliographiques
Auteur principal:	Blanco-Silva, Francisco J.. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2015.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

SciPy recipes
par: Martins, L. Felipe.
Publié: (2017)

Learning SciPy for numerical and scientific computing
par: G., Sergio J. Rojas.
Publié: (2015)

Mastering PyCharm
par: Islam, Quazi Nafiul.
Publié: (2015)

Scientific Computing with Python : High-performance scientiﬁc computing with NumPy, SciPy, and pandas
par: Führer, Claus.
Publié: (2021)

Mastering PyTorch : Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
par: Jha, Ashish Ranjan.

Mastering numerical computing with NumPy : master scientific computing and perform complex operations with ease
par: Cakmak, Umit Mert.
Publié: (2018)

NumPy : beginner's guide
par: Idris, Ivan.
Publié: (2015)

Learning PySpark
par: Drabas, Tomasz.
Publié: (2017)

NumPy essentials
par: Chin, Leo (Liang-Huan).
Publié: (2016)

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy
par: Idris, Ivan.
Publié: (2012)

Learning NumPy Array
par: Idris, Ivan.
Publié: (2014)

ArcPy and ArcGIS
par: Tomas, Silas.
Publié: (2017)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
par: Subramanian, Vishnu (19..-....).
Publié: (2018)

Python GUI with PyQt : Learn to build modern and stunning GUIs in Python with PyQt5 and Qt Designer
par: Chandrakar, Saurabh.

ArcPy and ArcGIS : geospatial analysis with Python
par: Tomas, Silas.
Publié: (2015)

PySide GUI application development
par: Jaganmohan, Gopinath.
Publié: (2016)

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch
par: Saleh, Hyatt.
Publié: (2020)

Essential PySpark for Scalable Data Analytics : A beginner's guide to harnessing the power and ease of PySpark 3
par: Nudurupati, Sreeram.
Publié: (2021)

NumPy beginner's guide (Second Edition)
par: Idris, Ivan.
Publié: (2013)

PySpark cookbook : over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
par: Lee, Denny.
Publié: (2018)

Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
par: Timsina, Prem.

Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
par: Timsina, Prem.

Hands-On Application Development with PyCharm : Build applications like a pro with the ultimate python development tool
par: Van Horn, Bruce M. (II).

PyTorch Deep Learning Hands-On : Apply modern AI techniques with CNNs, RNNs, GANs, reinforcement learning, and more
par: Thomas, Sherin.
Publié: (2019)

Deep Learning with PyTorch Lightning : Swiftly build high-performance Articial Intelligence (AI) models using Python
par: Sawarkar, Kunal.
Publié: (2022)

Modern Computer Vision with PyTorch : A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
par: Kishore Ayyadevara, V..

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python
par: Raschka, Sebastian.
Publié: (2022)

Hands-on data analysis with NumPy and pandas : implement Python packages from data manipulation to processing
par: Miller, Curtis.
Publié: (2018)

Hands-On Big Data Analytics with PySpark : Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
par: Lai, Rudy.
Publié: (2019)

Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python
par: Julian, David.
Publié: (2018)

Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process
par: Alves, Maicon Melo.

Mastering GUI Programming with Python : Develop impressive cross-platform GUI applications with PyQt
par: Moore, Alan D. (19..-....; informaticien).
Publié: (2019)

Créer des applications graphiques en Python avec PyQt5
par: Denis, Pierre (19..-....; informaticien).
Publié: (2017)

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python
par: Liu, Yuxi (Hayden).
Publié: (2019)

Hands-On Natural Language Processing with PyTorch 1.x : Build smart, AI-driven linguistic applications using deep learning and NLP techniques
par: Dop, Thomas.
Publié: (2020)

Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python
par: Hany, John.
Publié: (2019)

The Masters
par: Snow, Charles Percy, 1905-1980.
Publié: (1963)

Masters, Mastères Spécialisés, MSc : 480 formations d'excellence.
Publié: (2018)

Mastering matplotlib
par: Mcgreggor, Duncan M..
Publié: (2015)

Mastering QGIS
par: Gisp, Kurt Menke.
Publié: (2015)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1