×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition Cyrille Rossant

(ebook) (audiobook) (audiobook) Książka w języku angielskim
IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition Cyrille Rossant - okladka książki

IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition Cyrille Rossant - okladka książki

IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition Cyrille Rossant - audiobook MP3

IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition Cyrille Rossant - audiobook CD

Autor:
Cyrille Rossant
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
548
Dostępne formaty:
     PDF
     ePub
     Mobi
Zostało Ci na świąteczne zamówienie opcje wysyłki »
Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform.

IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.

The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.

Wybrane bestsellery

O autorze książki

Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College London. He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science. He has also worked at Princeton University and Collège de France. While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization. He is the author of Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
98,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.