IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python

IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python

Enregistré dans:

Détails bibliographiques
Auteur principal:	Rossant, Cyrille (1985-....). (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2014.
Sujets:	Langages de programmation. Python (langage de programmation). Command languages (Computer science). Information visualization. Interactive computer systems. Python (Computer program language).
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python / Cyrille Rossant

Documents similaires

Learning IPython for interactive computing and data visualization
par: Rossant, Cyrille (1985-....).
Publié: (2015)

Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV
par: Minichino, Joe.
Publié: (2015)

OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python
par: Beyeler, Michael (1981-....).
Publié: (2015)

Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide
par: Lott, Steven F..
Publié: (2015)

Learning robotics using Python : design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!
par: Lentin, Joseph.
Publié: (2015)

Python high performance
par: Lanaro, Gabriele.
Publié: (2017)

Python for dummies
par: Maruch, Steph.

Matplotlib for Python developers : build remarkable publication quality plots the easy way
par: Tosi, Sandro (198.-....).
Publié: (2009)

Mastering Python scientific computing : a complete guide for Python programmers to master scientific computing using Python APIs and tools
par: Mehta, Hemant Kumar.
Publié: (2015)

Raspberry Pi user guide
par: Upton, Eben.

Python for secret agents : analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents
par: Lott, Steven F..
Publié: (2014)

Python multimedia beginner's guide : learn how to develop multimedia applications using Python with this practical step-by-step guide
par: Sathaye, Ninad.
Publié: (2010)

Elixir cookbook : unleash the full power of programming in Elixir with over 60 incredibly effective recipes
par: Pereira, Paulo A..
Publié: (2015)

Python 3 : apprendre à programmer dans l'écosystème Python
par: Cordeau, Bob (19..-....).
Publié: (2020)

Essential algorithms : a practical approach to computer algorithms using Python and C#
par: Stephens, Rod (1961-....).

Python 3 object oriented programming : harness the power of Python 3 objects
par: Phillips, Dusty.
Publié: (2010)

Les algorithmes de base de l'informatique quantique.
par: Fleury, Gérard (19..-....; mathématicien).

Python machine learning
par: Lee, Wei-Meng (19..-....).

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python
par: Raschka, Sebastian.
Publié: (2016)

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
par: Richert, Willi.
Publié: (2013)

Le petit Python orienté objet : programmation orientée objet avec Python 3
par: Gomez, Richard (19..-....).
Publié: (2022)

Heterogeneous computing with OpenCL 2.0
Publié: (2015)

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
par: Layton, Robert (19..-....; informaticien).
Publié: (2015)

Learning predictive analytics with Python : gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python
par: Kumar, Ashish (19..-....).
Publié: (2016)

Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python
par: Lentin, Joseph.
Publié: (2018)

Python for data science
par: Mueller, John Paul (1958-....).
Publié: (2019)

Kivy : interactive applications and games in Python : create responsive cross-platform UIUX applications and games in Python and using the open source Kivy library
par: Ulloa, Roberto.
Publié: (2015)

Kivy : interactive applications in Python : create cross-platform UIUX applications and games in Python
par: Ulloa, Roberto.
Publié: (2013)

Getting started with Python and Raspberry Pi : learn to design and implement reliable Python applications on Raspberry Pi, using a range of external libraries, the Raspberry Pi's GPIO port, and the camera module
par: Nixon, Dan.
Publié: (2015)

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
par: Gulli, Antonio.
Publié: (2017)

Practical Maya programming with Python : unleash the power of Python in Maya and unlock your creativity
par: Galanakis, Robert.
Publié: (2014)

Implementing domain-specific languages with Xtext and Xtend : learn how to implement a DSL with Xtext and Xtend using easy-to-understand examples and best practices
par: Bettini, Lorenzo (19..).
Publié: (2013)

Matplotlib plotting cookbook : learn how to create professional scientific plots using matplotlib, with more than 60 recipes that cover common use cases
par: Devert, Alexandre (1981-....).
Publié: (2014)

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

Interactive applications using Matplotlib : don't just see your data, experience it!
par: Root, Benjamin V. (19..-..).
Publié: (2015)

OpenCV with Python by Example : Buil real-world computer vision applications and develop cool demos using OpenCV for Python
par: Joshi, Prateek (19..-....).
Publié: (2015)

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

Python passive network mapping : P2NMAP
par: Hosmer, Chet.
Publié: (2015)

OpenGL 4 shading language cookbook : over 70 recipes demonstrating simple and advanced techniques fot producing high-qualitu, real-time 3D graphics using OpenGL and GLSL 4.x
par: Wolff, David.
Publié: (2013)

OpenGL 4.0 shading language cookbook : over 60 highly focused, practical recipes to maximize your use of the OpenGL shading language
par: Wolff, David.
Publié: (2011)

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