Résultats de la recherche - "Python (Computer program language)"

1

Matplotlib for Python developers : build remarkable publication quality plots the easy way

par Tosi, Sandro, 198.-
Publié 2009

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2

Python high performance

par Lanaro, Gabriele.
Publié 2017

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E-Book

3

Hands-on Blockchain for Python developers : gain blockchain programming skills to build decentralized applications using Python

par Kok, Arjuna Sky.
Publié 2019

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E-Book

4

Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV

par Minichino, Joe.
Publié 2015

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5

OpenCV with Python Blueprints : design and develop advanced computer vision projects using OpenCV with Python

par Beyeler, Michael, 1981-
Publié 2015

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6

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

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7

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python

par Raschka, Sebastian.
Publié 2016

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8

Learning robotics using Python : design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

par Lentin, Joseph.
Publié 2018

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9

Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide

par Lott, Steven F.
Publié 2015

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10

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

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11

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

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12

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

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13

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

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14

Interactive applications using Matplotlib : don't just see your data, experience it!

par Root, Benjamin V., 19..-
Publié 2015

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15

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

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16

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

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17

Kivy : interactive applications and games in Python : create responsive cross-platform UI/UX applications and games in Python and using the open source Kivy library

par Ulloa, Roberto.
Publié 2015

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18

Kivy : interactive applications in Python : create cross-platform UI/UX applications and games in Python

par Ulloa, Roberto.
Publié 2013

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19

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow

par Gulli, Antonio.
Publié 2017

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20

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

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21

Practical Maya programming with Python : unleash the power of Python in Maya and unlock your creativity

par Galanakis, Robert.
Publié 2014

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22

Python data science essentials : a practitioner's guide covering essential data science principles, tools and techniques

par Boschetti, Alberto.
Publié 2018

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23

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

par Rossant, Cyrille, 1985-
Publié 2014

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24

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy

par Idris, Ivan.
Publié 2012

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25

Python 3 object oriented programming : harness the power of Python 3 objects

par Phillips, Dusty.
Publié 2010

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