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Python Deep Learning: Develop Your First Neural Network in Python Using Tensorflow, Keras, and Pytorch
Build your Own Neural Network today. Through easy-to-follow instruction and examples, you'll learn the fundamentals of Deep learning and build your very own Neural Network in …
Python von Kopf bis Fuß
Python Programming On Win32
Python is growing in popularity; based on download statistics, there are now over 450,000 people using Python, and more than 150,000 people using Python on Windows. Use of the …
Bioinformatics Programming in Python
This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous …
The Python Bible 3 in 1: Volumes One to Three (Beginner, Intermediate, Data Science)
Start Your Journey To Python Mastery Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of …
Python en licence
Cet ouvrage permet l’apprentissage du langage de programmation Python, assorti d’une initiation à l’algorithmique.Il se concentre sur la création d’interface, le calcul numérique …
Extending Power BI with Python and R
No detailed description available for "e;Extending Power BI with Python and R"e;.
Python Network Programming Techniques
Become well-versed with network programmability by solving the most commonly encountered problems using Python 3 and open-source packagesKey FeaturesExplore different Python …
Programmirovanie na Python dlja nachinajuschikh
Kniga "Programmirovanie na Python dlja nachinajuschikh" javljaetsja ischerpyvajuschim rukovodstvom dlja togo, chtoby nauchitsja programmirovat na jazyke Python.V etoj knige s …
Practical Maya Programming with Python
"Practical Maya Programming with Python" is a practical tutorial packed with plenty of examples and sample projects which guides you through building reusable, independent modules …
Hands-On Genetic Algorithms with Python
Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, …
