Advanced Python Books

Mastering Python: Machine Learning, Data Structures, Django, Object Oriented Programming and Software Engineering (Including Programming Interview Questions) [2nd Edition]

Unlike some guides that give you just the basics that you need to get started, this book teaches you everything you need to know about using Python including what you can use it for. Python is a diverse language and is the foundation of much of what we use in the world today. Most data applications, many websites …

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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key Features Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and more Build, deploy, and scale end-to-end deep neural network models in a production environment …

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Python Deep Learning Projects: Investigate and Implement Deep Learning Architectures for building intelligent systems

Insightful practical projects to master deep learning and neural network architectures using Python, Keras and MXNetKey FeaturesRich projects on computer vision, NLP, and image processingBuild your own neural network and explore innumerable possibilities with deep learning Explore the power of Python for deep learning in various scenarios using insightful projectsBook DescriptionDeep Learning has quietly revolutionized every field of …

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Frequently Asked Interview Questions : Advance Python

I have only recently started consolidating the interview questions for Advance Python in e-book format. It is also my attempt at consolidating my learning over the years of Python so everyone can enrich from it including myself. ;)I will only be covering latest version of python which at the time of writing is 3.7.0.> **!!! NOTE !!!**:> **Current …

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Learning Programming High Level With Python

Learning Programming High Level With Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You’ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. …

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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build sophisticated predictive modelsBook DescriptionSocial Media and …

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Python Tricks: A Buffet of Awesome Python Features

“I don’t even feel like I’ve scratched the surface of what I can do with Python” With Python Tricks: The Book you’ll discover Python’s best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. You’ll get one step closer to mastering Python, so you can write beautiful and idiomatic code that …

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Python Deep Learning Cookbook

Key FeaturesOver 100 recipes on mathematical theory of each deep learning algorithm , its implementation and a bunch of related techniques for using themProvides explanation with examples covering deep learning algorithms using popular python frameworks like TensorFlow, Caffe, Keras, TheanoYour ideal companion to train models involving neural networks problem and tuning it for a completely different problem, and …

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Complex Network Analysis in Python: Recognize – Construct – Visualize – Analyze – Interpret

Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network–such as recommendations on co-using cosmetic …

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