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Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition
Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

  • Perform complex bioinformatics analysis using the most important Python libraries and applications
  • Implement next-generation sequencing,...
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
Python Power!: The Comprehensive Guide
Python Power!: The Comprehensive Guide
Welcome to the world of Python! Within this book, you will find a complete introduction to the language, including insider tips and tricks, and basic knowledge that you will need to get started. If you are a beginning Python programmer, you will find enough here to get you going. If you are an experienced Python programmer, you will likely find a...
Python Phrasebook (Developer's Library)
Python Phrasebook (Developer's Library)

I was excited when my editor asked me to write a phrasebook on the Python language. The phrasebook is one of the smallest books I have ever written; however, it was one of the hardest.

The idea of a conventional phrasebook is to provide readers with quick phrases that actually mean something in the language. The Python
...

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Pro Python System Administration
Pro Python System Administration

Pro Python System Administration, Second Edition explains and shows how to apply Python scripting in practice. It will show you how to approach and resolve real-world issues that most system administrators will come across in their careers. This book has been updated using Python 2.7 and Python 3 where appropriate....

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Introduction to Design Patterns in C++ with Qt (2nd Edition)
Introduction to Design Patterns in C++ with Qt (2nd Edition)

I still remember how I first got to know C++ and Qt. It was around 15 years ago while working on my diploma thesis. Most of the development we did at that time was done in Fortran and C. I was working on a Linux system with FVWM as a window manager. One day I read an article about KDE—a cool, new open source project...

Programming in Python 3: A Complete Introduction to the Python Language (2nd Edition)
Programming in Python 3: A Complete Introduction to the Python Language (2nd Edition)

Python is probably the easiest-to-learn and nicest-to-use programming language in widespread use. Python code is clear to read and write, and it is concise without being cryptic. Python is a very expressive language, which means that we can usually write far fewer lines of Python code than would be required for an equivalent application written...

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Pro Python System Administration
Pro Python System Administration

As time goes on, system administrators are presented with increasingly complicated challenges. In the early days, a team of engineers might have had to look after one or two systems. These days, one engineer can administer hundreds or thousands of systems.

System administrators are gradually replacing their tools with more advanced...

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