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IPython Interactive Computing and Visualization Cookbook
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

About This Book

  • Leverage the new features of the IPython notebook for interactive web-based big data analysis and visualization
  • Become an expert in high-performance...
Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
I have been working with the Python programming language for more than 15 years now. I have used it for a variety of tasks like automation, graphics, Internet of Things (IoT), and data science. I have found that it is a very good tool for generating scientific and data-driven business visualizations. It takes fewer lines of code...
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

Get to grips with the most popular Python packages that make data analysis possible

Key Features

  • Explore the tools you need to become a data analyst
  • Discover practical examples to help you grasp data processing concepts
  • Walk through hierarchical indexing...
Mastering Python High Performance
Mastering Python High Performance

Measure, optimize, and improve the performance of your Python code with this easy-to-follow guide

About This Book

  • Master the do's and don'ts of Python performance programming
  • Learn how to use exiting new tools that will help you improve your scripts
  • A step-by-step,...
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts
Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts
Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. 

Once the cluster is built, its power...
Python for Data Analysis
Python for Data Analysis

The scientific Python ecosystem of open source libraries has grown substantially over the last 10 years. By late 2011, I had long felt that the lack of centralized learning resources for data analysis and statistical applications was a stumbling block for new Python programmers engaged in such work. Key projects for data...

Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

  • Cover all fundamental libraries for operation and manipulation of Python for data analysis
  • Implement real-world datasets to perform predictive analytics with Python
  • ...
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will...
SciPy and NumPy: An Overview for Developers
SciPy and NumPy: An Overview for Developers
Python, a high-level language with easy-to-read syntax, is highly flexible, which makes it an ideal language to learn and use. For science andR&D, a few extra packages are used to streamline the development process and obtain goals with the fewest steps possible. Among the best of these are SciPy and NumPy. This book gives a brief...
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and...
OpenCV Computer Vision with Python
OpenCV Computer Vision with Python

This book will show you how to use OpenCVs Python bindings to capture video, manipulate images, and track objects with either a normal webcam or a specialized depth sensor, such as the Microsoft Kinect. OpenCV is an open source, cross-platform libran' that provides building blocks for computer vision experiments and applications. It...

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