Learn IT - Books tags numpy

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

Packt Publishing, 2018

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...

Python Data Analytics: With Pandas, NumPy, and Matplotlib

Apress, 2018

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.

This revision is fully updated with new content on social media data analysis, image...

Python High Performance Programming

Packt Publishing, 2013

If you have at least a basic knowledge of Python, this book will help you maximize the performance of your code and applications. Easy to follow tutorials will make you a hard act to follow in Python programming.

Overview

Identify the bottlenecks in your applications and solve them using the best...

Python Data Analysis

Packt Publishing, 2017

Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code

An easy-to-follow guide with realistic examples that are frequently used in real-world data...

Think Complexity: Complexity Science and Computational Modeling

O'Reilly, 2012

This book is inspired by boredom and fascination: boredom with the usual presentation of data structures and algorithms, and fascination with complex systems. The problem with data structures is that they are often taught without a motivating context; the problem with complexity science is that it is usually not taught at...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Beginning Python Visualization: Crafting Visual Transformation Scripts

Apress, 2014

We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of...

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

O'Reilly, 2017

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

QUANTUM COMPUTING WITH PYTHON: The new comprehensive guide to master applied artificial intelligence in Physics. Learn Machine Learning and computer programming with a complete crash course

Independent Publishers Group, 2021

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"Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning"

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Learning IPython for Interactive Computing and Data Visualization

Packt Publishing, 2013

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.

Overview

A practical step-by-step tutorial which will help you to replace the...

NumPy Cookbook

Packt Publishing, 2012

We, NumPy users, live in exciting times. New NumPy-related developments seem to come to our attention every week or maybe even daily. When this book was being written, NumPy Foundation of Open Code for Usable Science was created. The Numba project—NumPy-aware, dynamic Python compiler using LLVM—was announced. Also,...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

O'Reilly, 2018

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

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