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Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Gain useful insights from your data using popular data science tools

Key Features

  • A one-stop guide to Python libraries such as pandas and NumPy
  • Comprehensive coverage of data science operations such as data cleaning and data manipulation
  • Choose scalable...
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...
Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
Raspbian OS Programming with the Raspberry Pi: IoT Projects with Wolfram, Mathematica, and Scratch
Raspbian OS Programming with the Raspberry Pi: IoT Projects with Wolfram, Mathematica, and Scratch
Master the command line and Raspbian Linux as well as the physical connections of the Pi. With this book you’ll develop skills applicable to other real world applications in both hardware and software development all while working on simple and fun IoT projects that you can do yourself.

You'll learn to build
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Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

Key Features

  • Create and share interactive documents with live code, text and visualizations
  • Integrate popular programming languages such as Python, R, Julia, Scala...
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
  • ...
The Math Problems Notebook
The Math Problems Notebook
The Math Problems Notebook is a collection of nontrivial, unconventional problems requiring deep insight and imagination reminiscent of those discussed at Sunday Math Circles. These circles have become a place for disseminating beautiful mathematics at an elementary level for college students who have a common passion for mathematics....
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
Spark for Python Developers
Spark for Python Developers

Key Features

  • Set up real-time streaming and batch data intensive infrastructure using Spark and Python
  • Deliver insightful visualizations in a web app using Spark (PySpark)
  • Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science
Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science

Key Features

  • This book contains recipes on how to use Apache Spark as a unified compute engine
  • Cover how to connect various source systems to Apache Spark
  • Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines

Book...

Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
All students need to master a variety of mathematical tools and concepts at the start of their university career. This distinctive book helps students learn these by doing. The approach is interactive, using experiments, performed in the symbolic algebra package Mathematica, to impart the fundamentals of many of the topics students encounter. A...
SQL Primer: An Accelerated Introduction to SQL Basics
SQL Primer: An Accelerated Introduction to SQL Basics

Modern society is driven by data. Whether it is at a personal level, like a notebook containing scribbled notes; or at a countrywide level like Census data, it has permeated all our workflows. There is always a growing need to efficiently store and organize it so that meaningful information can be extracted out of raw data.

A
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