Showing results for "michael heydt"

Untangle your web scraping complexities and access web data with ease using Python scriptsKey FeaturesHands-on recipes for advancing your web scraping skills to expert levelOne-stop solution guide to address complex and challenging web scraping tasks using PythonUnderstand web page structures and collect data from a website with easeBook DescriptionPython Web Scraping Cookbook is a solution-focused book that will teach you te...

Key FeaturesBook DescriptionIf you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.What you will learnModeling and manipulating financial data using the pandas DataFrameInde...

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discoveryKey FeaturesGet comfortable using pandas and Python as an effective data exploration and analysis toolExplore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis processA comprehensive guide to pandas with many of clear and practical examples to...

Key FeaturesBook DescriptionIf you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.What you will learnWho this book is for

Turn your raw data into real knowledge by creating and deploying complex data visualizations with D3.jsAbout This BookUnderstand how to best represent your data by developing the right kind of visualizationExplore the concepts of D3.js through examples that enable you to quickly create visualizations including charts, network diagrams, and mapsGet practical examples of visualizations using real-world data sets that show you how t...

Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions.Key Features\[\*\]Want to minimize risk and optimize profits of your business? Learn to create efficient analytical reports with ease using this highly practical, easy-to-follow guide.\[\*\]Learn to apply Python for business intelligence tasks—preparing, exploring, analyzing, visualizing and reporting—in order to...

This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.You will need to ...

Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, bio...

Understand, evaluate, and visualize dataAbout This BookLearn basic steps of data analysis and how to use Python and its packagesA step-by-step guide to predictive modeling including tips, tricks, and best practicesEffectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visuali...

Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPyKey Features\[\*\] Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib\[\*\]Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more\[\*\]A must-have book if you're looking to solve your data-related problems using SciPy, on-the-goBook D...

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building ...

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.