Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou

  • 出版商: Packt Publishing
  • 出版日期: 2018-12-19
  • 定價: $1,650
  • 售價: 8.0$1,320
  • 語言: 英文
  • 頁數: 805
  • 裝訂: Paperback
  • ISBN: 1789953634
  • ISBN-13: 9781789953633
  • 相關分類: Python程式語言Data-mining
  • 立即出貨 (庫存=1)

商品描述

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

  • Use the power of Pandas and Matplotlib to easily solve data mining issues
  • Understand the basics of statistics to build powerful predictive data models
  • Grasp data mining concepts with helpful use-cases and examples

Book Description

Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.

You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.

By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.

This Learning Path includes content from the following Packt products:

  • Statistics for Machine Learning by Pratap Dangeti
  • Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim
  • Pandas Cookbook by Theodore Petrou

What you will learn

  • Understand the statistical fundamentals to build data models
  • Split data into independent groups
  • Apply aggregations and transformations to each group
  • Create impressive data visualizations
  • Prepare your data and design models
  • Clean up data to ease data analysis and visualization
  • Create insightful visualizations with Matplotlib and Seaborn
  • Customize the model to suit your own predictive goals

Who This Book Is For

If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.

商品描述(中文翻譯)

了解、探索並有效呈現資料,使用 Python 強大的資料視覺化技術

主要特點


  • 使用 Pandas 和 Matplotlib 的強大功能,輕鬆解決資料挖掘問題

  • 了解統計學基礎,建立強大的預測性資料模型

  • 透過實用案例和範例,掌握資料挖掘概念

書籍描述

資料挖掘,即解析資料以提取有用的洞察力,是一項可以改變您作為資料科學家職業生涯的專業技能。Python 是一種靈活的程式語言,配備了一套強大的函式庫和工具包,為您提供了完美的平台,以篩選您的資料並挖掘您所尋求的洞察力。本學習路徑旨在讓您熟悉 Python 函式庫和底層統計學知識,以便您對資料挖掘感到舒適。

您將學習如何使用 Pandas,Python 的流行函式庫,分析不同類型的資料,並利用 Matplotlib 的強大功能生成引人注目且令人印象深刻的視覺化效果,以呈現您所獲得的洞察力。您還將探索不同的機器學習技術和統計學,使您能夠建立強大的預測模型。

通過本學習路徑的學習,您將擁有完美的基礎,將您的資料挖掘技能提升到更高的水平,並為自己成為備受追捧的資料科學專業人員鋪平道路。

本學習路徑包含以下 Packt 產品的內容:


  • 《Statistics for Machine Learning》(作者:Pratap Dangeti)

  • 《Matplotlib 2.x By Example》(作者:Allen Yu、Claire Chung、Aldrin Yim)

  • 《Pandas Cookbook》(作者:Theodore Petrou)

您將學到什麼


  • 了解統計學基礎,建立資料模型

  • 將資料分割成獨立的群組

  • 對每個群組應用聚合和轉換

  • 創建引人注目的資料視覺化效果

  • 準備資料並設計模型

  • 清理資料以便進行資料分析和視覺化

  • 使用 Matplotlib 和 Seaborn 創建有洞察力的視覺化效果

  • 根據自己的預測目標自定義模型

適合閱讀對象

如果您想學習如何使用 Python 的許多函式庫從資料中提取有影響力的資訊並以引人入勝的視覺效果呈現,那麼這是您的理想學習路徑。只需具備基本的 Python 知識即可開始本學習路徑。