Foundational Python for Data Science

Behrman, Kennedy

  • 出版商: Addison Wesley
  • 出版日期: 2021-10-07
  • 售價: $1,560
  • 貴賓價: 9.5$1,482
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0136624359
  • ISBN-13: 9780136624356
  • 相關分類: PythonData Science
  • 立即出貨 (庫存 < 3)


Data science and machine learning - two of the world's hottest fields - are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning.

Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you've learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving.

Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more - all created with colab (jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.



領先的數據科學教師和從業者Kennedy Behrman首先介紹了使用Python和Jupyter筆記本進行初次編程的過程,然後介紹了每個Python數據科學程序員都需要掌握的關鍵庫。一旦掌握了這些基礎知識,Behrman還介紹了中級和應用Python技術,用於解決現實世界的問題。



Kennedy Behrman is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes.


Kennedy Behrman是一位資深的軟體和資料工程師。他最初在視覺效果行業中使用Python編寫資產管理系統。然後,他轉向創業界,在使用機器學習對視頻進行特徵化和預測運動員社交媒體影響力的初創公司中使用Python。