Foundational Python for Data Science

Behrman, Kennedy

商品描述

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.

商品描述(中文翻譯)

數據科學和機器學習是當今世界上最熱門的領域之一,吸引了來自各種技術、商業和文科背景的人才。Python是全球最受歡迎的編程語言,也是最流行的數據科學和機器學習語言。這是第一本專門為數百萬具有不同背景的人學習Python,以便用於數據科學和機器學習的指南。

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。

整本書都提供了實踐編程的練習、學習評估、案例研究等,並且所有的代碼示例都是使用colab(與Jupyter兼容)筆記本創建的,因此您可以在不安裝或配置任何軟件的情況下交互式地執行所有代碼示例。

作者簡介

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.

作者簡介(中文翻譯)

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。