Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Paperback)

Hartl, Michael

  • 出版商: Addison Wesley
  • 出版日期: 2023-06-17
  • 售價: $1,600
  • 貴賓價: 9.5$1,520
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0138050953
  • ISBN-13: 9780138050955
  • 相關分類: FlaskPython程式語言Data Science
  • 立即出貨(限量) (庫存=1)

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商品描述

All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python

Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive.

Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don't care about. Soon, it'll be like you were born knowing this stuff--and you'll be suddenly, seriously dangerous.

Learn enough about . . .

  • Applying core Python concepts with the interactive interpreter and command line
  • Writing object-oriented code with Python's native objects
  • Developing and publishing self-contained Python packages
  • Using elegant, powerful functional programming techniques, including Python comprehensions
  • Building new objects, and extending them via Test-Driven Development (TDD)
  • Leveraging Python's exceptional shell scripting capabilities
  • Creating and deploying a full web app, using routes, layouts, templates, and forms
  • Getting started with data-science tools for numerical computations, data visualization, data analysis, and machine learning
  • Mastering concrete and informal skills every developer needs

Michael Hartl's Learn Enough Series includes books and video courses that focus on the most important parts of each subject, so you don't have to learn everything to get started--you just have to learn enough to be dangerous and solve technical problems yourself.

Like this book? Don't miss Michael Hartl's companion video tutorial, Learn Enough Python to Be Dangerous LiveLessons.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

商品描述(中文翻譯)

學習足夠的 Python,解決真實問題

Python 是世界上最受歡迎的程式語言之一,用於從 shell 腳本到網頁開發到數據科學的各種領域。因此,Python 是一門很好學的語言,但你不需要學習「所有東西」才能入門,只需要學會如何有效地使用它來解決真實問題。在《學習足夠的 Python,成為危險人物》中,著名教師 Michael Hartl 教授了你在專業上需要的具體概念、技能和方法。

即使你以前從未編程過,Hartl 也能幫助你快速建立技術素養,掌握你成功所需的知識。Hartl 將 Python 介紹為一門通用語言,也是網頁開發和數據科學的專業工具,並提供了有針對性的示例和練習,幫助你內化重要知識,而不浪費時間在專業人士不關心的細節上。很快,你會覺得你天生就懂這些東西,並且你將突然變得非常「危險」。

學習足夠的...

- 使用互動解釋器和命令行應用核心 Python 概念
- 使用 Python 的內建對象編寫面向對象的代碼
- 開發和發布自包含的 Python 套件
- 使用優雅而強大的函數式編程技巧,包括 Python 的推導式
- 通過測試驅動開發(TDD)構建和擴展新對象
- 利用 Python 強大的 shell 腳本功能
- 創建和部署完整的網絡應用,使用路由、佈局、模板和表單
- 開始使用數據科學工具進行數值計算、數據可視化、數據分析和機器學習
- 掌握開發人員所需的具體和非正式技能

Michael Hartl 的《學習足夠系列》包括書籍和視頻課程,專注於每個主題的最重要部分,因此你不需要學習所有內容才能入門,只需要學習足夠的知識,成為危險人物,自己解決技術問題。

喜歡這本書嗎?別錯過 Michael Hartl 的配套視頻教程《學習足夠的 Python,成為危險人物 LiveLessons》。

註冊你的書籍,以便方便地獲取下載、更新和/或更正。詳情請參閱書籍內部。

作者簡介

Michael Hartl created the legendary Ruby on Rails(TM) Tutorial that helped jumpstart thousands of web development careers. A cofounder and principal author at Learn Enough, Hartl previously earned a Ph.D. in physics at the California Institute of Technology (Caltech), where he received a Lifetime Achievement Award for Excellence in Teaching. He is also an alumnus Harvard University and the world-renowned Y Combinator entrepreneur program.

作者簡介(中文翻譯)

Michael Hartl創作了傳世的Ruby on Rails(TM)教程,幫助啟動了數千個網頁開發職業生涯。Hartl是Learn Enough的聯合創始人和主要作者,之前在加州理工學院(Caltech)獲得物理學博士學位,並因卓越教學而獲得終身成就獎。他也是哈佛大學和世界知名的Y Combinator企業家計劃的校友。