Erscheinungsdatum: 11/2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Website Scraping with Python, Titelzusatz: Using BeautifulSoup and Scrapy, Autor: Hajba, Gabor Laszlo, Verlag: APRESS L.P. // Apress L.P., Imprint: aPress, Sprache: Englisch, Schlagworte: Internet // Programmierung // Programmiersprachen // COMPUTERS // Programming Languages // Python // Programmier // und Skriptsprachen // allgemein, Rubrik: Programmiersprachen, Seiten: 223, Abbildungen: Bibliographie, Herkunft: GROSSBRITANNIEN (GB), Informationen: Book, Gewicht: 376 gr, Verkäufer: averdo
From the creator of the popular website Ask a Manager and New York's work-advice columnist comes a witty, practical guide to 200 difficult professional conversations - featuring all-new advice! There's a reason Alison Green has been called "the Dear Abby of the work world". Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don't know what to say. Thankfully, Green does - and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You'll learn what to say when:Coworkers push their work on you - then take credit for itYou accidentally trash-talk someone in an email then hit "reply all"You're being micromanaged - or not being managed at allYou catch a colleague in a lieYour boss seems unhappy with your workYour cubemate's loud speakerphone is making you homicidalYou got drunk at the holiday partyPraise for Ask a Manager:"Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.” (Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together) 1. Language: English. Narrator: Alison Green. Audio sample: http://samples.audible.de/bk/rand/006125/bk_rand_006125_sample.mp3. Digital audiobook in aax.
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Web scraping (also called Web harvesting or Web data extraction) is a computer software technique of extracting information from websites. Usually, such software programs simulate human exploration of the Web by either implementing low-level Hypertext Transfer Protocol (HTTP), or embedding certain full-fledged Web browsers, such as the Internet Explorer (IE) and the Mozilla Web browser. Web scraping is closely related to Web indexing, which indexes Web content using a bot and is a universal technique adopted by most search engines. In contrast, Web scraping focuses more on the transformation of unstructured Web content, typically in HTML format, into structured data that can be stored and analyzed in a central local database or spreadsheet. Web scraping is also related to Web automation, which simulates human Web browsing using computer software. Exemplary uses of Web scraping include online price comparison, weather data monitoring, website change detection, Web research, Web content mashup and Web data integration.