Python for Everybody

• Verfasst von: Taulien, Kalob [VerfasserIn]
• Titel: Python for Everybody
• Titelzusatz: The Ultimate Python 3 Bootcamp
• Institutionen: Safari, an O’Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Taulien, Kalob
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Packt Publishing
• Jahr: 2020
• Umfang: 1 online resource (1 video file, approximately 9 hr., 16 min.)
• Fussnoten: Online resource; Title from title screen (viewed July 31, 2020)
• ISBN: 978-1-80056-219-6
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic videos ; local
• Sach-SW: Electronic videos
• K10plus-PPN: 1733127089
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3755925761
• Lokale URL Inst.: Zum Volltext

Abstract

Discover expert tips for using Python 3 effectively About This Video Get up and running with Python best practices Learn how to create Python programs Delve into Python modules and the third-party package ecosystem In Detail Python is one of the most sought-after skills in the software domain. Whether you want to delve into video game development, web development, or artificial intelligence, learning Python is an important step. Besides, if you’re new to programming, Python is the perfect language to get started with. This course focuses on Python 3 and uses modern Python 3.7 and Python 3.8. It is designed to support Python application development on Windows, macOS, and Linux. As Python 2 is no longer maintained by the Python development team, and there are no more security updates, the focus has now shifted to using Python 3. This course will guide you through concepts such as variables, data structures, conditionals, object-oriented programming (OOP), and the Python third-party package ecosystem. You will also get to grips with unit testing your code. As you progress, you’ll get hands-on experience by working through several mini projects such as creating an exciting guessing game. Finally, you’ll learn how to develop an image recognition application that can detect objects in photographs such as people, cars, bikes, and more. By the end of this course, you will be well-versed with Python 3 and be able to apply your skills in the real world.