Programming Python 作者:Mark Lutz 出版社:O'Reilly Media 副标题:4th edition 出版年:2011-1-10 页数:1632 定价:USD 64.99 装帧:Paperback ISBN:9780596158101 豆瓣评分 8.0 27人评价 5星 29.6% 4星 51.9% 3星 14.8% 2星 3.7% 1星 0.0% 评价:
Already the industry standard for Python users, ProgrammingPython fromO'Reilly just got even better. This third edition has been updated toreflect current best practices andthe abundance of changes introduced by the latest version of thelanguage, Python 2.5. Whether you're a novice or an advanced...
Building Map::Tube::<*> maps, a HOWTO: first steps Apr 21, 2025 byPaul Cochrane tutorials First steps at how to build your own Map::Tube::<*> map Read it Enhancing Your MIDI Devices: Round II Apr 9, 2025 byGene Boggs development ...
Programming Stackless PythonCameron Laird
is a great visualization tool. It provides multiple packages such as ggplot2, ggvis, and plotly with which we can create stunning visualizations. This is also one of the major reasons why people learn R Programming. When it comes todata visualization in Ris far ahead when compared to Python....
If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you'll learn as you follow examples written in Python - the easy-to-learn language that has modul...
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Learning Data Science Using Functional Python (video,slides), Joel Grus, PyData Seattle 2015. Other resources Video lectures (not free) Functional Programming with Python- by Christopher Armstrong, O'Reilly. Functional Programming in 7 days- by Mohammed Kashif, Udemy. ...
O'Reilly's How to make mistakes in Python Education of a Programmer: a developer's thoughts after 35 years in the industry. There's a particularly good section about design & complexity (see "the end to end argument", "layering and componentization"). Domain-driven design, Wikipedia. On ...