Python Recipes Handbook: A Problem-Solution Approach
Autor Joey Bernarden Limba Engleză Paperback – 8 noi 2016
Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages.
What You'll Learn
- Code with the pandas (Python Data Analysis Library)
- Work with the various Python algorithms useful for today's big data analytics and cloud applications
- Use NumPy and other numerical Python packages and code for doing various kinds of analysis
- Discover Python's new popular modules, packages, extensions and templates library
This handy reference is for those with some experience with Python.
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Specificații
ISBN-13: 9781484202425
ISBN-10: 1484202422
Pagini: 600
Ilustrații: XXXII, 123 p. 1 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.23 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484202422
Pagini: 600
Ilustrații: XXXII, 123 p. 1 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.23 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Public țintă
Popular/generalCuprins
1 - Strings and Text.- 2 - Numbers, Dates and Times.- 3 - Iterators and Generators.- 4 - Files and I/O.- 5 - Python Data Analysis with pandas.- 6 - Functions.- 7 - Classes and Objects.- 8 - Metaprogramming.- 9 - Networking and Internet.- 10 - Modules and Packages.- 11 - Numerics and Numpy.- 12 - Concurrency.- 13 - Utilities.- 14 - Testing and Debugging.- 15 - C and Other Extensions.- 16 - Arduino and RPi Recipes.
Notă biografică
Joey Bernard has written several articles for Linux Journal and Linux User and Developer, and currently has a regular column in each magazine. His day job, with ACENET and Compute Canada, has him helping university researchers with all of their computational work. This job has let him make use of both his physics degree and his computer science degree. A leader ensures that he doesn't spend all of his time indoors.
Caracteristici
Learn how to code with the new pandas (Python Data Analysis Library) Learn how to code with Python algorithms useful for today's big data analytics and cloud applications Learn how to code with NumPy and other numerical Python packages and code for doing various kinds of analysis