Python Recipes Handbook (eBook)
XXXII, 123 Seiten
Apress (Verlag)
978-1-4842-0241-8 (ISBN)
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library.
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
Who This Book Is For
This handy reference is for those with some experience with Python.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.
Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. 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 LearnCode with the pandas (Python Data Analysis Library)Work with the various Python algorithms useful for today's big data analytics and cloud applicationsUse NumPy and other numerical Python packages and code for doing various kinds of analysisDiscover Python's new popular modules, packages, extensions and templates libraryWho This Book Is ForThis handy reference is for those with some experience with Python.
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.
1 - Strings and Text2 - Numbers, Dates and Times3 - Iterators and Generators4 - Files and I/O5 - Python Data Analysis with pandas6 - Functions7 - Classes and Objects8 - Metaprogramming9 - Networking and Internet10 - Modules and Packages11 - Numerics and Numpy12 - Concurrency13 - Utilities14 - Testing and Debugging15 - C and Other Extensions16 - Arduino and RPi Recipes
| Erscheint lt. Verlag | 8.11.2016 |
|---|---|
| Zusatzinfo | XXXII, 123 p. 1 illus. |
| Verlagsort | Berkeley |
| Sprache | englisch |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| Schlagworte | Data Analysis • numerical python • NumPy • Python • python data analysis library |
| ISBN-10 | 1-4842-0241-4 / 1484202414 |
| ISBN-13 | 978-1-4842-0241-8 / 9781484202418 |
| Haben Sie eine Frage zum Produkt? |
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