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Blender 2.49 Scripting

Blender 2.49 Scripting Image
The focus of the book is on practical problems and how to solve them in Python. The examples given are useful programs that try to solve real-world needs. Each chapter revolves around a single concept giving several examples gradually growing in difficulty. Each section analyses the problem first before diving into coding and gives extensive background information to enable the reader to generalize from the specific problem to a wider range of challenges. The sample code is provided as fully working examples with all key issues extensively highlighted. All sample programs are clear and concise yet nothing essential is left out and the programming style focuses on readability rather than on stylistic rigor or efficiency. This book is for users comfort...

Twisted

Network Programming Essentials
Twisted Image
Twisted Network Programming Essentials from O'Reilly is a task-oriented look at this new open source, Python-based technology. The book begins with recommendations for various plug-ins and add-ons to enhance the basic package as installed. It then details Twisted's collection simple network protocols, and helper utilities. The book also includes projects that let you try out the Twisted framework for yourself. For example, you'll find examples of using Twisted to build web services applications using the REST architecture, using XML-RPC, and using SOAP. Written for developers who want to start building applications using Twisted, this comprehensive guide presents examples of the most common tasks you'll face when building network applications. It als...

Python for Data Analysis

Python for Data Analysis Image
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary devel...


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