Tabla de Contenidos: “…""Chapter 5: Template Engines and Consolidate.js""""How to Use Template Engines""; ""app.engine()""; ""Uncommon Libraries""; ""Template Engine Choices""; ""Jade""; ""Haml.js""; ""EJS""; ""Handlebars.js""; ""Hogan.js Adapters""; ""Combyne.js""; ""Swig""; ""Whiskers""; ""Blade""; ""Haml-Coffee""; ""Webfiller""; ""Consolidate.js""; ""Summary""; ""Chapter 6: Parameters and Routing""; ""Parameters""; ""app.param()""; ""Routing""; ""app.VERB()""; ""app.all()""; ""Trailing Slashes""; ""Router Class""; ""router.route(path)""; ""Request Handlers""; ""Summary""; ""Chapter 7: Express.js Request Object""…”

Tabla de Contenidos: “…""Generate the Code Using a Tool""""Generating C/C++ Header Files Using javah""; ""Generating the JNI Code using SWIG""; ""Minimize the Number of JNI API Calls""; ""Use Primitive Data Types as Native Method Parameters""; ""Minimize Reach-Back from Native Code to Java Space""; ""Memory Usage""; ""Local References""; ""Never Cache Local References""; ""Release Local References in Complex Native Methods""; ""Dealing with Strings""; ""Use Proper Memory Management Function""; ""Operating on Arrays""; ""Do Not Request Unnecessary Array Elements""; ""Prevent Updating Unchanged Arrays""…”

Tabla de Contenidos: “…Preprocessing -- Classification with logistic regression -- Classification with support vector machines -- Regression with ElasticNetCV -- Support vector regression -- Clustering with affinity propagation -- Mean shift -- Genetic algorithms -- Neural networks -- Decision trees -- Summary -- Chapter 11: Environments Outside the Python Ecosystem and Cloud Computing -- Exchanging information with Matlab/Octave -- Installing rpy2 package -- Interfacing with R -- Sending NumPy arrays to Java -- Integrating SWIG and NumPy -- Integrating Boost and Python -- Using Fortran code through f2py -- PythonAnywhere Cloud -- Summary -- Chapter 12: Performance Tuning, Profiling, and Concurrency -- Profiling the code -- Installing Cython -- Calling C code -- Creating a process pool with multiprocessing -- Speeding up embarrassingly parallel for loops with Joblib -- Comparing Bottleneck to NumPy functions -- Performing MapReduce with Jug -- Installing MPI for Python -- IPython Parallel -- Summary -- Appendix A: Key Concepts -- Appendix B: Useful Functions -- Matplotlib -- NumPy -- Pandas -- Scikit-learn -- SciPy -- scipy.fftpack -- scipy.signal -- scipy.stats -- Appendix C: Online Resources -- Index…”

“…An overview of Java Native Interface (JNI), and auto-generating JNI code through Simplified Wrapper and Interface Generator (SWIG). An introduction to Bionic API, native networking. native multithreading, and the C++ Standard Template Library (STL) support. …”

“…Among them: IDLE, JYthon, Active Scripting and COM extensions, Zope, PSP server pages, restricted execution mode, the HTMLgen and SWIG code generators, thread support, CGI and Internet protocol modules. …”

“…He has also created several open-source packages including Swig, PLY, and Curio. He is a frequent speaker at PyCon. …”