Numpy Cookbook Ivan Idris Pdf Download
Chapter 10: Predictive Analytics and Machine Learning A tour of scikit-learn 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 . Support FAQs Ordering Information Terms & Conditions Code Downloads & Errata Submit Errata . Mapt Subscribe Mapt For Business Take me to Mapt . Chapter 3: Statistics and Linear Algebra NumPy and SciPy modules Basic descriptive statistics with NumPy Linear algebra with NumPy Finding eigenvalues and eigenvectors with NumPy NumPy random numbers Creating a NumPy-masked array Summary . ISBN: 978-1-8495-1892-5. Pages: 226. Year: 2012. by Ivan Idris. Comments (1). 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 ..
NumPy Cookbook. Search . Chapter 7: Signal Processing and Time Series statsmodels subpackages Moving averages Window functions Defining cointegration Autocorrelation Autoregressive models ARMA models Generating periodic signals Fourier analysis Spectral analysis Filtering Summary . Chapter 8: Working with Databases Lightweight access with sqlite3 Accessing databases from pandas SQLAlchemy Pony ORM Dataset databases for lazy people PyMongo and MongoDB Storing data in Redis Apache Cassandra Summary . - Learn advanced Indexing and linear algebra - Know reshaping automatically - Dive into Broadcasting and Histograms - Profile NumPy code and visualize your profiling results - Speed up your code with Cython - Use the array interface to expose foreign memory to NumPy - Use universal functions and interoperability features - Learn about Matplotlib and Scipy which is often used in conjunction with NumPy. Chapter 2: NumPy Arrays The NumPy array object Creating a multidimensional array Selecting NumPy array elements NumPy numerical types One-dimensional slicing and indexing Manipulating array shapes Creating array views and copies Fancy indexing Indexing with a list of locations Indexing NumPy arrays with Booleans Broadcasting NumPy arrays Summary . Packt Publishing About Us Our Authors Trade & Partners Contact Us Careers .
kasaysayan ng asya pdf downloadsp 320 48 pdf downloadmarine fire fighting pdf downloadmadarij al salikeen urdu pdf downloadd&d 3.5 fiendish codex pdf downloadspanning tree protocol pdf downloadsimcity 5 prima guide pdf downloadteach yourself programming in ten years pdf downloaddownload do livro o desafio de amar pdf to exceldatabase modeling and design logical design pdf download