LinkedIn

Python Lists Vs. NumPy: Estimating PI using Monte Carlo method

Python random and Python NumPy modules will be used to estimate PI using Monte Carlo method. This article aims to compare the time need by each module to complete the same operations, showing the ...
Analytics Insight

Data Analysis with Python: Using Pandas, NumPy, and Matplotlib

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...
GitHub

pi_numpy_parallel_worker.py

estimate_inside_quarter_unit_circle = (xs * xs + ys * ys) <= 1 nbr_trials_in_quarter_unit_circle = np.sum(estimate_inside_quarter_unit_circle) return nbr_trials_in ...
GitHub

pi_numpy_serial_blocks.py

estimate_inside_quarter_unit_circle = (xs * xs + ys * ys) <= 1 nbr_trials_in_quarter_unit_circle = np.sum(estimate_inside_quarter_unit_circle) return nbr_trials_in ...
IEEE

Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas

Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential ...
Nature

Array programming with NumPy

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array ...