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#### 1Top 15 Python Libraries for Data Science in 2017 – ActiveWizards: machine learning company – Medium

As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent…
2 months ago by @achakraborty
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#### 1Algorithms

Algorithms, an international, peer-reviewed Open Access journal.
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#### 1Numerical Algorithms

Presents original and review papers on all aspects of numerical algorithms Coverage includes new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines and applications Also provides book reviews and announcements of scientific meetings The journal Numerical Algorithms presents original and review papers on all aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines and applications. Papers on computer algebra related to obtaining numerical results also included. The journal offers high quality papers containing material not published elsewhere. The journal also provides book reviews and announcements of scientific meetings.
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#### 1Procedure to produce discretized path composed by semi-circle and straigth sub-paths

Some problems founds in teaching physics related to curved paths that are unfortunately only described as illustration. A simple way to introduce the path is presented, which can help students to test their concept numerically. The procedure is limited into semi-circle and straight sub-paths. Smaller discretizing width \$\Delta{}s\$ gives better form of the produced path.
6 years ago by @eufisica
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#### 1How to Use and an Example in Calculating Work of Friction along Curved Path

A program called SCSPG (Semi-Circle Segmented Path Generator) is presented in this report. How it works is described and an example of it is illustrated using a case of work of friction along a curved path. As a benchmark for the program, work of friction along straight path is calculated and then compared to theoretical prediction.
6 years ago by @eufisica
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#### 1OpenOpt framework - universal numerical optimization package

We focus on scientific/engineering software development using RAD abilities of Python language, accompanied with free scientific libraries such as NumPy and SciPy. Our mainstream research activity is numerical optimization, including nonsmooth optimization and solving systems of nonlinear equations. OpenOpt framework - universal numerical optimization package with several own solvers (e.g. ralg) and connections to tens of other, graphical output of convergence and many other goodies FuncDesigner - tool to rapidly build functions over variables/arrays and get their derivatives via automatic differentiation. Also, you can perform integration, interpolation, solve systems of linear/nonlinear/ODE equations and numerical optimization problems coded in FuncDesigner by OpenOpt (see some examples in its doc), uncertainty analysis and interval analysis DerApproximator - tool to get (or check user-supplied) derivatives via finite-difference approximation SpaceFuncs - tool for 2D, 3D, N-dimensional geometric modeling with possibilities of parametrized calculations, numerical optimization and solving systems of geometrical equations
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#### 17SciPy

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
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#### 2MATLAB - Technical Computing

MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numerical computation. Using MATLAB, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
7 years ago by @schmidt2
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#### 14GNU Octave

GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab.
7 years ago by @schmidt2
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#### 1Lernfähige Bedienerassistenz für Verarbeitungsmaschinen: Situationsgerechte Ausgabe von Hinweisen zur nachhaltigen Beseitigung von Störungen

, , and . Industrie 4.0 Management 33 (4): 25--28 (2017)
8 days ago by @flint63
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#### 1The impact of relative residence times on the distribution of heavy drinkers in highly distinct environments

Socio-Economic Planning Sciences 44 (1): 45-56 (2010)
14 days ago by @ccchavez
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#### 1Optimal control intervention strategies in low- and high-risk problem drinking populations

, , and . Socio-Economic Planning Sciences 44 (4): 258-265 (2010)
14 days ago by @ccchavez
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#### 1Towards a Quantitative Science of Sustainability

Bulletin of Mathematical Biology 77 (2): 254-258 (2014)
14 days ago by @ccchavez
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#### 1Deep Learning: A Practitioner's Approach

, and . O'Reilly, Beijing, (2017)
15 days ago by @flint63
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#### 1Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces

, and (Eds.). . Springer, New York, (2012)
24 days ago by @flint63
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#### 1POMDP-Based Statistical Spoken Dialog Systems: A Review

Proceedings of the IEEE 101 (5): 1160--1179 (May 2013)
24 days ago by @flint63
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#### 1Statistical Dialogue Modelling

Department of Engineering, University of Cambridge, Cambridge, UK, PhD thesis, (January 2011)
25 days ago by @flint63
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#### 4Opening the Black Box of Deep Neural Networks via Information

, and . Computing Research Repository (CoRR) (March 2017)
26 days ago by @flint63
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#### 1Incremental Knowledge Base Construction Using DeepDive

VLDB Journal 26 (1): 81--105 (February 2017)
2 months ago by @flint63
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