rleary.com
Branch Prediction and Why Clever Isn't Always Better - Ryan Leary
http://rleary.com/blog/branch-predictions-and-pipelining
Working on advancing mental healthcare at Qntfy. Data science and visualization enthusiast. January 05, 2014. Branch Prediction and Why Clever Isn't Always Better. Recently I was implementing a research prototype for locality-sensitive hashing using Python with NumPy. By writing a native library (more on that in another post). So I set off to write this function in C. The function, get mask, would take a bitfield represented as an n-bit integer,. And an n-length array of integers,. As arguments. The.
beneathdata.com
Visualizing My Location History with Python, Shapely, and Basemap - Beneath Data
http://beneathdata.com/how-to/visualizing-my-location-history
Tue 28 October 2014. Visualizing My Location History with Python, Shapely, and Basemap. The vast majority of us carry a little GPS device in our pockets all day long, quietly recording our location. But location is more than just latitude and longitude; it can tell us about our speed, our direction, our activities, and frankly our lives. Some people regard this as terrifying, but I see a wonderful dataset. But after Latitude's demise. To follow this post, you'll need a bunch of Python packages. If you've...
abelardresearch.com
abelard | Abelard Lindsay's CILTEP, Nootropics and Brain Hacking Blog
http://www.abelardresearch.com/author/abelard
Abelard Lindsay's CILTEP, Nootropics and Brain Hacking Blog. About Me / Contact. All posts by abelard. Maganese and Alpha Synuclein Research. August 5, 2016. Peres, T. V., Parmalee, N. L., Martinez-Finley, E. J., and Aschner, M. (2016). Untangling the Manganese-α-Synuclein Web. Front. Neurosci. Frontiers in Neuroscience. 10 doi:10.3389/fnins.2016.00364. The metals that cause alpha-synuclein to tangle up and cause disease are aluminum, copper, cadmium, iron, manganese, and zinc ( Paik et al., 1999. Weight...
gulon.co.uk
Python | Gulon.co.uk
http://www.gulon.co.uk/category/python
The general ramblings of a python ninja. Skip to primary content. Skip to secondary content. Posts regarding the Python programming language. June 4, 2015. The below image is a collage of 48 individual images of the same Mandelbrot set. Drawn six different ways with eight different colour palettes. A collage of Mandelbrot set images using different colour palettes and drawing techniques. Anywho, they were generated by me using a custom Python. Algorithm. I may well package this up with a GUI. May 12, 2015.
python-kurse.de
Numerisches Python: Einführung in Numpy
http://www.python-kurse.de/numpy.php
Numerische Operationen auf Arrays. Das Buch zur Webseite. Im Hanser-Verlag ist ein Python-Buch von Bernd Klein, dem Autor dieser Webseite, erschienen:. NumPy ist nicht eine weitere Programmiersprache sondern ein Erweiterungsmodul von Python. Es bietet schnelle und effiziente Operationen auf Arrays von homogenen Daten. NumPy erweitert Python in eine höhere Programmiersprache zur Manipulation von numerischen Daten, ähnlich wie MATLAB. Mit freundlicher Unterstützung von:. We can only see a short distance ah...
python-para-impacientes.blogspot.com
Python 3 para impacientes: Threading: programación con hilos (y II)
http://python-para-impacientes.blogspot.com/2016/12/threading-programacion-con-hilos-y-ii.html
Python 3 para impacientes. Simple es mejor que complejo" (Tim Peters). Viernes, 30 de diciembre de 2016. Threading: programación con hilos (y II). Es un tipo de hilo especial que permite ajustar el comienzo de su ejecución con un tiempo de espera. Además, mientras transcurre este tiempo de espera es posible cancelar su ejecución. Un temporizador es un objeto de la subclase Timer. Que deriva de la clase Thread. Y como sucede con sus ancestros admite el paso de argumentos:. Por otro lado, el método wait().
github.com
GitHub - etal/cnvkit: Copy number variant detection from targeted DNA sequencing
https://github.com/etal/cnvkit
Copy number variant detection from targeted DNA sequencing. Http:/ cnvkit.readthedocs.org. Use Git or checkout with SVN using the web URL. Aug 24, 2016. Resurrect cnn updater.py script. Failed to load latest commit information. Cnary: privatize the method guess average depth. Aug 24, 2016. Data: GRCh37 mitochondrial chromosome is named "MT", not "M". Mar 21, 2016. Use conda travis env grid for CI (. May 16, 2016. Doc: start FAQ at end of quickstart page. Jul 19, 2016. Apr 27, 2016. Jul 17, 2014. Report s...
src.pyarab.com
العلوم والحسابات | مصادر بايثون
http://www.src.pyarab.com/applications/scientific-and-numeric.html
محطة واحدة لحلول وموارد البرمجة بلغة بايثون، كل شيء عن بايثون. تعد بايثون الخيار الأمثل للبرمجة في مجال العلوم والحسابات فالمكتبات مثل NumPy ،SciPy ،Pandas ،matplot ،IPython تجعل من حل المشكلات امر سهل، بايثون إتجهت الى هذا المجال بوتيرة سريعة. مكتبة بايثون لعلوم الفلك. مجموعة من التعليمات البرمجية المفيدة المتعلقة بالتحليل البيولوجي. من أهم وأفضل المكتبات للحوسبة العلمية. مكتبة عالية الاداء وسهلة الإستخدام في مجال تحليل البيانات. مكتبة مختصة في الرموز الرياضية. تم إنشاء هذا الموقع ل.
icubchess.blogspot.com
icubchess: Robust Chessboard Recognition, Part 1: Some Tools
http://icubchess.blogspot.com/2014/08/robust-chessboard-recognition-part-1.html
Tuesday, August 12, 2014. Robust Chessboard Recognition, Part 1: Some Tools. Raw image of chessboard from iCub's left eye. In order for the iCub to play chess, it first needs to see the board. For eyes, the iCub has two Dragonfly cameras. To find the chessboard, we will use computer vision techniques to extract information about the image. We could use more advanced techniques, such as neural nets. Image of chessboard after removing lens distortion. On our raw image and be done with the chessboard recogn...
tutoriels-data-mining.blogspot.com
Tutoriels Tanagra pour le Data Mining et le Data Science: Python - La distribution Anaconda
http://tutoriels-data-mining.blogspot.com/2015/08/python-la-distribution-anaconda.html
Tutoriels Tanagra pour le Data Mining et le Data Science. Mise à niveau SISE. Vendredi 7 août 2015. Python - La distribution Anaconda. Arrivé à ce stade de mon cours (cf. les séances précédentes), je souhaitais l’orienter vers le calcul scientifique, en particulier la programmation statistique. J’avais identifié quelques packages comme les incontournables numpy. D’autres également avaient attiré mon attention, pandas. Et je l’ai trouvée en Anaconda. Là également avec des fonctionnalités supplémentaires.
