Scikit-learn : Data Preprocessing II - Partitioning a dataset / Feature scaling / Feature Selection / Regularization Scikit-learn : Data Preprocessing I - Missing / Categorical data Scikit-learn : Machine Learning Quick Preview Scikit-learn : Features and feature extraction - iris dataset Machine Learning : Classification - k-nearest neighbors (k-NN) algorithm Machine Learning : Clustering - K-Means clustering II ![]() Machine Learning : Clustering - K-Means clustering I Image Reconstruction - Inpainting (Interpolation) - Fast Marching Methods Image segmentation - Foreground extraction Grabcut algorithm based on graph cuts ![]() Image object detection : Face detection using Haar Cascade Classifiers Image noise reduction : Non-local Means denoising algorithm Watershed Algorithm : Marker-based Segmentation II Watershed Algorithm : Marker-based Segmentation I Video Capture and Switching colorspaces - RGB / HSVĪdaptive Thresholding - Otsu's clustering-based image thresholdingĮdge Detection - Sobel and Laplacian Kernels Inverse Fourier Transform of an Image with low pass filter: cv2.idft() Signal Processing with NumPy II - Image Fourier Transform : FFT & DFT Signal Processing with NumPy I - FFT and DFT for sine, square waves, unitpulse, and random signal OpenCV 3 image and video processing with Python Sponsor Open Source development activities and free contents for everyone. IPython and Jupyter Notebook with Embedded D3.jsĭownloading YouTube videos using youtube-dl embedded with Python IPython and Jupyter - Install Jupyter, iPython Notebook, drawing with Matplotlib, and publishing it to Github Simple tool - Concatenating slides using FFmpeg. RabbitMQ(Message broker server) and Celery(Task queue). Neural Networks with backpropagation for XOR using one hidden layer įabric - streamlining the use of SSH for application deploymentĪnsible Quick Preview - Setting up web servers with Nginx, configure enviroments, and deploy an App įlask app with Apache WSGI on Ubuntu14/CentOS7. Removing Cloud Files - Rackspace API with curl and subprocessĬhecking if a process is running/hanging and stop/run a scheduled task on WindowsĪpache Spark 1.3 with PySpark (Spark Python API) Shellīottle 0.12.7 - Fast and simple WSGI-micro framework for small web-applications. Scheduled stopping and starting an AWS instanceĬloudera CDH5 - Scheduled stopping and starting services Uploading a big file to AWS S3 using boto module Simple tool - Google page ranking by keywords Python Unit Test - TDD using unittest.TestCase class Image processing with Python image library Pillow Python Network Programming IV - Asynchronous Request Handling : ThreadingMixIn and ForkingMixIn Python Network Programming III - Echo Server using socketserver network framework Python Network Programming II - Chat Server / Client Python Network Programming I - Basic Server / Client : B File Transfer Python Network Programming I - Basic Server / Client : A Basics REST API : Http Requests for Humans with Flask Web scraping with Selenium for checking domain availability Python HTTP Web Services - urllib, httplib2 MongoDB with PyMongo I - Installing MongoDB. Connecting to DB, create/drop table, and insert data into a table Priority queue and heap queue data structure Python Object Serialization - yaml and json Python Object Serialization - pickle and json Sets (union/intersection) and itertools - Jaccard coefficient and shingling to check plagiarismĬlasses and Instances (_init_, _call_, etc.)īits, bytes, bitstring, and constBitStream Strings - Escape Sequence, Raw String, and Slicingįormatting Strings - expressions and method calls Object Types - Numbers, Strings, and None Running Python Programs (os, sys, import) ![]() The interesting property of a heap is that its smallest element is always the root, $heap\left$. For the sake of comparison, non-existing elements are considered to be infinite. ![]() This implementation uses arrays for which $heap\left \le heap\left$ and $heap\left \le heap\left$ for all $k$, counting elements from zero. Heaps are binary trees for which every parent node has a value less than or equal to any of its children. This module provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. The heapq implements a min-heap sort algorithm suitable for use with Python's lists.
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