We are officially in our 33rd year of broadcasting,

starting our journey on 23rd February 1991

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We hope to see you at our Anniversary

Saturday 13th July 2024

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Java NIO, PyTorch, SLF4J, Parallax Scrolling, Java Cryptography, YAML, Python Data Science, Java i18n, GitLab, TestRail, VersionOne, DBUtils, Common CLI, Seaborn I recently joined Cloudera after working in computational biology/genomics for close to a decade. My analytical work is primarily performed in Python, along with its fantastic scientific stack. It was quite jarring to find out that the Apache Hadoop ecosystem is primarily written in/for Java. So my This free book takes you through the basic concepts behind Hadoop, MapReduce, Pig, and Spark. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools. - free book at FreeComputerBooks.com - download here Learn how to use Python in streaming MapReduce operations. Apache Hadoop provides a streaming API for MapReduce that enables you to write map and reduce functions in languages other than Java. The steps in this document implement the Map and Reduce components in Python. Prerequisites OpenCV-Python Tutorials. Docs Let's capture a video from the camera (I am using the in-built webcam of my laptop), convert it into grayscale video and display it. Just a simple task to get started. To capture a video, you need to create a VideoCapture object. Its argument can be either the Learn Python tutorial for Begineers from experts with hands on exercises. In this Python 3 programming we explain in simple and easy way starting from basics to advance level with examples including Python Syntax, datatypes, variables, operators, type conversions and many more. Hadoop MapReduce Tutorial. Hadoop MapReduce is a programming paradigm at the heart of Apache Hadoop for providing massive scalability across hundreds or thousands of Hadoop clusters on commodity hardware. The MapReduce model processes large unstructured data sets with a distributed algorithm on a Hadoop cluster. This tutorial is the continuation of Hadoop Tutorial 1 -- Running WordCoun

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