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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth

Complete Videos of IBM Watson IoT

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Watson IoT is a set of capabilities that learn from, and infuse intelligence into, the physical world. The Internet of Things-generated data is growing twice as fast as social and computer-generated data, and it is extremely varied, noisy, time-sensitive and often confidential. You can learn quickly IBM watson for IoT quickly. Complexity grows as billions of devices interact in a moving world. This presents a growing challenge that will test the limits of programmable computing.  What is Cognitive IoT Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people.  It brings true machine learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them. References IBM Watson IoT videos 5 Challenges in internet of things Follow us on social media Facebook Twitter

Hadoop Skills Free Video Training

Are you interested in the world of Big data technologies, but find it a little cryptic and see the whole thing as a big puzzle. The hadoop free video training really useful to learn quickly. Are you looking to understand how Big Data impact large and small business and people like you and me? Do you feel many people talk about Big Data and Hadoop, and even do not know the basics like history of Hadoop, major players and vendors of Hadoop. Then this is the course just for you! This course builds a essential fundamental understanding of Big Data problems and Hadoop as a solution. This course takes you through: Understanding of Big Data problems with easy to understand examples. History and advent of Hadoop right from when Hadoop wasn’t even named Hadoop. What is Hadoop Magic which makes it so unique and powerful. Understanding the difference between Data science and data engineering, which is one of the big confusions in selecting a carrier or understanding a job role. And mos