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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 ...

Real thoughts on IBM power8 servers to use on analytics

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IBM Servers International Business Machines Corp, in its latest attempt at reviving demand for its hardware products, is launching high-end system servers that it says are 50 times faster than its closest competitor at analysing data.  The POWER8 servers , the product of a $2.4 billion, three-year investment, are part of the company's decade-long shift to higher-value hardware technology.    IBM  said the machines are 50 times faster than the low-end x86-based servers it sold to Chinese PC maker  Lenovo  Group Ltd in January.  The technology services provider said on Wednesday it hopes the servers, designed for large-scale computing, will appeal to clients looking to manage new types of social and mobile computing and mass amounts of data. Last week, the company reported its lowest quarterly revenue in five years, weighed down by falling demand for its storage and server products. IBM dominates the higher-end server market with 57 percent ...