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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
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Top IT Skills 2015

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IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%. Enterprise investments in storage will increase 36%, and for wireless and mobile, 35%.

IT spending for security technologies will increase 46% in 2015, with cloud computing increasing 42% and business analytics investments up 38%.

 Cloud computing initiatives are the most important project for the majority of IT departments today (16%) and are expected to cause the most disruption in the future. IDG predicts the majority of cloud computing’s disruption will be focused on improving service and generating new revenue streams.

 These and other key take-aways are from recent IDG Enterprise research titled Computerworld Forecast Study 2015. The goal of the study was to determine IT priorities for 2015 in areas such as spending, staffing and technology. 

 Computerworld spoke with 194 respondents, 55% of which are from the executive IT roles. 19% from mid-level IT, 16% in IT professional roles and 7% in business management.  You can find the results and methodology of the study here.

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