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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 ...
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Real Opportunities to Get a Job in Data Analytics

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In my recent analysis, I have found that a lot of jobs will be created in big data analysis area. I have listed the real opportunities here. I have collected a few of the things, and I am sharing with you.

Opportunities ahead to get a job 

  • The huge volume of data created by users from multiple devices in a variety of formats. 
  • Need specialized skills to analyze the data, and to get predictive results.
  • The tools developed by SAP, IBM, and Oracle provide multiple opportunities to start a career in data analytics. 

 Video on job opportunities


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