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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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Industrial IoT what GE says to improve Productivity

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GE is once a top company in Heavy Engineering. This is to say items related to Thermal Power plants, Turbines, and maintenance.

GE had always believed that since it knew the materials and the physics of its jet engines and medical scanners, no one could best it in understanding those machines.

GE Industrial Internet

 The aim is it should not share its data to third parties.
  1.    GE sets up its own IoT center.
  2.    GE is in IoT mood.
  3.    GE can improve operational efficiency by studying data from its machines like situated India and Russia. This is just an example.
Asset classification in analytics

 GE is Targetting for Predictive Maintenace

  • Improves industrial productivity
  • Based on criticality productivity will zoom if maintenance carried in-time.

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