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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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Data science these IT skills you need to learn to get job

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The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop.

Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled.
In demand IT skills
Image Courtesy|Stockphotos.io
Great in demand it skills...
  1. Big Data (Information Technology): 3,977%
  2. Node.js (Design): 2,493%
  3. Tableau (Research and Analysis): 1,581%
  4. NoSQL (Information Technology): 1,002%
  5. Apache Hadoop (Information Technology): 704%
  6. HTML5 (Information Technology): 612%
  7. Python (Research and Analysis): 456%
  8. Oracle (Sales): 382%
  9. JSON (Information Technology): 318%
  10. Salesforce CRM (Sales): 292%

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