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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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2 Top Skills You Need For E-commerce

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The following skills are must for every data analytics engineer to be successful in e-commerce companies. Many software engineers are struggling to get this information. I am giving here both technical and general skills.

skills e-commerce

1# Technical Skills for Analytics Career

What skills they need to be successful in their analytics career. The skills required to get an entry into the Analytics job are here for your reference.

I have told in my previous posts that there are many branches in analytics. You need to apply domesticated techniques to extract actionable knowledge.

2# General Skills

I have selected the following mindset and skills that you need to get a job in data analytics. These are proven skills. Set a clear goal to acquire these skills.
  1. Strong interpersonal, oral and written communication and presentation skills; 
  2. Ability to communicate complex findings and ideas in plain language 
  3. Being able to work in teams towards a shared goal; 
  4. Ability to change direction quickly based on data analysis; 
  5. Enjoying discovering and solving problems; 
  6. Proactively seeking clarification of requirements and direction; take responsibility when needed; 
  7. Being able to work in a stressful situation when insights in (new) data sets are required quickly.

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How to Fix datetime Import Error in Python Quickly

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Big Data: Top Cloud Computing Interview Questions (1 of 4)

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