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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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RDBMS Vs NOSQL awesome differences to read now

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NoSQL and RDBMS or SQL are different from each other. You may ask what is the difference. Below explained in a way that you can understand quickly.

rdbms vs no sql

💡Traditional Database

  • A schema is required. All traditional data warehouses using RDBMS to store datamarts.
  • Databases understand SQL language. It has a specific format and rules to interact with traditional databases.
  • Less scalable. It has certain limitations. 
  • Expensive to make the databases as scalable
  • Data should be in a certain format.
  • Data stored in row format.

NoSQL database

The growing internet usage and involving a number of devices caused to invent databases that have the capability to store any kind of data.

NoSQL Special Features
  • The schema is not required. Ability to handle multiple data types. This is the power of NoSQL.
  • NoSQL is much suitable for analytical databases. Since those should be flexible, scalable, and able to store any formatted data.
  • The increased usage of web applications, the availability of broadband for the common man, caused the generating of a variety of data. So NoSQL is absolutely needed for the new generation businesses.
  • Data stored in column format. In the form of key-value pairs.
  • Python, Ruby, PHP, and Java are top languages you need to interact with NoSQL databases.

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