Posts

Showing posts with the label sql queries and examples

Featured Post

15 Python Tips : How to Write Code Effectively

Image
 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

1000 SQL Queries For Practice (Part-1)

Welcome to SQL Tutorial. As I told in my previous posts. Learning SQL needs lot of Practice instead of reading more. In my series of posts, I am giving best SQL examples for practice. So that you can become SQL professional with my tutorials. Always Look For SQL/PL-SQL Job s-Great Demand Ahead for people who has hands-on experience 1000 SQL Queries Download Free 1000 SQL Queries