๐๐ Embarking on my journey with Python! ๐ I've just started the Programming for Everybody course, and I couldn't be more excited to share my learnings with all of you. Together, let's become proficient Python users Are you ready? Let's go! ๐ช๐ก #Python#Coding#LearningJourney
Looking for remote programming jobs? Check out this comprehensive list of top interview questions for remote developers. It can help you prepare for interviews with leading companies. Don't miss out! ๐๐ป
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Believe in Yourself: You're on a coding journey, and it won't always be easy, but with determination and practice, you'll master variables and much more! Stay motivated and keep coding! ๐ป๐ #Python#CodingJourney#StayMotivated#DataScience
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Hey! Data Science journey is all about continuous learning and growth. In this series, I'll share essential tips on variables, an indispensable concept in programming. Let's dive into the world of variables and unleash their power together! ๐๐ป #DataScience#ProgrammingTips
Mutable vs. Immutable:
Know the difference! Immutable objects (like strings, numbers) can't be changed directly.
Modify them?
Assign new values to create new objects. Mutable objects (lists, dicts) can be changed in-place. ๐ #Python#CodingConcepts#DataScience
Happy new month to yโall ๐ฅณ๐ฅณ๐ฅณ
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Learning to code can be challenging, and it requires dedication, persistence, and a willingness to tackle complex problems. It's important to acknowledge the difficulties that come with mastering coding skills. #DataScience#follo
๐ ๐ฉ๐ถ๐๐๐ฎ๐น ๐๐๐ถ๐ฑ๐ฒ ๐ข๐ป ๐๐ผ๐ ๐ง๐ผ ๐๐ต๐ผ๐ผ๐๐ฒ ๐ง๐ต๐ฒ ๐ฅ๐ถ๐ด๐ต๐ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ
Choosing the right data store can be confusing with so many options around. This diagram shows a selection choice for a datastore based on a use case (๐ฆ๐ค๐ ๐๐ ๐ก๐ผ๐ฆ๐ค๐).
Data can be ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ (๐ฆ๐ค๐ ๐๐ฎ๐ฏ๐น๐ฒ ๐๐ฐ๐ต๐ฒ๐บ๐ฎ), ๐๐ฒ๐บ๐ถ-๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ (๐๐ฆ๐ข๐ก, ๐ซ๐ ๐, ๐ฒ๐๐ฐ.), ๐ฎ๐ป๐ฑ ๐๐ป๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ (๐๐น๐ผ๐ฏ). In the case of structure, they can be relational or columnar, while in the case of semi-structured, there is a wide range of possibilities, from key-value to graph.
Credits Satish Chandra Gupta.
Back to you, which database have you used for which workload?
Check the full source in the comments.
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