๐ ๐ก๐ฒ๐ ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐๐น๐ฒ๐ฟ๐! ๐
I’m excited to announce the release of the second video in my course “๐ ๐ฎ๐๐๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐ ๐ฎ๐ป๐ฑ ๐๐ฎ๐๐ฎ ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ ๐ถ๐ป ๐ฃ๐๐ฃ”!
In ๐๐ฒ๐๐๐ผ๐ป ๐ญ.๐ฎ: ๐๐ถ๐ด ๐ข ๐ก๐ผ๐๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐, we dive into the essentials of Big O, a critical concept for writing efficient code. Whether you’re new to algorithms or looking to sharpen your skills, understanding time and space complexity is a must for any developer!
๐บ ๐ช๐ฎ๐๐ฐ๐ต ๐๐ต๐ฒ ๐ณ๐๐น๐น ๐๐ถ๐ฑ๐ฒ๐ผ ๐ผ๐ป ๐ฌ๐ผ๐๐ง๐๐ฏ๐ฒ: https://lnkd.in/d-3NrihD
๐ป ๐๐ผ๐ฑ๐ฒ ๐ฎ๐๐ฎ๐ถ๐น๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ป ๐๐ถ๐๐๐๐ฏ: https://lnkd.in/dkuQWvXe
Stay tuned for more lessons, and feel free to share your thoughts and questions in the comments!
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