CSS, Clearly Explained

css Developer life Web-design Drop-shadow Stylesheets Dachshund Visual-learning

Frontend Javascript Webdev

3 months ago 95,540 views 1 shares

CSS, Clearly Explained

css-memes, frontend-memes, webdev-memes, dachshund-memes, drop-shadow-memes | ProgrammerHumor.io

Finally, a CSS tutorial that actually makes sense! While documentation rambles on about "box models" and "cascading specificity," this genius just showed us exactly what drop-shadow() does in real life. The dachshund perfectly demonstrates the CSS in action - white background, precise padding, and that shadow cast exactly as specified. This is the kind of visual learning that would've saved me hours of Stack Overflow despair. Next up: explaining z-index with a stack of pancakes.

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Now that's some real life application of what we learn:

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Content Quora Q Search Quora I like girl A. We are very good friends. A's best friend B likes me. Also, A likes a guy C who is my best bro and C likes another girl D who is in a relationship with another guy. What should we do? O, Answer 6 Follow 145 Request O 7 All related (100 V Sort Recommended V Follow Studied at Indian Institute of Technology, Delhi Updated 8y Originally Answered: I like girl A. We are very good friends, but her best friend B likes me. Also, A likes guy C, who is my best bro. C likes another girl D, who is in a relationship with another guy. What should we do? You can apply Bipartite Matching algorithm of Graph Theory. All you have to do is: 1. Put all girls as vertices (a's) in Part A, and boys as vertices (b's) in Part B. 2. Draw an edge between vertex a to vertex b if a likes b. 3. It will be a bipartite graph (there are no edges within vertices of Part A, and same for Part B) unless your friends are not straight. 4. Then find maximum matching for this bipartite graph. (refer this link Maximum Bipartite Matching - GeeksforGeeks ) 5. You will get maximum matching as output and the matched edges will be the pairs who should be together. 6. You can apply weighted bipartite matching algorithm if you know how much they lovelike each other. In that case, assign weights according to their amount of love. and repeat step 4 and 5. Thanks for asking this question. Finally I have found a real life problem which can be solved by what Prof Panda has been teaching us for 2-3 years. P.S. I can provide you code for both weighted and unweighted maximum bipartite matching which I made for my project.

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