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Bytephilosopher

Bytephilosopher

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a curious mind exploring tech, AI, and social change || ORTHODOX CHRISTIAN || A2SVian || AAU Student Any inquiry dm @Yostina_Abera

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Are you ready for tomorrow it's Monday plus sep 1? @byte_philosopher

Repost from Unscripted Odyssey
Psalms 14:1 "The fool says in his heart, โ€˜There is no God.โ€™" 2017 Reflections 2. I almost went insane... https://telegra.ph/I-Almost-Went-Insane-08-31

This is insane guys read it

#August_30_LeetCode_Grid ๐Ÿ“Œ Graphs in DSA A Graph = ๐ŸŸข Nodes (called vertices) + ๐Ÿ”— Connections (called edges). Theyโ€™re everywhere โ€” social networks, maps, recommendations, even computer networks! Types of Graphs: Directed vs Undirected โžก๏ธ / โ†”๏ธ Weighted vs Unweighted โš–๏ธ Cyclic vs Acyclic ๐Ÿ”„ / ๐Ÿšซ Ways to Store Graphs: Adjacency List โœ… (efficient) Adjacency Matrix ๐Ÿ”ฒ (easy but heavy) Popular Graph Algorithms: BFS (Breadth-First Search) ๐Ÿ” level by level DFS (Depth-First Search) ๐ŸŒŠ go deep first Dijkstra ๐Ÿ›ฃ๏ธ shortest path Kruskal & Prim ๐ŸŒ minimum spanning tree ๐Ÿ‘‰ Mastering graphs = mastering real-world problem solving. @byte_philosopher

Happy Sunday y'all ๐Ÿ˜Š @byte_philosopher
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Happy Sunday y'all ๐Ÿ˜Š @byte_philosopher

#August_27_28_29_LeetCode_Grind HashMaps (Python dict) Recap A HashMap stores data in keyโ€“value pairs for super-fast access โšก. Think of it like a dictionary ๐Ÿ“–: words = keys, meanings = values. โœ… Key Features: Fast lookups, inserts, deletes โ†’ O(1) average Keys are unique Perfect for counting, mapping & caching
hashmap = {"apple": 2, "banana": 5}

print(hashmap["apple"])  # 2
hashmap["banana"] = 10   # update
hashmap["grape"] = 7     # insert
del hashmap["apple"]     # delete
๐Ÿ”ฅ Use Cases: โœ”๏ธ Word frequency counters โœ”๏ธ Caching results โœ”๏ธ Graph adjacency lists @byte_philosopher

โ€œLet us acquire reverence, dignity, and meekness towards all people, as well as precise knowledge of them. so that we may be able to avoid familiarity, which is the mother of all evils.โ€ +Abba Moses

แˆ€แˆ™แˆต แ‹จแ‰€แŠ• แ‰…แ‹ฑแˆต๐Ÿ˜‰ @byte_philosopher

Repost from kin
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Introducing ExyRead โ€“ your all in one AI powered reading companion After months of building, Iโ€™m excited to share that 90% of the core features are now complete! ExyRead is designed to support students and anyone who wants to make their reading and studying smarter and easier. Key Features: AI Chat โ€“ ask questions, get instant support One-click PDF summaries โ€“ save time, grasp key points faster Note-taking โ€“ write down ideas while studying AI note summaries โ€“ turn long notes into short takeaways Instant explanations โ€“ highlight text and get AI-powered clarity Progress tracking โ€“ stay motivated as you read Smart organization โ€“ create folders to manage files easily Study reminders โ€“ never miss your next session Your feedback will play a big role in shaping the future of the app. ๐Ÿ’ก Be one of the first to try it here. #my_project @kintechno

#August_26_LeetCode_Grid ๐Ÿ‘‘ Heap: The King of Efficiency ๐Ÿ‘‘ Ever wondered how to always grab the biggest or smallest number FAST? โšก Thatโ€™s where Heaps come in! ๐Ÿ”ฅ Whatโ€™s a Heap? A tree-like structure ๐Ÿ“š Min-Heap โ†’ smallest on top (root). Max-Heap โ†’ largest on top (with a trick in Python ๐Ÿ˜‰). โšก Why are they cool? ๐Ÿ“ Always gives you the top element in O(1) time. โž• Insert / โŒ Remove in O(log n). Used in priority queues, scheduling, Dijkstraโ€™s algorithm, and finding kth largest/smallest element! ๐Ÿ Python Example:


import heapq

nums = [5, 2, 8, 3, 1]

heapq.heapify(nums)   # min-heap
print(nums[0])        # ๐Ÿ‘‰ 1 (smallest)

# max-heap trick
nums = [-x for x in nums]
heapq.heapify(nums)
print(-nums[0])       # ๐Ÿ‘‰ 8 (largest)
๐Ÿ’ก Remember: Heaps donโ€™t fully sort data, they just keep the top element ready at all times ๐Ÿš€. โš”๏ธ Next time you need efficiency โ†’ Just call the Heap King ๐Ÿ‘‘ @byte_philosopher

This days what I understand from solving leetcode is, you always have to think in the reverse way. (แŒˆแˆแ‰ฅแŒฆ แˆ›แˆฐแ‰ฅ๐Ÿ˜ ) is the better way. For ex: if your first thought for the solution was addition then use substraction boom it works๐Ÿ˜ @byte_philosopher

#August_25_LeetCode_Grid ๐Ÿš€ Backtracking in DSA โ€“ Quick Recap Backtracking is like exploring all paths in a maze. You try options, go forward, and undo your choices if they donโ€™t work. How it works: Choose: Pick a possible option. Explore: Move forward recursively with that choice. Backtrack: Undo the choice to try other possibilities. โœ… Key idea: Explore all possibilities systematically, but prune paths that fail early. โœ… Use cases: Subsets & permutations Combination sum problems Sudoku & N-Queens Maze & pathfinding problems ๐Ÿ’ก Tips: Always have a base case to stop recursion. Make sure to undo changes before returning to explore other options. Example in LeetCode: Combination Sum, Subsets, N-Queens @byte_philosopher

Have a productive weekโค @byte_philosopher

This is cool guys๐Ÿ”ฅ Let's show her some love guys go and star her repo on github. @byte_philosopher

Repost from Lid's Verse
Finally i deployed lesson of the day bot on python anywhere. ๐Ÿ”Ž What can Lesson Of The Day Bot do: ๐Ÿ“˜ Show todayโ€™s lesson ins
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Finally i deployed lesson of the day bot on python anywhere. ๐Ÿ”Ž What can Lesson Of The Day Bot do: ๐Ÿ“˜ Show todayโ€™s lesson instantly. ๐Ÿ•ฐ Browse through past lessons easily. ๐Ÿ”– Bookmark and revisit lessons you like. ๐Ÿ“… Search by date. ๐Ÿ‘‰ @lesson_of_day_bot here is the Github repo https://github.com/Lidiya-Bokona/Lesson_of_the_day_bot.git #project

แˆ˜แˆแŠซแˆ แ‹•แˆˆแ‰ฐ แˆฐแŠ•แ‰ แ‰ต ๐Ÿ’› Have a blessed sunday @byte_philosopher
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แˆ˜แˆแŠซแˆ แ‹•แˆˆแ‰ฐ แˆฐแŠ•แ‰ แ‰ต ๐Ÿ’› Have a blessed sunday @byte_philosopher

แ‹ฐแˆ…แŠ“ แŠฅแ‹ฐแˆฉ๐Ÿซถ @byte_philosopher

#August_21_22_23LeetCode_Grid
I finished my study on trees here is the short summery
๐ŸŒณ Trees in Data Structures ๐ŸŒณ Think of a Tree like a family tree or folder system: ๐ŸŒฑ Root โ†’ the starting point ๐ŸŒฟ Branches (children) โ†’ connect to other nodes ๐Ÿ‚ Leaves โ†’ end nodes with no children โœจ Popular Trees: ๐ŸŒฒ Binary Tree โ†’ max 2 children per node ๐Ÿ”Ž Binary Search Tree (BST) โ†’ left < root < right ๐Ÿ— Heaps & Balanced Trees โ†’ used in priority queues, databases โšก Why Learn Trees? โœ” Organize data efficiently โœ” Fast search & sorting โœ” Used in file systems, AI, compilers, HTML DOM ๐Ÿ“Œ Next time you open folders on your PCโ€ฆ youโ€™re walking through a tree ๐ŸŒณ๐Ÿ˜‰ @byte_philosopher

แŠฅแŠ•แŠณแŠ• แˆˆแŠฅแŠ“แ‰ณแ‰ฝแŠ• แˆˆแŠฅแˆ˜แ‰คแ‰ณแ‰ฝแŠ• แ‰…แ‹ตแˆตแ‰ต แ‹ตแŠ•แŒแˆ แˆ›แˆญแ‹ซแˆ แ‰ แ‹“แˆˆ แ‹•แˆญแŒˆแ‰ต แŠฅแŠ“ แ‰ตแŠ•แˆณแŠค แŠ แ‹ฐแˆจแˆณแ‰ฝแˆ แŠ แ‹ฐแˆจแˆฐแŠ• ๐Ÿ’› ๐Ÿ“ธแˆแˆ˜แˆจ แŠ–แˆ… แŠฅแŠ•แŒฆแŒฆ แŠชแ‹ณแАแˆแˆ…แˆจแ‰ต @byte_philosopher
แŠฅแŠ•แŠณแŠ• แˆˆแŠฅแŠ“แ‰ณแ‰ฝแŠ• แˆˆแŠฅแˆ˜แ‰คแ‰ณแ‰ฝแŠ• แ‰…แ‹ตแˆตแ‰ต แ‹ตแŠ•แŒแˆ แˆ›แˆญแ‹ซแˆ แ‰ แ‹“แˆˆ แ‹•แˆญแŒˆแ‰ต แŠฅแŠ“ แ‰ตแŠ•แˆณแŠค แŠ แ‹ฐแˆจแˆณแ‰ฝแˆ แŠ แ‹ฐแˆจแˆฐแŠ• ๐Ÿ’› ๐Ÿ“ธแˆแˆ˜แˆจ แŠ–แˆ… แŠฅแŠ•แŒฆแŒฆ แŠชแ‹ณแАแˆแˆ…แˆจแ‰ต @byte_philosopher

#August_20_LeetCode_Grind today I was just exploring what trees are and doing leetcode problems. This topic is a bit vast and with doing side projects it feels overwhelming . But here we are struggling to face the challange. Today I also noticed that I have only 2 or 3 weeks to start my 2nd year. Somehow it feels guilty when it comes to accomplishing your goal. And at the same time you need to rest but your mind can't . So here we are " we struggle to satisfy our mind and we kill the feeling of rest to feed the satsfaction for our soul"
แˆ˜แˆตแˆซแ‰ต แ‹ซแˆตแŠจแ‰ฅแˆซแˆ แˆ€แŒˆแˆญแŠ• แ‹ซแŠฎแˆซแˆ
@byte_philosopher