Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Computer science principles (cheat code)
(Like and repost if you find this useful)
Also note that these statements are generally true but may need nuanced discussions based on context.
Here you go:
* Hashing to get quick lookups.
* Sorting to get quick searches.
* Append only to get fast and high throughput writes.
* In-memory to get ultra fast writes/reads.
* Probabilistic data structures to get fast lookups with chances of false positives.
* B-trees to get quick lookups with disk-friendly access patterns.
* Bloom filters to get space-efficient membership testing with acceptable false positives.
* Write-ahead logging to get durability without sacrificing write performance.
* Caching to get fast reads by storing frequently accessed data in faster storage.
* Indexing to get quick searches without scanning entire datasets.
* Compression to get reduced storage costs at the expense of CPU overhead.
* Sharding to get horizontal scalability by distributing data across multiple nodes.
* Replication to get high availability and read performance through data redundancy.
* Columnar storage to get fast analytical queries by storing related data together.
* LSM trees to get high write throughput by batching writes and periodic merging.
* Skip lists to get balanced tree performance with simpler lock-free implementations.
* Consistent hashing to get even data distribution with minimal reshuffling during scaling.
* Trie structures to get fast prefix matching and autocomplete functionality.
* Ring buffers to get bounded memory usage with efficient circular data access.
* Copy-on-write to get memory efficiency by sharing data until modifications occur.
* Merkle trees to get tamper detection and efficient synchronization through cryptographic hashing.
* Segment trees to get fast range queries with logarithmic update complexity.
* Fenwick trees to get efficient prefix sum calculations with minimal memory overhead.
* Union-find to get fast connectivity queries through path compression and union by rank.
* Suffix arrays to get efficient string matching with reduced memory compared to suffix trees.
* Inverted indexes to get fast full-text search by mapping terms to document locations.
* Spatial indexing to get quick geographic queries through multi-dimensional partitioning.
* Time-series databases to get optimized storage for chronological data with compression.
* Event sourcing to get complete audit trails by storing state changes instead of current state.
* CRDT (Conflict-free Replicated Data Types) to get eventual consistency without coordination overhead.
* Lockless data structures to get high concurrency through atomic operations and memory ordering.
* Partitioning to get improved performance by dividing data based on access patterns.
* Materialized views to get fast complex queries by pre-computing and storing results.
* Delta compression to get reduced storage by storing only differences between versions.
* Heap data structures to get efficient priority queue operations with constant-time peek.
* Hash tables with linear probing to get cache-friendly access patterns despite clustering.
* Rope data structures to get efficient string concatenation and manipulation for large texts.
* Radix trees to get memory-efficient prefix storage through path compression.
* Adaptive data structures to get self-optimizing performance based on access patterns.
* Batching to get improved throughput by amortizing overhead across multiple operations.
Begging you with folded hands - please take care of your lives and that of your loved ones.
India is counted amongst the top nations when it comes to surveillance. Right besides with China and Russia - yet when it comes to predictable crowd events - we fail miserably. At melas / at stations / at movie launches and cricket celebrations.
Enjoy the beautiful game from the comfort of your homes in 4K - it's not worth losing your life over it. The Govt, the cricketers & the team owners will move on in a matter of hours.
OPERATION SINDOOR: A Testament to Eternal Service
Our brave #Veterans' indomitable spirit shines brighter than ever as they step forward to serve once again. Their unwavering dedication epitomizes #ServiceBeforeSelf, inspiring a nation and igniting hope in every heart.
#IndianArmy remains Forever Proud, Forever Grateful- because their Spirit of Sacrifice is the foundation of our #NationFirst.
#IndianArmy
#Veterans
#Respect
@DIAV20
Been struggling with focus lately, and last month I tried to get back on track by sharing updates here. Now, it’s time to step it up—I’m committing to 4 hours of focused work every day. Let’s see how it goes! #Focus#Productivity
#day16
Today was a bit distracted. However, later in the evening, I managed to focus and learned a lot about design patterns. Definitely losing track of my routine—time to get back on track!
#day14
Most of today was spent on LeetCode 🧩
Later, picked up Operating Systems: Three Easy Pieces to dive into the fundamentals of processes.
#LeetCode#OSTEP#Learning
#day14
Spent the whole day on LeetCode. Still struggling to fully grasp Dijkstra’s algorithm. Why is it so elusive? Or maybe I just need a break and a fresh look tomorrow.
#LeetCode#Algorithms#DijkstrasAlgorithm
#day13
Spent most of my time solving LeetCode problems lately. I realize I need to reduce stress and create a distraction-free work environment. 💻✨ #LeetCode#Focus
#day12
Made progress on the microservices project! 🚀
Got deeper into Algo DS, finally understanding Tim sort. Started learning system design too.
Struggling a bit with boredom and distractions, but staying off social media on my phone all day and blocking it on my computer.