Linux systemd Services: A Practical Guide
Write, enable, and debug systemd services on Linux. Learn unit files, dependencies, restart policies, and journalctl logs through a small hands-on example.
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Write, enable, and debug systemd services on Linux. Learn unit files, dependencies, restart policies, and journalctl logs through a small hands-on example.
Generate strong SSH keys, configure your ~/.ssh/config, lock down sshd, and use agent forwarding and jump hosts to access servers safely without passwords.
A printable cheatsheet of time and space complexities for arrays, hashmaps, trees, heaps, graphs, sorts, and common algorithms. Includes worst-case notes and quick rules of thumb.
Solve Find Minimum in Rotated Sorted Array in logarithmic time with a modified binary search. Learn the pivot-finding invariant, edge cases, and how to extend the pattern to related problems.
Solve Fizz Buzz with clean code and explore the string-concatenation pattern that avoids nested if-else. Python, Java, C++, and complexity analysis included.
Solve Find Median from Data Stream with two heaps. Learn the balance invariant, why it gives O(log n) inserts and O(1) median, and the common pitfalls.
Solve Jump Game with a single-pass greedy max-reach approach. Compare it against the dynamic programming solution and learn when greedy is provably optimal.
Solve Maximum Product Subarray in linear time by tracking running min and max. Learn why negative numbers flip the role of min and max and see clean code.
Solve Meeting Rooms II two ways: a min-heap of end times and a sweep-line over start and end events. Learn when each shines and how to pick in interviews.
Walk through Merge Intervals step by step. Brute force vs the optimal sort-and-sweep approach, edge cases, and clean code you can ship in an interview.
Detect integer palindromes by reversing half the digits with integer math. Learn why string conversion is discouraged and how to handle negatives and trailing zeros.
Solve the Reverse String problem in place using the two-pointer technique. Walkthrough, complexity analysis, edge cases, and clean Java, Python, and C++ implementations.
Rotate an array by k steps in O(1) extra space using the triple-reverse trick. Compare it with the extra-array approach and learn why this pattern keeps showing up.
Master the three most powerful array methods in JavaScript — map, filter, and reduce — with practical examples, chaining patterns, and performance tips.
Master async and await in JavaScript — write asynchronous code that reads like synchronous code, handle errors with try/catch, and parallelize work with Promise.all.
Understand JavaScript closures and lexical scope — see how inner functions remember outer variables, and learn the patterns that closures enable.
Go beyond the basics of JavaScript promises — explore the microtask queue, error propagation, cancellation patterns, and advanced combinators like any and allSettled.
Demystify the JavaScript this keyword — understand how it changes by call site, why arrow functions differ, and how to bind context without surprises.
Learn how to use React's Context API to share state across your component tree without prop drilling — with patterns, performance tips, and common mistakes to avoid.
Learn powerful patterns for building React custom hooks — extracting logic, composing hooks, handling cleanup, and designing clean APIs your team will love.
A practical deep dive into useState, useEffect, useMemo, useCallback, and useRef. Learn when to reach for each hook and the traps that ruin React code.
Avoid the most common useEffect mistakes — missing dependencies, infinite loops, stale closures, and effects that should not be effects in the first place.
An approachable introduction to TypeScript generics — learn type parameters, constraints, defaults, and how to build reusable type-safe functions and components.
A gentle introduction to Python's async and await — coroutines, the event loop, awaiting tasks, asyncio.gather for concurrency, and when async actually helps.
A practical guide to error handling in Python — catching specific exceptions, the else and finally clauses, raising and re-raising, custom exception types, and habits that lead to robust code.
A complete guide to Python f-strings — basic interpolation, format specifiers for numbers and dates, alignment and padding, debug syntax, and when to choose other formatting methods.
Understand Python generators from the ground up — how yield turns a function into an iterator, lazy evaluation, generator expressions, and when generators beat lists.
Go beyond the basics of Python list comprehensions — filtering, nested loops, conditional expressions, dict and set comprehensions, and when a plain for loop is the better choice.
A practical introduction to Python type hints — basic syntax, common collection types, Optional and Union, type-checking with mypy, and how hints improve code without changing runtime behaviour.
Stop polluting your system Python — a practical guide to virtual environments with venv, activating and deactivating them, requirements.txt, and a quick look at modern alternatives.
Compare cache-aside, read-through, write-through, write-behind, and refresh-ahead. Learn when each strategy fits, what consistency you give up, and how to choose for interviews.
A practical introduction to sharding: range, hash, directory, and geo-based partitioning. Learn how to pick a shard key, handle hot shards, and plan resharding without downtime.
A repeatable 7-step framework for system design interviews. Clarify, estimate, API, data model, high-level, deep dive, bottlenecks — with concrete examples for each step.
A working introduction to gRPC: protobuf schemas, code generation, the four RPC styles, deadlines, errors, and when to pick it over REST.
How idempotency keys work, where to use them, and how to implement them correctly so clients can safely retry POST requests without creating duplicates.
A practical introduction to MongoDB for developers familiar with relational databases: documents, collections, queries, indexes, and when to pick it over SQL.
A clear-eyed guide to JWTs: structure, signing, verification, refresh flows, and the real-world failure modes nobody warns you about.
OAuth2 demystified for working developers: the four flows, access and refresh tokens, PKCE, scopes, and where security actually breaks in practice.
Build a real WebSocket server in Node.js: handshake, broadcasting, heartbeats, backpressure, and scaling beyond a single process.
Practical Redis caching patterns: cache-aside, write-through, TTL choices, stampede protection, and invalidation strategies that survive production.
Use the AWS Cloud Development Kit to define cloud infrastructure in TypeScript with constructs, stacks, and CloudFormation as the deploy engine.
Learn how Amazon CloudFront works: origins, distributions, cache behaviors, invalidations, signed URLs, and pairing CloudFront with S3 for static sites.
Learn AWS IAM fundamentals: root vs IAM users, JSON policies, roles for services, least privilege, and common pitfalls that lead to security incidents.
A practical introduction to Amazon RDS: supported engines, instance types, backups and snapshots, multi-AZ deployments, parameter groups, and security.
Understand AWS VPC fundamentals: public vs private subnets, internet and NAT gateways, route tables, and the difference between security groups and NACLs.
Design C++ classes with constructors, destructors, member initializer lists, and the Rule of Three and Five to manage resources safely.
Master C++ control flow with if-else, for and range-for loops, while, do-while, switch, and the modern init-statement syntax for conditions.
Set up a modern C++ toolchain on macOS, Linux, or Windows, then compile and run your first program with g++ or clang++ from the command line.