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In-depth courses on web scraping, anti-bot evasion, cybersecurity, and networking, plus learning roadmaps for engineers who value their time. No fluff, just the implementation.
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coursesall topics ->
Web Scraping
67 lessons
A complete web scraping course: HTTP and parsing fundamentals, crawling, browsers, anti-bot engineering, and production-scale data pipelines.
01 HTTP Basics for Scraping02 Understanding HTML Structure03 requests, Sessions & Headers
67 lessons · free
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Cybersecurity
42 lessons
Concepts, attack vectors, and defensive techniques for application and network security.
01 Encryption02 Hashing vs Encoding03 Digital Signatures and PKI
42 lessons · free
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featured roadmapsall 39 roadmaps ->
Web Scraping
15 topics
01 Foundations02 Core Concepts03 Intermediate Skills
4 stages open roadmap ->
Cybersecurity
16 topics
01 Foundations02 Offensive03 Defensive
4 stages open roadmap ->
Frontend Development
40 topics
01 Internet Fundamentals02 HTML Fundamentals03 CSS Styling
8 stages open roadmap ->
Backend Development
38 topics
01 Internet & OS02 Languages03 Relational Databases
8 stages open roadmap ->
Python
116 topics
01 Foundations02 Core Concepts03 Intermediate Skills
29 stages open roadmap ->
Machine Learning & AI
17 topics
01 Mathematics02 Fundamentals03 Deep Learning
4 stages open roadmap ->
latest newsall news ->
Show HN: KORA Doctor – find LLM calls your agent may not have needed
KORA Doctor flags LLM calls your AI agent may never have needed LLM costs add up quickly in agent runs. AUDR records the spend, but KORA Doctor asks whether all that inference was actually necessary. The CLI analyzes AUDR JSON/JSO...
Claude subscription plan provides more value than OpenAI's, study says
Anthropic Claude subscription offers roughly five times the API-equivalent value of OpenAI's plan A study by SemiAnalysis concludes that Anthropic's subscription plans deliver substantially more value per dollar than OpenAI's, fol...
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Conformal prediction has become a standard tool for uncertainty quantification because it produces prediction sets with finite-sample coverage guarantees under minimal assumptions. Practitioners routinely treat the size of these s...
latest papersall papers ->
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Conformal prediction has become a standard tool for uncertainty quantification because it produces prediction sets with finite-sample coverage guarantees under minimal assumptions. Practitioners routinely treat the size of these s...
IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas
Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new directions. However, training language models to perform this form of literature-grounded ideation remains chal...
Sherpa: Teaching LLMs to Teach Adaptively
"IMPORTANT: yes" Large language models have advanced rapidly, achieving strong capabilities in mathematical reasoning and code generation. Solving a problem, however, is different from teaching someone else to solve it. Frontier m...