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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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Web Scraping Cybersecurity Networking Anti-Bot Evasion

206 lessons 39 roadmaps 1147 articles

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 start ->
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 start ->
Networking 35 lessons How data moves. Protocols, layers, and the infrastructure of the internet. 01 TCP/IP Model02 Ethernet, ARP & Switching03 IPv4 and IPv6 Addressing 35 lessons · free start ->
Anti-Bot Evasion 62 lessons Learn techniques for bypassing modern anti-bot protections, CAPTCHAs, and advanced fingerprinting. 01 How Anti-Bots Work02 The Defender's Signal Inventory03 IP Reputation & Proxies 62 lessons · free start ->
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 ->
ai Oct 07 I built a ridiculous game to test decision models vs. 9 LLMs A purpose-built decision model and nine foundation models faced the same twenty well-defined choices. The test measured how long each took and what it cost. The results show where each approach fits in a marketing stack. Why small... ai Oct 07 When and why prototyping is still needed when working with AI agents A local-first notes manager and issue tracker for agents and humans entered the author's workflow at a critical moment. Emm's core promise: users can start building with local agents without ever connecting to the cloud. That prom... ai Oct 07 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...
latest papersall papers ->
arXiv:2610.08785 Oct 07 Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective Kevin Zhang, Stephen Bates 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... arXiv:2610.08781 Oct 07 IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas Ziyu Chen, Yilun Zhao, Jiashuo Sun, Yiling Ma, Manasi Patwardhan, Arman Cohan 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... arXiv:2610.08778 Oct 07 Sherpa: Teaching LLMs to Teach Adaptively Weixian Xu, Yanzhe Zhang, Zora Zhiruo Wang, Changyu Chen, Diyi Yang "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...