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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 1822 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 31 Tell HN: Claude is using my limits even though it's infra is failing Hacker News user throwaw12 reported last week that Claude's agent silently consumes rate limits even when infrastructure errors interrupt work mid-task. The post describes a frustrating cycle: when connection errors strike, the ag... programming languages Oct 31 Show HN: Archwhere – work alongside AI coding agents on an architecture map AI coding agents regularly ship thirty PRs each week. Do their landings add up to anything recognizable? archwhere places every change — every PR, every task, every agent — on a declared architecture map. The map records which com... scraping Oct 31 The biggest names in AI are backing a new way to opt out of scraping OpenAI, Google, Microsoft, and Anthropic have agreed to support a shared signal that lets publishers control how their content is used for AI training. The signal, called a policy token, will be published in a website's robots.txt...
latest papersall papers ->
arXiv:2610.40654 Oct 30 Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering Moshe Shenfeld, Eliad Tsfadia, Katrina Ligett The accuracy of many machine learning estimators depends on the quality and representativeness of training data. In practice, an model can perform well on the majority of records while remaining vulnerable to a small subset of out... arXiv:2610.40649 Oct 30 Rethinking Neural Thickets Without Weight Perturbations Nicolas Dufour, Elouan Gardès, Amil Dravid, Patrick Pérez, Loic Landrieu The Neural Thickets hypothesis and its geometric claim The Neural Thickets hypothesis, introduced in prior work, posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space. According... arXiv:2610.37658 Oct 28 When Should We Intervene at Test Time? Jiahao Zhang, Xinling Wen, Liangliang Li, Yu Chen Test-time adaptation helps a deployed model respond to changing inputs, but the same intervention can rescue one batch and damage the next. Updating normalization statistics, for example, can improve corrupted images yet fail when...