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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

148 lessons 39 roadmaps 955 articles

coursesall topics ->
Web Scraping 59 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 59 lessons · free start ->
Cybersecurity 35 lessons Concepts, attack vectors, and defensive techniques for application and network security. 01 Encryption02 Hashing vs Encoding03 Digital Signatures and PKI 35 lessons · free start ->
Networking 27 lessons How data moves. Protocols, layers, and the infrastructure of the internet. 01 TCP/IP Model02 Ethernet, ARP & Switching03 IPv4 and IPv6 Addressing 27 lessons · free start ->
Anti-Bot Evasion 27 lessons Learn techniques for bypassing modern anti-bot protections, CAPTCHAs, and advanced fingerprinting. 01 How Anti-Bots Work02 IP Reputation & Proxies03 Proxy Pools & Session Stickiness 27 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 Sep 29 Show HN: Worlds, local replicas of Stripe and Zendesk for testing AI agents AI agent testing has entered a new phase where every action can be traced, replayed, and verified against a known state. Sparta's Worlds platform offers exactly that: a sealed twin of the systems an agent touches, allowing teams t... machine learning Sep 29 PDMD: Projected Distribution Matching Distillation for Video Diffusion Models Modern video diffusion models require many denoising evaluations over long spatiotemporal token sequences, making inference computationally expensive. Distribution Matching Distillation (DMD) was introduced to reduce the number of... machine learning Sep 29 Unifying Distributional Training for One-Step Visual Generation One-step visual generation requires efficient supervision that can shape a generator in a single forward pass. Prior distributional training methods match real and generated features in frozen representation spaces, but lack a uni...
latest papersall papers ->
arXiv:2609.35770 Sep 29 FurE: Efficient Instance-Specific 3D Fur Reconstruction without Animal-Fur Datasets Srinjay Sarkar, Prakhar Kaushik, Soumava Paul, Alan Yuille Animal fur reconstruction from multi-view images has long been stuck behind a data problem. Human hair benefits from several large-scale capture datasets, but no comparable resource exists for animal fur. The variation across spec... arXiv:2609.35767 Sep 29 Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning Yijia Fan, Ziqi Huang, Zhongang Cai, Yan Li, Zimo Wen, Wanqi Yin, Haiwen Diao, Ziwei Liu The article is complete and meets all requirements. Here's the final output: IMPORTANT: yes Unified multimodal models that can both perceive and render images present an intriguing possibility: they can repair their own generation... arXiv:2609.35768 Sep 29 PDMD: Projected Distribution Matching Distillation for Video Diffusion Models Zimo Wang, Junkun Yuan, Angtian Wang, Haotian Yang, Canyu Zhang, Siyuan Yuan, Xingchang Huang, Bo Liu, Yizhi Wang, Yiding Yang, Chongyang Ma, Gordon Guocheng Qian Modern video diffusion models require many denoising evaluations over long spatiotemporal token sequences, making inference computationally expensive. Distribution Matching Distillation (DMD) was introduced to reduce the number of...