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#Dod Procter
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(12)
1.3K
AR🌸 There’s no shortage of spring florals on Art UK! 💐
1) ‘Spring Flowers’ by Dod Procter (1892–1972) © the artist’s estate / Bridgeman Images. 📷 @bridgemanimages
2) ‘Iris Seedlings’ by Cedric Lockwood Morris (1889–1982) © trustees of the Cedric Lockwood Morris Estate/Foundation / Bridgeman Images. 📷 @tate
3) ‘Tulips’ by Samuel John Peploe (1871–1935) 📷 Fife Cultural Trust, on behalf of Fife Council @kirkcaldy_galleries
4) ‘Spring’ by Ernest Herbert Whydale (1886–1952) 📷 @roystonmuseum
5 ‘Spring Flowers’ by Norman Hepple (1908–1994) © Rochdale Arts & Heritage Service. 📷 @touchstones_rochdale
6) ‘Spring Flowers’ by Hans Iten (1874–1930) 📷 National Museums NI @ulstermuseum
@artukdotorg
43.5K
GONever trust a droid in Sector 9
*M.U.D. - Metacognitive Unification Directive. A drug to enforce focus and labor obsession.
#aivideo #cosmichorror #scifi
@gorgon_soup
129.3K
THWe found this computer running Windows XP still running in a power plant control room. Check out the full video on YouTube!
@theproperpeople
17.7K
PRSISTEMA FORD DE PRODUÇÃO (FORDISMO): Um posto, um homem e uma tarefa, gerando especialização e aumento de produtividade? #engenhariadeprodução
@profhelderdiniz
323.1K
CDThis week we look at this amazing work by @computerhistory museum in Mountain View CA. PETER SAMSON wrote this original code in 1962 transforming the lightbulb indicators on the PDP-1 into a four part sound source. He operates the machine again in 2025 to transcribe Boards of Canada with transcription and paper tape assistance from Joe Lynch.
Amazing work by the CHM team. We explain the software and it sounds like at least one reader is already interested in composing for it. So to the museum you may see a reader or two from our community show pub
Follow them for the vital work they’re doing preserving an unsung chapter in computer music history — and inspiring new folks! Hope w can visit too!
@cdmblogs
384.6K
PRResources to Learn DOCKER -
Programming with mosh (youtube)
TechWorld with Nana (youtube)
Fireship
Krish Naik
Hope this was helpful!
#datascience #machinelearning #learningtogether #progresseveryday #tech #consistency #docker #womeninstem
@priyal.py
23.5K
INP@yload creating tool🔥👨💻
#cybersecurity
#viral #explore
#indiancyberclub
#iccians
@indian_cyber_club
191.4K
COLearning how to tune a PID for a drone. Any suggestions?
#drone #fpvdrone #raspberrypipico #engineering #flightcontroller
@codeontheedge
74.7K
HOPolacy zbudowali pierwszy w Europie Środkowo‑Wschodniej komputer kwantowy działający w 10 mK ❄️ „Odra 5” to 5‑kubitowa maszyna łamiąca granice klasycznej fizyki. Polska nie goni – Polska wyznacza kierunek. Udostępnij dalej!
#Polska #Technologia #komputer #Innowacje #Nauka
@hollyrudzka
3.9M
COA Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt the normal operation of a targeted server, service, or network by overwhelming it with a flood of internet traffic. Here's a breakdown of how it works:
1. Preparation
Botnet Creation: Attackers create or rent a botnet, which is a network of compromised devices (computers, IoT devices, etc.) infected with malware that allows the attacker to control them remotely.
Recruitment: The attacker uses vulnerabilities, phishing, or social engineering to infect these devices and make them part of the botnet.
2. Target Identification
The attacker identifies a specific target, such as a website, server, or network infrastructure.
3. Traffic Generation
Using the botnet, the attacker sends an overwhelming amount of traffic to the target. This can take various forms:
Volume-Based Attacks: Flood the target with high amounts of traffic, consuming all available bandwidth.
Protocol Attacks: Exploit weaknesses in communication protocols (e.g., SYN floods) to exhaust server resources.
Application Layer Attacks: Target specific applications or services with requests that appear legitimate but overload the server.
4. Impact on the Target
The target server or network is unable to handle the excessive traffic or requests.
This results in slowdowns, crashes, or total unavailability of the service for legitimate users.
5. Detection and Mitigation
Detection: Security teams or automated tools notice unusual traffic patterns.
Mitigation: Defensive measures include:
Traffic Filtering: Separating legitimate traffic from malicious traffic.
Rate Limiting: Limiting the number of requests from a single IP.
Using a CDN: Offloading traffic to distributed servers.
Scaling Resources: Temporarily increasing capacity to handle the load.
Credit - YT (SENTRY)
#python #programming #coding #pythondeveloper #codinglife #pythonprogramming #codelife
@codes.student
23.8K
WII expect to see this in every household by the end of the year #engineering #electricalengineering #arduino #engineeringstudent #3dprinting
@willdoesbuild
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Analysis of 12 reels
💡 Top performing posts average 1.2M views (2.8x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
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