ΠΠ°ΠΉΠ±-ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅
Open in Telegram
ΠΠ°ΠΊΠ°Π·Π°ΡΡ ΡΠ΅ΠΊΠ»Π°ΠΌΡ: https://telega.in/c/Programmirovanie_1 ΠΠΎΠ½ΡΠ°ΠΊΡ: @Filgood777 (ΡΠ΅ΠΊΠ»Π°ΠΌΠ°, ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²ΠΎ) ΠΠΊΠ»ΡΡΠΈ ΠΌΠΎΠ½Π΅ΡΠΈΠ·Π°ΡΠΈΡ ΡΠ²ΠΎΠ΅Π³ΠΎ TG-ΠΊΠ°Π½Π°Π»Π° ΠΈΠ»ΠΈ ΡΠ°ΠΉΡΠ° ΡΠ΅ΡΠ΅Π· Π Π‘Π― ΠΈ ΠΏΠΎΠ»ΡΡΠ°ΠΉ ΠΏΠ°ΡΡΠΈΠ²Π½ΡΠΉ Π΄ΠΎΡ ΠΎΠ΄. ΠΠΎΠ΄ΠΊΠ»ΡΡΠΈΡΡΡΡ ΠΏΠΎ https://ya.cc/B2UP8W
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Intelligent Adaptive Control with System Constraints.pdf26.66 MB
Data Driven Game Development: Transforming Player Data into a Better Player Experience 2027
ΠΠ²ΡΠΎΡ: Nicklaus Goh
This book covers how data can be used to develop and improve video games from multiple aspects, based on the authorβs extensive experience working in the video game industry for over 16 years.
This book is a comprehensive tool for learning about data of various types, including analytics, research, and financial. It details a journey of building up from zero data maturity to full data maturity, covering both analytics and UX research departments, using case studies from real-life scenarios. By the end of this book, readers will have a better understanding about gathering and analysing data, then presenting actionable insights that lead to a better game and a better player experience.
This book will be ideal for any aspiring or existing games industry professional looking to understand how to use data to build better games.
#eng #book #GameDev #GameData
Π Π°Π±ΠΎΡΠ° Π² Π’βΠΠ°Π½ΠΊΠ΅ β ΡΠΎΠΏβ3 Π»ΡΡΡΠΈΡ
ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Π΅ΠΉ Π ΠΎΡΡΠΈΠΈ ΠΏΠΎ Π²Π΅ΡΡΠΈΠΈ Forbes. ΠΡΠΈΡ
ΠΎΠ΄ΠΈΡΠ΅ ΡΠ°Π±ΠΎΡΠ°ΡΡ ΠΏΠΎ Π°Π΄ΠΌΠΈΠ½ΡΠΊΠΎΠΉ ΡΡΡΠ»ΠΊΠ΅ ΠΈ ΠΏΠΎΠ»ΡΡΠΈΡΠ΅ 7 000 β½
https://tbank-online.com/baf/1Gfz7QB2oIu
Intelligent Adaptive Control with System Constraints.pdf26.66 MB
Intelligent Adaptive Control with System Constraints: Evolving Neural Network Approaches for Robust Adaptive Control 2026
ΠΠ²ΡΠΎΡ: Kapil Sachan
This book provides a comprehensive overview of Adaptive control system design, with a particular emphasis on the recent advancements, covering important practical aspects such as quick adaptation without high transients, adaptation within applicable constraints on system states and control, and model-free adaptive control with smart neural networks. Standard topics in adaptive control and important introductory materials on topics such as Nonlinear system stability using Lyapunov theory are also included in this book. This book provides a clear understanding and an expedited learning experience of both fundamental and advanced topics in Intelligent Adaptive Control to students, faculty, control scientists, and practising engineers interested in designing useful Adaptive control solutions for challenging practical problems.Repost from ΠΠ΅Π½ΠΈΠ²ΡΠΉ Π²Π°ΠΉΠ±-ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡ
ΠΠ°ΠΏΠΎΠΌΠΈΠ½Π°Π΅ΠΌ ΠΏΡΠΎ Π½Π°Ρ ΡΠ΅ΠΊΡΠ΅ΡΠ½ΡΠΉ Π²ΡΠΎΡΠΎΠΉ ΡΠ΅ΡΡΡΡ ΡΡΡ ΡΠΎΠ½Π½Ρ ΠΊΡΡΡΡΡ
ΠΏΠΎΡΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΡ
Π²Ρ Π·Π΄Π΅ΡΡ ΡΠΎΡΠ½ΠΎ Π½Π΅ ΡΠ²ΠΈΠ΄ΠΈΡΠ΅. ΠΠ΅Π³ΠΎΠΌ ΠΏΠΎΠ΄ΠΏΠΈΡΡΠ²Π°ΡΡΡΡ, Π° ΡΠΎ Π±ΡΠ΄Π΅ΡΠ΅ ΠΏΠΎΡΠΎΠΌ Π·Π°Π²ΠΈΠ΄ΠΎΠ²Π°ΡΡ ΡΠ΅ΠΌ ΠΊΡΠΎ Π² ΡΠ΅ΠΌΠ΅ π
(ΠΠΎΠ½ΡΠ΅Π½Ρ Π½Π΅ ΠΏΠΎΠ²ΡΠΎΡΡΠ΅ΡΡΡ)
Federated Learning in Financial Services: A Path to Secure AI 2027
ΠΠ²ΡΠΎΡ: Suvarna Sharma
As financial institutions increasingly rely on AI and ML for data-driven decision-making, concerns about data privacy, security, and regulatory compliance are growing. Federated Learning (FL) emerges as a key solution, enabling collaborative AI model training across multiple organizations without sharing raw data. This book explores advancements in FL technology in the financial industry, specifically in the context of privacy-preserving AI. It also examines the significant shift from traditional centralized Machine Learning approaches to decentralized learning techniques.π£ Π Π°Π·ΠΌΠ΅ΡΡΠΈΡΠ΅ ΡΠ΅ΠΊΠ»Π°ΠΌΡ Π² ΡΡΠΎΠΌ ΠΊΠ°Π½Π°Π»Π΅ β Π΅Ρ ΡΠ²ΠΈΠ΄ΡΡ
ΠΡΠ΄ΠΈΡΠΎΡΠΈΡ Telegram ΠΎΡΡΠ°ΡΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΠΉ, ΡΡΠΎ Π±Ρ Π½ΠΈ Π³ΠΎΠ²ΠΎΡΠΈΠ»ΠΈ. ΠΠ½Π΄Π΅ΠΊΡ ΡΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΡΡΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅Ρ: ΠΎΡ
Π²Π°ΡΡ ΠΊΠ°Π½Π°Π»ΠΎΠ² ΠΏΠΎ ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°ΠΌ Π΄Π΅ΡΠΆΠ°ΡΡΡ, Π»ΡΠ΄ΠΈ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠ°ΡΡ ΡΠΈΡΠ°ΡΡ.
Π Π΅ΠΊΠ»Π°ΠΌΠ° Π² Telegram β ΡΡΠΎ Π·Π°ΠΊΠΎΠ½Π½ΠΎ: Π€ΠΠ‘ Π² 2026 Π³ΠΎΠ΄Ρ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ», ΡΡΠΎ ΠΎΠ½Π° ΡΠ°Π·ΡΠ΅ΡΠ΅Π½Π°.
π ΠΠ°ΠΊΠ°Π·Π°ΡΡ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π² ΡΡΠΎΠΌ ΠΊΠ°Π½Π°Π»Π΅ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ΅ΡΠ΅Π· Telega.in β Ρ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠΎΠΉ ΠΈ Π·Π°ΠΊΡΡΠ²Π°ΡΡΠΈΠΌΠΈ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ, Π·Π° ΠΏΠ°ΡΡ ΠΌΠΈΠ½ΡΡ.
Π€ΠΎΡΠΌΠ°ΡΡ ΠΈ ΡΠ΅Π½Ρ β ΠΏΠΎ ΡΡΡΠ»ΠΊΠ΅.
Work Automation with R 2027
ΠΠ²ΡΠΎΡ: Tiger Tang
Work Automation with R provides a solid framework on how to automate tasks and workflows in the workplace with R. This book introduces the most common components used in R automation, one by one, and then shows how to combine them to tackle real-world tasks.
The reader can jump to any chapter to explore solutions or best practices for specific tasks or read the book in chronological order if they are just starting a new automation project. Each chapter begins with a common data task and explores key concepts and multiple solutions using R packages. The author presents a range of solutions as there are often multiple ways to solve the same problem, with the different options have been compared along with key functions discussed in each, and reproducible examples have also been provided.Π―Π΄ΡΠΎ Linux. Π‘Π±ΠΎΡΠΊΠ°, Π½Π°ΡΡΡΠΎΠΉΠΊΠ°, ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅
ΠΠΎΠ΄: 2023
ΠΠ²ΡΠΎΡ: ΠΠ°ΡΠ²Π΅Π΅Π² Π.Π.
ΠΠ½ΠΈΠ³Π° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π²Π½ΡΡΡΠ΅Π½Π½Π΅ΠΌΡ ΡΡΡΡΠΎΠΉΡΡΠ²Ρ ΡΠ΄ΡΠ° Linux ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π·Π°Π΄Π°ΡΠ°ΠΌ Π΅Π³ΠΎ ΡΠ±ΠΎΡΠΊΠΈ, Π½Π°ΡΡΡΠΎΠΉΠΊΠΈ ΠΈ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ. ΠΠ²ΡΠΎΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅Ρ ΠΏΡΡΡ ΠΎΡ ΠΊΠΎΠΌΠΏΠΈΠ»ΡΡΠΈΠΈ ΡΠ΄ΡΠ° ΠΈ ΡΠ°Π±ΠΎΡΡ Ρ Π·Π°Π³ΡΡΠ·ΡΠΈΠΊΠΎΠΌ GRUB2 Π΄ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ, ΠΏΠ°ΠΌΡΡΡΡ, ΠΏΡΠ΅ΡΡΠ²Π°Π½ΠΈΡΠΌΠΈ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌΠΈ ΡΠ°ΠΉΠΌΠ΅ΡΠ°ΠΌΠΈ. ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΏΠΎΠΌΠΎΠ³Π°Π΅Ρ ΠΏΠΎΠ½ΡΡΡ, ΠΊΠ°ΠΊ Linux Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΠ΅Ρ Ρ Π°ΠΏΠΏΠ°ΡΠ°ΡΠ½ΡΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ΅Ρ ΡΠ΅ΡΡΡΡΠ°ΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΡ.
ΠΡΠ΄Π΅Π»ΡΠ½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΡΠ°ΠΉΠ»ΠΎΠ²ΡΠΌ ΠΈ ΠΏΡΠ΅Π²Π΄ΠΎΡΠ°ΠΉΠ»ΠΎΠ²ΡΠΌ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌ, Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
, ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ°ΠΌ ΠΊΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ°Π±ΠΎΡΠ΅ Ρ ΡΡΡΡΠΎΠΉΡΡΠ²Π°ΠΌΠΈ ΠΈ ΠΌΠΎΠ΄ΡΠ»ΡΠΌΠΈ ΡΠ΄ΡΠ°. Π ΠΊΠ½ΠΈΠ³Π΅ ΡΠ°ΠΊΠΆΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΠΎΠ³ΠΎ ΠΌΠΎΠ΄ΡΠ»Ρ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π»ΡΡΡΠ΅ ΠΏΠΎΠ½ΡΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ Linux. ΠΠ½ΠΈΠ³Π° ΠΏΠΎΠ΄ΠΎΠΉΠ΄Π΅Ρ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΎΡΠ°ΠΌ, ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ°ΠΌ Linux, ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°ΠΌ Π½ΠΈΠ·ΠΊΠΎΡΡΠΎΠ²Π½Π΅Π²ΠΎΠ³ΠΎ ΠΠ ΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠ°ΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ Ρ
ΠΎΡΡΡ Π³Π»ΡΠ±ΠΆΠ΅ ΠΈΠ·ΡΡΠΈΡΡ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ.
#linux #Π»ΠΈΠ½ΡΠΊΡ #Book
Repost from Linux Club
π ΠΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² Linux ΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠ΅ΡΠ΅Π·Π°ΠΏΡΡΠΊ π οΈ
ΠΠ½ΠΎΠ³Π΄Π° ΡΠ΅ΡΠ²ΠΈΡΡ Π½Π° ΡΠ΅ΡΠ²Π΅ΡΠ΅ Β«Π²Π½Π΅Π·Π°ΠΏΠ½ΠΎΒ» ΠΏΠ°Π΄Π°ΡΡ, Π° Π²Ρ ΠΎΠ± ΡΡΠΎΠΌ ΡΠ·Π½Π°ΡΡΠ΅ Π»ΠΈΡΡ ΠΏΠΎ ΠΆΠ°Π»ΠΎΠ±Π°ΠΌ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. ΠΡΠ΅Π΄Π»Π°Π³Π°Ρ ΠΏΡΠΎΡΡΠΎΠΉ Bash-ΡΠΊΡΠΈΠΏΡ, ΠΊΠΎΡΠΎΡΡΠΉ:
1. ΠΡΠΎΠ²Π΅ΡΡΠ΅Ρ ΡΡΠ°ΡΡΡ ΡΠΏΠΈΡΠΊΠ° ΡΠ΅ΡΠ²ΠΈΡΠΎΠ²
2. ΠΡΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π·Π°ΠΏΡΡΠΊΠ°Π΅Ρ ΠΈΡ
3. ΠΠΎΠ³ΠΈΡΡΠ΅Ρ Π²ΡΠ΅ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ
# Π€Π°ΠΉΠ» Π»ΠΎΠ³ΠΎΠ²
logfile="/var/log/service_monitor.log"
for svc in "${services[@]}"; do
status=$(systemctl is-active "$svc")
if [[ "$status" != "active" ]]; then
echo "$(date '+%F %T') βοΈ Π‘Π΅ΡΠ²ΠΈΡ $svc ΡΡΠ°ΡΡΡ: $status. ΠΠ΅ΡΠ΅Π·Π°ΠΏΡΡΠΊΠ°Π΅ΠΌ..." >> "$logfile"
systemctl restart "$svc"
if [[ $? -eq 0 ]]; then
echo "$(date '+%F %T') βοΈ Π‘Π΅ΡΠ²ΠΈΡ $svc ΡΡΠΏΠ΅ΡΠ½ΠΎ ΠΏΠ΅ΡΠ΅Π·Π°ΠΏΡΡΠ΅Π½" >> "$logfile"
else
echo "$(date '+%F %T') β ΠΠ΅ ΡΠ΄Π°Π»ΠΎΡΡ ΠΏΠ΅ΡΠ΅Π·Π°ΠΏΡΡΡΠΈΡΡ $svc" >> "$logfile"
fi
fi
done
ποΈ ΠΠ°ΠΊ Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΏΠΎ ΡΠ°ΡΠΏΠΈΡΠ°Π½ΠΈΡ
ΠΠΎΠ±Π°Π²ΡΡΠ΅ Π² crontab (Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΊΠ°ΠΆΠ΄ΡΠΉ 5-ΠΉ ΠΌΠΈΠ½ΡΡ):
*/5 * * * * /path/to/service_monitor.sh
π ΠΠ°ΡΠ° ΡΠΎΠ²Π΅ΡΠ° ΠΏΠΎ ΡΠ΅Π³ΡΠ»ΡΡΠ½ΡΠΌ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡΠΌ
ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π»ΠΎΠ³ΠΎΠ² ΡΠ΄ΠΎΠ±Π½ΠΎ ΡΠΎΠ±ΠΈΡΠ°ΡΡ Π²ΡΠ΅ ΡΡΡΠΎΠΊΠΈ Ρ ΠΎΡΠΈΠ±ΠΊΠ°ΠΌΠΈ:
grep -Ei "(error|fail|critical|panic)" /var/log/syslog
-E Π²ΠΊΠ»ΡΡΠ°Π΅Ρ ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π³ΡΠΊΡΠΏΡ
-i β Π½Π΅ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΊ ΡΠ΅Π³ΠΈΡΡΡΡ
ΠΠ°ΡΡΡΠΎΠΉΡΠ΅ ΡΠ²ΠΎΠΉ Π½Π°Π±ΠΎΡ ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΡΠ»ΠΎΠ² Π΄Π»Ρ ΠΏΠΎΠΈΡΠΊΠ° π―
#linux #Π»ΠΈΠ½ΡΠΊΡ #linuxclub
Linux Club
Prompt Engineering in Practice: Design, test, and improve AI prompts (Final Release) 2027
ΠΠ²ΡΠΎΡ: Richard Davies
"A thoughtful, practical guide to prompt engineering as a real discipline.β - Che Gamble, Davies Group
Sometimes your LLMs return brilliant responses. Other times, not so much. Do you know why? Prompt Engineering in Practice shows you how to move from accidental AI results to reliable, production-grade systems you can deploy with confidence. Written by AI veterans Richard Davies and Rafael Fischer, this book introduces a unique approach: treat prompts as engineered, self-contained interfaces that you can compose, evaluate, and refine. This shift reframes model interactions as a Foundations of Cybersecurity: A Straightforward Introduction, 2nd Edition 2026
ΠΠ²ΡΠΎΡ: Jason Andress
This comprehensive introduction to the information security field covers the industryβs essential concepts, using real-world security breaches to illustrate key lessons.
Cybersecurity is a huge field, and breaking in can feel overwhelming. Where do you start when the territory spans everything from cryptography to cloud security to social engineering?
In Foundations of Cybersecurity, youβll learn how security professionals actually think about protecting systems. Youβll start with core principles like authentication, authorization, and access control, then build outward into network defense, operating system hardening, application security, and security operations.
Each chapter introduces concepts in context, showing how they connect to real decisions youβll face on the job.
#book #eng #CybersecurityRecursive_Filtering_of_Networked_Systems_with_Communication_Prot.pdf8.52 MB
