Shahalam 👨🏻‍💻

Love ❤️ programming | love to explore 🤗 Traveling 🏖️

[Chief Adviser of the Government of Bangladesh @ChiefAdviserGoB]

Some social media accounts falsely claim that 20,000 Bangladeshi militants have joined the Arakan Army, recruited through a U.S.-backed network and supplied with weapons and training. They allege funding comes from Jamaat-linked NGOs and foreign-owned garment companies in Bangladesh. Dr. Muhammad Yunus is wrongly implicated, accused of aiding this network and facilitating extremist agendas, including arms assistance via so-called humanitarian corridors. The alleged goal is to destabilize Myanmar, fuel attacks in India’s northeast, and make Bangladesh a terrorism hub in South Asia.

See:
https://t.co/Bjlx17DWbs
https://t.co/BaCt8mN79O
https://t.co/boLHPaN0dp
https://t.co/ILjqYBvRi3)

However, these claims are entirely false and politically motivated to spread fear and confusion. There are no credible reports, evidence, or official statements supporting the existence of such a large militant recruitment or Dr. Yunus’s involvement. The propaganda relies exclusively on anonymous, unverified sources. Contrary to the rumors, Bangladesh does not operate any humanitarian corridors with Myanmar, making allegations of arms assistance baseless. The coordinated repetition of these narratives across multiple social media accounts indicates a deliberate campaign to discredit Bangladesh, reflecting a broader anti-Bangladesh agenda aligned with the fascist Awami League’s political interests.

[Shahalam 👨🏻‍💻 @_shahalam_dev]

Async/await or Promises—which do you use most?
Async/await = cleaner code & easier error handling
Promises = great for parallel tasks & chaining
What’s your real-world use case or best practice? Drop your thoughts & tips! 👇
#JavaScript #AsyncAwait #Promises #WebDev

[Shahalam 👨🏻‍💻 @_shahalam_dev]

🔥 Top JS frameworks in 2025: What’s hot & what’s not!

Hot: React (server components), Svelte, SolidJS, Qwik
Not: Slow, monolithic frameworks
Are you team classic or trying the new kids on the block? What’s your pick for 2025?
Reply & let’s discuss! 👇
#JavaScript #WebDev

[Shahalam 👨🏻‍💻 @_shahalam_dev]

JavaScript’s journey: ES5 ➡️ ES2025!
From arrow functions & async/await to optional chaining & new ES2025 features, JS keeps getting better for devs and users alike.
What’s your favorite update?
#JavaScript #ES2025 #WebDev

[Shahalam 👨🏻‍💻 @_shahalam_dev]

Migrated a JS codebase to #TypeScript—here’s what I learned:
🔹 Migrate incrementally
🔹 Use any sparingly
🔹 Invest in type definitions
🔹 Update your tooling
🔹 Collaborate & document
The payoff: cleaner, safer, and more maintainable code!
#JavaScript #DevLife #LessonsLearned

[Shahalam 👨🏻‍💻 @_shahalam_dev]

TypeScript = better code quality & maintainability!
🔍 Catch errors early
🧩 Clearer, more readable code
🔄 Safer refactoring
🚀 Scales with your team
Why not give it a try?
#TypeScript #CodeQuality #DevTips

[Skilled Coder @theskilledcoder]

Backend Concepts You’re Probably Mixing Up

[Shahalam 👨🏻‍💻 @_shahalam_dev]

Adopting #TypeScript in your #JavaScript projects means:
✅ Fewer bugs
✅ Better autocompletion
✅ Easier refactoring
✅ Scalable codebases
✅ Smoother teamwork
Level up your dev game! 🚀
#WebDevelopment #Coding

[Shahalam 👨🏻‍💻 @_shahalam_dev]

#NewProfilePic

[Javarevisited @javarevisited]

10 Best System Software Concepts
➡️Load balancers
➡️APIs
➡️Caches
➡️Databases
➡️Network Protocols
➡️Message queues
➡️CDNs
➡️High-level details about ML and Big data
➡️CAP Theorem
➡️Monitoring and analytics
read - https://t.co/GudhicBm57

[Security Trybe @SecurityTrybe]

Top Cyber Security Tools

[Tech Fusionist @techyoutbe]

CRON JOB in Linux 🔥

[Nina @HeyNina101]

Algorithms That Rule the World 🔥

🔷Search Algorithms ⭢ Efficiently locates items in datasets.
↳ Uses: search engines, databases, dictionaries, file systems.

🔷RSA Algorithm ⭢ Secures data with asymmetric encryption.
↳ Uses: online banking, digital signatures, secure emails, VPNs.

🔷PageRank ⭢ Calculates web page relevance by links.
↳ Uses: search engines, content ranking, web indexing, SEO tools.

🔷Convolutional Neural Networks (CNNs) ⭢ Processes image patterns for analysis.
↳ Uses: facial recognition, medical imaging, object detection, self-driving cars.

🔷Transformers ⭢ Powers advanced natural language models.
↳ Uses: AI chatbots, translations, text generation, sentiment analysis.

🔷Fast Fourier Transform ⭢ Analyzes signals by converting them to frequency domain.
↳ Uses: communication, audio processing, image compression, medical imaging.

🔷Dijkstra’s Algorithm ⭢ Determines shortest paths in networks.
↳ Uses: GPS systems, network routing, game development, logistics planning.

🔷Gradient Descent ⭢ Optimizes machine learning model performance.
↳ Uses: neural networks, AI training, data fitting, predictive analytics.

🔷Secure Hash Algorithms ⭢ Protects data integrity through hashing.
↳ Uses: password storage, blockchain, file verification, digital signatures.

--------
📷 Want to see more of these bold, high-energy visuals? Follow @HeyNina101 & @SketechWorld

[Tech Fusionist @techyoutbe]

Linux find command examples

[javinpaul @javinpaul]

110+ Spring Interview Problems
1. Spring Boot - https://t.co/rWU8rpDoOi
2. MVC - https://t.co/NWgDXzjvFx
3. Core - https://t.co/DxtDzqSPB7
4. AOP - https://t.co/3TaWOqrTsO
5. Testing - https://t.co/wQqdSeLHDa
6. Actuator - https://t.co/KwN2khyBQv
8. JPA - https://t.co/JWquGMt8ZN

[Security Trybe @SecurityTrybe]

Search Engines for PenTesters

[Bytebytego @bytebytego]

How can Cache Systems go wrong?

The diagram below shows 4 typical cases where caches can go wrong and their solutions.

1. Thunder herd problem
This happens when a large number of keys in the cache expire at the same time. Then the query requests directly hit the database, which overloads the database.

There are two ways to mitigate this issue: one is to avoid setting the same expiry time for the keys, adding a random number in the configuration; the other is to allow only the core business data to hit the database and prevent non-core data to access the database until the cache is back up.

2. Cache penetration
This happens when the key doesn’t exist in the cache or the database. The application cannot retrieve relevant data from the database to update the cache. This problem creates a lot of pressure on both the cache and the database.

To solve this, there are two suggestions. One is to cache a null value for non-existent keys, avoiding hitting the database. The other is to use a bloom filter to check the key existence first, and if the key doesn’t exist, we can avoid hitting the database.

3. Cache breakdown
This is similar to the thunder herd problem. It happens when a hot key expires. A large number of requests hit the database.

Since the hot keys take up 80% of the queries, we do not set an expiration time for them.

4. Cache crash
This happens when the cache is down and all the requests go to the database.

There are two ways to solve this problem. One is to set up a circuit breaker, and when the cache is down, the application services cannot visit the cache or the database. The other is to set up a cluster for the cache to improve cache availability.

Over to you: Have you met any of these issues in production?

–
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://t.co/FIzCeaWsZV

[Manish Kumar Shah @manishkumar_dev]

Google, IBM and Harvard University are sponsoring Free courses for Python

𝟭. 𝗖𝗦𝟱𝟬𝗣 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆
https://t.co/lI20d9WbsW

𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗯𝘆 𝗜𝗕𝗠
https://t.co/HmlPnctss1

𝟯. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗯𝘆 𝗨𝗱𝗮𝗰𝗶𝘁𝘆 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
https://t.co/4278dCRuAN

𝟰. 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗯𝗮𝘀𝗶𝗰𝘀
https://t.co/o5sqOGIN15

𝟱. 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗙𝘂𝗹𝗹 𝗖𝗼𝘂𝗿𝘀𝗲 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝗯𝘆 𝗙𝗿𝗲𝗲𝗖𝗼𝗱𝗲𝗖𝗮𝗺𝗽
https://t.co/JYXyKkBOw1

6. Machine Learning with Python
https://t.co/C6agbumy0S

7. Python for Beginners (2023)
https://t.co/G5DW6VMdUg

8. Learn Python for Total Beginners
https://t.co/C4cfUmaRdV

9. Python for Data Science, AI & Development
https://t.co/gTbLYAFn8B

10. Python for Everybody Specialization
https://t.co/H7AIMAUUDn

11. Crash Course on Python
https://t.co/pZYQ3d4ppE

12. Google IT Automation with Python Professional Certificate
https://t.co/x4Hh93E5BZ

13. Python 3 Programming Specialization
https://t.co/KITQXqIqN2

14. Get Started with Python by Google
https://t.co/rfboj49Q8R

15. Programming in Python by Meta
https://t.co/reYWjwSIY9

16. Data Analysis with Python by IBM
https://t.co/3N3nlj9euz

Become a Python Backend Developer in 4 Months! 💼🔥

🚀 𝗬𝗼𝘂𝗿 𝟰-𝗠𝗼𝗻𝘁𝗵𝘀 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻 🚀

1️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟭: 𝗚𝗲𝘁 𝘆𝗼𝘂𝗿 𝗯𝗮𝘀𝗶𝗰𝘀 𝗿𝗶𝗴𝗵𝘁

1. Learn Python:https://t.co/Z8TDfyRV8S
2. Python Projects: https://t.co/pw0cz1MGzX
3. DSA with Python: https://t.co/nG52NVKXfv

2️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟮: 𝗗𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝗙𝗹𝗮𝘀𝗸 𝗮𝗻𝗱 𝗔𝗣𝗜

Learn Flask: https://t.co/J2Z8aQEuYa
Flask Projects: https://t.co/C6isapYd4U
Learn REST API with Flask: https://t.co/9Oog6HXBFU

3️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟯: 𝗠𝗮𝘀𝘁𝗲𝗿 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀

1. Learn Multithreading, Multiprocessing, Asyncio: https://t.co/AunQ4OnzJf
2. Gunicorn & Nginx with Flask: https://t.co/zF2lmOudfR
3. TDD with Python & Flask: https://t.co/frw4zRusnR
4. Basic RDBMS: https://t.co/ZW6cxPelhE
5. Learn SQL: https://t.co/HhRIlpjuh1 & https://t.co/Dw2NsYPzdP
6. PostgreSQL with Python: https://t.co/9kNBk3hnwI
7. Flask App with PostgreSQL: https://t.co/L3FLBwvatO

4️⃣ 𝗠𝗼𝗻𝘁𝗵 𝟰: 𝗣𝗼𝗹𝗶𝘀𝗵 𝘆𝗼𝘂𝗿 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗲𝗽𝗮𝗿𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗷𝗼𝗯 𝗺𝗮𝗿𝗸𝗲𝘁

1. Basics of Bash: https://t.co/xLUpDh9isZ
2. Basics of Docker: https://t.co/nAz86BWn13
3. Deploy Flask App with Docker: https://t.co/fYrFI2XbSG
4. GIT & GitHub: https://t.co/egDZe2ELnb
5. Python Portfolio on Github: https://t.co/Q6J2viqvPa
6. Python Resume Ideas: https://t.co/iaApQNhue1

Follow @manishkumar_dev for more such content.

[Javarevisited @javarevisited]

Top 5 Design Patterns Tutorials
1. Strategy - https://t.co/CVEhVBTghY
2. Decorator - https://t.co/EDcF56EUTm
3. Adapter - https://t.co/KJVX5m788m
4. Observer - https://t.co/a8Ce1QC6n2
5. Builder - https://t.co/10anyQ6DVU
6. DAO - https://t.co/PlYwijo2xR

[Manish Kumar Shah @manishkumar_dev]

Free Certification Courses to Learn Artificial Intelligence in 2024:

1. Introduction to Generative AI
https://t.co/MpjHSmzK3c

2. Python
https://t.co/gTbLYAFUY9

3. Statistics and R
https://t.co/G4BpzsYg2B

4. Data Science: Machine Learning
https://t.co/tvdobtNzgk

5. Mathematics & Statistics
https://t.co/UkJwpbSV9G

6. PowerBI
https://t.co/xtFHxf80D9

7. Machine learning and AI
https://t.co/c8CtfVaXhW

8. Big Data Analytics Course
https://t.co/KYAgFiVDXc

9. Machine Learning
https://t.co/k6YTXO23dM

10. Neural Networks and Deep Learning
https://t.co/oZCiqT7Xzx

11. Generative AI for Everyone
https://t.co/LpNO5qodaC

12. Generative AI with Large Language Models
https://t.co/wdb55vALtN

13. AI For Everyone
https://t.co/dQOjiOzyPM

14. Harvard AI Intro
https://t.co/pxEuO6ZeVq

15. Machine Learning Crash Course
https://t.co/ONUpLU0o48

16. Prompt Engineering for ChatGPT
https://t.co/nx6EOzZtI6

17. CS50's Introduction to Artificial Intelligence with Python
https://t.co/pxEuO6ZeVq

18. Introduction to Machine Learning
https://t.co/y7D0GtkuCG

19. LangChain LLMs:
https://t.co/mt9w1WtaKO

20. Data Science: Machine Learning
https://t.co/Ui81tN8zcR

21. Deep Learning Specialization
https://t.co/aurTSW681x

22. IBM AI Engineering Professional Certificate
https://t.co/LmBt8YB57F

23. Python for Data Science, AI & Development
https://t.co/gTbLYAFUY9

24. IBM Applied AI Professional Certificate
https://t.co/vVqmQ6WlrW

25. Introduction to Artificial Intelligence (AI)
https://t.co/zJBeTNC6xr

Happy Learning 🌟

Follow @manishkumar_dev for more such content