๐CAEDREL MSI GIVEAWAY 2026๐
13 PRIZES FROM SIGNED JERSEYS, TO SECRETLAB CHAIRS TO A $3000 PC
๐Worldwide๐
CLICK THE LINK BELOW TO ENTER SUPER EASY JUST FOLLOW THE STEPSSSSSSSS
https://t.co/YWYrV2gOVb
AI tools every developer should know in 2026:
- Cursor โ writes 80% of your code
- Claude โ explains anything, reviews anything
- v0 โ frontend in seconds
- Perplexity โ research without ads
- Phind โ coding search engine
- Whisper โ transcribe anything
- ElevenLabs โ voice in 1 click
- Midjourney โ designs in seconds
- Runway โ video in minutes
- Bolt โ full apps from a prompt
- GitHub Copilot โ pair programmer 24/7
- ChatGPT โ for quick tasks
- Replit Ghostwriter โ instant prototyping
- Pika โ AI video generation
- Suno โ AI music for your apps
- Leonardo AI โ game/UI assets
- D-ID โ talking avatars
- Tavily โ AI search API
- LangChain โ build AI agents
- LlamaIndex โ connect your data to LLMs
- Pinecone โ vector database
- Supabase AI โ backend with AI
- Vercel AI SDK โ ship AI features fast
-Ollama โ run LLMs locally
- Replicate โ deploy models via API
- Gradio โ AI UI in minutes
- AutoGen โ multi-agent systems
- CrewAI โ autonomous workflows
Save this.
Youโll come back to it in 6 months.
A clustered index organizes your table like a sorted book.
A non clustered index works like a separate index page pointing to where information lives.
Clustered Index
1. Defines the physical order of data in the table
2. Only one clustered index is allowed
3. Stores actual data rows
4. Faster for reading and range queries
5. Doesnโt require extra storage
6. Perfect for: range-based searches (e.g., dates, IDs)
Non-Clustered Index
1. Doesnโt define physical order
2. You can create multiple non-clustered indexes
3. Stores pointers to the actual data rows
4. Slower compared to clustered indexes
5. Requires additional storage
6. Best for: specific column lookups (e.g., filtering by email, status, category)
Clustered Index โ Best for columns frequently used in sorting and range-based queries (e.g. ORDER BY, BETWEEN).
Non-Clustered Index โ Best for searching on multiple columns that are not the primary key, such as filtering and lookups.
- Claude for coding.
- Supabase for backend.
- Vercel for deploying.
- Namecheap for domain.
- Stripe for payments.
- GitHub for version control.
- Resend for emails.
- Clerk for auth.
- Cloudflare for DNS.
- PostHog for analytics.
- Sentry for error tracking.
- Upstash for Redis.
- Pinecone for vector DB.
You can literally ship a startup from your bedroom now.
Itโs not that deep bro.
โ If You're New To Python, Please Stop and Look Closely
๐จ Do NOT modify a list while iterating over it.
When you modify a list while iterating over it, the iterator gets confused. It doesn't know that the list has changed under its feet.
For example, this code below is broken:
items = [1, 2, 2, 3, 4]
for item in items:
if item == 2:
items.remove(item)
print(items)
# Output: [1, 2, 3, 4]
Here we use the remove() method to remove 2s from the list. But if you look at the output, 2 is still there. When you remove an item from a list, the list shifts left. But the loop keeps moving forward. So hereโs what really happens: the first 2 is found and removed. The second 2 shifts into its position.
The loop advances to the next index, and the 2 gets skipped.
The best way to do it is to iterate over a copy:
for item in items[:]:
if item == 2:
items.remove(item)
print(items)
# Output: [1, 3, 4]
When you iterate over a copy (shallow copy), the original copy index remains unchanged.
Even better, you can use list comprehension:
items = [x for x in items if x != 2]
๐ Never, ever modify a list (or any collection) while iterating over it directly. The iterator doesn't handle structural changes gracefully. It will skip elements, process the same element twice, or raise aย RuntimeErrorย (in some cases, like dictionaries). It's a bad practice.
Download a FREE copy of Python Tips and Tricks: A Collection of 100 Basic & Intermediate Tips & Tricks.
Link: https://t.co/V0pXEBAl67
Some of my Steam Winter Sale recommendations:
-75% Divinity: Original Sin 2
-30% Ninja Gaiden 4
-85% Dead Space
-90% Hogwarts Legacy
-50% Hollow Knight
-20% Silksong
-60% Space Marine 2
-15% Kingdoms of the Dump
-50% Kingdom Come: Deliverance II
-30% Pipistrello and the Cursed Yoyo
-10% Dispatch
-25% Megabonk
-20% Clair Obscur: Expedition 33
-34% Blue Prince
-55% Gravity Circuit
-80% Red Dead Redemption 2
-90% Dead Island 2
-25% Ninja Gaiden: Ragebound
-45% Dave The Diver
-60% God of War
-20% Ball X Pit
-80% Prey
-90% Tomb Raider Trilogy
-50% Metaphor: ReFantazio
-50% FF7 Rebirth
-50% Persona 4 Golden
-65% Cyberpunk 2077
-90% The Witcher 3
-25% Cronos
-60% SIFU
-60% Ratchet & Clank: Rift Apart
-60% Resident Evil 4
-30% SHINOBI: Art of Vengeance
-20% ARC Raiders
-40% Stray
-50% Lies of P
-80% Batman: Arkham Knight
-70% F.I.S.T.
-25% Bye Sweet Carole
-40% Nine Sols
I understand why they're leaving one by one. They might want to do something that Faker has not done yet. For Zues, it's the 3-peat meanwhile for Guma it's the 4-peat ๐ซก
๐๐ก๐๐ง๐ค ๐ฒ๐จ๐ฎ, ๐๐ฎ๐ฆ๐๐ฒ๐ฎ๐ฌ๐ข
'Gumayusi' ์ด๋ฏผํ ์ ์๊ฐ T1์ ๋ ๋ ์๋ก์ด ๋์ ์ ์์ํ๊ฒ ๋์์ต๋๋ค.
ํจ๊ปํ ์๊ฐ ๋์ ๋ค์ด ์ฌ๋ฆฐ ํธ๋กํผ์ 'Gumayusi' ์ ์๊ฐ ๋จ๊ธด ๋ฐ์์ทจ๋ ํ๊ณผ ํฌ๋ค์ ๋ง์์ ์ค๋๋๋ก ๋น๋ ๊ฒ์ ๋๋ค.
T1์ 'Gumayusi' ์ ์์ ํ์ ๊ณผ ํฌ์, ๊ทธ๋ฆฌ๊ณ ๋๋ถ์ ํ์ฝ์ ๋ํด ๊น์ ์กด๊ฒฝ๊ณผ ๊ฐ์ฌํจ์ ํํฉ๋๋ค.
์๋กญ๊ฒ ํผ์ณ์ง 'Gumayusi' ์ ์์ ์ฌ์ ์ ํ์ด์ด ๊ฐ๋ํ๊ธฐ ๋ฐ๋ผ๋ฉฐ, T1์ ๋ณํจ์๋ ์ง์ง์ ์์์ ๋ณด๋ด๊ฒ ์ต๋๋ค.
โGumayusiโ has concluded his time with T1 as he moves forward to take on a new challenge.
The trophies we lifted together and the legacy he built will always be a proud part of our history and in the hearts of our fans.
We are deeply grateful for his dedication, sacrifice, and incredible performances throughout his years with us.
As he begins this next chapter, weโll continue to cheer for him and wish him every success ahead.