🔥Dear Sparkers, as we stand on the edge of explosive power, gazing upon the birth of a brand-new universe, an unprecedented surge of excitement fills our hearts. Today, I am thrilled to introduce to you the Allspark New Universe, an energetic airdrop system plan that will pioneer a new chapter on the Blast.
🚀Let's embark together on this journey of exploration and witness the perfect fusion of explosive power and the new universe!
👇Please join now:
https://t.co/XRo7vCNWyG
🟡Initial invitation code:
90140625
65a36a14
e893268b
8ce51822
44cb25e1
Galxe's final week is here! https://t.co/YWnNvHnYAa
The DOP NFT will be available for claim next week🔥 Do keep an eye on our socials.
Reminder: you will need to have completed all 4 quests to be eligible for the reward.
🔥 #Bybit x #MAVIA: 1,250,000 $MAVIA Up for Grabs!
Follow @Bybit_Official and @MaviaGame, Quote this post and attach a screenshot of your player base, deposit and trade $MAVIA and answer the questions in the link to win big!
💫 Join Event: https://t.co/swWm97OCCB
#TheCryptoArk
500,000+ participants have completed DOP @Galxe Quests.
The Road to Mainnet - Week 3 @Galxe Quests begins now. Find answers to the quiz on X right here to earn points. 🔍 Only 1 week remaining.
Join Week 3: https://t.co/RVF8p2maFu
Week 2 has commenced! ☄️
🌠 Join here to continue the DOP Road to Mainnet Quest: https://t.co/RVF8p2maFu
200,000 applicants so far have completed Week 1 @Galxe Quests.
Complete 4 weeks to receive a reward!
As always, we heard our community and decided to gift our early supporters with a @Galxe quest that will teach you all about DOP!
Details on the quest:
🌠Duration - 4 weeks.
🌌Ends February 27th.
⭐Complete all challenges to receive the reward: The DOP NFT.
Start the quest now: https://t.co/2zOkNtpajS
Super Shrimp World Level 4 - The Barbecue!
Check out the Galxe page for level 4 here: https://t.co/xrEhSnlVcO
The final core mechanic, alongside The Reserve and The Goals, is The Barbecue!
It will function as an announced event that will happen at random times over the lifespan of SHRIMP - our innovative burn mechanic will allow for a fast-paced token environment where participation is the key to success. You can also choose not to participate, just understand that a certain amount of your tokens will be burned if you don't.
Our website will have a custom UI where you have to input a specific answer that we will tease through socials as marketing. It could be a puzzle, a trivia question, a video, the possibilities are endless.
Holders of SHRIMP will then be asked to input the answer on our site and deposit a flat amount of SHRIMP. In the early stages, the value of this deposit will be minimal, but as time goes by, we might adjust. We have full flexibility when it comes to the amount. This will create buying pressure from anyone owning less than the deposit amount, unless they want to get barbecued. If you don't participate, or get the answer wrong, we'll either burn a flat amount, or a specific % of your SHRIMP.
Users who submit the correct answer will get their SHRIMP back when the event concludes.
Users, developers, and validators can engage with the testnet through Galxe's Quest platform. The Galxe Quest platform will feature activities involving the core chain, its enshrined applications, and projects building in the ecosystem.
https://t.co/uZtGRKa6TJ
30 cybersecurity search engines for researchers:
1. Dehashed—View leaked credentials.
2. SecurityTrails—Extensive DNS data.
3. DorkSearch—Really fast Google dorking.
4. ExploitDB—Archive of various exploits.
5. ZoomEye—Gather information about targets.
1/ There are many ways to manage credentials in Kubernetes, some better than others: 🔐
- Kubernetes Secrets
- Encrypt Secrets (Bitnami, KSOPS)
- External secret stores
- Secrets Store CSI Driver
- Sidecar injectors (Vault, Conjur)
Here's the rundown: 🧵
I found an old collection of my tweets put together in a notion doc
Topics:
🔸 Processes
🔸 ML Engineering
🔸 MLOps
🔸 Data science
🔸 Data engineering
🔸 Tools
🔸 Math
🔸 Learning ML
And other things
100+ tweets in total
Retweet and I'll DM it to you
College completely failed to teach me data analysis.
So I spent over 10,000 hours learning Python.
Then, I picked the 13 best libraries for machine learning and data analysis.
But unlike college, these won't cost you $120,000.
Here they are for free: