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Sharing updates & resources on Programming & Coding, Cryptocurrency, Blockchain, Web 3, Python, Data Science, Data Analysis, Java, Web Dev, AI, App Dev, ML, Cyber Security & Hacking & More

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✔️ Last week's crypto market highlights

⚫️ Blum co-founder Smerkis arrested in Moscow on fraud charges
⚫️ Russia drafts bill to seize digital currency in crimes
⚫️ Strategy acquires 7,390 BTC for $764.9m
⚫️ Argentina shuts down LIBRA memecoin investigation unit
⚫️ Societe Generale to launch USD-pegged stablecoin on Ethereum
⚫️ South Korea lifts crypto investment ban in June
⚫️ Bitcoin hits new all-time high surpassing $110,000
⚫️ Kraken to offer tokenized stocks and ETFs
⚫️ Cetus loses $220m in smart contract exploit
⚫️ Trump recommends 50% tariff on EU goods

⚡️ t.me/cryptostract
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Remote Data Analyst Job - Binance Accelerator Program

Who may apply?
- Current university students and recent graduates

Apply Here:
https://kenyatrends.co.ke/ri5q

Global Tech Jobs Here👇
https://t.me/techpsyche

SHARE WITH YOUR FRIENDS🥳🥳
This is a problem when people make 6 figures.

They ape into supercars and fancy stuff.

When they could have aped into investments and become decamillionaires.

Super short sighted.

⚡️ t.me/cryptostract
📊 Next-level charts in seconds
Tired of boring reports and lifeless slides? We’ve got you. Here’s a roundup of tools to turn your data into clear, scroll-stopping visuals..fast.

Datawrapper: Perfect for quick charts right in your browser. Great when you’ve got a meeting in 10 minutes and need to make the numbers look smart. Bonus: weekly inspo from the best visualizations.

Flourish: Want your charts to move? This one’s for making interactive, animated graphics that actually hold attention. Even boring stats start to look cool.

RAWGraphs: An open-source tool for weird and wonderful custom charts. You can map your data into just about any shape. Yes, even a capybara.

💼 Save this for your next report. (https://t.me/dataanalysisresourcestp/181)

More Data Visualization Resources Here:
https://t.me/dataanalysisresourcestp
Complete Roadmap to land a Data Scientist job in 2025

Phase 1: Build Foundations (3-6 months)

1. Learn Python programming basics
2. Understand statistics and mathematics concepts (linear algebra, calculus, probability)
3. Familiarize yourself with data visualization tools (Matplotlib, Seaborn)

Phase 2: Data Science Skills (6-9 months)

1. Master machine learning algorithms (scikit-learn, TensorFlow)
2. Learn data manipulation frameworks (Pandas, NumPy)
3. Study data visualization libraries (Plotly, Bokeh)
4. Understand database management systems (SQL, NoSQL)

Phase 3: Practice and Projects (3-6 months)

1. Work on personal projects (Kaggle competitions, datasets)
2. Participate in data science communities (GitHub, Reddit)
3. Build a portfolio showcasing skills

Phase 4: Job Preparation (1-3 months)

1. Update resume and online profiles (LinkedIn)
2. Practice whiteboarding and coding interviews
3. Prepare answers for common data science questions

Best Resources to learn Data Science 👇👇

Python Tutorial (http://pythontutorial.net/)

Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/104)

Data Science Course (http://kaggle.com/learn) by Kaggle

Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google

Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)

Python Interview Resources (https://t.me/pythonresourcestp/40)

Like for more ❤️

ENJOY LEARNING👍👍

Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
🇫🇮 🏴 Man used AI to make child abuse images

A Scottish court has sentenced telecoms worker Risto Bergman, 42, to an 18-month Community Payback Order for generating child sex abuse images using artificial intelligence. Originally from Finland, Bergman used a publicly available AI app and explicit search terms to create highly realistic images of young girls being abused. Prosecutors revealed that the app relied on a digital archive of real child abuse material shared by pedophiles online.

Some of the AI-generated images were classified as Category A, the UK’s most extreme level of abuse content. The material was discovered on a storage unit in Bergman’s former home in Paisley. Bergman pleaded guilty to the charges and was added to the sex offenders’ register, but avoided jail time. Prosecutor David Bernard emphasised that this was not a victimless crime, as each AI image depicted real children who had been abused to create the source material.

🔆 t.me/techpsyche
🎬 Top 5 Must-Subscribe YouTube Channels for Flutter Developers 🚀

1️⃣ The Net Ninja – Clear and concise Flutter tutorials, from beginner to advanced. Perfect for mastering the basics! 👨‍💻

2️⃣ Reso Coder – Deep dives into Flutter architecture, best practices, and clean code techniques. 🏗

3️⃣ Flutter (Official) – Stay updated with official tutorials, events, and Flutter releases straight from the source! 📢

4️⃣ CodeWithChris – Beginner-friendly tutorials with real-world Flutter app projects. Great for hands-on learning! 📱

5️⃣ Johannes Milke – Short and practical Flutter tips, covering widgets, packages, and UI design tricks. 💡

💥 Pro Tip: Watch and code along to speed up your Flutter skills! 🚀

Boost Your Flutter App Performance: https://t.me/mobiledevresourcestp/101

#flutter
Harvard CS50 – Free Computer Science Course (2023 Edition)

Here are the lectures included in this course:

Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity

Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/

NVIDIA FREE AI Certification Courses
https://t.me/techpsyche/617

IBM Free Certification Courses
https://tinyurl.com/42nau8jx

More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
7 Baby steps to start with Machine Learning:

1. Start with Python
2. Learn to use Google Colab
3. Take a Pandas tutorial
4. Then a Seaborn tutorial
5. Decision Trees are a good first algorithm
6. Finish Kaggle's "Intro to Machine Learning"
7. Solve the Titanic challenge

ML Resources: t.me/mlresourcestp
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𝗧𝗼𝗽 𝟱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀💻

* Data Science Foundations
* SQL for Data Science
* Python for Data Science
* Introduction to Data Science
* Data Science Projects 

𝐋𝐢𝐧𝐤 👇:- 

https://tinyurl.com/yzpdp26d

Enroll For FREE & Get Certified 🎓