TRUMP is set to unlock 40 million tokens on April 18th, accounting for 20% of the circulation supply, with a total value of approximately $413.2 million.📣‼️

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Ethereum has dropped 35% since Eric Trump recommended buying it.

On February 4, Eric Trump posted about buying $ETH at $2,904. A few hours later, he edited the post, removing the line: "Thank me later."

Seems like he knew there wouldn’t be much to thank him for.

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Roadmap to DevOps

#devops

Java is a popular programming language that is widely used for developing various types of applications, including web applications, mobile apps, desktop applications, and enterprise systems. Here are some key concepts to understand the basics of Java:

1. Object-Oriented Programming (OOP): Java is an object-oriented programming language, which means it focuses on creating objects that contain both data and methods to operate on that data. Key principles of OOP in Java include encapsulation, inheritance, and polymorphism.

2. Classes and Objects: In Java, a class is a blueprint for creating objects. An object is an instance of a class that represents a real-world entity. Classes define the properties (attributes) and behaviors (methods) of objects.

3. Variables and Data Types: Java supports various data types, including primitive data types (e.g., int, double, boolean) and reference data types (e.g., String, arrays). Variables are used to store data values in memory.

4. Methods: Methods in Java are functions defined within a class to perform specific tasks. They encapsulate behavior and can accept parameters and return values.

5. Control Flow Statements: Java provides control flow statements such as if-else, switch-case, loops (for, while, do-while), and break/continue statements to control the flow of program execution.

6. Inheritance: Inheritance is a key feature of OOP that allows a class (subclass) to inherit properties and behaviors from another class (superclass). It promotes code reusability and establishes an "is-a" relationship between classes.

7. Polymorphism: Polymorphism allows objects of different classes to be treated as objects of a common superclass. It enables methods to be overridden in subclasses to provide different implementations.

8. Abstraction: Abstraction involves hiding the complex implementation details and showing only the essential features of an object. Abstract classes and interfaces are used to achieve abstraction in Java.

9. Encapsulation: Encapsulation is the process of bundling data (attributes) and methods that operate on that data within a class. It helps in data hiding and protects the internal state of an object.

10. Exception Handling: Java provides mechanisms for handling exceptions that occur during program execution. The try-catch-finally blocks are used to handle exceptions gracefully and prevent program crashes.

Understanding these basic concepts of Java will help you get started with programming in Java. Practice writing Java programs, exploring different features of the language, and building small projects to strengthen your Java skills.

🌐 Beginner's Guide to Cryptocurrency

🔹 What is Cryptocurrency?
A digital or virtual currency secured by cryptography, enabling secure, peer-to-peer transactions without relying on banks.

🔹 Blockchain Basics
Cryptocurrency transactions are recorded on a blockchain, a decentralized ledger ensuring transparency and security.

🔹 Types of Blockchains
1. Public: Open to everyone (e.g., Bitcoin).
2. Private: Restricted access.
3. Hybrid: Combines public and private features.
4. Consortium: Controlled by a group of organizations.

🔹 Buying Crypto
Use trusted exchanges like Coinbase, Binance, and Gemini.

🔹 Crypto Wallets
Essential for storing crypto securely. Options include Phantom, MetaMask, and Ledger.

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5 Tech Courses From Michigan University 👇👇

1. Intro to AR/VR/MR/XR: Technologies, Applications & Issues
https://www.coursera.org/learn/intro-augmented-virtual-mixed-extended-reality-technologies-applications-issues

2. JavaScript, jQuery, and JSON
https://www.coursera.org/learn/javascript-jquery-json

3. Introduction to User Experience Principles and Processes
https://www.coursera.org/learn/introtoux-principles-and-processes

4. Data Collection and Processing with Python
https://www.coursera.org/learn/data-collection-processing-python

5. Building Web Applications in Django
https://www.coursera.org/learn/django-build-web-apps

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✅Cryptocurrencies look to offer several benefits over traditional money.

➡️These include:

➡️Speed: With cryptocurrencies, sending money – or value – across regions or continents happens in a few minutes. This trumps traditional cash, which takes hours to days in some cases.

➡️Security: Cryptocurrencies run on blockchains, which are distributed and decentralized. Since they are not centralized, there’s no single point of failure. This makes the blockchain harder to corrupt or hack.

➡️Censorship-resistant: Anyone can use cryptocurrencies. They offer users financial freedom. No government or central authority can censor or reverse a transaction once it’s completed

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The SQL Mindmap

Here are some Great features of Python coding:

Syntax Features:

1. Indentation-based syntax
2. Dynamic typing
3. No semicolons
4. Simple syntax for loops (e.g., for item in list:)
5. Context managers (with statement)

Language Features:

1. First-class functions
2. Lambda functions
3. Closures
4. Generators
5. Coroutines

Data Structures:

1. Lists (dynamic arrays)
2. Tuples (immutable lists)
3. Dictionaries (hash tables)
4. Sets (unordered collections)
5. NumPy arrays (for numerical computing)

Object-Oriented Programming (OOP) Features:

1. Classes
2. Objects
3. Inheritance
4. Polymorphism
5. Encapsulation

Functional Programming Features:

1. Map
2. Filter
3. Reduce
4. Lambda functions
5. Recursion

Exception Handling:

1. Try-except blocks
2. Raise statement
3. Custom exceptions

Modules and Packages:

1. Import statement
2. Modules (e.g., math, random)
3. Packages (e.g., numpy, pandas)
4. Virtual environments (e.g., venv)

Other Features:

1. Docstrings (documentation strings)
2. Type hints (optional static typing)
3. F-strings (formatted string literals)
4. Context managers (e.g., with open())
5. asyncio library (for asynchronous programming)

Silent Features:

1. Automatic memory management (garbage collection)
2. Dynamic loading of modules
3. Unicode support
4. Cross-platform compatibility
5. Extensive libraries and frameworks (e.g., NumPy, pandas, Flask)

These silent features make Python a powerful, flexible, and easy-to-use language.

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Free University Python Courses
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Amazon’s Nova Reel 1.1, launched April 8, 2025, now generates two-minute AI videos from 4,000-character prompts, using six-second shots. The Multishot Manual mode allows 20 shots from a 1280x720 image and 512-character prompt.

Common Tech abbreviations in full

Kawasaki unveiled Corleo, a hydrogen-powered robotic horse, at Expo 2025 in Osaka under the "Impulse to Move" concept. This four-legged AI-driven prototype navigates rough terrain, responding to rider body shifts.

What is Liquidity?

Liquidity refers to the degree to which an asset or security can be quickly bought or sold in the market without significantly affecting its price. In other words, it is the ease with which an asset can be converted into cash without incurring a significant loss in value . Highly liquid assets, such as cash or largecap stocks, can be easily bought or sold in the market without significantly affecting their price. On the other hand, assets with low liquidity, such as real estate or small cap stocks, can be difficult to sell quickly without having to lower the price.

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Web Developer Skills

Remote Senior DevOps/Platform Engineer Job at CData Software

Job Location: Remote(Worldwide)

Headquarters : Berlin
- GitOps
- CI/CD
- Kubernetes
- Linux & Containerization
- Experience with Public Cloud Infrastructure
- Experience with Infrastructure as Code
..................
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DAX Functions

Remote Mobile QA Engineer/Tester Job at Neybox

Job Location: Remote (Worldwide)

Company Headquarters: Limassol, Lemesós, Cyprus - Europe

Benefits
- Fully remote position
- 24 Days of paid leave
- Flexible working schedule
- Allowance for tech-related purchases

Apply Here:
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AI Tools

Remote Senior AI Engineer Needed at Lemon. io

Apply Here:
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Protect Your Money

Artificial Intelligence (AI) Roadmap
|
|-- Fundamentals
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus
| | |-- Probability and Statistics
| |
| |-- Programming
| | |-- Python (Focus on Libraries like NumPy, Pandas)
| | |-- Java or C++ (optional but useful)
| |
| |-- Algorithms and Data Structures
| | |-- Graphs and Trees
| | |-- Dynamic Programming
| | |-- Search Algorithms (e.g., A*, Minimax)
|
|-- Core AI Concepts
| |-- Knowledge Representation
| |-- Search Methods (DFS, BFS)
| |-- Constraint Satisfaction Problems
| |-- Logical Reasoning
|
|-- Machine Learning (ML)
| |-- Supervised Learning (Regression, Classification)
| |-- Unsupervised Learning (Clustering, Dimensionality Reduction)
| |-- Reinforcement Learning (Q-Learning, Policy Gradient Methods)
| |-- Ensemble Methods (Random Forest, Gradient Boosting)
|
|-- Deep Learning (DL)
| |-- Neural Networks
| |-- Convolutional Neural Networks (CNNs)
| |-- Recurrent Neural Networks (RNNs)
| |-- Transformers (BERT, GPT)
| |-- Frameworks (TensorFlow, PyTorch)
|
|-- Natural Language Processing (NLP)
| |-- Text Preprocessing (Tokenization, Lemmatization)
| |-- NLP Models (Word2Vec, BERT)
| |-- Applications (Chatbots, Sentiment Analysis, NER)
|
|-- Computer Vision
| |-- Image Processing
| |-- Object Detection (YOLO, SSD)
| |-- Image Segmentation
| |-- Applications (Facial Recognition, OCR)
|
|-- Ethical AI
| |-- Fairness and Bias
| |-- Privacy and Security
| |-- Explainability (SHAP, LIME)
|
|-- Applications of AI
| |-- Healthcare (Diagnostics, Personalized Medicine)
| |-- Finance (Fraud Detection, Algorithmic Trading)
| |-- Retail (Recommendation Systems, Inventory Management)
| |-- Autonomous Vehicles (Perception, Control Systems)
|
|-- AI Deployment
| |-- Model Serving (Flask, FastAPI)
| |-- Cloud Platforms (AWS SageMaker, Google AI)
| |-- Edge AI (TensorFlow Lite, ONNX)
|
|-- Advanced Topics
| |-- Multi-Agent Systems
| |-- Generative Models (GANs, VAEs)
| |-- Knowledge Graphs
| |-- AI in Quantum Computing

Best Resources to learn ML & AI 👇

AI, ML & Deep Learning (https://t.me/airesourcestp/24)

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Google Cloud Generative AI Path (https://www.cloudskillsboost.google/paths/118)

AI Cheat Sheet: https://t.me/airesourcestp/15

Prompt Engineering Course (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)

Prompt Engineering Guide (https://www.promptingguide.ai/)

Data Science Course (https://365datascience.pxf.io/Z6KDgk)

Machine Learning with Python Free Course (https://www.freecodecamp.org/learn/machine-learning-with-python/)

Machine Learning Free Book (https://t.me/mlresourcestp/16)

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Hands-on Machine Learning (https://t.me/mlresourcestp/19)

Deep Learning Nanodegree Program with Real-world Projects (https://www.udacity.com/course/deep-learning-nanodegree--nd101)

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