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.
💰 Powered by http://t.me/techpsyche
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.
💰 Powered by http://t.me/techpsyche
Forwarded from Java Resources TP
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.
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.
Are crypto transactions anonymous: https://t.me/techpsyche/677
Cryptocurrency Mining: https://t.me/techpsyche/663
More Crypto Resources Here:
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#crypto #web3 #blockchain #finance
🔹 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.
Are crypto transactions anonymous: https://t.me/techpsyche/677
Cryptocurrency Mining: https://t.me/techpsyche/663
More Crypto Resources Here:
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#crypto #web3 #blockchain #finance
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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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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
Join https://t.me/techpsyche for more:
ENJOY LEARNING 👍👍
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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
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
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➡️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
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
#crypto #web3 #blockchain #finance
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Tech Psyche . Tech Resources . Tech Tips & Tricks . Programming Tutorials, Cheat Sheets, Resources . Udemy Free Coupons Courses
🌐 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…
🔹 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…
Forwarded from Python Resources TP
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.
Like for more ..❤️
Free University Python Courses
https://t.me/pythonresourcestp/41
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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.
Like for more ..❤️
Free University Python Courses
https://t.me/pythonresourcestp/41
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https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
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Python Resources TP
Master Python programming in 15 days with Free Resources 😄👇
Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's…
Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's…
👍1
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.
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.
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
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.
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
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
..................
Apply Here:
https://kenyatrends.co.ke/pfhl
Job Location: Remote(Worldwide)
Headquarters : Berlin
- GitOps
- CI/CD
- Kubernetes
- Linux & Containerization
- Experience with Public Cloud Infrastructure
- Experience with Infrastructure as Code
..................
Apply Here:
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👍1
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:
https://kenyatrends.co.ke/j4pi
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:
https://kenyatrends.co.ke/j4pi
👍1
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
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)
AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977
Learn Python for Free (https://t.me/pythonresourcestp/22)
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)
Resources WhatsApp channel (https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R)
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)
Like this post for more roadmaps ❤️
Follow & share the channel link with your friends: https://t.me/techpsyche
ENJOY LEARNING👍👍
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
|
|-- 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)
AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977
Learn Python for Free (https://t.me/pythonresourcestp/22)
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)
Resources WhatsApp channel (https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R)
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)
Like this post for more roadmaps ❤️
Follow & share the channel link with your friends: https://t.me/techpsyche
ENJOY LEARNING👍👍
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https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
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Artificial Intelligence Resources TP . AI Tools
AI, Machine Learning & Deep Learning
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SOUTH AFRICA JOBS
The Legends Agency is Hiring 48 Tech Positions in South Africa
1. SAP Back-End Developer
2. SAP Front-End Developer
3. Data Analyst (Microsoft Dynamics 365 ERP)
4. Affiliate Marketing Executive
5. T-Shaped Engineer (Junior Software Developer)
6. Online Marketing Administrator (E-commerce)
7. Cybersecurity recruitment specialists | Talent Solutions Partner
8. SEO Manager
9. Web Developer
10. Virtual Assistant
11. Snr PHP Developer or Full Stack Developer or Snr Dev
12. Web and Design Project Manager
13. AI Lead
14. Digital Marketing Data Analyst
15. Senior Software Engineer – C# (Windows Native App)
16. Social Media Content Creative Director
17. UX Writer and Content Strategist
18. Content & Social Media Manager
19. AWS Architect and Database Administrator
20. Content Creator and Social Media Video Editor
21. Senior Python / GoLang Developer
22. Data & Business Analyst (Remote South Africa)
23. Front End Developer
24. SEO & Digital Marketing Specialist
25. AWS Full Stack Developer
26. Junior Designer
27. Full Stack Developer
28. Customer Service – Gaming – Remote
29. Next.js Developer
30. UI/UX Graphic Designer
31. Marketing and Social Media Manager
32. Digital Marketing Manager (Zoho)
33. Product/UX Designer
34. Cloud Engineer/Azure Expert
35. IT Support Tier 1 and 2
36. Marketing Manager (Remote)
37. Mid-Senior Full Stack Developer (Ruby developer)
38. Software Engineer Intern
39. IT Engineer
40. CNC Programmer
41. Designer & Retoucher (Graphic Designer)
42. Senior Payroll Administrator
43. Content Specialist/Manager
44. Digital Marketing Assistant
45. IT Support
46. Senior OpenEdge Database Administrator
47. IT Support Engineer
48. Senior WordPress Developer
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Share with your friends🥳🥳
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The Legends Agency is Hiring 48 Tech Positions in South Africa
1. SAP Back-End Developer
2. SAP Front-End Developer
3. Data Analyst (Microsoft Dynamics 365 ERP)
4. Affiliate Marketing Executive
5. T-Shaped Engineer (Junior Software Developer)
6. Online Marketing Administrator (E-commerce)
7. Cybersecurity recruitment specialists | Talent Solutions Partner
8. SEO Manager
9. Web Developer
10. Virtual Assistant
11. Snr PHP Developer or Full Stack Developer or Snr Dev
12. Web and Design Project Manager
13. AI Lead
14. Digital Marketing Data Analyst
15. Senior Software Engineer – C# (Windows Native App)
16. Social Media Content Creative Director
17. UX Writer and Content Strategist
18. Content & Social Media Manager
19. AWS Architect and Database Administrator
20. Content Creator and Social Media Video Editor
21. Senior Python / GoLang Developer
22. Data & Business Analyst (Remote South Africa)
23. Front End Developer
24. SEO & Digital Marketing Specialist
25. AWS Full Stack Developer
26. Junior Designer
27. Full Stack Developer
28. Customer Service – Gaming – Remote
29. Next.js Developer
30. UI/UX Graphic Designer
31. Marketing and Social Media Manager
32. Digital Marketing Manager (Zoho)
33. Product/UX Designer
34. Cloud Engineer/Azure Expert
35. IT Support Tier 1 and 2
36. Marketing Manager (Remote)
37. Mid-Senior Full Stack Developer (Ruby developer)
38. Software Engineer Intern
39. IT Engineer
40. CNC Programmer
41. Designer & Retoucher (Graphic Designer)
42. Senior Payroll Administrator
43. Content Specialist/Manager
44. Digital Marketing Assistant
45. IT Support
46. Senior OpenEdge Database Administrator
47. IT Support Engineer
48. Senior WordPress Developer
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