CodeRabbit releases its AI agent in major coding tools.
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Free AI code reviews directly in the IDE.
Check it: https://www.coderabbit.ai/ide
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You can now use VS code, Cursor or Windsurf for coding, and let CodeRabbitβs AI agent help you debug and find security vulnerabilities.
Free AI code reviews directly in the IDE.
Check it: https://www.coderabbit.ai/ide
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Microsoft just open sourced Copilot and Windows Subsystem for Linux under the MIT license.
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Opportunities are earned, not owed.
When you're given one, treat it with respect and professionalism.
Too often, people take them for granted β forgetting the effort, trust, and hard work a company puts in to stay afloat and create space for growth.
Show up. Be intentional. Deliver.
Because how you handle an opportunity says more about you than your resume ever will.
π t.me/techpsyche
When you're given one, treat it with respect and professionalism.
Too often, people take them for granted β forgetting the effort, trust, and hard work a company puts in to stay afloat and create space for growth.
Show up. Be intentional. Deliver.
Because how you handle an opportunity says more about you than your resume ever will.
π t.me/techpsyche
Remote Junior Smart Contract Engineer Job at Across Protocol
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Global Tech Jobs Hereπ
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SHARE WITH YOUR FRIENDSπ₯³π₯³
Project Ideas for Financial Analytics Portfolio in 2025
Data Analytics Resources π https://t.me/dataanalysisresourcestp
Data Analytics Resources π https://t.me/dataanalysisresourcestp
Remote Data Engineer (Rewards Data) Job at Chorus One
Skills Required
- Python
- REST APIs
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- Pipeline Orchestrators e.g Apache Airflow or Dagster
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Skills Required
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- REST APIs
- SQL
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- Pipeline Orchestrators e.g Apache Airflow or Dagster
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https://kenyatrends.co.ke/x9q7
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Mathematics Concepts Required for Data Science
Data Science Free Learning Resources Here π
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Data Science Free Learning Resources Here π
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Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
Explore Flutterβs Hot Reload π
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Boost your productivity with Flutterβs powerful Hot Reload feature! π
Flutter Roadmap & Free Learning Resources Hereπ
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#flutter
Flutterβs Hot Reload feature allows you to:
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- Speed up the development process.
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Boost your productivity with Flutterβs powerful Hot Reload feature! π
Flutter Roadmap & Free Learning Resources Hereπ
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BTC : $104782
ETH : $2491.02
BNB : $642.1
SOL : $165.74
π Market Cap :
Total : 3.42T
DeFi : 104.68B
24hr Vol : 121.85B
β‘οΈ Sentiment :
FGI : Greed (71)
Open Interest : 71.68B
24h Liquidation : $231.6M
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Forwarded from Java Resources TP
Master Java programming in 15 days with Free Resources ππ
Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.
Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.
Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.
Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.
Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice.
Here you can find Java Programming Books & Notes for FREE: π
https://t.me/javaresourcestp
FREE RESOURCES TO LEARN JAVA
Introduction to Programming in Java (https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/)
Java Tutorial for complete beginners (https://www.udemy.com/course/java-tutorial/)
Java Developer: Realistic Approach (https://t.me/javaresourcestp/39)
Java Project Ideas: (https://t.me/javaresourcestp/40)
Free Website to Practice Java (https://www.hackerrank.com/domains/java)
ENJOY LEARNINGππ
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.
Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.
Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.
Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.
Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice.
Here you can find Java Programming Books & Notes for FREE: π
https://t.me/javaresourcestp
FREE RESOURCES TO LEARN JAVA
Introduction to Programming in Java (https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/)
Java Tutorial for complete beginners (https://www.udemy.com/course/java-tutorial/)
Java Developer: Realistic Approach (https://t.me/javaresourcestp/39)
Java Project Ideas: (https://t.me/javaresourcestp/40)
Free Website to Practice Java (https://www.hackerrank.com/domains/java)
ENJOY LEARNINGππ
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Remote Senior Backend (Java & PHP) Engineer Job at Chess. com
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
Chess. com is hiring a remote Senior Backend (Java & PHP) Engineer. This is a full-time position that is 100% remote with no geographical restrictions. Work remotely from anywhere.
Chess. com - The world's largest chess community.
Apply Here:
https://kenyatrends.co.ke/gli4
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
HOW TO AVOID YOUR ADULT PROBELMS??
* Wake up early.
* Work out regularly.
* Eat good, real food.
* Live below your means.
* Find real friends with similar goals.
* Have more than 1 source of income.
* Do what you love for work
* Don't get into meaningless relationships.
* Stop hitting the snooze button.
* Create a routine.
* Write down a plan.
More Life Tips Hereπ
https://whatsapp.com/channel/0029VasaQtVGehEUFsVWAn3L
* Wake up early.
* Work out regularly.
* Eat good, real food.
* Live below your means.
* Find real friends with similar goals.
* Have more than 1 source of income.
* Do what you love for work
* Don't get into meaningless relationships.
* Stop hitting the snooze button.
* Create a routine.
* Write down a plan.
More Life Tips Hereπ
https://whatsapp.com/channel/0029VasaQtVGehEUFsVWAn3L
Forwarded from Machine Learning Resources TP
Struggling with Machine Learning algorithms? π€
Then you better stay with me! π€
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ππ»
1οΈβ£ ππ’πππ¦π§ππ π₯πππ₯ππ¦π¦ππ’π‘
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2οΈβ£ ππ’πͺ π§π’ ππ’π π£π¨π§π ππ§?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3οΈβ£ ππ’πͺ π§π’ πππππ‘π π§ππ πππ¦π§ πππ§?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! π)
β ππ’π‘π¨π¦ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Handling Imbalanced Data in ML: https://t.me/mlresourcestp/86
ENJOY LEARNINGππ
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Then you better stay with me! π€
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ππ»
1οΈβ£ ππ’πππ¦π§ππ π₯πππ₯ππ¦π¦ππ’π‘
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2οΈβ£ ππ’πͺ π§π’ ππ’π π£π¨π§π ππ§?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3οΈβ£ ππ’πͺ π§π’ πππππ‘π π§ππ πππ¦π§ πππ§?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! π)
β ππ’π‘π¨π¦ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Handling Imbalanced Data in ML: https://t.me/mlresourcestp/86
ENJOY LEARNINGππ
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R