Java supports thread-based multitasking.
Java program can be divided into several threads and those threads can be executed in parallel to support multi-tasking.
Java: Beginner Guide to Multithreading
a thread...
Java supports thread-based multitasking.
Java program can be divided into several threads and those threads can be executed in parallel to support multi-tasking.
1. By Implementing Runnable Interface
2. By extending the Thread class
Steps:
1. Implement Runnable Interface
2. Override the run() method, and put your code inside it.
3. Pass the instance of your class to the Thread class constructor.
4. Call the start() method to run your thread.
Steps:
1. Extend your class with Thread class
2. Override the run() method, and put your code inside it.
3. Instantiate your class.
4. Call the start() method to run your thread.
Because it's an Interface, you can also extend other classes in the future and also implement other interfaces.
It has 5 different phases in its lifecycle:
1. New
2. Runnable
3. Running
4. Waiting
5. Dead
run() - Actual task of the thread is defined here.
start() - Starts the thread
join() - Wait for thread to die.
setName() - Give name to our thread.
getName() - Returns the thread name.
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Core Java can be Overwhelming, in the beginning!
Let's see what are those topics you should cover and what you can skip in Core Java.
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- Basics of how Garbage Collection Works.
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- Encapsulation
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- What is their use, How to use them
- Various sizes of data types
- Arrays, practice a few of its problems
- 2D/3D arrays and their use cases, practice a few problems
a roadmap...
Core Java can be Overwhelming, in the beginning!
Let's see what are those topics you should cover and what you can skip in Core Java.
1. Theoretical Concepts (2 days)
- Features of Java
- JVM, JRE & JDK
- Memory areas in Java
- Basics of how Garbage Collection Works.
2. OOP Concepts (3 days)
- Objects and Classes
- Inheritance
- Polymorphism
- Encapsulation
This topic forms the basis of your Java learning. Spent enough time on this topic and understanding it using real-world examples and some
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— Vikas Rajput (@vikasrajputin) April 4, 2022
a thread...
3. Primitives data types, Operators & Arrays (3 days)
- Various primitives/non-primitives data types, operators
- What is their use, How to use them
- Various sizes of data types
- Arrays, practice a few of its problems
- 2D/3D arrays and their use cases, practice a few problems
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! ๐
It's all in French, but if you're up for it you can read:
โข Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
โข Their high-level legal decision: https://t.co/hwpiEvjodt
โข The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent โ this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have โ though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
โข Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
โข Their high-level legal decision: https://t.co/hwpiEvjodt
โข The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent โ this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have โ though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
