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I have such mixed feelings about the love languages thing specifically, because, like, gary chapman fucking sucks and there's no scientific validity to his work BUT
at the same time, i do think there's some value in recognising and discussing the fact that different people need different expressions of love in different amounts? Especially in relationships.
Like, I have just recently been having a discussion with my partner about how he really doesn't tend to express his affection through gifts, whereas (as someone who is mega-bad at expressing sincere feeling) I do rely heavily on giving gifts and doing things for people as a less scary way to express love. Joe doesn't like giving gifts, because he's scared he'll do it wrong, and is only so-so on receiving them. He prefers to express love through physical contact and saying nice things. I hate having nice things said to me unless I am allowed to immediately rebut them with a joke or sarcastic comment that makes them less scarily close to emotional honesty. too many words of affirmation and i will genuinely just start avoiding you because it is painfully awkward to me.
and none of that means we are fundamentally different categories of people, which is where the 5 Love Languages stuff falls into being absolute bollocks. but I have seen, and done, enough throwing the baby out with the bathwater on that to be a little defensive - I think reasonable applications of the concept are actually really quite valuable. and for me, the taxonomy Chapman suggests (words of affirmation, quality time, gifts, acts of service, physical touch) while not at all exhaustive or thorough, is a useful framework to hang those conversations on. bc, like, no, the way people communicate and receive affection is not universal, and from personal experience, assuming that it is can have really significant problems for a relationship.
...you could argue that this is parallel to BMI in terms of "tools being used in totally not the way they should be used" though, tbf.
I can't keep having the same conversations about love languages, mbti, iq, bmi, "brain fully formed at 25" and shit over and over again...
#bmi is my nemesis because i used to write health information for a living#“unhealthy bmi is” NO SHUT UP DON'T MAKE ME WRITE THAT BOLLOCKS#one of my pet projects in my last job was a complete overhaul of all our healthy eating stuff because GAWD#but also my honours project ended up with an interesting potential Science Development coming out of BMI data#which i still think merited further research#ALMOST LIKE BMI IS DESIGNED FOR LARGE-SCALE STATISTICAL ANALYSIS AND NOT INDIVIDUAL USE#i will say though: it doesn't JUST “hang around because of fatphobia and insurance companies”#in scientific use it hangs around because we don't have a better metric#we've been trying to develop a better statistical metric for subcutaneous fat makeup for DECADES#since before bmi even entered common use actually#you don't need to know someone's BMI for healthcare. you do need to know population BMIs for epidemiological analysis.#but under testing other measures of fat distribution#(e.g. hip:waist ratio; waist circumference; net mass; various adjusted combinations of the aforementioned with height)#just do not meet even BMI's fairly low bar for correlation with detailed fat deposit analysis#but the thing is that BMI is a quick and dirty estimate of a complex topic. which is fine when you're looking for population trends.#it is NOT fine when you're trying to make an analysis of an individual person's health or body composition or anything else#it is the equivalent of eyeballing a room full of people and putting them in order based on how old you think they are#it probably does mean you put the OAPs on one side of the room and the babies on the other!#but if you then went up to one individual person like “according to my calculations you're 65 so you must be retiring this year"#there is a high chance that you would have fucked up#both because you probably did not get their age that accurate AND because you are making a bunch of associated assumptions about them#this was a long tangent about a different topic to go off on in the tags#tl;dr BMI isn't completely useless. it's just not remotely useful for any individual person ever.#(see also: biological sex)
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#Online Institute for Data Science in Delhi NCR#Online dot net full stack developer course in Delhi NCR
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Exploring Data Structures with Java: A Comprehensive Guide
Data Structures with Java: A Comprehensive Guide

Understanding data structures is crucial for anyone looking to advance in software development. For those interested in mastering Java, data structures form a vital component of their learning journey. This guide dives into the fundamentals of data structures, how they work in Java, and why they’re essential in coding applications.
Whether you're a beginner or an experienced developer, exploring data structures with Java can unlock new opportunities, especially if you're considering a Java class in Pune or a Java course in Pune with placement. With hands-on experience in Java courses in Pune, you’ll develop practical skills that are highly valued by tech companies.
What Are Data Structures?
Data structures are ways of organizing and storing data efficiently so that it can be used effectively. Different data structures offer different ways to handle data, influencing aspects like processing speed and storage requirements. In Java, understanding the appropriate data structure for a specific problem is essential for building optimized and scalable applications.
Data structures are generally divided into:
Linear Data Structures: Arrays, linked lists, stacks, and queues.
Non-linear Data Structures: Trees, graphs, heaps, and hash tables.
With a structured Java course in Pune with placement, you'll dive deeper into each data structure, gaining hands-on experience with real-world scenarios.
Why Are Data Structures Important in Java?
Java is widely recognized for its platform independence, object-oriented features, and extensive libraries. In any Java class in Pune, you’ll learn how data structures enhance Java's capabilities by enabling efficient management of data. Key benefits include:
Faster Execution: Data structures help in reducing the execution time of programs by minimizing data access time.
Efficient Storage: They help in organizing data, allowing programs to function effectively even with large datasets.
Improved Code Quality: Using the right data structure simplifies code and reduces maintenance.
Commonly Used Data Structures in Java
Understanding the commonly used data structures is a fundamental aspect of any Java courses in Pune. Let's look at some widely used data structures in Java and their real-world applications.
1. Arrays
An array is a collection of elements stored in contiguous memory locations. It is one of the simplest data structures and is used to store fixed-size data collections. Arrays are great for storing data like a list of user names or numerical values. In a Java class in Pune, you’ll explore how arrays work and how they can be manipulated in Java.
Example:
int[] numbers = {1, 2, 3, 4, 5};
for (int i = 0; i < numbers.length; i++) {
System.out.println(numbers[i]);
}
2. Linked Lists
Linked lists consist of nodes, where each node contains a data field and a reference to the next node in the sequence. They are flexible in size and allow for efficient insertion and deletion. Java course in Pune with placement programs often focus on linked lists because they form the backbone of more complex data structures.
Example:
class Node {
int data;
Node next;
Node(int d) { data = d; next = null; }
}
3. Stack
A stack is a linear data structure that follows a Last In, First Out (LIFO) order. Java's Stack class offers methods like push and pop for adding and removing elements. Learning stacks in a Java class in Pune helps develop a fundamental understanding of memory management in applications.
Example:
Stack<Integer> stack = new Stack<>();
stack.push(10);
stack.push(20);
System.out.println(stack.pop()); // Output: 20
4. Queue
Queues follow a First In, First Out (FIFO) order. They are commonly used in applications such as customer service systems. In Java courses in Pune, you’ll see how queues help in processing data efficiently, making them ideal for order processing.
Example:
Queue<Integer> queue = new LinkedList<>();
queue.add(10);
queue.add(20);
System.out.println(queue.poll()); // Output: 10
5. Trees
Trees are non-linear data structures, with nodes arranged in a hierarchical manner. Binary trees, binary search trees, and AVL trees are different tree types. They are crucial in data organization, making them a staple topic in any Java course in Pune with placement.
Example:
class TreeNode {
int data;
TreeNode left, right;
public TreeNode(int data) {
this.data = data;
left = right = null;
}
}
6. Graphs
Graphs consist of nodes (vertices) connected by edges. They are useful in real-world applications like social networks, recommendation engines, and mapping. Graphs are often covered in Java classes in Pune, as they require an understanding of advanced data handling and traversal techniques.
7. Hash Tables
Hash tables store data in key-value pairs and offer constant-time data access. Java's HashMap class makes it easy to implement hash tables, which are used in caching, database indexing, and associative arrays. Through Java courses in Pune, you’ll understand hash tables’ critical role in managing large data sets effectively.
Advantages of Learning Data Structures in Java
With demand for skilled developers on the rise, Java courses in Pune have gained traction, especially for their focus on practical implementation and problem-solving skills. Here’s why learning data structures with Java is valuable:
Job Market Demand: Proficiency in data structures and Java opens up numerous job opportunities, particularly in software development, data science, and engineering.
Comprehensive Curriculum: A Java course in Pune with placement often includes in-depth modules on data structures, algorithms, and advanced Java topics. With placement assistance, it becomes easier to land a job right after completing the course.
Hands-On Projects: Many Java classes in Pune emphasize projects that allow students to apply their knowledge of data structures to real-world problems, enhancing practical understanding.
Enhanced Problem-Solving Skills: Data structures improve your ability to design solutions efficiently. This is highly valued in tech interviews, where companies test your logical and analytical skills.
Choosing the Right Java Course in Pune
Choosing the right Java course can make a significant difference in your career trajectory. When looking for a Java course in Pune with placement, consider factors like the course curriculum, industry relevance, and practical exposure. Java classes in Pune that cover comprehensive data structure modules help you stay competitive in the fast-evolving tech field.
Key Highlights of the Best Java Courses in Pune
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Project-Based Learning: Ensure the course includes hands-on projects on data structures.
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Conclusion
Data structures are an essential aspect of Java programming, shaping how data is stored, managed, and processed. A comprehensive Java class in Pune will equip you with the theoretical understanding and practical skills needed to apply data structures effectively. Enrolling in a Java course in Pune with placement offers the added advantage of hands-on experience and job assistance, making it an ideal choice for aspiring Java developers.
In summary, understanding data structures is crucial for efficient Java programming. With the right Java courses in Pune, you’ll build a strong foundation in data handling techniques that will serve you well in the software industry. Whether you’re just starting or looking to advance your skills, mastering data structures with Java will undoubtedly enhance your coding capabilities and employability.
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Unlock Your Career Potential with QIS Academy: The Best Software Training Institute in Kochi

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Tech Active Guide: Nurturing Connectivity with Remote Team Building
Explore virtual team building and remote work, uncovering benefits, challenges, and strategic initiatives for fostering collaboration. Visit us to know more.
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No-stop government’s biggest hurdle
Many Americans will never know the indignity and frustration of having to navigate several government agencies to get the support they need in a time of crisis, like a job loss, loss of health insurance or lack of food for their family. This is a good thing; however, this privilege most of us have also comes with a cost: the inability to empathize with those having to navigate our government…

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i love this!!! I’m a fan of the idea that they end up going to school a decent distance from D.C, and just speed back in the evenings for patrol, because one, it’s a very good school, two, gets them far from the Douglases, and three, added excuse of “good for secret identity”.
college freakazoid thoughts?
as in "what would dexter and freak's life be like in college"? because i posted a few thoughts on a show reboot and dex as an adult here and here. more to the point, however, i think dexter becomes an economics major and possibly goes into accounting. it bores freakazoid out of his skull, but hey, nothing's to say he can't moonlight as a superhero on the side.
needless to say, though, freak would be a terror to both villains and to dexter's sense of humor at all ages, but especially at the peak time of one's life where they're running on instant ramen and little sleep. there's definitely been more than one instance of dexter letting freak out, not because there's bad guys, but because he's practically dead on his feet and he needs some mental rest to survive midterms. it's easier when freak's the one piloting (and he's not always slouched over his desk), a sedentary lifestyle is a real and harmful thing, dex.
more often, though, he lets him out because while he likes his major, if he looks at one more computer screen, they might actually lose it, and freak needs to do something active. nothing more active than putting a bad guy in prison, after all.
#dexxy at MIT how sleep deprived will he get#im also giggling at the idea of freak DESPERATELY trying to get him to make use of the fact that the entire net is in his head but dex just#insists on doing it normally#no amount of rat patrol can make him stop facepalming#freakazoid#freakazoid series#dexter douglas#”you’re double majoring in Data Science and Economics#with a minor in computer sci and engineering”#“LET ME HELP”#”NO”
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Talking about AI with people who don't know about AI is always fun.
Guy: Yeah, an AI can write "apple", but it's never seen an apple.
Me: I mean, we have multi-modal models now, but I get what you mean.
Guy: What's that?
Me: Er, we have multi-modal models that are trained on text and pictures and video and audio. So they've "seen" an apple.
Guy: Wow, that's wild. But I guess they've never tasted or held an apple.
Me: I mean ... there is not, in principle, any reason you couldn't hook it up to sensors. There are artificial "tongues" used in food science and research that can "taste" things. Which is not the same thing as a human tongue, but you could, in theory, train a huge multi-modal neural net on a wide variety of taste inputs that were combined with auditory and visual inputs. They're not doing that, so far as I know.
Guy: A computer can hold and taste an apple?
Me: Yeah. I mean, the model could be trained on data, and then use tool hook-ins to control a robot arm with sensors, and then all the collected data could be used to train another model, which would, when writing about an apple, have associations between all its "senses" and so in some way would be able to describe an apple using different data streams. But I don't think that's what you meant when you said that.
Guy: No, it was. A computer can eat an apple. Huh.
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The Best News of Last Week - 29 April 2024
1. Net neutrality rules restored by US agency
The U.S. Federal Communications Commission voted 3-2 on Thursday to reinstate landmark net neutrality rules and reassume regulatory oversight of broadband internet rescinded under former President Donald Trump.
2. Airlines required to refund passengers for canceled, delayed flights
DOT will also require airlines to give cash refunds if your bags are lost and not delivered within 12 hours.
The refunds must be issued within seven days, according to the new DOT rules, and must be in cash unless the passenger chooses another form of compensation. Airlines can no longer issue refunds in forms of vouchers or credits when consumers are entitled to receive cash.
3. How new mosquito nets averted 13 million malaria cases
Compared to standard nets, the introduction of 56 million state-of-the-art mosquito nets in 17 countries across sub-Saharan Africa averted an estimated 13 million malaria cases and 24,600 deaths. The New Nets Project, an initiative funded by Unitaid and the Global Fund and led by the Innovative Vector Control Consortium (IVCC), piloted the use of dual-insecticide nets in malaria-endemic countries between 2019 and 2022 to address the growing threat of insecticide resistance.
4. Germany has installed over 400,000 ‘solar balconies’
This new wave of solar producers aren’t just getting cheap electricity, they’re also participating in the energy transition.
More than 400,000 plug-in solar systems have been installed in Germany, most of them taking up a seamless spot on people’s balconies.
5. Voyager-1 sends readable data again from deep space
The US space agency says its Voyager-1 probe is once again sending usable information back to Earth after months of spouting gibberish.
The 46-year-old Nasa spacecraft is humanity's most distant object.
6. Missing cat found after 5 years makes 2,000-km journey home
Five years after it ran out the door, a lost cat was returned to a couple in Nevada after it was found thousands of kilometres away. The couple are praising the cat’s microchip for helping reunite them.
7. Restoring sight is possible now with optogenetics
Max Hodak's startup, Science, is developing gene therapy solutions to restore vision for individuals with macular degeneration and similar conditions. The Science Eye utilizes optogenetics, injecting opsins into the eye to enhance light sensitivity in retinal cells.
Clinical trials and advancements in optogenetics are showing promising results, with the potential to significantly improve vision for those affected by retinal diseases.
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That's it for this week :)
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Dramatic confirmation that the sea ice in the Arctic has been stable for nearly two decades is contained in a recently published science paper from a team led by Dr Mark England from the University of Exeter. The finding is of course obvious to anyone who studies the data but it will inconvenience the activist cranks who continue to promote supposed reductions in Arctic sea ice as an important sign of their imaginary ‘tipping points’ and their fake climate crisis. Despite the data showing the ice has been stable over every month in the year since around 2007, Sir David Attenborough told BBC viewers in 2022 that the region could be summer ice-free by 2035. The climate hysteric Al Gore never quite recovered his authority when he said all the ice could be gone by 2014. There is still an occasional sighting in mainstream media but the ice vanishing act is having to be retired. In fact the smarter scientists seem to be rushing to accept the ice data while moving the climate trenches back to more defendable lines. The England paper notes a “surprising, but not unexpected pause” simulated by climate models, “relatively frequently”. Old school to the end, the Guardian reported last March that “scientists say” that ice-free summers were possible in the Arctic within the next decade.
...
These scientists are not the only ones to spot something that appears to have alluded mainstream journalists, scientists and politicians, keen as always to promote the Net Zero fantasy. Recently, the Arctic scientist Allan Astrup Jensen noted that the summer ice had plateaued from 1979-97, and then fell for 10 years. Either side of the drop – manna from heaven for climate cranks – there have been losses, albeit minimal ones. In fact, evidence shows that 1979 was a high cyclical point in Arctic sea ice, a cherry-picked date that conveniently marks the start of more accurate satellite measurements. Sea ice extent was lower in the 1950s and observations stretching back 200 years suggest a 70-80 year waxing and waning cycle. In line with these findings, scientists suggest ocean currents play a large part in determining the sea ice extent.
Oh look, more manipulated data and fake charts. Weird how that seems to be the only way to ever find "evidence" of this climate emergency I'm told is supposed to be the biggest threat humanity has ever faced.
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Welcome to Geekonik, your go-to platform for mastering the latest in tech and programming. Whether you’re a beginner eager to start your coding journey or an experienced developer looking to sharpen your skills, we offer a diverse range of expert-led courses designed to help you succeed in today’s ever-evolving tech industry.
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Exploring Data Structures with Java: A Comprehensive Guide
Understanding data structures is crucial for anyone looking to advance in software development. For those interested in mastering Java, data structures form a vital component of their learning journey. This guide dives into the fundamentals of data structures, how they work in Java, and why they’re essential in coding applications. Whether you’re a beginner or an experienced developer, exploring…
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Best Python Training in Kochi
Excel in Python programming with the Best Python Training Institute in Kochi, empowering you for full-stack development.
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+++Breaking Climate Catastrophism News+++
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From social data #ClimateCatastrophism is provably a secular religion that defies mainstream (as well as sceptical) science. Climate doom & Net Zero salvation form its main narrative, which must evoke emotion for the religion to survive. Proof shown here:
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Net Zero is the IQ of its supporters.
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Outsource Data Engineering for Business Success | Tech Active
Explore how outsourcing data engineering can fuel business success with Tech Active's expert guide. Learn to reduce costs, gain expertise, and make data-driven decisions for growth.
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