#best data structures and algorithms course

[scholarhatedu]

Best Data Structures and Algorithms Course

Data Structures and Algorithms are the backbone of computer science. They are essential for solving complex problems efficiently, making them indispensable skills for programmers and software developers. To master these concepts, it's crucial to choose the right course. In this article, we'll explore some of the best-known courses available online, and we'll also introduce you to scholarhat's Best Data Structures and Algorithms Course, a program designed to take your understanding to the next level.

1.Udemy - Data Structures and Algorithms: Deep Dive Using JavaUdemy Data Structures and Algorithms CourseThis course provides a comprehensive understanding of Data Structures and Algorithms using Java. It covers a wide range of topics with hands-on coding exercises. 2. Scholarhat - Best Data Structures and Algorithms Course

scholarhat Best Data Structures and Algorithms Course

When it comes to mastering Data Structures and Algorithms, scholarhat's Best Data Structures and Algorithms Course stands out as an exceptional choice. With a curriculum meticulously designed by experts, this program combines theoretical knowledge with hands-on coding exercises. Moreover, the course emphasizes practical application, ensuring you're not only learning the theory but also applying it in real-world scenarios. With experienced instructors and a supportive community, this course offers an unparalleled learning experience.

3. LinkedIn Learning - Learning Data Structures and AlgorithmsLinkedIn Learning Data Structures and Algorithms CourseThis course offers a practical approach to learning Data Structures and Algorithms, with a focus on real-world applications.

4. GeeksforGeeks - Data Structures and AlgorithmsGeeksforGeeks Data Structures and Algorithms CourseGeeksforGeeks offers a plethora of tutorials, articles, and practice problems on Data Structures and Algorithms. It's a valuable resource for self-paced learning.

5. Codecademy - AlgorithmsCodecademy Algorithms CourseCodecademy provides an interactive platform for learning algorithms. The course is suitable for beginners and covers essential algorithmic concepts.

6. LeetCode - Data Structures and AlgorithmsLeetCodeWhile not a traditional course, LeetCode is a popular platform for practicing Data Structures and Algorithms through coding challenges. It's an excellent resource to reinforce your skills.

7. YouTube - MyCodeSchoolMyCodeSchool YouTube ChannelMyCodeSchool offers a series of video tutorials on Data Structures and Algorithms. The tutorials are clear, concise, and perfect for visual learners.

8. Hackerrank - Data StructuresHackerrank Data Structures CourseHackerrank offers a series of tutorials and challenges to help you master various data structures.

9. Princeton University - Algorithms Part I and Part II (Coursera)Princeton University Algorithms Part I Princeton University Algorithms Part IIThis series of courses covers fundamental algorithms and data structures, taught by renowned professors from Princeton University. Conclusion

Selecting the right course to master Data Structures and Algorithms is crucial for any aspiring programmer. The courses mentioned above offer excellent options for learners at various levels of expertise. However, for an exceptional learning experience, consider enrolling in scholarhat's Best Data Structures and Algorithms Course. With its industry-leading curriculum and personalized support, it's the perfect choice to advance your skills in this critical area of computer science.

Enroll in scholarhat's course now. Take the first step towards becoming a Data Structures and Algorithms expert!

[sunbeaminfo]

Master Data Structures & Algorithms with Java at Sunbeam Institute

In today’s fast-paced tech industry, having a strong foundation in Data Structures and Algorithms (DSA) is essential for anyone aiming to excel in programming and software development. Whether you're preparing for technical interviews or looking to enhance your problem-solving skills, mastering DSA with Java can give you a competitive edge. Sunbeam Institute offers a comprehensive DSA course designed to help students and professionals gain in-depth knowledge and hands-on experience.

Why Choose the DSA Course at Sunbeam?

✅ Structured Learning Approach – Our curriculum covers fundamental to advanced DSA concepts, ensuring step-by-step learning. ✅ Hands-on Coding Practice – Learn by implementing real-world problems in Java. ✅ Industry-Relevant Curriculum – Designed by experts to meet the demands of modern tech roles. ✅ Expert Guidance – Get trained by experienced instructors with deep industry knowledge. ✅ Interview Preparation – Strengthen your problem-solving skills to excel in coding interviews at top companies.

What You Will Learn

📌 Fundamentals of Data Structures – Arrays, Linked Lists, Stacks, Queues, Trees, Graphs 📌 Algorithmic Techniques – Sorting, Searching, Recursion, Dynamic Programming, Greedy Algorithms 📌 Complexity Analysis – Understand time and space complexity to optimize your code 📌 Real-World Applications – Implement DSA concepts in Java with practical projects

Who Can Enroll?

🔹 Students aiming to build a strong programming foundation 🔹 Professionals preparing for coding interviews 🔹 Developers looking to enhance their problem-solving skills 🔹 Anyone interested in mastering Data Structures and Algorithms with Java

[tccicomputercoaching]

Learn DSA in just 1 month at TCCI Computer Coaching Institute. Mastering key concepts, problem-solving techniques, and coding skills with expert guidance will help boost your career with fast-track DSA training!

[limatsoftsolutionsworld]

Data structures and algorithms courses in Bangalore

Explore coding mastery with our Data Structures and Algorithms Courses in Bangalore. Guided by expert instructors, delve into essential concepts for software development excellence. Gain proficiency in algorithmic problem-solving and data structures, equipping yourself for success in the tech industry. Elevate your coding skills in the dynamic learning environment of Bangalore, a thriving tech hub.

Visit Us - https://www.limatsoftsolutions.co.in/data-structures-and-algorithms-course

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LinkedIn - https://in.linkedin.com/company/limatsoftsolutions

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Phone - +91 879 948 8096

[scoonsalicious]

Unwanted: Chapter 22, Untold - Pt. 1

Pairing: Bucky Barnes x Avenger!Fem!Reader

Summary: When your FWB relationship with your best friend Bucky Barnes turns into something more, you couldn’t be happier. That is, however, until a new Avenger sets her sights on your super soldier and he inadvertently breaks your heart. You take on a mission you might not be prepared for to put some distance between the two of you and open yourself up to past traumas. Too bad the only one who can help you heal is the one person you can no longer trust.

Warnings: (For this part only; see Story Masterlist for general Warnings) Language, alcohol consumption, strippers,

Word Count: 1.5k

Previously On...: Tony expressed his concerns about you going on this mission.

A/N: When Tony Met Pocket!

NOTE! The tag list is a fickle bitch, so I'm not really going to be dealing with it anymore. If you want to be notified when new story parts drop, please follow @scoonsaliciousupdates

Banner By: The absolutely amazing @mrsbuckybarnes1917!

Thank you to all those who have been reading; if you like what you've read, likes, comments, and reblogs give me life, and I truly appreciate them, and you!

Taglist: (Sadly, tag list is closed; Tumblr will not let me add anyone new. If you want to be notified when I update, please Follow me for Notifications!) @jmeelee @cazellen @mrsbuckybarnes1917 @blackhawkfanatic @buckybarnessimpp @hayjat @capswife @itsteambarnes @marygoddessofmischief @sebastians-love @learisa @lethallyprotected @rabbitrabbit12321 @buckybarnesandmarvel @fanfictiongirl77 @calwitch @fantasyfootballchampion @selella @jackiehollanderr @wintercrows @sashaisready @missvelvetsstuff @angelbabyyy99 @keylimebeag @maybefoxysouls @vicmc624 @j23r23 @wintercrows @crist1216 @cjand10 @pattiemac1@les-sel @dottirose @winterslove1917 @harperkenobi @ivet4 @casey1-2007 @mrsevans90 @steeph-aniie @bean-bean2000 @beanbagbitch @peachiestevie @wintrsoldrluvr @shadowzena43

Tumblr will not let me directly tag the following: @marcswife21 @erelierraceala @jupiter-107 @doublejeon @hiqhkey @unaxv @brookeleclerc

Boston, 2002

The bass inside the club was pounding, reverberating through the air and your skull as you made your way onto the floor. The day had already been unbearably long, and after your shift tonight, you still had a mountain of reading to do for your Introduction to Data Structures and Algorithms class. But, MIT courses didn’t come cheap, even at two classes a semester, and you needed every penny you could make from your shifts at Beantown Burlesque. It would make more sense, financially, to work a club closer to the college, but the idea of running into any of your classmates or, god forbid, your professors, made the extra time and money you spent commuting from Cambridge to inner Boston completely worth it. 

Not that you expected a lot of tips tonight. It would have been better if you’d been scheduled to work the stage before they sent you to the floor; you were always requested for more lap dances after the patrons had seen you work the pole. You’d just have to work your ass off to entice a couple of lonely men into the VIP booth. But that always came with the additional task of fighting off requests for additional “services.” You may have been desperate for cash, but you were quite done with having your body sold for money, thank you.

You made your way over to the bar, hoping to get some intel on tonight’s patrons so you could shoot your best shot. 

“How’s it goin’ tonight, Cherry Pie?” the bartender, Mac, asked, using the pseudonym you’d chosen for your stage name when you started at the club a year ago. 

“No complaints yet, Mac,” you said, gratefully accepting the glass of water he offered you– it was important to stay hydrated, after all, “but then again, the night is very young.”

Mac let out a gruff laugh as he wiped down a glass. “You’re too young to be so cynical, Cherr,” he said.

You shrugged. That was an understatement. “Any good prospects tonight?” you asked, leaning your elbows on the bartop.

Mac nodded his chin toward a group of young men sitting close to the stage. “That group over there’s racked up a pretty big tab so far. Think they’re from the MIT alumni conference.” That piqued your interest. Beantown Burlesque might not be the ideal place to network, but you’d honestly take whatever you could get.

“They seem decent enough?” you asked Mac.

“About as decent as any group of blokes that come here,” he offered. “But they’ve been pretty respectful so far; no one’s tried to put hands anywhere they shouldn’t.”

“Good enough for me,” you told him. With a parting wave, you sauntered over to the group, making sure to put some extra sway in your hips. As you approached, you surveyed the collection of men. They all seemed to be centering their focus on one man in particular– he was dark haired with a goatee and wearing a pair of tinted glasses and looked vaguely familiar, though you couldn’t place where you might have seen him before. You clocked his expensive loafers and custom Armani suit, and the way the others around him laughed a little too loudly at what he was saying. 

That’s the one, you thought to yourself. He had the money. If you were going to make your rent on time this month, he was the one you’d need to impress.

“You boys fancy some company tonight?” you asked once you approached the group. The man with the goatee leaned forward, a sure sign of interest, and looked at you over the lens of his glasses.

“Well, gorgeous,” he said with a smirk, “we're not ones to turn down an offer for good companionship, especially from someone as captivating as you. But let's be real, the question is whether you can keep up with us. Think you're ready for the challenge?”

Oh, this one was cocky. You could work with that. You trailed your fingertips along the tops of his shoulders as you made your way around to the table in front of him. Without breaking eye contact, you picked up the double shot of whiskey sitting there and downed the entire thing in one swig without flinching.

The other men in the group whooped and hollered at your display, but the man with the goatee just studied you with a peculiar look on his face. “What’s your name, sweetheart?” he asked.

“You can call me Cherry Pie,” you said as you began swaying your hips to the rhythm of the music coming through the speakers. 

“I didn’t ask what they call you here,” he said, leaning back as you put your hands on his shoulder and began swaying in between his legs. “I asked for your name.”

“You haven’t spent nearly enough to earn that, honey,” you said as you gyrated. 

The man laughed at that, then, reaching for his wallet, pulled out a handful of crisp, one hundred dollar bills. He gently tucked them into the waistband of your bottoms. “How’s that?”

You looked at the bills tucked into your underwear. By your guess, there was about eight hundred dollars there. You just might make rent, after all. “It’s a start,” you shrugged, beginning your tried and true lap dance routine.

One of the other men in the group let out a loud laugh. “She’s sure got your number, Stark!”

At the name, your eyes shot to the man with the goatee’s face, and it suddenly clicked for you. “Holy shit,” you breathed. “You’re Tony Stark.”

Stark smiled. “Guilty as charged, sweetheart.”

“Your company’s network security sucks ass,” you told him, the words coming out of your mouth before you could stop them.

He quirked an eyebrow at that. “Excuse me?”

Fuck. “Uh, nothing, sorry. Forget I said anything.” You put a renewed vigor back into your dance.

“Um, no.” Stark said, grasping your wrist firmly enough to encourage you to stop dancing, but gently enough to let you know he posed you no threat. “I want to hear how a stripper knows the faults of my network security.”

You blushed at that. “I, uh, may have broken in the back door and temporarily held your system hostage for ten minutes last May,” you confessed.

“That was you?” Stark exclaimed. If you didn’t know any better, you’d think he sounded… impressed. “You paralyzed our entire operation!”

“Yeah… sorry about that.” Well, you could kiss any further tips goodbye, that was for sure.

“Why’d you relinquish control back to us?” he asked. “You could have held it for ransom; we would have paid whatever you asked for.”

Huh. You had never even considered doing that. “Well, um, actually, I did it as part of a final project? For my Engineering Ethics and Professionalism course at MIT?”

Stark cocked his head at you. “With Erickson?” You nodded, and Stark actually laughed. “He still a narcissistic son of a bitch?”

You chuckled and nodded. “Sexist, too. He nearly shat a brick when he had to watch a mere girl bring a Fortune 500 company to its knees.”

Stark laughed, heartily. “I’ll bet he did! What I wouldn’t have given to see his face!”

“I set up a camera to record it,” you told him. “I can make you a copy of the VHS, if you want. I needed to capture the moment for posterity.”

From there, the atmosphere and your position in the group shifted. You were no longer the entertainment. Tony (he insisted you call him that) invited you to join him as his equal, and for the next several hours, he picked your brain, testing your knowledge and asking you questions about yourself, much to the displeasure of the rest of his group. One by one, they departed, until it was just the two of you. You were having the time of your life. You figured you’d never again have the opportunity to sit back and just hang out with such an icon of the tech community, and you were going to make the most of it. Now, here you were playing a game of Never Have I Ever.

“Never have I ever sheared a sheep,” Tony said with a grin.

“Why, Mr. Stark,” you said, bringing your glass to your lips (you failed to mention that, technically, you weren’t legally old enough to drink), “you haven’t truly lived until you’ve shorn the raw wool from an unwilling ewe.”

“You’re shitting me,” Tony said, laughing.

You took the glass from your lips without drinking. “You got me,” you told him. I grew up in Dayton. Not a whole lotta opportunities for sheep shearing there.”

A mischievous glint came into Tony’s eyes. “Your shift’s got to be almost over,” he said. “What do you say, Cherry Pie? Wanna go shear a sheep?”

“(Y/N),” you told him. “My name’s (Y/N), and I would fucking love to.”

<- Previous Part / Next Part ->

[fu66sun]

telepath; 이동혁

003 | unspoken words wc: 1,989 (lmaooo, stream 1989 tv)

right after you bid your goodbyes, you were left alone with an unsettling sensation gnawing at the pit of your stomach. it was a feeling that, despite your best efforts to ignore, you couldn't quite brush aside. and that scared you, deep down, because the familiarity of this emotion was something you didn't need at the moment.

as you walked away from the encounter with haechan, you couldn't help but replay those intense moments in your mind. the way his voice had softened, the electric chemistry between you two, the playful banter that had lingered in the air—it all haunted your thoughts. you'd known haechan for quite some time, and although you'd been rivals, even enemies at times, this new sensation you couldn't escape was foreign and unsettling.

it was tempting to rationalize it away. perhaps he was merely being polite, or maybe he was just being his usual annoying self, which explained the proximity of your faces. but every excuse you conjured up felt hollow and unconvincing. deep down, you knew that these explanations didn't hold water.

the truth was, haechan had managed to break through your defenses, and you were undeniably starting to feel something you had been trying to suppress, an emotion you hadn't allowed yourself to acknowledge before. you couldn't quite put your finger on it, but there was a magnetic pull, a curiosity that you couldn't escape.

a curiosity that had always been there.

the days that followed the party were filled with a constant internal battle. you couldn't shake the feeling that something had irrevocably changed between you and haechan. those stolen moments and charged encounters refused to fade into distant memories, and you found yourself yearning for more.

you had always prided yourself on keeping your emotions in check, never letting anyone get too close or too comfortable. but with haechan, it seemed like all those defenses had been effortlessly dismantled. it was unnerving, to say the least.

you tried to distract yourself, diving into school work and studying, but every time your mind wandered, it drifted back to him. the way his eyes had held yours, the teasing tone of his voice, the way his smirk had made your heart race—it was as if haechan had carved out a space in your thoughts that you couldn't ignore.

one evening, as you were out with friends, you found yourself absentmindedly checking your phone for messages that never came. you realized that you were hoping for a message from haechan, a sign that he, too, was thinking about that night. it was a dangerous revelation, and it scared you even more.

but he never reached out. not until your birthday, at least.

your 19th birthday had come and gone without much fanfare. it was just another day, and it felt like age brought nothing new to the table. most of the day was spent in solitude, hunched over your computer, grappling with the complexities of your intro to data structure and algorithm course. the virtual world provided a sanctuary where you could bury yourself in your studies, away from the complexities of the emotions you had been grappling with.

as the evening grew late, and your room bathed in the soft glow of your computer screen, you realized it was time to retreat to your bed. you longed for the comfort of your sheets and the solace of sleep.

just as you were about to settle in, your phone buzzed with an incoming call. it was a surprise. your heart raced as you answered, but when you picked up, there was nothing but silence on the other end, and then the call abruptly ended. you stared at your phone in confusion, your heart sinking.

moments later, a text message from haechan lit up your screen. it was a half-hearted explanation, a simple "misunderstanding." the words were followed by a casual, "oh, happy birthday."

you sat there, staring at the message for a moment, trying to decipher the mix of emotions that washed over you. it was as though he had remembered your birthday and reached out, but the call had ended abruptly, leaving you perplexed. it was a cryptic gesture, one that only added to the complexity of your feelings for him. it left you wondering what his intentions were, and whether he was playing another game with you, or if there was something more genuine beneath the surface.

and as you lay in bed that night, staring at the ceiling, the "happy birthday" message from haechan replayed in your mind, leaving you with even more questions than answers. it was clear that whatever was developing between you two was far from straightforward, and you couldn't help but wonder what would happen next.

the following day, haechan reached out once more. his message was apologetic, explaining that he had been out celebrating with friends and had had a bit too much to drink. he confessed that he hadn't meant to call you but had mistakenly dialed your number during the commotion. his words were accompanied by an embarrassed emoji, as if he couldn't quite shake off the awkwardness of the situation.

you couldn't help but feel a mixture of relief and disappointment. his explanation was plausible, and it did make sense that a drunken call could have been unintentional. but a part of you couldn't help but wish that it had been deliberate, that he had wanted to reach out to you on your birthday, you found yourself trapped in a whirlwind of thoughts about him. his message had provided a plausible reason for the call, but that didn't stop your mind from racing with the what-ifs and maybes. you were being slowly consumed by thoughts of him, and it felt like an inescapable vortex.

you couldn't help but replay every interaction, every glance, and every word you'd ever exchanged with haechan. his mischievous smile, the way his eyes had locked onto yours, and the subtle chemistry that had ignited between you both during that stupid party – it all haunted your every waking moment.

you became more distracted, your laughter less spontaneous, and your conversations less engaging. it was as though you were there physically, but your thoughts were lost in the labyrinth of haechan's presence in your life. it was driving you to distraction, and you couldn't help but wonder if he was feeling the same way.

you found yourself picking up your phone far more often than usual, half-hoping for a message or call from him. the moments when your phone remained silent felt like a relentless reminder that you were treading water in a sea of uncertainty, with no clear direction in sight.

late at night, when sleep remained elusive, you'd find yourself scrolling through the messages and moments you'd shared with haechan. each interaction seemed to hold a hidden meaning, a puzzle you couldn't quite solve. you felt like you were losing yourself in the maze of emotions that you couldn't control.

it wasn't just the moments you'd shared; it was the possibility of what could be that gnawed at your soul. you were teetering on the precipice of a choice – whether to dive headfirst into this growing connection or to retreat, keeping your heart guarded. the pull toward haechan was undeniable, and you couldn't help but feel like a moth drawn to the flame, even if it meant getting burnt.

as the days turned into weeks, you couldn't escape the realization that you were being slowly swallowed by the thoughts of haechan. the lines between reality and fantasy blurred, and you weren't sure if this was a path you should continue to tread or one that would lead to an inevitable heartbreak. the only thing that was clear was that you couldn't escape the gravity of your emotions, and they were pulling you deeper into the enigma of haechan.

the day you had been dreading for weeks had finally arrived. with a heavy heart and a sense of anticipation mixed with anxiety, you found yourself back at campus, ready to begin your second year of college. the thought of returning meant one thing above all else – you were finally going to see haechan again.

as you stepped onto the familiar campus grounds, you couldn't help but feel a whirlwind of emotions. it had been a long and restless winter and you had tried to move on, but he had remained a constant presence in your thoughts.

now, as you walked the familiar paths of your college campus, you couldn't help but wonder how things would unfold. would you fall back into the familiar pattern of rivalry and tension, or would there be something different, something unspoken that would hang in the air between you? you knew that the moment you saw haechan, the complexity of your emotions would resurface, and the uncertainty that had been looming over you would intensify.

the beginning of your second year of college marked the start of a new chapter, and you couldn't help but acknowledge that the enigmatic presence of haechan would be a significant part of it. as you approached your first class, you braced yourself for what was to come.

like clockwork, chenle, renjun, and haechan arrived, one after another, sharing stories about their winter breaks. it was as if a familiar rhythm had returned to your life, and it was both comforting and unsettling.

renjun led the conversation, revealing that he had broken up with his girlfriend over the break. chenle chimed in next, excitedly recounting his overseas vacation.

then there was haechan, whose winter had been filled with parties and alcohol. you couldn't help but steal a few glances in his direction, even though you were trying your best to avoid him. the thought of locking eyes with haechan had you convinced that your cheeks would betray your feelings and turn a deep shade of red.

you busied yourself with your phone, pretending to be engrossed in some messages, all the while stealing the occasional covert glance in haechan's direction. his presence was magnetic, and you couldn't help but be drawn to him, even when you were doing your best to stay distant.

as the conversation continued, you realized that the dynamic between the four of you hadn't changed much, and yet everything felt different. the unspoken tension that lingered between you and haechan was palpable, even if it went unacknowledged.

as you settled into your usual spot with your friends, the tension was palpable, hanging in the air like an unspoken secret. it was as if a fragile web of emotions connected you and haechan, and a single misstep could shatter it.

then, in one unexpected moment, you adjusted the strap of your backpack, and it happened. haechan's hand, almost instinctively, reached out to fix it for you. he didn't say a word, and the room fell into an uneasy silence as he carefully adjusted the strap, his fingers brushing against your shoulder.

it was a simple and subtle gesture, but it sent a shockwave of emotions through you. you couldn't help but feel a rush of warmth and longing as his fingers grazed your skin. a feeling of electricity surged through your body, and for a brief, heart-pounding moment, it felt like the rest of the world had faded away.

you both pulled away from each other as he completed the task, and you dared to look into his eyes, searching for any sign that he had felt the same connection. but his expression was unreadable, and you were left with an unsettled feeling, wondering if it was all in your head.

the silence between you and haechan stretched, and you were left with a flurry of thoughts and emotions that you struggled to make sense of. the complexity of your relationship seemed to have deepened in an instant, and you couldn't help but wonder what this simple, unspoken gesture meant for the future.

taglist yayy: @sunflowerhae @sundamariis @yesohhsehun @hcheach @lhcread @j7ngwoovs if i forgot anyone pls send me an ask !!!<3<3<3<3

[cyberstudious]

what's it like studying CS?? im pretty confused if i should choose CS as my major xx

hi there!

first, two "misconceptions" or maybe somewhat surprising things that I think are worth mentioning:

there really isn't that much "math" in the calculus/arithmetic sense*. I mostly remember doing lots of proofs. don't let not being a math wiz stop you from majoring in CS if you like CS

you can get by with surprisingly little programming - yeah you'll have programming assignments, but a degree program will teach you the theory and concepts for the most part (this is where universities will differ on the scale of theory vs. practice, but you'll always get a mix of both and it's important to learn both!)

*: there are some sub-fields where you actually do a Lot of math - machine learning and graphics programming will have you doing a lot of linear algebra, and I'm sure that there are plenty more that I don't remember at the moment. the point is that 1) if you're a bit afraid of math that's fine, you can still thrive in a CS degree but 2) if you love math or are willing to be brave there are a lot of cool things you can do!

I think the best way to get a good sense of what a major is like is to check out a sample degree plan from a university you're considering! here are some of the basic kinds of classes you'd be taking:

basic programming courses: you'll knock these out in your first year - once you know how to code and you have an in-depth understanding of the concepts, you now have a mental framework for the rest of your degree. and also once you learn one programming language, it's pretty easy to pick up another one, and you'll probably work in a handful of different languages throughout your degree.

discrete math/math for computer science courses: more courses that you'll take early on - this is mostly logic and learning to write proofs, and towards the end it just kind of becomes a bunch of semi-related math concepts that are useful in computing & problem solving. oh also I had to take a stats for CS course & a linear algebra course. oh and also calculus but that was mostly a university core requirement thing, I literally never really used it in my CS classes lol

data structures & algorithms: these are the big boys. stacks, queues, linked lists, trees, graphs, sorting algorithms, more complicated algorithms… if you're interviewing for a programming job, they will ask you data structures & algorithms questions. also this is where you learn to write smart, efficient code and solve problems. also this is where you learn which problems are proven to be unsolvable (or at least unsolvable in a reasonable amount of time) so you don't waste your time lol

courses on specific topics: operating systems, Linux/UNIX, circuits, databases, compilers, software engineering/design patterns, automata theory… some of these will be required, and then you'll get to pick some depending on what your interests are! I took cybersecurity-related courses but there really are so many different options!

In general I think CS is a really cool major that you can do a lot with. I realize this was pretty vague, so if you have any more questions feel free to send them my way! also I'm happy to talk more about specific classes/topics or if you just want an answer to "wtf is automata theory" lol

[canmom]

ai analogies

with photography, the 'inputs' or 'creative choices' include the subject, the framing, and technical qualities like exposure, focus, aperture and iso. the output, the thing that's judged, is then the qualities of the image - composition and colour and narrative. since photography is very quick, a photographer will typically take many shots of a subject, and then pick out the ones they like best to share with the wider world, so there is also a curative element.

with collage (and also photobashing, and even the limited space of a dollmaker game), the 'inputs' are the choices of existing images, and the composition created by arranging them. so there's a curative element in selecting what to collage, and then new meaning is created by juxtaposing two previously unrelated images, the spatial relationships between them, and so on. (see also graphic design!) the visual qualities of the original image are relevant insofar as they affect the composition, but you don't judge a collage containing a painting or photo on how well-painted the painting or well-shot the photo is, rather on how well it uses that painting or photo.

with 'readymades' and similar genres of conceptual art, it's kind of similar, right? you put the existing objects in a new context and create meaning through how they're arranged. people respond to whether the idea it communicates is interesting. (often these days they come with some text which gives a key to inform you how to interpret the artwork.)

anyway. with drawing and painting, which are comparatively laborious to create, you are constantly making thousands of creative choices, from the broad scale - composition, value structure, how you construct a figure - to the tiny, like line weight, rendering, shape design. to navigate this vast space of possibility, you will be informed by your memory of other pictures you've seen (your personal 'visual library') and techniques you've practiced, reference images you've gathered, and so on. the physical qualities of your body and the medium will also affect your picture - how you move your arm, how watercolor moves across the paper, etc etc.

broadly the same is true for other very involved media like sculpture or computer graphics or music (of all kinds!). more fine-grained control implies both more work and more scope for creative choices.

when someone sees an image created by whatever means, they take all of this in at once, for a gestalt impression - and if they feel like it, they can look closer and appreciate the particular details. many artists will think about trying to create a composition that 'leads the eye' to take in particular points of interest and convey the narrative of the picture.

so then, 'AI'. your inputs are the design of the neural net, the selection of training data, the text/image used as a prompt and then finally the selection of an image produced by the program. (you can modify that image of course but let's not get into that for now). chances are you don't have a lot of control over the first two since the computation involved is too unwieldy, though some image generators can be 'finetuned' with additional training data.

'AI art' is like photography in that you typically generate a lot of images and select the ones that 'come out well'. like a photographer looking for a subject, you might search around for an interesting prompt. it's unlike photography in that you have very limited control over all those other parameters (at best you can try to verbally describe what you want and hope the AI understands, or ask it to generate similar pictures and hope one has the qualities you want).

'AI art' is like collage in that you are taking existing images and creating new meaning of of them, by generating a latent space and transformation algorithm that approximates them. it's unlike collage in that you have no real knowledge of what specific images may be 'most' informing the corner of latent space you're probing. you can look at an AI generated image and say 'this looks kinda like a Nihei manga' but it's not using a specific image of Nihei. still, there is something similar to the relationship between images in collage when you do things like 'style transfer'.

'AI art' can be like conceptual art or for that matter political cartoons in that often it's just providing illustration to a concept or joke that can be expressed in words. 'Shrek in the style of The Dark Crystal' or 'cats that spell "gay sex"' is what you're getting across. but 'AI art' as a subculture places very high concern on the specific aesthetic qualities, so it's not that simple.

briefly, sampling in music often tends to foreground that it's a sample, either one the audience may recognise - the Amen break for example - or just by being noticeably different from the texture of the rest of the piece. even when the sample isn't easily recognised, though, the art of sampling is to place it in a new context which brings out different sonic qualities, e.g. by playing it rapidly in succession, or heavily filtering and distorting it, overlaying it with other sounds, or playing it right before the drop. it's similar to collage and photobashing.

paintings then. AI art rather obsessively tries to imitate paintings, drawings, 3D graphics etc. some of its proponents even try to position it as obsoleting these art forms, rather than a new derivative art form. a lot of the fear from artists who work in those media is that, even if the AI generated images are a poor substitute for what we make, it will be 'good enough' to satisfy the people with the money, or discourage people from learning how to paint with all its nuances.

so, 'AI' may make results that look like a painting, but the process of making it is hugely different. rather than gradually constructing a picture and making decisions at each turn, you try out successive prompts to get a page full of finished pictures, and generate variations on those pictures, until you find one you like. it's most similar to the client who describes an image they want and then makes requests to tweak it. there is still creativity in this, because it's kind of replicating the back-and-forth between an artist and client/art director/critique-giver/etc. however, in this analogy, it's hampered by the limited communication between you and the 'artist'. and it's a different sort of input, so we respond to it differently.

generating and posting AI art could also be compared to the kind of thing we do on this website, where we curate images we like and share them. you're all looking at the outputs of the same image generator and pointing and saying 'ooh, that one's cool'. what's kinda troublesome in this analogy is that AI obfuscates all that stuff about credit and inspiration, collapsing it all into one mass. unless their name was used in the prompt, you can't tell if the 'AI' image is 'drawing heavily' on any particular artist. this isn't a new problem - firstly websites full of uncredited images abound, secondly any creative process is inspired by loads of things that we can't enumerate or hope to divulge, so the idea of tracing the paths of inspiration is perhaps a mirage anyway. still, for me (sakuga fan type of person!), knowing what i can about the specific people involved in creating artwork and how they went about it is important, and that's heavily blackboxed by 'AI'.

none of this would be helped by harsher copyright laws. it's great that people can create derivative works and respond to existing art. that is the scaffold that launches us somewhere new and hopefully interesting. simply putting someone's work into an image generator to create similar pictures is not a very interesting statement in its own right, and a lot of AI illustration produced at the moment has a weirdly glossy, overproduced feeling that is offputting and leaves nowhere for the eye to settle (when it isn't just mush), but that's not to say AI is never going to be able to be used to say anything interesting or become a meaningful art form in its own right.

'AI' is kinda like a bunch of things but not exactly like any of them. (this isn't to get into the economic questions at all, that would be a much longer post!). but since there are people very sincerely devoted to this being an art form... I want to know how to 'read' these works - what I'm looking for in there, what a meaningful comment would be. bc right now when I see an illustration and realise it's AI generated image it's like... a sense of disappointment because whatever I was picking up on isn't actually part of the 'statement' in the way i thought. so it's like oh... that's nice. the machine picked a cool perspective huh? all the things i would normally appreciate in an illustration are outside the artist's control, so responding to them feels irrelevant! so what is the right mode here? there's more to it than just the choice of subject. but I feel like I have more to say about even a picrew.

[biopractify]

Free online courses for bioinformatics beginners

🔬 Free Online Courses for Bioinformatics Beginners 🚀

Are you interested in bioinformatics but don’t know where to start? Whether you're from a biotechnology, biology, or computer science background, learning bioinformatics can open doors to exciting opportunities in genomics, drug discovery, and data science. And the best part? You can start for free!

Here’s a list of the best free online bioinformatics courses to kickstart your journey.

📌 1. Introduction to Bioinformatics – Coursera (University of Toronto)

📍 Platform: Coursera 🖥️ What You’ll Learn:

Basic biological data analysis

Algorithms used in genomics

Hands-on exercises with biological datasets

🎓 Why Take It? Ideal for beginners with a biology background looking to explore computational approaches.

📌 2. Bioinformatics for Beginners – Udemy (Free Course)

📍 Platform: Udemy 🖥️ What You’ll Learn:

Introduction to sequence analysis

Using BLAST for genomic comparisons

Basics of Python for bioinformatics

🎓 Why Take It? Short, beginner-friendly course with practical applications.

📌 3. EMBL-EBI Bioinformatics Training

📍 Platform: EMBL-EBI 🖥️ What You’ll Learn:

Genomic data handling

Transcriptomics and proteomics

Data visualization tools

🎓 Why Take It? High-quality training from one of the most reputable bioinformatics institutes in Europe.

📌 4. Introduction to Computational Biology – MIT OpenCourseWare

📍 Platform: MIT OCW 🖥️ What You’ll Learn:

Algorithms for DNA sequencing

Structural bioinformatics

Systems biology

🎓 Why Take It? A solid foundation for students interested in research-level computational biology.

📌 5. Bioinformatics Specialization – Coursera (UC San Diego)

📍 Platform: Coursera 🖥️ What You’ll Learn:

How bioinformatics algorithms work

Hands-on exercises in Python and Biopython

Real-world applications in genomics

🎓 Why Take It? A deep dive into computational tools, ideal for those wanting an in-depth understanding.

📌 6. Genomic Data Science – Harvard Online (edX) 🖥️ What You’ll Learn:

RNA sequencing and genome assembly

Data handling using R

Machine learning applications in genomics

🎓 Why Take It? Best for those interested in AI & big data applications in genomics.

📌 7. Bioinformatics Courses on BioPractify (100% Free)

📍 Platform: BioPractify 🖥️ What You’ll Learn:

Hands-on experience with real datasets

Python & R for bioinformatics

Molecular docking and drug discovery techniques

🎓 Why Take It? Learn from domain experts with real-world projects to enhance your skills.

🚀 Final Thoughts: Start Learning Today!

Bioinformatics is a game-changer in modern research and healthcare. Whether you're a biology student looking to upskill or a tech enthusiast diving into genomics, these free courses will give you a strong start.

📢 Which course are you excited to take? Let me know in the comments! 👇💬

[elsa16744]

Business Potential with Data Management and Analytics Services

In today's data-driven world, businesses are increasingly relying on data to make informed decisions and drive strategic growth. As organizations collect and generate vast amounts of data, the need for effective data management and analytics services becomes paramount. This is where data analytics consulting services play a crucial role. By harnessing the power of data, businesses can gain valuable insights, enhance operational efficiency, and achieve a competitive edge.

The Importance of Data Management

Data management is the foundation upon which successful data analytics is built. It involves the process of collecting, storing, and organizing data in a manner that ensures its accuracy, accessibility, and security. Effective data management allows organizations to maintain high-quality data that is essential for accurate analysis and decision-making.

Data Collection and Integration

The first step in data management is collecting data from various sources. This can include transactional data, customer interactions, social media, and more. Integrating these diverse data sources into a unified system is crucial for creating a comprehensive view of the business landscape. Data analytics consulting services assist organizations in designing and implementing robust data integration strategies, ensuring that all relevant data is captured and consolidated efficiently.

Data Storage and Organization

Once data is collected, it needs to be stored and organized in a structured manner. This involves setting up databases and data warehouses that can handle large volumes of data while maintaining data integrity. Data management services ensure that data is stored securely and is easily retrievable when needed. Effective data organization also involves categorizing data into meaningful segments, making it easier to analyze and derive insights.

Data Quality and Governance

Maintaining high data quality is essential for accurate analysis. Data management services focus on implementing data quality frameworks that ensure data is accurate, complete, and consistent. Data governance practices are also put in place to manage data policies, standards, and compliance. This helps organizations avoid data-related issues and ensures that data analytics efforts are based on reliable information.

Leveraging Data Analytics

Once data is properly managed, the next step is to leverage it through advanced analytics. Data analytics services help businesses transform raw data into actionable insights that can drive decision-making and strategic planning.

Descriptive Analytics

Descriptive analytics involves analyzing historical data to understand past performance and identify trends. This type of analysis provides a clear picture of what has happened in the past and helps organizations gain insights into their operations. Data analytics consulting services use various statistical and analytical techniques to uncover patterns and trends in historical data, enabling businesses to make data-driven decisions.

Predictive Analytics

Predictive analytics goes a step further by using historical data to forecast future outcomes. By applying statistical models and machine learning algorithms, businesses can predict trends, customer behavior, and potential risks. This proactive approach allows organizations to anticipate challenges and opportunities, making it possible to take preemptive actions. Data analytics consulting services provide expertise in building and deploying predictive models that can enhance business forecasting and planning.

Prescriptive Analytics

Prescriptive analytics offers recommendations for actions based on data insights. It involves using optimization techniques and simulation models to suggest the best course of action for achieving desired outcomes. This type of analytics helps businesses make informed decisions by providing actionable recommendations that align with their strategic goals. Data analytics consulting services assist organizations in developing prescriptive models that guide decision-making and improve overall performance.

The Role of Data Analytics Consulting Services

Data analytics consulting services are essential for helping businesses navigate the complexities of data management and analytics. These services provide expertise and support in various aspects of data analytics, including strategy development, implementation, and optimization.

Strategy Development

Data analytics consultants work closely with organizations to develop data strategies that align with their business objectives. This involves identifying key performance indicators (KPIs), setting data goals, and defining the scope of analytics initiatives. By creating a comprehensive data strategy, consultants ensure that data analytics efforts are focused and effective.

Implementation and Optimization

Once the strategy is in place, data analytics consultants assist with the implementation of data management systems and analytics tools. This includes setting up data infrastructure, integrating data sources, and deploying analytics solutions. Consultants also provide ongoing support to optimize data processes and ensure that analytics tools are used effectively.

Insights and Recommendations

One of the primary benefits of data analytics consulting services is the ability to generate actionable insights and recommendations. Consultants analyze data to uncover trends, identify opportunities, and provide recommendations for improving business performance. These insights help organizations make informed decisions and drive strategic growth.

Conclusion

In an era where data is a valuable asset, effective data management and analytics services are crucial for unlocking business potential. By leveraging data analytics consulting services, organizations can ensure that their data is well-managed, their analytics efforts are targeted, and their decision-making is driven by actionable insights. As businesses continue to navigate the complexities of the data landscape, investing in data management and analytics services will remain a key factor in achieving long-term success.

[sunbeaminfo]

In today’s fast-paced tech industry, having a strong foundation in Data Structures and Algorithms (DSA) is essential for anyone aiming to excel in programming and software development. Whether you're preparing for technical interviews or looking to enhance your problem-solving skills, mastering DSA with Java can give you a competitive edge. Sunbeam Institute offers a comprehensive DSA course designed to help students and professionals gain in-depth knowledge and hands-on experience.

Why Choose the DSA Course at Sunbeam?

✅ Structured Learning Approach – Our curriculum covers fundamental to advanced DSA concepts, ensuring step-by-step learning. ✅ Hands-on Coding Practice – Learn by implementing real-world problems in Java. ✅ Industry-Relevant Curriculum – Designed by experts to meet the demands of modern tech roles. ✅ Expert Guidance – Get trained by experienced instructors with deep industry knowledge. ✅ Interview Preparation – Strengthen your problem-solving skills to excel in coding interviews at top companies.

What You Will Learn

📌 Fundamentals of Data Structures – Arrays, Linked Lists, Stacks, Queues, Trees, Graphs 📌 Algorithmic Techniques – Sorting, Searching, Recursion, Dynamic Programming, Greedy Algorithms 📌 Complexity Analysis – Understand time and space complexity to optimize your code 📌 Real-World Applications – Implement DSA concepts in Java with practical projects

Who Can Enroll?

🔹 Students aiming to build a strong programming foundation 🔹 Professionals preparing for coding interviews 🔹 Developers looking to enhance their problem-solving skills 🔹 Anyone interested in mastering Data Structures and Algorithms with Java

🔗 Enroll Now: https://sunbeaminfo.in/modular-courses/data-structure-algorithms-using-java 📞 Call Us: 8282829806

Take your programming skills to the next level with Sunbeam Institute’s DSA using Java course. Join today and start your journey towards becoming a proficient developer!

[limatsoftsolutionsworld]

Winter-Summer Training Kolkata

Elevate your skills with Winter-Summer Training in Kolkata. Dive into immersive courses, stay ahead, and thrive in every season. Join now for a transformative learning experience.

Visit us: https://www.limatsoftsolutions.co.in/winter-summer-training-kolkata

Read More -

Location - Electronics City Phase 1, Opp, Bengaluru, Karnataka 560100

[tutortacademy]

data structure and algorithms coaching in Bangalore offer a wealth of opportunities for individuals seeking to build a career in this rapidly growing field. With its strong technology ecosystem, industry collaborations, and thriving community, Bangalore provides a conducive environment for learning and skill development in data structure and algorithms. By enrolling in a reputable coaching program like Tutort Academy which provides the Best data structure and algorithms course online, one can equip themselves with the necessary knowledge and practical experience to succeed in the dynamic world of data structure and algorithms.

[mckencodes]

10-15-23 Goals

Continue FreeCodeCamp ES6 lessons

Practice DOM manipulation

Brainstorm project ideas (frontend)

Hello! I am back ...(I was going thru it ���). I'm currently working through Freecodecamp's Javascript Algorithms & Data Structures course. I used to be so scared of Javascript for some reason, but I'm slowly getting more comfortable so yay! I've also kind of hit a coding block. I feel so tired after only coding for a little while. I think it's because I feel the pressure of getting a full-time position now that I graduated. I began to start getting anxiety pulling up anything related to data structures/algorithms :( . The best way to push past it is to take it in small steps, while making projects that are fun and interesting. It is soo easy to get overwhelmed, especially if you want to learn everything like me. Time to learn better time management 😵‍💫 .

[edcater]

Intermediate Machine Learning: Advanced Strategies for Data Analysis

Introduction:

Welcome to the intermediate machine learning course! In this article, we'll delve into advanced strategies for data analysis that will take your understanding of machine learning to the next level. Whether you're a budding data scientist or a seasoned professional looking to refine your skills, this course will equip you with the tools and techniques necessary to tackle complex data challenges.

Understanding Intermediate Machine Learning:

Before diving into advanced strategies, let's clarify what we mean by intermediate machine learning. At this stage, you should already have a basic understanding of machine learning concepts such as supervised and unsupervised learning, feature engineering, and model evaluation. Intermediate machine learning builds upon these fundamentals, exploring more sophisticated algorithms and techniques.

Exploratory Data Analysis (EDA):

EDA is a critical first step in any data analysis project. In this section, we'll discuss advanced EDA techniques such as correlation analysis, outlier detection, and dimensionality reduction. By thoroughly understanding the structure and relationships within your data, you'll be better equipped to make informed decisions throughout the machine learning process.

Feature Engineering:

Feature engineering is the process of transforming raw data into a format that is suitable for machine learning algorithms. In this intermediate course, we'll explore advanced feature engineering techniques such as polynomial features, interaction terms, and feature scaling. These techniques can help improve the performance and interpretability of your machine learning models.

Model Selection and Evaluation:

Choosing the right model for your data is crucial for achieving optimal performance. In this section, we'll discuss advanced model selection techniques such as cross-validation, ensemble methods, and hyperparameter tuning. By systematically evaluating and comparing different models, you can identify the most suitable approach for your specific problem.

Handling Imbalanced Data:

Imbalanced data occurs when one class is significantly more prevalent than others, leading to biased model performance. In this course, we'll explore advanced techniques for handling imbalanced data, such as resampling methods, cost-sensitive learning, and ensemble techniques. These strategies can help improve the accuracy and robustness of your machine learning models in real-world scenarios.

Advanced Algorithms:

In addition to traditional machine learning algorithms such as linear regression and decision trees, there exists a wide range of advanced algorithms that are well-suited for complex data analysis tasks. In this section, we'll explore algorithms such as support vector machines, random forests, and gradient boosting machines. Understanding these algorithms and their underlying principles will expand your toolkit for solving diverse data challenges.

Interpretability and Explainability:

As machine learning models become increasingly complex, it's essential to ensure that they are interpretable and explainable. In this course, we'll discuss advanced techniques for model interpretability, such as feature importance analysis, partial dependence plots, and model-agnostic explanations. These techniques can help you gain insights into how your models make predictions and build trust with stakeholders.

Deploying Machine Learning Models:

Deploying machine learning models into production requires careful consideration of factors such as scalability, reliability, and security. In this section, we'll explore advanced deployment strategies, such as containerization, model versioning, and continuous integration/continuous deployment (CI/CD) pipelines. By following best practices for model deployment, you can ensure that your machine learning solutions deliver value in real-world environments.

Practical Case Studies:

To reinforce your understanding of intermediate machine learning concepts, we'll conclude this course with practical case studies that apply these techniques to real-world datasets. By working through these case studies, you'll gain hands-on experience in applying advanced strategies to solve complex data analysis problems.

Conclusion:

Congratulations on completing the intermediate machine learning course! By mastering advanced strategies for data analysis, you're well-equipped to tackle a wide range of machine learning challenges with confidence. Remember to continue practicing and experimenting with these techniques to further enhance your skills as a data scientist. Happy learning!