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scholarhatedu · 1 year

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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!

#DSA #dsacourses #bestdsacourses #best data structures and algorithms course

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anhedonyan · 2 months

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First courses on IT automation, cybersecurity and data analytics are over.

I think the one in cybersecurity has Python too, so I hope I don't get a Python crash course again! XD

#still no job so i still have free time to do these courses #i guess after those three i will do cs50 just in hopes that i learn more about data structures and algorithms?#anyway every1 tells me i wont get a job anyway until at least september so i have time #and thus i have time for my own projects too

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limatsoftsolution · 7 months

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Data Structures and Algorithms Course: A 6-Month Learning Journey with Li-Mat | Bangalore

LI-MAT's Data Structures and Algorithms Course is not merely an educational program but a transformative 6-month journey. Beyond imparting knowledge, the course equips students with practical skills, instills confidence, and validates their expertise with a prestigious certification. Read More -

#data structures #algorithms #course #certification #job placement services #it training courses #web development #bangalore #india #technology #software

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markcraft3636 · 10 months

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What is ServiceNow |Introduction | User Interface| Application & Filter Navigation | Complete Course

youtube

ServiceNow is planned with intelligent systems to speed up the work process by providing solutions to amorphous work patterns. Each employee, customer, and machine in the enterprise is related to ServiceNow, allowing us to make requests on a single cloud platform. Various divisions working with the requests can assign, prioritize, correlate, get down to root cause issues, gain real‑time insights, and drive action. This workflow process helps the employees to work better, and this would eventually improve the service levels. ServiceNow provides cloud services for the entire enterprise. This module consists User Interface and Navigation. The Objective of this module is to make beginners learn how to navigate to applications and modules in ServiceNow, using the Application and Filter Navigators. To Create views and filters for a table list and to update record using online editing.

#introduction #ServiceNow #Courses #Free Training #Tutorials #Programming #Data Structure #Algorithms #Computer Science #Tips #Demos #ServiceNow Fundamentals #What is service now #Service now tutorial for beginners #Servicenow Online Tutorial #Service now introduction #Youtube

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jcmarchi · 11 months

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Answering billions of reporting queries each day with low latency

New Post has been published on https://thedigitalinsider.com/answering-billions-of-reporting-queries-each-day-with-low-latency/

Answering billions of reporting queries each day with low latency

Posted by Jagan Sankaranarayanan, Senior Staff Software Engineer, and Indrajit Roy, Head of Napa Product, Google

Google Ads infrastructure runs on an internal data warehouse called Napa. Billions of reporting queries, which power critical dashboards used by advertising clients to measure campaign performance, run on tables stored in Napa. These tables contain records of ads performance that are keyed using particular customers and the campaign identifiers with which they are associated. Keys are tokens that are used both to associate an ads record with a particular client and campaign (e.g., customer_id, campaign_id) and for efficient retrieval. A record contains dozens of keys, so clients use reporting queries to specify keys needed to filter the data to understand ads performance (e.g., by region, device and metrics such as clicks, etc.). What makes this problem challenging is that the data is skewed since queries require varying levels of effort to be answered and have stringent latency expectations. Specifically, some queries require the use of millions of records while others are answered with just a few.

To this end, in “Progressive Partitioning for Parallelized Query Execution in Napa”, presented at VLDB 2023, we describe how the Napa data warehouse determines the amount of machine resources needed to answer reporting queries while meeting strict latency targets. We introduce a new progressive query partitioning algorithm that can parallelize query execution in the presence of complex data skews to perform consistently well in a matter of a few milliseconds. Finally, we demonstrate how Napa allows Google Ads infrastructure to serve billions of queries every day.

Query processing challenges

When a client inputs a reporting query, the main challenge is to determine how to parallelize the query effectively. Napa’s parallelization technique breaks up the query into even sections that are equally distributed across available machines, which then process these in parallel to significantly reduce query latency. This is done by estimating the number of records associated with a specified key, and assigning more or less equal amounts of work to machines. However, this estimation is not perfect since reviewing all records would require the same effort as answering the query. A machine that processes significantly more than others would result in run-time skews and poor performance. Each machine also needs to have sufficient work since needless parallelism leads to underutilized infrastructure. Finally, parallelization has to be a per query decision that must be executed near-perfectly billions of times, or the query may miss the stringent latency requirements.

The reporting query example below extracts the records denoted by keys (i.e., customer_id and campaign_id) and then computes an aggregate (i.e., SUM(cost)) from an advertiser table. In this example the number of records is too large to process on a single machine, so Napa needs to use a subsequent key (e.g., adgroup_id) to further break up the collection of records so that equal distribution of work is achieved. It is important to note that at petabyte scale, the size of the data statistics needed for parallelization may be several terabytes. This means that the problem is not just about collecting enormous amounts of metadata, but also how it is managed.

SELECT customer_id, campaign_id, SUM(cost) FROM advertiser_table WHERE customer_id in (1, 7, ..., x ) AND campaign_id in (10, 20, ..., y) GROUP BY customer_id, campaign_id;

This reporting query example extracts records denoted by keys (i.e., customer_id and campaign_id) and then computes an aggregate (i.e., SUM(cost)) from an advertiser table. The query effort is determined by the keys’ included in the query. Keys belonging to clients with larger campaigns may touch millions of records since the data volume directly correlates with the size of the ads campaign. This disparity of matching records based on keys reflects the skewness in data, which makes query processing a challenging problem.

An effective solution minimizes the amount of metadata needed, focuses effort primarily on the skewed part of the key space to partition data efficiently, and works well within the allotted time. For example, if the query latency is a few hundred milliseconds, partitioning should take no longer than tens of milliseconds. Finally, a parallelization process should determine when it’s reached the best possible partitioning that considers query latency expectations. To this end, we have developed a progressive partitioning algorithm that we describe later in this article.

Managing the data deluge

Tables in Napa are constantly updated, so we use log-structured merge forests (LSM tree) to organize the deluge of table updates. LSM is a forest of sorted data that is temporally organized with a B-tree index to support efficient key lookup queries. B-trees store summary information of the sub-trees in a hierarchical manner. Each B-tree node records the number of entries present in each subtree, which aids in the parallelization of queries. LSM allows us to decouple the process of updating the tables from the mechanics of query serving in the sense that live queries go against a different version of the data, which is atomically updated once the next batch of ingest (called delta) has been fully prepared for querying.

The partitioning problem

The data partitioning problem in our context is that we have a massively large table that is represented as an LSM tree. In the figure below, Delta 1 and 2 each have their own B-tree, and together represent 70 records. Napa breaks the records into two pieces, and assigns each piece to a different machine. The problem becomes a partitioning problem of a forest of trees and requires a tree-traversal algorithm that can quickly split the trees into two equal parts.

To avoid visiting all the nodes of the tree, we introduce the concept of “good enough” partitioning. As we begin cutting and partitioning the tree into two parts, we maintain an estimate of how bad our current answer would be if we terminated the partitioning process at that instant. This is the yardstick of how close we are to the answer and is represented below by a total error margin of 40 (at this point of execution, the two pieces are expected to be between 15 and 35 records in size, the uncertainty adds up to 40). Each subsequent traversal step reduces the error estimate, and if the two pieces are approximately equal, it stops the partitioning process. This process continues until the desired error margin is reached, at which time we are guaranteed that the two pieces are more or less equal.

Progressive partitioning algorithm

Progressive partitioning encapsulates the notion of “good enough” in that it makes a series of moves to reduce the error estimate. The input is a set of B-trees and the goal is to cut the trees into pieces of more or less equal size. The algorithm traverses one of the trees (“drill down” in the figure) which results in a reduction of the error estimate. The algorithm is guided by statistics that are stored with each node of the tree so that it makes an informed set of moves at each step. The challenge here is to decide how to direct effort in the best possible way so that the error bound reduces quickly in the fewest possible steps. Progressive partitioning is conducive for our use-case since the longer the algorithm runs, the more equal the pieces become. It also means that if the algorithm is stopped at any point, one still gets good partitioning, where the quality corresponds to the time spent.

Prior work in this space uses a sampled table to drive the partitioning process, while the Napa approach uses a B-tree. As mentioned earlier, even just a sample from a petabyte table can be massive. A tree-based partitioning method can achieve partitioning much more efficiently than a sample-based approach, which does not use a tree organization of the sampled records. We compare progressive partitioning with an alternative approach, where sampling of the table at various resolutions (e.g., 1 record sample every 250 MB and so on) aids the partitioning of the query. Experimental results show the relative speedup from progressive partitioning for queries requiring varying numbers of machines. These results demonstrate that progressive partitioning is much faster than existing approaches and the speedup increases as the size of the query increases.

Conclusion

Napa’s progressive partitioning algorithm efficiently optimizes database queries, enabling Google Ads to serve client reporting queries billions of times each day. We note that tree traversal is a common technique that students in introductory computer science courses use, yet it also serves a critical use-case at Google. We hope that this article will inspire our readers, as it demonstrates how simple techniques and carefully designed data structures can be remarkably potent if used well. Check out the paper and a recent talk describing Napa to learn more.

Acknowledgements

This blog post describes a collaborative effort between Junichi Tatemura, Tao Zou, Jagan Sankaranarayanan, Yanlai Huang, Jim Chen, Yupu Zhang, Kevin Lai, Hao Zhang, Gokul Nath Babu Manoharan, Goetz Graefe, Divyakant Agrawal, Brad Adelberg, Shilpa Kolhar and Indrajit Roy.

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onetickcdc · 1 year

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#Best Data Structures and Algorithms Courses in Faridabad

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limatsoftsolutionsworld · 7 months

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Li Mat Soft Solutions Data Structures and Algorithms Course in Kanpur 2024

Gain mastery over array-based and linked data structures, their real-world applications, and the analysis and implementation of foundational algorithms in this extensive 80-hour course from Li Mat Soft.

#Data Structures and Algorithms course #Li Mat Soft Solutions #Data Structures and Algorithms course in Kanpur

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scoonsalicious · 5 months

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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 ->

#bucky barnes x reader #bucky barnes x you #james bucky buchanan barnes #bucky barnes x y/n #bucky x you #bucky x reader #bucky fanfic #bucky barnes #bucky barnes fanfic #bucky x female reader #bucky barnes fic #bucky barnes fanfiction #james buchanan barnes #mcu bucky barnes #james barnes

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scholarhat · 2 years

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The goal of this course is to prepare students interested in software engineering for interviews with some of the most prestigious organisations in the world, including Microsoft, Adobe, Uber, Google, and Amazon. So that you are ready for these important interviews, this programme will teach you everything from problem-solving techniques to coding!

#dsa course #data structures and algorithms course

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shailendra01 · 2 years

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https://www.anibookmark.com/site/no1-dsa-course-dotnettricks-ab1015473.html

This course is intended for people with an interest in software engineering who want to advance their careers by landing an interview with one of the most prestigious organisations in the world, such as Microsoft, Adobe, Uber, Google, or Amazon. In order to prepare you for these important interviews, this programme will teach you everything from coding to problem-solving techniques.

#dsa course #data structures and algorithms course #learn data structures and algorithms

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izicodes · 2 years

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The FreeCodeCamp Study Challenge!

I literally just completed this challenge and I thought why not share the challenge on here for other people to take part in if they wanted to!

FreeCodeCamp is an open-source platform that offers various coding courses and certifications for web developers. The goal of this challenge is to choose one of the available courses on the FreeCodeCamp platform, complete the course, and earn the certificate at the end.

The challenge is self-paced, so the duration is entirely up to you. The challenge is there to motivate people into coding and/or continue their coding studies! Especially people in the Codeblr community!

FreeCodeCamp [LINK] offers the following courses:

(NEW) Responsive Web Design Certification (I've done this one)

JavaScript Algorithms and Data Structures Certification (I am going to do this one next)

Front End Libraries Certification

Data Visualization Certification

APIs and Microservices Certification

Quality Assurance Certification

Scientific Computing with Python Certification

Data Analysis with Python Certification

Information Security Certification

Machine Learning with Python Certification

Each course is broken down into multiple sections, and completing all the sections in a course will earn you a certification for that course.

To start the FreeCodeCamp Challenge, follow the steps below:

Choose a course on the FreeCodeCamp platform that you would like to complete.

Complete the course and earn the certificate.

Post about your progress every day that you study using the #freecodecampchallenge hashtag. You can post about what you have done towards the challenge, what you have learned, and any challenges you faced and how you overcame them.

The FreeCodeCamp Challenge is an excellent opportunity to improve your coding skills and earn a valuable certification!!!! Even add that to your resume/CV! I completed this challenge and you can see me posting about it - LINK.

Remember to post about your progress using the #freecodecampchallenge hashtag to track your progress and connect with other participants AND you don't have to study straight days, meaning you can take days off whenever you feel like it!

Good luck!

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fu66sun · 11 months

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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

#haechan #haechan angst #haechan au #haechan smut #haechan x y/n #haechan x reader #lee donghyuck #nct #nct dream #nct haechan

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cyberstudious · 2 months

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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

#asks #computer science #thank you for the ask!!! I love talking abt CS and this made me remember which courses I took lol #also side note I went to college at a public college in the US - things could be wildly different elsewhere idk #but these are the basics so I can't imagine other programs varying too widely??

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