#that can require more complex problem solving techniques

[not-poignant]

Hi Pia! I was curious, as I understand, this story was written long time ago? Did you edit it with almost 10 years of practice on writing since 2014 now? And more in general, do you feel like writing is easier or not withos much practice (I read about smut, that it is harder now, but in general - worldbuilding, character creation and so on) ?

Hi hi anon!

Yeah the story was first drafted in 2014, and has gone through big edits since then (the latest being 2017, though I did some cursory stuff this year as well to just double check that it's not terrible).

Tbh, prior to 2014 I was writing like... very serious award winning short stories with tragic endings and winning awards for them, so I'm moderately confident the story is readable. I've been writing novels (for fun mostly) since 1995. And I have a university education in writing that started in 1999.

My fanfiction/serial style is very different to my 'I'm writing a book / I'm writing a short story' style.

I think it will feel different to my serials because I wrote it like a book, there's less sprawling character exploration, and the pacing is much, much tighter. There's a lot more focus on plot, and folks used to my serials might feel like the story ends really quickly! Because it's like much shorter (100k) than my serials.

If anything, I think these are the things to watch out for in Tradewinds:

100k novel means much tighter pacing and prose, and often very little time for too much character reflection.

Possibly not as much character exploration as people are used to from me (though there's still some!)

More plotting

Less smut, and the smut is also more 'vanilla' than what I normally write, because at the time I was a lot more wary about putting BDSM into the market. There are power dynamics though (i.e. a vibe where one character 'feels' more submissive to the other)

Robust scene-setting (i.e. description, place, anchoring)

Lively dialogue

I actually think I was probably a better literary writer back in the 00s but it wasn't much fun for me. I quit writing for a while and then picked it back up again to write fanfiction, which was easier and more relaxed for me. (And still is! The Ice Plague is an exception to that because it had more robust plotting and was structure more...formally.)

I honestly think writing gets easier or harder depending on the project and writing style involved.

Some writing gets easier with time, some doesn't. Sometimes that will flip or switch. Sometimes one thing is easy for years and then becomes harder with certain stories.

It was Gene Wolfe who said:

"You never learn how to write a novel. You just learn how to write the novel that you're writing."

And yeah, I tend to believe for the most part that's true with how hard or easy something is. How ambitious a project is, its genre, its length, its complexity can all play into that.

I pick easier projects as my main projects right now, but I have hard projects coming up too!

I would say overall writing does become "easier" in the sense that foundational skills become second nature (I know how to build a character and their dialogue now without thinking about it, and while there's always more to learn, I can now start in a place of just knowing how to do that instead of knowing I need to learn how to do that), but that the stories themselves will still pose unique challenges to a writer.

Er so TL;DR yes writing for me is easier but I'm choosing easier things to write, and sometimes it's still very hard!!!

[uneducated-author]

It's so nice that MaoMao both never goes too far with her negative qualities or too far with her good ones. She's remarkably balanced in a way most narratives don't allow for.

One piece of writing advice that I always take with a pinch of salt is 'characters should not be people'. Characters tend to have consistent values and a growth arc. They often have some symbolism or metaphor and even though they can be contradictory or relapse on their development, they generally have some level of bedrock in terms of their personality. That's not a bad thing, it's why we have the 'leader-lancer-heart' template for trios, the 'sunshine-moonlight' pair dynamic, the 'cat and dog' rivalry setup. People don't naturally fall into that, at least not to the same level of consistency (this is sort of adjacent to 'you never see characters coughing unless it's a sign of sickness' sort of logic, every scene a character is in has to be necessary and building).

Mao Mao is mindful of her status and self preserving so doesn't want to stand out, until there's a case where human lives are at risk. She doesn't come off as a vigilante, hunting out any perceived injustice, but she isn't passive to the extent of letting bystanders be hurt when she can help.

Mao Mao is manipulative and exploitative, making a friend based on her ability to give her relevant or potentially useful gossip or access to medical supplies, but she also has genuine affection for both Xiaolan and the Doctor, aiding them in situations where they require it and making active efforts to solve their problems. She acknowledges that she's being self serving but doesn't put them in uncomfortable positions or use them unfairly.

Mao Mao is curious and revels in unravelling mysteries, but never pushes it to an irreverence or carelessness of her position, or the impacts. She doesn't tear apart mysteries that could have tumultuous impacts on others just for her own satisfaction, and prioritises the prevention of further harm over amplifying the punishment. She doesn't fully expose the clinic or the conspiracy around Ah-Duo's child, because she's aware of the potential harm that 'justice' can lead to.

She's caring but conservative. She doesn't fawn over the new baby, but grows affectionate over time after repeated interaction. In fact, same with most of the attendants. She doesn't allow herself to be careless, doesn't overextend herself for them or sacrifice herself needlessly, but does consider their best interests and act accordingly.

She's self serving and opportunistic, frequently considering how to monetise of profit from various materials, techniques or excursions, but also willingly trades or shares secrets or methods with the people she's fond of, or people who would need it more/utilise it more effectively.

Mao Mao's characterisation is a scale where she actually winds up pretty average, because she keeps a level of conscious autonomy in a plot that allows her to be nuanced. She's never fully driven by her emotions in acting impulsively, but she doesn't feels dragged along by a complex plot, but instead everything builds to a satisfying interaction that feels realistic. Mao Mao and the plot are a Venn Diagram, where she has a realistic affect on the events around her, without feeling too large within the narrative or too skilled to be realistically countered.

[kashlyn]

So I asked ChatGPT:

"Which of these three is a better crossover to DC's Batfamily and why (with rankings): Danny Phantom, Miraculous Ladybug, or Marvel Cinematic Universe's Spiderman"

and here's their answer, word per word (copy-pasted and all)=

"Crossing over characters into the DC Batfamily involves evaluating how well each character's abilities, personality, and storyline could integrate with the themes and dynamics of Gotham City and the Batfamily. Let's analyze each character:

1. Danny Phantom

Pros:

Theme Compatibility: Danny Phantom's ghost-hunting and supernatural elements can mesh well with Gotham's dark and often eerie atmosphere.

Character Fit: Danny has a strong sense of justice and a personal struggle with dual identities, similar to Batman's struggle as Bruce Wayne and Batman.

Skills and Abilities: Danny's ghost powers offer unique abilities that can complement the Batfamily's more grounded skill sets.

Cons:

Tone Difference: Danny Phantom has a lighter, more comedic tone compared to the typically dark and serious tone of the Batfamily stories.

2. Miraculous Ladybug (Marinette Dupain-Cheng)

Pros:

Heroic Traits: Marinette is resourceful, strategic, and deeply cares about protecting her city, traits that align well with the Batfamily's values.

Partnership Potential: Ladybug’s teamwork and reliance on her partner, Cat Noir, can translate well into working with the Batfamily.

Skills and Abilities: Her Miraculous powers, such as the Lucky Charm and her agility, could offer unique advantages in combat and problem-solving.

Cons:

Setting and Tone: The bright, optimistic setting of Paris in Miraculous Ladybug might clash with Gotham’s darker, grittier environment.

Youthful Tone: The show’s youthful, sometimes romantic themes might not blend seamlessly with the more mature and intense themes in Batfamily stories.

3. Marvel Cinematic Universe's Spider-Man (Peter Parker)

Pros:

Theme Compatibility: Spider-Man’s street-level crime-fighting and personal struggles resonate well with the Batfamily's narratives.

Character Fit: Peter Parker's intelligence, sense of responsibility, and youthful energy can complement characters like Robin and Batgirl.

Skills and Abilities: Spider-Man’s agility, spider-sense, and web-slinging abilities can add a new dimension to the Batfamily’s crime-fighting techniques.

Cons:

Existing Lore: Integrating a well-established character from the Marvel Universe into the DC Universe could be more complex due to existing fan expectations and lore.

Ranking and Reasoning

Marvel Cinematic Universe's Spider-Man

Reason: Spider-Man’s character traits and abilities align closely with the Batfamily’s dynamics. His themes of responsibility, intelligence, and youthful energy make him a natural fit for collaborations with characters like Robin and Batgirl. Additionally, his crime-fighting style and personal struggles resonate well with Gotham’s themes.

Danny Phantom

Reason: Danny’s dual identity, sense of justice, and supernatural abilities offer a unique blend that can enhance the Batfamily’s operations. While the tone difference is a consideration, his character’s core values and abilities make him a strong contender for integration into the Batfamily.

Miraculous Ladybug

Reason: While Marinette’s resourcefulness and heroism are admirable, the tone and setting of Miraculous Ladybug present a more significant challenge for seamless integration into the darker, more mature world of Gotham. Her abilities and teamwork skills are valuable but might require more adjustments to fit perfectly into the Batfamily’s universe.

In conclusion, Spider-Man ranks highest for his natural thematic and character alignment with the Batfamily, followed by Danny Phantom for his complementary abilities and character traits, and lastly, Miraculous Ladybug, whose tone and setting present the most significant integration challenges."

[soveru]

Jedi Consular OC Headcanons

I told you... so there are another bunch of headcanons, but about Jedi Consular.

Spoiler alert under the cut :)

Well, his name is Solari Noxis, and he… well, suffer enought in my head 😅 (And i still didn't sure about his name)

His class in game is Sage, so he has many abilities to heal and protect, but also can make a choke if you're earn it

He's probably older than a Jedi Knight and Sith Warrior, but still younger than a Kallig (it's 25 years age diff lol)

Tall, but thin (196/72)

He is definitely more of a diplomat than a warrior. He will always prefer to solve a problem with words and come to an agreement (even with the Sith). But if the situation requires it, he is still one of the strongest force users in the galaxy with the strongest connection to the force.

In my head, he is an orphan and a half-blood Echani. But since the family died, no one knows for sure under what circumstances it happened.

He grew his hair simply because he was too lazy to cut it. And then he got used to it.

He has migraines since he shielded Masters Jedi from Vivikar.

Fan of an ancient history, probably knows a lot about mandalorian wars. Bookworm)

He actually uses any information and techniques that fall into his hands. Let's say - Noeticons and Rajivari source were used for good :)

Saved Vivicar. Because in his opinion it was the right thing to do. But sometimes I get the impression that under the influence of circumstances he developed a "savior complex"

I guess he hear about Kallig on Ilum (in my head she is the one who prevents Malgus became the emperor), but their first meet was on Yavin 4 during that Revanites things.

His relationship with Kallig probably a disaster 🤣

Especially considering that Kallig just constantly makes a bunch of caustic, sarcastic comments and he responds in kind.

When he with all his allies - he is a calm, wise Jedi Master. Dealing with Kallig - they both act like prickly teenagers. At least until Kallig disappeared for 5 years. (I hadn't enought sarcastic non-DS choices in dialogs, but I think he is the one who constantly wears the mask of "good behavior")

He is very calm, really. Despite his occasional sarcasm, he is probably the calmest and most phlegmatic of the four "iconic" force users of his time.

"Oh shit, here we go again" - most honest reaction for all that happens in DLC, especially when Malgus returned. I think he was the man that facepalming, while Kallig just "Oh, hello my dear friend that tryed to establish a new empire, guess what i did?"

I think he had many moments of "walking on the edge". This is especially true for my headcanons during the time when the eternal empire attacked the galaxy

Managed to earn himself scars on the left half of his face during the Alliance vs Eternal Empire (I headcanon that he was captured and tortured by the Eternal Empire or something like that 🌚, sorry boy)

He loves sweets, but few people know about it.

(yes i ship him with Kallig and i have many sketches about it))

I have some another headcanons about SI and few pictures, so i think i will publish it too

[academiclifexd]

"Navigating Academic Life: Challenges, Growth, and Success"

Academic life is a journey filled with discovery, challenges, and personal growth. Whether you're in high school, college, or pursuing higher education, the experience is a mix of intellectual stimulation, deadlines, social interactions, and self-discovery. While it can be demanding, academic life shapes us into more knowledgeable, disciplined, and resilient individuals.

The Challenges of Academic Life

One of the biggest struggles in academic life is balancing coursework, extracurricular activities, and personal responsibilities. Deadlines pile up, exams bring stress, and sometimes, motivation dwindles. Many students face the pressure of maintaining good grades while also managing part-time jobs, social life, and mental well-being. Procrastination and burnout are common pitfalls, making time management a crucial skill to develop.

Another challenge is adapting to different learning styles and expectations. Each subject, professor, or institution may require unique approaches to studying. Some thrive in structured environments, while others struggle to keep up with fast-paced lectures and independent learning. The key to overcoming these obstacles is resilience—learning how to adapt, seek help when needed, and continuously refine one's study habits.

The Growth and Rewards

Despite the challenges, academic life offers immense rewards. Education is not just about memorizing facts; it's about learning how to think critically, solve problems, and communicate effectively. The knowledge gained from academics serves as a foundation for future careers and personal growth.

Beyond academics, students build lifelong friendships, network with mentors, and develop skills that extend beyond the classroom. College and university life, in particular, expose students to diverse perspectives, fostering cultural awareness and open-mindedness. These experiences help shape character and prepare individuals for the complexities of the real world.

Keys to Success in Academic Life

To make the most of academic life, students should focus on effective study techniques, time management, and self-care. Here are some essential tips for success:

1. Develop Good Study Habits – Find what works best for you, whether it’s group study sessions, note-taking techniques, or online resources. The freedom to explore various subjects and activities allows you to discover your true passions. For many, this period is a time of self-discovery—identifying what truly drives you, what you care about, and how you wish to contribute to the world. It’s a time when failures are reframed as learning opportunities, and success is measured not just in grades but in personal fulfillment and growth.

2. Manage Your Time Wisely – Prioritize tasks, break them into manageable parts, and avoid last-minute cramming. Time management is more than just a productivity hack; it’s a cornerstone of academic success. By managing your time wisely, you can reduce stress, improve your academic performance, and create a healthier work-life balance. It enables you to allocate sufficient time for studying, engaging in extracurricular activities, and enjoying personal downtime—all essential for a well-rounded academic experience.

3. Seek Help When Needed – Utilize professors' office hours, join study groups, or seek academic support services. Academic life is often associated with long hours of studying, tight deadlines, and the constant pressure to perform well. While pursuing education is a rewarding journey, it can also be physically and mentally demanding. Many students push themselves to the limit, often neglecting their health in the process. However, one of the most important lessons in academic life is knowing when to ask for help—especially when it comes to health.

4. Stay Healthy – Sleep, nutrition, and exercise play a significant role in concentration and overall well-being. Good health plays a crucial role in a student’s ability to focus, retain information, and perform well in their studies. When students neglect their health, whether by skipping meals, sacrificing sleep, or ignoring stress, their academic performance can suffer. Fatigue, difficulty concentrating, and weakened immunity are just some of the consequences of poor health habits. On the other hand, a healthy lifestyle enhances brain function, boosts energy levels, and improves mood, making learning more effective and enjoyable.

5. Embrace Challenges – Academic setbacks are part of the journey. Learn from mistakes and keep pushing forward. Every academic challenge encountered is also a lesson in perseverance. Learning to navigate through these challenges not only prepares you for professional success but also equips you with life skills that extend far beyond the classroom.

Conclusion

Academic life is not just about achieving grades or obtaining degrees—it’s a vibrant chapter in the larger story of who we are. It’s about cultivating curiosity, overc

[xaltius]

Unlocking the Power of Data: Essential Skills to Become a Data Scientist

In today's data-driven world, the demand for skilled data scientists is skyrocketing. These professionals are the key to transforming raw information into actionable insights, driving innovation and shaping business strategies. But what exactly does it take to become a data scientist? It's a multidisciplinary field, requiring a unique blend of technical prowess and analytical thinking. Let's break down the essential skills you'll need to embark on this exciting career path.

1. Strong Mathematical and Statistical Foundation:

At the heart of data science lies a deep understanding of mathematics and statistics. You'll need to grasp concepts like:

Linear Algebra and Calculus: Essential for understanding machine learning algorithms and optimizing models.

Probability and Statistics: Crucial for data analysis, hypothesis testing, and drawing meaningful conclusions from data.

2. Programming Proficiency (Python and/or R):

Data scientists are fluent in at least one, if not both, of the dominant programming languages in the field:

Python: Known for its readability and extensive libraries like Pandas, NumPy, Scikit-learn, and TensorFlow, making it ideal for data manipulation, analysis, and machine learning.

R: Specifically designed for statistical computing and graphics, R offers a rich ecosystem of packages for statistical modeling and visualization.

3. Data Wrangling and Preprocessing Skills:

Raw data is rarely clean and ready for analysis. A significant portion of a data scientist's time is spent on:

Data Cleaning: Handling missing values, outliers, and inconsistencies.

Data Transformation: Reshaping, merging, and aggregating data.

Feature Engineering: Creating new features from existing data to improve model performance.

4. Expertise in Databases and SQL:

Data often resides in databases. Proficiency in SQL (Structured Query Language) is essential for:

Extracting Data: Querying and retrieving data from various database systems.

Data Manipulation: Filtering, joining, and aggregating data within databases.

5. Machine Learning Mastery:

Machine learning is a core component of data science, enabling you to build models that learn from data and make predictions or classifications. Key areas include:

Supervised Learning: Regression, classification algorithms.

Unsupervised Learning: Clustering, dimensionality reduction.

Model Selection and Evaluation: Choosing the right algorithms and assessing their performance.

6. Data Visualization and Communication Skills:

Being able to effectively communicate your findings is just as important as the analysis itself. You'll need to:

Visualize Data: Create compelling charts and graphs to explore patterns and insights using libraries like Matplotlib, Seaborn (Python), or ggplot2 (R).

Tell Data Stories: Present your findings in a clear and concise manner that resonates with both technical and non-technical audiences.

7. Critical Thinking and Problem-Solving Abilities:

Data scientists are essentially problem solvers. You need to be able to:

Define Business Problems: Translate business challenges into data science questions.

Develop Analytical Frameworks: Structure your approach to solve complex problems.

Interpret Results: Draw meaningful conclusions and translate them into actionable recommendations.

8. Domain Knowledge (Optional but Highly Beneficial):

Having expertise in the specific industry or domain you're working in can give you a significant advantage. It helps you understand the context of the data and formulate more relevant questions.

9. Curiosity and a Growth Mindset:

The field of data science is constantly evolving. A genuine curiosity and a willingness to learn new technologies and techniques are crucial for long-term success.

10. Strong Communication and Collaboration Skills:

Data scientists often work in teams and need to collaborate effectively with engineers, business stakeholders, and other experts.

Kickstart Your Data Science Journey with Xaltius Academy's Data Science and AI Program:

Acquiring these skills can seem like a daunting task, but structured learning programs can provide a clear and effective path. Xaltius Academy's Data Science and AI Program is designed to equip you with the essential knowledge and practical experience to become a successful data scientist.

Key benefits of the program:

Comprehensive Curriculum: Covers all the core skills mentioned above, from foundational mathematics to advanced machine learning techniques.

Hands-on Projects: Provides practical experience working with real-world datasets and building a strong portfolio.

Expert Instructors: Learn from industry professionals with years of experience in data science and AI.

Career Support: Offers guidance and resources to help you launch your data science career.

Becoming a data scientist is a rewarding journey that blends technical expertise with analytical thinking. By focusing on developing these key skills and leveraging resources like Xaltius Academy's program, you can position yourself for a successful and impactful career in this in-demand field. The power of data is waiting to be unlocked – are you ready to take the challenge?

[selfhelpforstudents]

Hi;

How do you plan your day and ensure course discipline? I feel very overwhelmed and have difficulty in understanding, especially when studying courses such as chemistry, physics, and mathematics. And I can't study regularly.

At the same time, it is difficult to find time for yourself during the day. Do you have a suggestion for this? Thanks in advance.

Girls in Finance project server // other posts

Hi there, I genuinely appreciate your honesty about the challenges you're facing. It's totally understandable that feeling overwhelmed can make it difficult to study regularly. Here are six supportive yet firm tips to help you cultivate a fighting spirit and overcome these challenges:

Create a Structured Schedule:

Develop a daily schedule that allocates specific time slots for each subject. Prioritize the challenging courses during your peak concentration hours.

Stick to your schedule as much as possible. Consistency is key to building discipline.

Break Down Subjects Into Manageable Tasks:

Divide complex subjects into smaller, more manageable tasks. Tackle one concept or problem at a time to avoid feeling overwhelmed.

Celebrate small victories as you accomplish each task. This will boost your confidence and motivation.

Set Clear Goals and Deadlines:

Establish clear, achievable goals for each study session. Define what you want to accomplish in terms of understanding concepts, completing assignments, or solving specific problems.

Assign deadlines to tasks to create a sense of urgency and accountability.

Eliminate Distractions:

Create a dedicated study environment that minimizes distractions. Turn off notifications on your devices and let others know when you need focused study time.

Consider using apps or techniques that help block distracting websites during study sessions.

Prioritize Self-Care and Breaks:

Recognize the importance of breaks for maintaining focus and preventing burnout. Schedule short breaks between study sessions to refresh your mind.

Use your breaks to engage in activities that relax and recharge you, whether it's a short walk, stretching, or listening to music.

Seek Support and Accountability:

Connect with classmates or study groups to share the learning journey. Discussing challenging concepts with others can provide new perspectives and enhance understanding.

Consider finding a study buddy or mentor who can provide support, motivation, and accountability.

Remember, success in challenging subjects requires a combination of discipline, strategy, and perseverance. Embrace the difficulties as opportunities for growth, and approach your studies with a fighting spirit. You have the capability to overcome these challenges and excel in your academic pursuits!!! I am rooting for you!

Love, Sophia

Girls in Finance project server // other posts

[spacetimewithstuartgary]

AI finds new ways to observe the most extreme events in the universe

Extreme cosmic events such as colliding black holes or the explosions of stars can cause ripples in spacetime, so-called gravitational waves. Their discovery opened a new window into the universe. To observe them, ultra-precise detectors are required. Designing them remains a major scientific challenge for humans. Researchers at the Max Planck Institute for the Science of Light (MPL) have been working on how an artificial intelligence system could explore an unimaginably vast space of possible designs to find entirely new solutions. The results were recently published in the journal ›Physical Review X‹.

More than a century ago, Einstein theoretically predicted gravitational waves. They could only be directly detected in 2016 because the development of the necessary detectors was extremely complex. Dr. Mario Krenn, head of the research group ›Artificial Scientist Lab‹ at MPL, in collaboration with the team of LIGO (���Laser Interferometer Gravitational-Wave Observatory”), who built those detectors successfully, has designed an AI-based algorithm called ›Urania‹ to design novel interferometric gravitational wave detectors. Interferometry describes a measurement method which uses the interference of waves, i.e. their superposition when they meet. Detector design requires optimizing both layout and parameters. The scientists have converted this challenge into a continuous optimization problem and solved it using methods inspired by modern machine learning. They have found many new experimental designs which outperform the best known next-generation detectors. These results have the potential to improve the range of detectable signals by more than an order of magnitude.

Nonconformist and creative: that’s what Urania discovered

In the algorithm’s solutions, the researchers rediscovered numerous known techniques. ›Urania‹ also proposed unorthodox designs which could reshape our understanding of detector technology. “After roughly two years of developing and running our AI algorithms, we discovered dozens of new solutions that seem to be better than experimental blueprints by human scientists. We asked ourselves what humans overlooked in comparison to the machine,” says Krenn. The researchers expanded their scientific approach to understand the AI-discovered tricks, ideas, and techniques. Many of them are still completely alien to them. They have compiled 50 top-performing designs in a public ›Detector Zoo‹ and made them available to the scientific community for further research.

The recently published work shows that AI can uncover novel detector designs and inspire human researchers to explore new experimental and theoretical ideas. More broadly, it suggests that AI could play a major role in designing future tools for exploring the universe, from the smallest to the largest scales. “We are in an era where machines can discover new super-human solutions in science, and the task of humans is to understand what the machine has done. This will certainly become a very prominent part of the future of science,” says Krenn.

IMAGE: Illustration of the first gravitational wave event observed by LIGO. The detected wave forms from LIGO Hanford (orange) and LIGO Livingston (blue) are superimposed beneath illustrations of the merging black holes. Credit Aurore Simmonet (Sonoma State University), Courtesy Caltech/MIT/LIGO Laboratory

[tech-insides]

What are the skills needed for a data scientist job?

It’s one of those careers that’s been getting a lot of buzz lately, and for good reason. But what exactly do you need to become a data scientist? Let’s break it down.

Technical Skills

First off, let's talk about the technical skills. These are the nuts and bolts of what you'll be doing every day.

Programming Skills: At the top of the list is programming. You’ll need to be proficient in languages like Python and R. These are the go-to tools for data manipulation, analysis, and visualization. If you’re comfortable writing scripts and solving problems with code, you’re on the right track.

Statistical Knowledge: Next up, you’ve got to have a solid grasp of statistics. This isn’t just about knowing the theory; it’s about applying statistical techniques to real-world data. You’ll need to understand concepts like regression, hypothesis testing, and probability.

Machine Learning: Machine learning is another biggie. You should know how to build and deploy machine learning models. This includes everything from simple linear regressions to complex neural networks. Familiarity with libraries like scikit-learn, TensorFlow, and PyTorch will be a huge plus.

Data Wrangling: Data isn’t always clean and tidy when you get it. Often, it’s messy and requires a lot of preprocessing. Skills in data wrangling, which means cleaning and organizing data, are essential. Tools like Pandas in Python can help a lot here.

Data Visualization: Being able to visualize data is key. It’s not enough to just analyze data; you need to present it in a way that makes sense to others. Tools like Matplotlib, Seaborn, and Tableau can help you create clear and compelling visuals.

Analytical Skills

Now, let’s talk about the analytical skills. These are just as important as the technical skills, if not more so.

Problem-Solving: At its core, data science is about solving problems. You need to be curious and have a knack for figuring out why something isn’t working and how to fix it. This means thinking critically and logically.

Domain Knowledge: Understanding the industry you’re working in is crucial. Whether it’s healthcare, finance, marketing, or any other field, knowing the specifics of the industry will help you make better decisions and provide more valuable insights.

Communication Skills: You might be working with complex data, but if you can’t explain your findings to others, it’s all for nothing. Being able to communicate clearly and effectively with both technical and non-technical stakeholders is a must.

Soft Skills

Don’t underestimate the importance of soft skills. These might not be as obvious, but they’re just as critical.

Collaboration: Data scientists often work in teams, so being able to collaborate with others is essential. This means being open to feedback, sharing your ideas, and working well with colleagues from different backgrounds.

Time Management: You’ll likely be juggling multiple projects at once, so good time management skills are crucial. Knowing how to prioritize tasks and manage your time effectively can make a big difference.

Adaptability: The field of data science is always evolving. New tools, techniques, and technologies are constantly emerging. Being adaptable and willing to learn new things is key to staying current and relevant in the field.

Conclusion

So, there you have it. Becoming a data scientist requires a mix of technical prowess, analytical thinking, and soft skills. It’s a challenging but incredibly rewarding career path. If you’re passionate about data and love solving problems, it might just be the perfect fit for you.

Good luck to all of you aspiring data scientists out there!

[lastimeexteriors-nebraska]

What is the Personality of a Roofer?

When you think about roofers, you might envision people climbing atop homes, wielding tools, and battling the elements. But have you ever considered the personality traits that define these skilled tradespeople? The world of roofing is not just about physical labor; it's also about attitude, teamwork, and resilience. In this article, we will explore the personality of a roofer and how companies like Lastime Exteriors embody these traits.

The Building Blocks of a Roofer's Personality

1. Adaptability

Roofers encounter various challenges daily, from unpredictable weather conditions to unique roof designs. This unpredictability requires them to think on their feet and adjust their plans as needed. If you were to observe a roofer in action, you’d notice their ability to pivot quickly, ensuring that they complete the job safely and effectively.

2. Attention to Detail

A successful roofer must possess a keen eye for detail. From measuring materials accurately to ensuring that every shingle is laid correctly, roofers focus intensely on their work. This precision helps them to deliver durable and aesthetically pleasing roofs. People working in roofing understand that the little things can make a significant difference in the longevity of a roof.

3. Team Spirit

Roofing is rarely a solo endeavor. Most roofers work in teams to complete projects efficiently. This camaraderie fosters strong communication and cooperation, making team spirit essential. When you consider a roofing crew, you’ll likely observe a bunch of people who trust and rely on each other, whether it's to lift heavy materials or to offer advice on tricky installations.

4. Problem-Solving Skills

Every roofing project presents unique challenges. Roofers must analyze the situation and come up with creative solutions. Whether fixing a leak or working around an obstacle, a roofer’s problem-solving skills are invaluable. Their ability to assess a situation quickly and devise a plan is a defining characteristic of their profession.

5. Strong Work Ethic

The physical demands of roofing require people who are hardworking and dedicated. Roofers often start their days early and work long hours in sometimes unfavorable conditions. A strong work ethic is crucial here; it reflects their commitment to quality work and the satisfaction of a well-done job. Those in the industry know that putting in the effort pays off.

The Role of a Roofing Contractor

When you hire a roofing contractor, you enlist someone who embodies the personality traits we've discussed. A roofing contractor is more than just a service provider; they are your partner in protecting your home. At Lastime Exteriors, the team exemplifies adaptability, attention to detail, team spirit, problem-solving skills, and a strong work ethic.

Not all roofing contractors operate at the same standard. It’s vital to understand the differences between various providers in the industry. Choosing a roofing contractor like Lastime Exteriors can make your roofing experience smoother. They prioritize communication and transparency, ensuring you know what to expect.

Why Choose Lastime Exteriors?

Expertise and Experience: With extensive knowledge of various roofing materials and techniques, the Lastime Exteriors team can handle anything from residential repairs to complex installations.

Reliability: People often trust Lastime Exteriors for timely project completion and consistent updates. Their reliability builds long-lasting relationships with their clients.

Commitment to Quality: Quality workmanship is at the forefront of Lastime Exteriors’ philosophy. They ensure that every project is completed to the highest standards, much like the personality traits we’ve talked about.

Building Trust Through Personality

The personality of a roofer extends beyond technical skills; it encompasses building trust with clients. When you work with a roofing contractor, you want assurance that your investment is safe. This relationship is built on the contractor's reputation and the personal qualities they exhibit.

Roofing can be a big decision for homeowners, and the right contractor alleviates concerns. With Lastime Exteriors, you can be confident knowing a team that embodies the traits we’ve discussed is at your service.

So, now you have a clear picture of the personality traits that define a roofer. From adaptability to a strong work ethic, these individuals possess qualities that make them skilled tradespeople and trustworthy partners for your roofing needs.

When you're ready to take that next step in addressing your roofing needs, consider contacting Lastime Exteriors. They’re about laying shingles and building relationships grounded in reliability and expertise.

Ready for a Roof You Can Rely On? Let Lastime Exteriors Build Your Dream Roof Today!

Don’t hesitate to reach out for a free estimate! Your dream roof is just a call away!

[digitalbizai]

ChatGPT vs DeepSeek: A Comprehensive Comparison of AI Chatbots

Artificial Intelligence (AI) has revolutionized the way we interact with technology. AI-powered chatbots, such as ChatGPT and DeepSeek, have emerged as powerful tools for communication, research, and automation. While both models are designed to provide intelligent and conversational responses, they differ in various aspects, including their development, functionality, accuracy, and ethical considerations. This article provides a detailed comparison of ChatGPT and DeepSeek, helping users determine which AI chatbot best suits their needs.

Understanding ChatGPT and DeepSeek

What is ChatGPT?

ChatGPT, developed by OpenAI, is one of the most advanced AI chatbots available today. Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT has been trained on a vast dataset, enabling it to generate human-like responses in various contexts. The chatbot is widely used for content creation, coding assistance, education, and even casual conversation. OpenAI continually updates ChatGPT to improve its accuracy and expand its capabilities, making it a preferred choice for many users.

What is DeepSeek?

DeepSeek is a relatively new AI chatbot that aims to compete with existing AI models like ChatGPT. Developed with a focus on efficiency and affordability, DeepSeek has gained attention for its ability to operate with fewer computing resources. Unlike ChatGPT, which relies on large-scale data processing, DeepSeek is optimized for streamlined AI interactions, making it a cost-effective alternative for businesses and individuals looking for an AI-powered chatbot.

Key Differences Between ChatGPT and DeepSeek

1. Development and Technology

ChatGPT: Built on OpenAI’s GPT architecture, ChatGPT undergoes extensive training with massive datasets. It utilizes deep learning techniques to generate coherent and contextually accurate responses. The model is updated frequently to enhance performance and improve response quality.

DeepSeek: While DeepSeek also leverages machine learning techniques, it focuses on optimizing efficiency and reducing computational costs. It is designed to provide a balance between performance and affordability, making it a viable alternative to high-resource-demanding models like ChatGPT.

2. Accuracy and Response Quality

ChatGPT: Known for its ability to provide highly accurate and nuanced responses, ChatGPT excels in content creation, problem-solving, and coding assistance. It can generate long-form content and has a strong understanding of complex topics.

DeepSeek: While DeepSeek performs well for general queries and casual interactions, it may struggle with complex problem-solving tasks compared to ChatGPT. Its responses tend to be concise and efficient, making it a suitable choice for straightforward queries but less reliable for in-depth discussions.

3. Computational Efficiency and Cost

ChatGPT: Due to its extensive training and large-scale model, ChatGPT requires significant computational power, making it costlier for businesses to integrate into their systems.

DeepSeek: One of DeepSeek’s key advantages is its ability to function with reduced computing resources, making it a more affordable AI chatbot. This cost-effectiveness makes it an attractive option for startups and small businesses with limited budgets.

4. AI Training Data and Bias

ChatGPT: Trained on diverse datasets, ChatGPT aims to minimize bias but still faces challenges in ensuring completely neutral and ethical responses. OpenAI implements content moderation policies to filter inappropriate or biased outputs.

DeepSeek: DeepSeek also incorporates measures to prevent bias but may have different training methodologies that affect its neutrality. As a result, users should assess both models to determine which aligns best with their ethical considerations and content requirements.

5. Use Cases and Applications

ChatGPT: Best suited for individuals and businesses that require advanced AI assistance for content creation, research, education, customer service, and coding support.

DeepSeek: Ideal for users seeking an affordable and efficient AI chatbot for basic queries, quick responses, and streamlined interactions. It may not offer the same depth of analysis as ChatGPT but serves as a practical alternative for general use.

Which AI Chatbot Should You Choose?

The choice between ChatGPT and DeepSeek depends on your specific needs and priorities. If you require an AI chatbot that delivers high accuracy, complex problem-solving, and extensive functionality, ChatGPT is the superior choice. However, if affordability and computational efficiency are your primary concerns, DeepSeek provides a cost-effective alternative.

Businesses and developers should consider factors such as budget, processing power, and the level of AI sophistication required before selecting an AI chatbot. As AI technology continues to evolve, both ChatGPT and DeepSeek will likely see further improvements, making them valuable assets in the digital landscape.

Final Thoughts

ChatGPT and DeepSeek each have their strengths and weaknesses, catering to different user needs. While ChatGPT leads in performance, depth, and versatility, DeepSeek offers an economical and efficient AI experience. As AI chatbots continue to advance, users can expect even more refined capabilities, ensuring AI remains a powerful tool for communication and automation.

By understanding the key differences between ChatGPT and DeepSeek, users can make informed decisions about which AI chatbot aligns best with their objectives. Whether prioritizing accuracy or cost-efficiency, both models contribute to the growing impact of AI on modern communication and technology.

[dpfocu]

OpenAI’s 12 Days of “Shipmas”: Summary and Reflections

Over 12 days, from December 5 to December 16, OpenAI hosted its “12 Days of Shipmas” event, revealing a series of innovations and updates across its AI ecosystem. Here’s a summary of the key announcements and their implications:

Day 1: Full Launch of o1 Model and ChatGPT Pro

OpenAI officially launched the o1 model in its full version, offering significant improvements in accuracy (34% fewer errors) and performance. The introduction of ChatGPT Pro, priced at $200/month, gives users access to these advanced features without usage caps.

Commentary: The Pro tier targets professionals who rely heavily on AI for business-critical tasks, though the price point might limit access for smaller enterprises.

Day 2: Reinforced Fine-Tuning

OpenAI showcased its reinforced fine-tuning technique, leveraging user feedback to improve model precision. This approach promises enhanced adaptability to specific user needs.

Day 3: Sora - Text-to-Video

Sora, OpenAI’s text-to-video generator, debuted as a tool for creators. Users can input textual descriptions to generate videos, opening new doors in multimedia content production.

Commentary: While innovative, Sora’s real-world application hinges on its ability to handle complex scenes effectively.

Day 4: Canvas - Enhanced Writing and Coding Tool

Canvas emerged as an all-in-one environment for coding and content creation, offering superior editing and code-generation capabilities.

Day 5: Deep Integration with Apple Ecosystem

OpenAI announced seamless integration with Apple’s ecosystem, enhancing accessibility and user experience for iOS/macOS users.

Day 6: Improved Voice and Vision Features

Enhanced voice recognition and visual processing capabilities were unveiled, making AI interactions more intuitive and efficient.

Day 7: Projects Feature

The new “Projects” feature allows users to manage AI-powered initiatives collaboratively, streamlining workflows.

Day 8: ChatGPT with Built-in Search

Search functionality within ChatGPT enables real-time access to the latest web information, enriching its knowledge base.

Day 9: Voice Calling with ChatGPT

Voice capabilities now allow users to interact with ChatGPT via phone, providing a conversational edge to AI usage.

Day 10: WhatsApp Integration

ChatGPT’s integration with WhatsApp broadens its accessibility, making AI assistance readily available on one of the most popular messaging platforms.

Day 11: Release of o3 Model

OpenAI launched the o3 model, featuring groundbreaking reasoning capabilities. It excels in areas such as mathematics, coding, and physics, sometimes outperforming human experts.

Commentary: This leap in reasoning could redefine problem-solving across industries, though ethical and operational concerns about dependency on AI remain.

Day 12: Wrap-Up and Future Vision

The final day summarized achievements and hinted at OpenAI’s roadmap, emphasizing the dual goals of refining user experience and expanding market reach.

Reflections

OpenAI’s 12-day spree showcased impressive advancements, from multimodal AI capabilities to practical integrations. However, challenges remain. High subscription costs and potential data privacy concerns could limit adoption, especially among individual users and smaller businesses.

Additionally, as the competition in AI shifts from technical superiority to holistic user experience and ecosystem integration, OpenAI must navigate a crowded field where user satisfaction and practical usability are critical for sustained growth.

Final Thoughts: OpenAI has demonstrated its commitment to innovation, but the journey ahead will require balancing cutting-edge technology with user-centric strategies. The next phase will likely focus on scalability, affordability, and real-world problem-solving to maintain its leadership in AI.

What are your thoughts on OpenAI’s recent developments? Share in the comments!

[unleashify]

How Unleashify Uses HR Insights to Craft Strategic Modules for Interview Success

Navigating the job market can be a daunting experience for students and recent graduates. The fierce competition, and standing out among a sea of candidates requires more than just qualifications. It requires a deep understanding of what employers are truly looking for and how to present oneself as the ideal fit. This is where Unleashify steps in, providing students with a unique edge by crafting interview preparation modules that are not just theoretically sound but strategically designed with input from HR professionals across different industries.

Here’s how Unleashify uses insights from HR to create strategically based modules that help students crack their interviews and land their dream jobs.

The Role of HR Insights in Building Effective Training Modules

The HR professionals at top companies are the gatekeepers of the hiring process. They understand the latest industry trends, skills in demand, and the qualities employers seek in potential hires. By tapping into the wealth of knowledge these HR experts possess, Unleashify gains valuable insights that go beyond generic interview preparation tips.

We regularly consult HRs from various sectors to gather information on:

Emerging Industry Trends: What new skills are in demand? Which competencies are considered essential for different roles?

Common Interview Pitfalls: What are the frequent mistakes candidates make during interviews, and how can these be avoided?

Role-Specific Expectations: How do expectations differ across roles such as marketing, finance, HR, and business analytics? What qualities are HRs specifically looking for in candidates applying for these positions?

Behavioral and Situational Questions: What kind of situational and behavioral questions do recruiters prefer, and how do they assess a candidate’s responses?

These insights help Unleashify stay up-to-date with the ever-evolving job market and tailor its modules accordingly.

How Unleashify Strategically Designs Modules Based on HR Guidance

Role-Specific Interview PreparationUnleashify offers tailored modules for different job roles and industries. Whether it’s marketing, finance, human resources, or business analytics, each module is designed to address the unique requirements of that field. By understanding the expectations specific to each role, students can prepare more effectively for interviews. The modules cover everything from key technical skills to relevant behavioral attributes, ensuring a comprehensive preparation.

Real-Life Scenario-Based TrainingHR professionals emphasize the importance of situational judgment and real-life problem-solving skills. At Unleashify, we incorporate scenario-based questions and case studies into our modules. These are based on real situations shared by HRs, giving students a chance to practice and refine their approach to answering complex questions.

Behavioral Interview TechniquesMany companies today focus on assessing candidates’ behavioral traits to determine if they are a cultural fit. Using guidance from HR experts, Unleashify’s modules include comprehensive training on answering behavioral questions using methods like the STAR (Situation, Task, Action, Result) technique. We teach students how to structure their responses to demonstrate competencies such as leadership, teamwork, adaptability, and problem-solving.

Feedback from HR on Mock InterviewsOne of the key ways Unleashify enhances its training is by arranging mock interviews where feedback is provided directly by HR professionals. This gives students a unique opportunity to receive real-world insights from those who actually conduct interviews. The feedback helps in refining their responses, body language, and overall presentation.

Continuous Updates Based on HR InputThe job market is dynamic, with employer expectations changing rapidly. To stay relevant, Unleashify constantly updates its training materials and modules based on ongoing feedback from HR professionals. This ensures that the content remains current and aligned with what companies are looking for, giving students an edge over the competition.

Strategic Structure of Unleashify’s Modules

Our modules follow a structured, step-by-step approach designed to build students’ confidence and competencies progressively:

Foundation Level — Skill Development and Understanding the BasicsWe start by helping students strengthen their fundamentals, including key technical skills and industry-specific knowledge. HRs provide input on the core competencies expected for each role, which helps us ensure that students are focusing on the right areas from the outset.

Intermediate Level — Role-Specific Preparation and Industry InsightsOnce the basics are covered, we move on to preparing students for the specific demands of the job they’re aiming for. HR insights help us create role-specific training that emphasizes industry trends, commonly asked questions, and required certifications or knowledge.

Advanced Level — Mock Interviews and Feedback SessionsThe final stage is where we put all the preparation into practice. We conduct mock interviews where HR professionals give direct feedback, helping students refine their answers and boost their confidence. These advanced sessions also cover strategic approaches to handling curveball questions and negotiating job offers.

Real Success Stories: How Unleashify’s Approach Works

Several Unleashify students have shared stories of their transformation from nervous interviewees to confident job applicants. By using our HR-guided modules, they gained a better understanding of what recruiters look for and how to present themselves effectively. With access to real-world scenarios, continuous feedback, and an ever-updating curriculum, our students were able to secure roles in top companies across various industries.

Why Partnering with Unleashify Makes a Difference

While traditional interview preparation often involves rote learning and memorization of answers, Unleashify’s strategic approach offers a real-world edge. By leveraging insights from HRs, we provide students with practical, in-depth preparation that goes beyond surface-level guidance. Our modules are designed to be adaptable, ensuring that students stay prepared for whatever the interview process throws at them.

Conclusion

Cracking the interview is more than just answering questions correctly — it’s about understanding what recruiters are looking for and presenting oneself as the ideal candidate. With Unleashify’s HR-guided modules, students are equipped with the knowledge and skills to do just that. Our continuous collaboration with HR professionals ensures that our content stays relevant, practical, and impactful.

Choose Unleashify for a strategically designed preparation experience that aligns with real-world expectations. Let us help you unlock your potential, confidently navigate the interview process, and achieve your career goals. For Enquiries: https://form.jotform.com/unleashify/unleashifyenquiry

#Unleashify #CareerSuccess #MBAstudents #InterviewPreparation #PracticalSkills #Networking #CareerGuidance #MBA #BBA #BCOM #MCOM #WORK #JOB #WFH #Hiring

[grimbz007]

Friday, 26th October 2024,

How to unlock your creavity, a reminder to one’s self:

I want to track my progress, bit by bit, and witness my growth over time. Some may say my drive for improvement is overly ambitious, but for me, it’s rooted in hope…

A hope to finally succeed and, perhaps more deeply, a desire to prove to my parents that my decision to pursue art full-time was the right one. Every step forward, no matter how small, brings me closer to realising both my dreams and my belief in the path I’ve chosen

Again, I am in my first year…

My teacher recommended me this book, It’s book about animation, by Shamaus Culhane, he became the lead designer for Snow White. Fun fact: He was on the verge of being fired in his earlier years

Honestly… It’s inspiring to look back and see how people in the past, with far less technology than we have today, still found ingenious ways to solve complex problems. It’s comforting to realise that, with time these struggles and uncertainties, that I’m facing now, will begin to face, again with due time…

This reminds me of how artists in earlier times used pinholes to aid in their painting…a simple yet brilliant tool! Honestly, reinforces the idea how references are so important!

(Another nice reminder to use them)

The author begins by describing how their animation work seemed to occur in two distinct stages.

The first stage was a “daydream” phase characterised by a burst of energy where the artist avoided contemplation, allowing their subconscious mind to take over! (Introspection was absent during this part of the process)

The second stage was more deliberate, involving conscious thought and analysis, where the artist took time to reflect on the drawing and the emotions it conveyed.

The author references a specific book, which discusses the functions of the brain and the idea that the right side is more creative, while the left side is more analytical.

We can see it through how he highlights the quote from the book he read, stating that the brain works best when daydreaming, hinting at the value of the right hemisphere in the creative process.

This section concludes by illustrating the practical results of this theory, showing a set of drawings that progressively improve within a short span of time. These drawings exemplify how activating the right side of the brain leads to creative breakthroughs!

Again, I also do think Pomodoro technique works wonders!

Especially with an artist with ADHD (like me), it’s basically when break your work time into intervals (traditionally 25 minutes long, but I do around 30 minutes, since I have been training my brain) called “Pomodoros,” followed by short breaks (usually 5 minutes, once again I do 2 minutes each)

REMEMBER TO PLAN PLAN PLAN! BEFORE YOU DRAW OR YOU END UP BLANK……………..

Anyway, the author quotes that when creativity is in demand, the right side must suppress the left side’s desire to control and analyse. To maintain the creative flow, it’s important to avoid overthinking, as even a single moment of conscious thought can halt the creative process.

In summary, this chapter of the book (3) emphasises the distinction between the analytical and creative functions of the brain, showing how the creative side flourishes when allowed to operate without interference from the more rational side.

It suggests that achieving artistic breakthroughs requires letting go of conscious thought and trusting the intuitive, subconscious processes associated with the right side of the brain, which… Worked!

❤️ Less thinking more working, get your ideas down on paper so you can develop them into the thoughts you want! That’s how you can truely create what you think about!

Examples of drawings I did with this new mindset! They roughly took the same amount of time, around 10-45 minutes! (Done in span of 2 days, school work is such a bitch…)

[uthra-krish]

The Skills I Acquired on My Path to Becoming a Data Scientist

Data science has emerged as one of the most sought-after fields in recent years, and my journey into this exciting discipline has been nothing short of transformative. As someone with a deep curiosity for extracting insights from data, I was naturally drawn to the world of data science. In this blog post, I will share the skills I acquired on my path to becoming a data scientist, highlighting the importance of a diverse skill set in this field.

The Foundation — Mathematics and Statistics

At the core of data science lies a strong foundation in mathematics and statistics. Concepts such as probability, linear algebra, and statistical inference form the building blocks of data analysis and modeling. Understanding these principles is crucial for making informed decisions and drawing meaningful conclusions from data. Throughout my learning journey, I immersed myself in these mathematical concepts, applying them to real-world problems and honing my analytical skills.

Programming Proficiency

Proficiency in programming languages like Python or R is indispensable for a data scientist. These languages provide the tools and frameworks necessary for data manipulation, analysis, and modeling. I embarked on a journey to learn these languages, starting with the basics and gradually advancing to more complex concepts. Writing efficient and elegant code became second nature to me, enabling me to tackle large datasets and build sophisticated models.

Data Handling and Preprocessing

Working with real-world data is often messy and requires careful handling and preprocessing. This involves techniques such as data cleaning, transformation, and feature engineering. I gained valuable experience in navigating the intricacies of data preprocessing, learning how to deal with missing values, outliers, and inconsistent data formats. These skills allowed me to extract valuable insights from raw data and lay the groundwork for subsequent analysis.

Data Visualization and Communication

Data visualization plays a pivotal role in conveying insights to stakeholders and decision-makers. I realized the power of effective visualizations in telling compelling stories and making complex information accessible. I explored various tools and libraries, such as Matplotlib and Tableau, to create visually appealing and informative visualizations. Sharing these visualizations with others enhanced my ability to communicate data-driven insights effectively.

Machine Learning and Predictive Modeling

Machine learning is a cornerstone of data science, enabling us to build predictive models and make data-driven predictions. I delved into the realm of supervised and unsupervised learning, exploring algorithms such as linear regression, decision trees, and clustering techniques. Through hands-on projects, I gained practical experience in building models, fine-tuning their parameters, and evaluating their performance.

Database Management and SQL

Data science often involves working with large datasets stored in databases. Understanding database management and SQL (Structured Query Language) is essential for extracting valuable information from these repositories. I embarked on a journey to learn SQL, mastering the art of querying databases, joining tables, and aggregating data. These skills allowed me to harness the power of databases and efficiently retrieve the data required for analysis.

Domain Knowledge and Specialization

While technical skills are crucial, domain knowledge adds a unique dimension to data science projects. By specializing in specific industries or domains, data scientists can better understand the context and nuances of the problems they are solving. I explored various domains and acquired specialized knowledge, whether it be healthcare, finance, or marketing. This expertise complemented my technical skills, enabling me to provide insights that were not only data-driven but also tailored to the specific industry.

Soft Skills — Communication and Problem-Solving

In addition to technical skills, soft skills play a vital role in the success of a data scientist. Effective communication allows us to articulate complex ideas and findings to non-technical stakeholders, bridging the gap between data science and business. Problem-solving skills help us navigate challenges and find innovative solutions in a rapidly evolving field. Throughout my journey, I honed these skills, collaborating with teams, presenting findings, and adapting my approach to different audiences.

Continuous Learning and Adaptation

Data science is a field that is constantly evolving, with new tools, technologies, and trends emerging regularly. To stay at the forefront of this ever-changing landscape, continuous learning is essential. I dedicated myself to staying updated by following industry blogs, attending conferences, and participating in courses. This commitment to lifelong learning allowed me to adapt to new challenges, acquire new skills, and remain competitive in the field.

In conclusion, the journey to becoming a data scientist is an exciting and dynamic one, requiring a diverse set of skills. From mathematics and programming to data handling and communication, each skill plays a crucial role in unlocking the potential of data. Aspiring data scientists should embrace this multidimensional nature of the field and embark on their own learning journey. If you want to learn more about Data science, I highly recommend that you contact ACTE Technologies because they offer Data Science courses and job placement opportunities. Experienced teachers can help you learn better. You can find these services both online and offline. Take things step by step and consider enrolling in a course if you’re interested. By acquiring these skills and continuously adapting to new developments, they can make a meaningful impact in the world of data science.

[nitrosodiumrapidproto]

Proposal for my new Project

Having now made all three of the “tutorial” games, I have been able to make an educated decision on which will be the most interesting and rewarding to develop. I have chosen the dungeon crawler, as I believe it has the best potential and ability to be innovated on. The infinite runner is something I have done before for Sweat Pursuit, and the block breaker is a very rudimentary concept gameplay-wise and something I am not interested in. Meanwhile, the dungeon crawler is immediately a multifaceted idea with elements of exploration, combat, and strategy interwoven. A lot can be added to this basic framework, including more complex health and ammo systems, AI for the enemies, and interesting level design and emergent gameplay in terms of problem-solving and combat puzzles. The top-down perspective is also something I have not yet really tried, which will require new artistic solutions to make assets for.

The current name for the project is “Accursed Crucible”. It will take place in a fantasy setting; specifically, within the titular Crucible, which is an ancient forge overrun with fell creatures. You play as a lowly dwarf armed with the Hammer of Heaven, a holy weapon that can banish the evil and purify the Crucible. Lore-wise I have some basic ideas; that the Hammer was created in the Crucible and is naturally drawn back to the place from which its metal was first poured. Forging its own destiny, as it were. The artstyle and sprites will likely be 16-bit, since smaller sprites take less time to draw, but I don’t want to make them too simplistic. This should allow a level of detail to be retained roughly on the level of a Terraria or RPGmaker NPC. The enemies will be typically evil fantasy creatures: orcs, undead, liches, and similar things. Lore-wise they have taken over the Crucible to forge their own holy weapon and wreak havoc with it, and of course the powers of heaven cannot abide that, so they have sent you as a sort of dwarven messiah. The combat will be as simple as it was in the dungeon crawler tutorial – move away from enemies while shooting your hammer’s projectiles at them. Strategy will be added by having to manage your own ammo; staying alive and out of danger while finding more. This then incentivises exploration when it would have otherwise been unnecessary beyond finding the exit.

I plan to go back to basics when it comes to the art assets for this game. I will use Photoshop for both character sprites (i.e. the dwarf and the enemies) and also for the tilemap. In-game most things will be paper flipbooks, as they were in my first project, Toxic Waters. Then Unreal is the obvious choice for development; though other things are available like Unity or Roblox, I see no benefit to using them for this, especially when my original dungeon crawler code is on Unreal anyhow. There will not be any new techniques this time, I think.

Here is a MSCW (Moscow) analysis of the project:

Must Have - Some nice spritework, health + ammo system, multiple enemy types

Should Have - Notes with lore, high score system, locked doors

Could Have - Chests with randomly generated loot, immersive-sim elements such as choosing to bash down a door at the cost of ammo, using a rare lockpick to open it, or searching around for the key

Won't Have - Multiple weapons, arena-locks

This week, I plan to lay the groundwork for the project, which is mostly gameplay. Health and ammo, enemy detection, more enemy types, ammo and health pickups, et cetera. If I have time, I will make sprites for everything, including the tilemap. How I will make the map I am still not sure - maybe a tilemap pointed upward with collision boxes to bulk out the walls?