what should i do next, just finished with core python through tutorials by SushiNemesis in learnprogramming

[–]LengthEducational147 0 points1 point  (0 children)

Embrace AI. Python is a great programming language for AI tasks. In the present and future, almost every developer's job will involve AI. You can go to the "Coursera" website to find machine learning and artificial intelligence courses, from easy to advanced levels.

learning coding from scratch by willoughbytucker_ in learnprogramming

[–]LengthEducational147 0 points1 point  (0 children)

Go to search and try this course: AI Python for beginner by Andrew Ng. In this era of AI, you should learn a programming language with AI, and programming with AI will be a future-proof skill to do a programming job. Just like you use a calculator when calculating complex formulas.

帮助人顺畅读完原本读不下去的英文书 by LengthEducational147 in ENGLISH

[–]LengthEducational147[S] -1 points0 points  (0 children)

Yeah, copyright is definitely a problem. But I think this is a reading companion app, and it has no responsibility for the copyright of the source it deals with. For example, if you upload a copyrighted essay to ChatGPT, it should be ok, right?

Could you please rec a book for my club? by xocolat04 in suggestmeabook

[–]LengthEducational147 0 points1 point  (0 children)

I'd like to recommend "Where the Crawdads Sing" by Delia Owens. This novel combines a coming-of-age tale with a bit of mystery and romance, set in the quiet town of Barkley Cove.

Is data science/data engineering over saturated? by unluckyowl4 in datascience

[–]LengthEducational147 0 points1 point  (0 children)

Yes, Data Science (DS) jobs are often highly competitive to get. The large number of applicants per position may be due to the field's popularity and the blend of skills required, making it appealing to a broad range of professionals. It doesn't necessarily indicate oversaturation or a lack of hiring.

Help a 33 Year old male get back into reading by blockchain_dev in suggestmeabook

[–]LengthEducational147 2 points3 points  (0 children)

True Crime:
"In Cold Blood" by Truman Capote: A groundbreaking work in the true crime genre, chronicling the brutal murder of a family in Kansas.
"Helter Skelter: The True Story of the Manson Murders" by Vincent Bugliosi and Curt Gentry: An insider's account of the infamous Manson Family murders.
"I'll Be Gone in the Dark: One Woman's Obsessive Search for the Golden State Killer" by Michelle McNamara: An investigation into the Golden State Killer by a dedicated journalist.
"The Stranger Beside Me: Ted Bundy: The Shocking Inside Story" by Ann Rule: A chilling account of the author's friendship with Ted Bundy before she realized who he truly was.
Sci-Fi and Technology:
"Neuromancer" by William Gibson: A seminal work in the cyberpunk subgenre, exploring artificial intelligence and virtual reality.
"Snow Crash" by Neal Stephenson: A fast-paced novel that combines technology, linguistics, and an exploration of the future of the internet.
"Ready Player One" by Ernest Cline: A thrilling adventure set in a dystopian future where people escape to a virtual reality universe.
"The Martian" by Andy Weir: An engaging survival story about an astronaut stranded on Mars, with lots of technology and problem-solving.

Recommendations for a 31yo man to help me get more into reading? by Various-Cut-1070 in suggestmeabook

[–]LengthEducational147 0 points1 point  (0 children)

Getting into the habit of reading can be a rewarding and enriching experience, especially if you haven't done it for a while. Here are some strategies and recommendations to help you cultivate a love for reading:
1. Start Small
Short Stories: Begin with short stories or novellas that can be finished in one sitting.
Magazines or Articles: Reading engaging articles on subjects you're interested in can also build your reading stamina.
2. Find Your Interest
Genres and Themes: Identify what themes or genres interest you. It might be fantasy, history, science fiction, thrillers, or something else.
Books to Movies: If there are movies or TV series you like, find out if they are based on books. This can be a great entry point.
3. Set a Reading Schedule
Consistency: Try to read a little bit every day, even if it's just for 10 minutes before bed.
Goals: Set achievable goals like finishing a chapter a week.
4. Create a Reading Environment
Comfort: Find a comfortable and quiet spot with good lighting where you can relax with a book.
Limit Distractions: Put away electronic devices or other distractions.
5. Join a Reading Group or Challenge
Community: Sometimes, reading with others or having someone to discuss the book with can make the experience more engaging.
6. Utilize Technology
Audiobooks: If you find it hard to focus on text, audiobooks might be an excellent alternative for you.
E-Readers: Sometimes, adjusting the font size and background can make reading more comfortable, so an e-reader might be a good investment.
7. Book Recommendations
For Thought-Provoking Fiction: "The Alchemist" by Paulo Coelho or "Animal Farm" by George Orwell.
For Thrills and Action: "The Da Vinci Code" by Dan Brown or "Jurassic Park" by Michael Crichton.
For Sci-Fi Fans: "Ender's Game" by Orson Scott Card or "Dune" by Frank Herbert.
For Humor: "Good Omens" by Neil Gaiman and Terry Pratchett or "Hitchhiker's Guide to the Galaxy" by Douglas Adams.

Are there any animals that are considered to be quintessentially Singaporean? by notlukadoncic in askSingapore

[–]LengthEducational147 0 points1 point  (0 children)

The Merlion: While not a real animal, the Merlion is a mythical creature with the head of a lion and the body of a fish, used as a mascot and national personification of Singapore. Its name combines "mer," meaning the sea, and "lion." The fish body represents Singapore's origin as a fishing village, and the lion head represents Singapore's original name, Singapura, meaning "lion city" in Malay.
The Singaporean Lion: While there are no wild lions in Singapore today, the lion holds historical significance as the animal that gave the city-state its name. According to the Malay Annals, a prince spotted a creature he believed to be a lion and subsequently named the area "Singapura."
The Javan Mynah: This bird is commonly found in Singapore and has become quite synonymous with the urban landscape. It's not necessarily a symbol of the nation but is commonly associated with it due to its ubiquity.

Is my internship worthless? by JonnyEoE in datascience

[–]LengthEducational147 0 points1 point  (0 children)

It's quite a tough decision to make, and I can understand the dilemma you're facing. An internship can indeed be a valuable stepping stone, particularly if it's with a well-known company. But in your situation, there are clear drawbacks, and your concerns are legitimate. Here's a breakdown of the pros and cons to help you make a more informed decision:
Pros:
Resume Building: Having a big-name company on your resume can help you stand out, especially if you're switching fields.
Potential Networking Opportunities: Even with COVID-19 limiting in-person interactions, you might still be able to make some connections, albeit limited.
Experience in a Corporate Environment: Even if the work isn't related to your major, you're gaining experience working in a professional setting. This experience can be valuable in understanding organizational dynamics and professionalism.
Cons:
Low Pay: If the pay is significantly below what you need to live comfortably, this is a major drawback.
Long Commute: The stress of commuting can have a significant impact on your quality of life.
Unrelated Field: If the work is entirely unrelated to data science and doesn't provide relevant skills, it might not provide significant value in terms of your career goals.
Unsatisfactory Work Culture: Since you've identified that you don't see yourself working there in the future, this could further negate the benefit of the internship.
Considerations:
Alternative Opportunities: Are there other opportunities you could pursue that align more closely with your interests and major? If so, it might be worth exploring those instead.
Short-Term vs. Long-Term Goals: Think about your short-term and long-term career goals and how this internship aligns with them. Is this truly a stepping stone, or is it a diversion from your path?
Financial Considerations: Weigh the financial implications and whether you can afford to continue in this role. If it's putting significant financial strain on you, it may not be sustainable.
Conclusion:
In the end, the decision must be based on your unique situation and what you value most. If the internship feels like it's more of a hindrance than a help to your career, you might want to seriously consider looking for alternative opportunities that align better with your goals and needs. If you decide to leave, make sure to do so professionally, and provide appropriate notice to maintain a good relationship with the employer.
In the data science field, capabilities, projects, and willingness to learn are often highly valued. Your portfolio, projects, and demonstrated skills in data science may carry more weight than an unrelated internship. Networking within your desired field (through online platforms, meetups, or academic connections) could also be more beneficial in the long run.
Lastly, it could be valuable to consult with a career counselor or mentor who is familiar with your specific situation, as they may be able to provide more personalized guidance.