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projectadulthood · 2 years

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39 Best Websites to Find Free Textbooks, Research Papers, Study Guides, and Books

Whether you’ve just received a long list of textbooks you need for a specific uni class or are looking for a particular book/research paper for a high school project, books (and journal subscriptions) can be expensive.

The good news is that there are plenty of resources online where you can find free PDF versions of most written materials, starting with Atkinson & Hilgard’s Introduction to Psychology and ending with Shakespeare’s Macbeth.

Note that although some of the websites below provide access to copyright-free texts only, or texts that publishers/authors have agreed to share freely, others have been accused of internet privacy.

However, many people see open access practices as morally acceptable, especially considering the unsustainable prices of academic textbooks and papers.

To quote a recent paper on the topic:

"Since shadow libraries are a product of the cooperation between scholars, who contribute texts and other resources (such as donations, volunteer work, etc.), shadow libraries represent a ‘bottom-up’, radical approach to open access: a physical approximation of the Platonic ideal of knowledge sharing that would exist if there were no legal, economic, or institutional barriers to the circulation of scholarly knowledge."

Free Textbooks

Library Genesis

Library Genesis, or Libgen for short, is a shadow online library website where college students can find academic books (including those that are hard to find/very expensive) and scholarly journal articles.

The site also hosts general-interest books, audiobooks, comics, magazines, and images.

Z-Library

Z-Library is another shadow library website that hosts college textbooks, scholarly journal articles, and general-interest books. It calls itself “the world’s largest e-book library.” It mirrors Library Genesis.

The front page also features some of the most popular books at the time. When we viewed it, these included “Thinking Fast and Slow” by Daniel Kahneman, The Book Thief by Markus Zusak, and Harry Potter the Complete Collection by J. K. Rowling.

You can also use the right-hand navigation menu to see the books that have been added most recently, as well as sort through books based on category.

Use the Book Request option if you can’t find a book you’re looking for. There’s no guarantee your book will be added, but community members look at requests to see what books to upload (you can also upload books).

PDF Drive

PDF Drive is an online library with a ton of free ebooks and PDF textbooks in various categories, including academic & education (but also lifestyle, personal growth, art, linguistics, etc.)

ForCoder.su

Forcoder.su has lots of online textbooks on programming. It also provides free access to online courses, like Apache Kafka for beginners and object-oriented programming with Python. Currently, there are hundreds of free courses available.

Online Mathematics Textbooks

Online Mathematics Textbooks is your source for free digital textbooks on all things math. It’s just one page featuring 77 textbooks.

Tech Books for Free Download

Tech Books for Free Download is where you’ll find free science and engineering books on topics ranging from data mining to general relativity.

There’s no way to search for books easily. However, the site is divided into books on Linux, Java, Microsoft, C and C++, Perl/Python, Science, Networking, Database, Security, and Assembly.

Free Tech Books

Free Tech Books is an open textbook library. It provides access to free computer science books and textbooks, plus lecture notes. All the books and lecture notes listed on this site are freely available on authors’ and/or publishers’ sites.

You can browse books by category (computer science, mathematics, supporting fields, operating system, programming/scripting, miscellaneous), author, publisher, or license.

Directory of Open Access Books

Directory of Open Access Books (DOAB) is a website that indexes and provides access to academic, peer-reviewed open-access books. All disciplines are covered, but there’s a particular emphasis on humanities, social sciences, and law.

Ubiquity Press

Ubiquity Press has been an open-access publisher of academic, peer-reviewed books and journals since 2012. It was founded by University of College London (UCL) researchers.

Research Papers

Sci-Hub

Sci-hub has the most expansive collection of research papers. Its mission is to “remove all barriers in the way of science.”

Directory of Open Access Journals

Directory of Open Access Journals (DOAJ) is an online directory of open-access, peer-reviewed research journals covering humanities, social sciences, technology, science, medicine, and art.

The directory indexes journals from different countries and languages. DOAJ is supported financially by publishers, libraries, and other organizations.

Wiley Open Access

Wiley Open Access provides peer-reviewed open-access journals across topics like biochemistry, economics, sociology, mathematics, and law.

SpringerOpen

SpringerOpen publishes open-access journals across a wide range of areas, mainly STEM.

Elsevier

Elsevier publishes open-access, peer-reviewed journals. You can search for journals by title, keyword, or subject (dentistry, nursing, decision sciences, etc.)

Springer Link

Springer Link provides access to ebooks, peer-reviewed journal articles, and other resources (mostly scientific).

BASE

BASE is a search engine for academic texts, including journals, digital collections, institutional repositories, etc. You can access about 60% of the indexed texts for free.

Study Guides

Bibliomania

Bibliomania has study guides to the most-read books, like “A Hero of Our Time,” “Animal Farm,” and even Irish politics. It also has over 2,000 classic texts, book summaries, author biographies, and more.

Books

Open Library

Open Library is an open library catalog of more than 3 million new and old books. The project was created by the nonprofit organization Internet Archive. It has also received partial funding from Kahle/Austin Foundation and the California State Library.

You can read old books without an account. However, for new books, you’ll need to set one up (it takes just a few minutes).

Internet Archive

Internet Archive is a digital library of ebooks. It also has free movies, music, and software.

Project Gutenberg

Project Gutenberg is a famous site where you can find lots of free books. There are more than 60,000 books in its collection.

Standard Ebooks

Standard Ebooks take public domain texts and make them as nice as new books. They fix typographical errors and typos, create cool cover art, and format the text for e-readers like Kindle and iPad.

Planet eBook

Planet eBook is where you can download free PDF copies of classics like Franz Kafka’s The Metamorphosis, Fyodor Dostoyevsky’s Crime and Punishment, and Joseph Conrad’s Heart of Darkness.

What really makes Planet eBook stand out is its UX. It’s one of those rare sites that are super easy to navigate and actually look good (aesthetically speaking).

The Ultimate Book Search Engine

The Ultimate Book Search Engine is an ebook search engine that includes 350 open directory sites that relate to ebooks. It was created by the Reddit user u/NotoriousYEG.

Classic Bookshelf

The Classic Bookshelf is a site where you’ll find lots of classic novels, everything from Charles Dickens and Leo Tolstoy.

Literature.org

Literature.org features classic works of English literature, both fiction and non-fiction.

Bartleby

Bartleby is a site that features both fiction and nonfiction books.

Fiction.us

Fiction.us has a ton of books, including fiction, short stories, children's picture books, poetry, books on writing, and plays.

Classic Literature Library

As the name suggests, Classic Literature Library is where you’ll find classic literature works.

Ideology.us

Ideology.us is a site that has ebooks on philosophy, psychology, sociology, politics, and education.

The Complete Works of William Shakespeare

The Complete Works of William Shakespeare is where you’ll find all of Shakespeare’s work. The site is run by The Tech, the largest and oldest newspaper by the Massachusetts Institute of Technology in Cambridge.

Read Books Online

Read Books Online has around 6,000 ebooks, including novels, short stories, poems, essays, plays, and non-fiction.

Public Bookshelf

Public Bookshelf is a site dedicated to romance novels.

Categories of ebooks here include contemporary romance, romantic suspense, historical romance, regency romance, inspirational romance, vampire romance, western romance, general romance, and fantasy and paranormal romance.

The Perseus Project

The Perseus Project is a digital library created by Tufts University with books from Ancient Rome and Greece, published in original languages and English.

Chest of Books

Chest of Books has books on a ton of different subjects, including animals, finance, real estate, science, and travel.

The Literature Network

The Literature Network has books by authors like Anne Bronte, Lewis Carroll, and Lord George Gordon Byron. It also features forums, literature summaries, and quizzes.

The Online Books Page

The Online Books Page is a site by the University of Pennsylvania that houses books in categories like philosophy, history, medicine, science, agriculture, music, anthropology, and more. The site also links to the following:

Banned Books Online: A directory of books that were once banned and links to places where you can read them in full.

A Celebration of Women Writers: A directory that lists online editions of literary works by women as well as resources about women writers.

Prize Winners Online: A directory of prize-winning books.

Many Books

Many Books is “your friendly neighborhood library.” It houses over 50,000 books in genres like romance, mystery, young adult, horror, and non-fiction. You can read books online or download them to your device.

Authorama

Authorama turns public domain books on sites like Google Books and Project Gutenberg into HTML format, making it easier to read them.

Audiobooks

Librivox

Librivox has free audiobooks that you can listen to from any device.

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ghostedcat-2nd-remix · 10 months

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Coding Blog: Introductions

Hi everyone, name's ghostedCat. From seeing the other coding blogs on this site, I have decided to create one for myself to keep me motivated and keep track of my coding progress.

As of right now, I am currently a college student majoring in Computer Science. My school's program mostly taught Java in its curriculum, and I'm looking to self teach myself Python, Rust, Javascript, C, and C++.

#codeblr #coding #student #studying

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tearsinthemist · 4 months

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Want to learn something new

Want to learn something new in 2022??

Absolute beginner adult ballet series (fabulous beginning teacher)

40 piano lessons for beginners (some of the best explanations for piano I’ve ever seen)

Excellent basic crochet video series

Basic knitting (probably the best how to knit video out there)

Pre-Free Figure Skate Levels A-D guides and practice activities (each video builds up with exercises to the actual moves!)

How to draw character faces video (very funny, surprisingly instructive?)

Another drawing character faces video

Literally my favorite art pose hack

Tutorial of how to make a whole ass Stardew Valley esque farming game in Gamemaker Studios 2??

Introduction to flying small aircrafts

French/Dutch/Fishtail braiding

Playing the guitar for beginners (well paced and excellent instructor)

Playing the violin for beginners (really good practical tips mixed in)

Color theory in digital art (not of the children’s hospital variety)

Retake classes you hated but now there’s zero stakes:

Calculus 1 (full semester class)

Learn basic statistics (free textbook)

Introduction to college physics (free textbook)

Introduction to accounting (free textbook)

Learn a language:

Ancient Greek

Latin

Spanish

German

Japanese (grammar guide) (for dummies)

French

Russian (pretty good cyrillic guide!)

Jan 2, 2023

Want to learn something new in 2023??

Cooking with flavor bootcamp (used what I learned in this a LOT this year)

Beekeeping 101

Learn Interior Design from the British Academy of Interior Design (free to audit course - just choose the free option when you register)

Video on learning to read music that actually helped me??

How to use and sew with a sewing machine

How to ride a bike (listen. some of us never learned, and that's okay.)

How to cornrow-braid hair (I have it on good authority that this video is a godsend for doing your baby niece's black hair)

Making mead at home (I actually did this last summer and it was SO good)

How to garden

Basics of snowboarding (proceed with caution)

How to draw for people who (think they) suck at art (I know this website looks like a 2003 monstrosity, but the tutorials are excellent)

Pixel art for beginners so you can make the next great indie game

Go (back) to school

Introduction to Astronomy (high school course - free textbook w/ practice problems)

Principals of Economics (high school course - free textbook w/ practice problems)

Introduction to philosophy (free college course)

Computer science basics (full-semester Harvard course free online)

Learn a language

Japanese for Dummies (link fix from 2022)

Ukrainian

Portuguese (Brazil)

American Sign Language (as somebody who works with Deaf people professionally, I also strongly advise you to read up on Deaf/HoH culture and history!)

Chinese (Mandarin, Simplified)

Quenya (LOTR fantasy elf language)

Dec 26, 2023

Want to learn something new in 2024??

Beginner-oriented video on how to sail

This guy has so many videos on baking different types of bread. SO very many.

Coding in Python - one of the most flexible and adaptable high-level programming languages out there - explained through projects making video games

Learn to swim! (for adult learners. I don’t care if you live in Kansas or Mali or wherever. LEARN TO SWIM.)

Learn how quantum mechanics works. Then read some more about it

[Learn about quantum mechanics again, but in a more advanced engineering/mathematics class. Then read more about the math and physics of it]

Poetry Handbook, by Mary Oliver

Something I learned this year: how to sew a quilt (Here’s a very easy beginning pattern that looks amazing and can be done with pre-cut fabric!)

How to hit the ball in softball

Tutorial video on what is under the hood of most (gas) cars + weird engine sounds and what they mean

Full beginner mechanics technical training, if you want to go more in depth

Playlist on how car engine physics work if you want to go ultra in depth

Lecture series on architecture design through study of buildings

How (American income) taxes & tax law work (choose “audit course” at checkout for free class)

Pickleball for beginners (so you can finally join your neighbor/friend/distant cousin who is always insisting you join their team)

+ Para-Pickleball for beginners (for mobility aid users!)

School is so much more fun when there’s no tests:

American Law - Contracts

Shakespeare’s Life and Plays

Fairy Tales: Meanings, Messages, and Morals

Modern Poetry

World History [Part 1, Part 2]

Learn a language:

Arabic + Resource Guide compiled from Reddit (includes info on different dialects)

Chinese (Cantonese) (audio)

Urdu (frequently recommended course on Reddit) + Resource Guide

Yucatec Maya

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snailmail-codes · 1 year

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Introduction<3

I wanted to start this blog so I could track my progress of the materials I learn as well as to motivate me to really get into coding. I’m so focused on coding for college that i’ve never taken the time to explore programming on my own. So the purpose of this blog is to help me explore that by sharing my experiences.

About Me:

My name is Heather

Age: 21

Pronouns: she/her

I’m a college student studying computer science

Learning French (and maybe Spanish or German)

INFP

My Hobbies & Interests:

Making playlist on my spotify for every scenario & genre

Reading

Learning to cook/bake new recipes

Games (Roguelikes, sandbox, and indie games)

Plants

Learning the piano and guitar

What I Post:

I’ll be posting about my programming and coding journey throughout my uni/personal experiences then hopefully one day post my time as a software developer. I’ll post some hopefully useful resources, info, and such that can also help others. As well as codeblr/studyblr challenges. Mostly though i’ll be posting to motivate myself and be productive.

(I’ll probably post something off topic once in a while such as just general updates, a langblr post, or a new playlist I made.)

Goals:

These are my current long-term goals that I would like to achieve. I’ll post my more specific goals and their status in other post.

- Programming

HTML, CSS, JavaScript

Python

C++

Java

- Personal

Get accepted to an internship

Continue learning french

Become more involved with college activities

Get a job as a software developer

I also wanted to mention these accounts who inspired me to start this blog and expand my learning. 💚

@xiacodes @anndcodes @web-dev-with-bea

#about me #intro post #studyblr introduction #codeblr #studyblr #progblr #programming #computer science #code

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amparol12 · 5 months

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Mastering the Dig: Your Roadmap to the Top 10 Data Mining Courses

In the digital age, where data is a valuable currency, the field of data mining has emerged as a critical discipline for extracting meaningful insights from vast datasets. Whether you're a student looking to ace your data mining assignments or a professional seeking to enhance your skills, a solid education is paramount. In this blog, we'll guide you through the top 10 data mining courses, with a special emphasis on the exceptional resource – DatabaseHomeworkHelp.com – known for its expertise in providing help with data mining homework.

DatabaseHomeworkHelp.com: Your Expert Companion in Data Mining When it comes to mastering the intricacies of data mining, DatabaseHomeworkHelp.com takes the lead. This website specializes in offering comprehensive solutions for data mining assignments, ensuring that students grasp the concepts and techniques involved. With a team of experienced tutors, DatabaseHomeworkHelp.com is your go-to resource for personalized assistance and in-depth understanding of data mining principles.Why Choose DatabaseHomeworkHelp.com?

Expert Tutors: Benefit from the guidance of experienced tutors who have a deep understanding of data mining concepts and practical applications.

Customized Solutions: Get tailor-made solutions for your data mining homework, addressing your specific requirements and ensuring a clear understanding of the subject.

Timely Delivery: DatabaseHomeworkHelp.com is committed to delivering solutions within deadlines, allowing you to stay on track with your academic schedule.

Affordable Pricing: Enjoy cost-effective solutions without compromising on the quality of assistance you receive.

Now, let's explore other noteworthy resources offering top-notch data mining courses to further enrich your learning experience.

"Data Mining Specialization" by University of Illinois (Coursera) This specialization covers the fundamentals of data mining, including techniques for pattern discovery, clustering, and predictive modeling. It is a comprehensive program suitable for beginners and intermediate learners.

"Practical Machine Learning for Computer Vision" by Stanford University (Coursera) Delve into the intersection of data mining and computer vision with this course. Stanford University's offering focuses on practical applications, making it an excellent choice for those interested in extracting insights from visual data.

"Data Science and Machine Learning Bootcamp with R and Python" by Udemy Led by industry experts, this Udemy bootcamp provides a broad overview of data science and machine learning, making it an ideal choice for individuals seeking a holistic understanding of these fields.

"Text Mining and Analytics" by University of Illinois (Coursera) Explore the world of text mining with this Coursera specialization. The course covers techniques for extracting valuable information from textual data, an essential skill in the data mining domain.

"Advanced Machine Learning Specialization" by National Research University Higher School of Economics (Coursera) This specialization delves into advanced machine learning concepts, providing a solid foundation for those interested in leveraging machine learning algorithms for data mining purposes.

"Data Mining and Analysis" by Columbia University (edX) Columbia University's edX course explores the principles of data mining and analysis, emphasizing real-world applications. It's suitable for learners seeking a practical approach to data mining.

"Introduction to Data Science" by Microsoft (edX) Offered by Microsoft on edX, this course introduces learners to the essentials of data science, including data mining techniques. It's a great starting point for beginners in the field.

"Mining Massive Datasets" by Stanford University (Coursera) For those looking to tackle large datasets, this Stanford University course covers the challenges and solutions associated with mining massive amounts of data, preparing learners for real-world scenarios.

"Data Mining and Machine Learning in Python" by Udemy This Udemy course focuses on data mining and machine learning using Python. With hands-on exercises, it's a practical resource for learners looking to apply data mining techniques using Python programming.

Conclusion: Embarking on a journey to master data mining requires access to high-quality resources and expert guidance. The top 10 data mining courses mentioned in this blog, with a special nod to DatabaseHomeworkHelp.com, cater to a variety of skill levels and interests. Whether you're a student seeking homework assistance or a professional looking to enhance your data mining skills, these courses provide a robust foundation for success in the dynamic field of data mining. Start your learning journey today and unlock the potential of data mining expertise.

#database #homework #do my data mining homework #assignment help

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metamatar · 1 year

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Could you recommend a beginner's book or books for someone who wants to get into programming as a hobby? I know HTML and CSS, working on learning JS, but I kinda wanna get into mainline programming for kicks, and I'm unsure about how to branch out of web development.

Hello!

There's lots of things programming as a hobby can mean: do you want to do leetcode for fun? do you want to write programs to automate workflows? write mini video games? write programs for microcontrollers to affect the world outside your computer? do things with data analysis? figuring this out is likely to making learning way more interesting to you!

I have zero frontend experience with doing anything on web. My only experience with JS is figuring out what to block on websites. So if you want to add functionality to websites, keep at JS? I hear that the gold standard for learning web related technologies for free is freecodecamp.org so might be worth looking at if you haven't already!

In 2023, 75% of what you want to do can be done with python, so imo it is worth picking up! It's also a very intuitive language to start with if you feel like JS is slippery.

I picked up python from MIT's 6.001x, when it was still for free on edX with the autograder but all the material is still available here on OCW. This is a very traditional course so I think you get a sense of whether you'll like classic problem solving in the leetcode way.

A friend of mine had a good time using Automate the Boring Stuff with Python which is a non programmers introduction to writing scripts to do useful things for python, which is much more practical course.

A more language agnostic approach might be looking through the introductory stuff in OSSU's Computer Science self taught curriculum.

Once you feel reasonably comfortable with any language, this link leads to some curated tutorials to program projects in different languages. Pick anything that you find interests you :)

#progblr #advice #asks #anon

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xpc-web-dev · 1 year

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100 days of code : day 4

(29/03/2023)

Hello, how are you everyone?

Yesterday I started the 4th I studied about the random module but I had an anxiety attack and I didn't finish. (I'm better)

Today I finished the random and we started the array. But there's still a little bit left to finish. And during the afternoon I had several ideas of things I want to learn and I had a slight outbreak because there are so many things and how to organize myself.

But something I want to share is that I don't feel like I learn from Professor Angela, her teaching is not bad and she gives a lot of exercises.

BUT my head feels that something is missing and I know that I don't really think with it, precisely because the answers are easily accessible, which makes it easier to procrastinate or, in a slight error, look for the answer (no, I don't want moralistic advice on how this is wrong, I have a conscience, I'm just sharing my logic)

And why doesn't it seem to me that I'm learning algorithms and data structure, even though today, for example, I've seen array.

So, accessing the free university on github (I'll make a post, but I'll leave a link here too) I found the Brazilian version and saw a course on Introduction to Computer Science with Python and I loved it, because then I feel like I'm going to algorithms and data structure, and it's taught by the best college in my country (my dream included)

And then for me to stop feeling like a fraud and REALLY try hard.

I decided to make my own roadmap (not the official version yet) It will basically be:

Introduction to computer science part 1 and 2

Exercises from the algorithm course in python (I did it last year, but I really want to do it and make an effort this year)

Graphs

Data structure

Object orientation

programming paradigms

Git and GitHub

Clean Code

Design system

Solid

And only after that go back to 100 days (but now managing to do algorithm exercises for example) So then it would be:

100 days of code

django

Apis

Database

Practice projects.

Another thing I wanted to share (but I'll probably talk more about it in another post) is how the pressure/hurry of wanting to get a job is screwing up my studies.

I WILL NOT be able to learn things effectively on the run.

So I talked to myself and decided that this year I'm going to focus on learning as best I can, but without rushing to get a job (I have the privilege of living with my mother and she supports me) and then next year I'll go back to the call center to pay my bills and then look for a job in the area

I want to feel confident in my code, I want to REALLY know what to do and do it well.

But it won't be in a hurry, so I prefer peace to be able to learn in the best way and everything I want than to freak out and not leave the place.

Anyway, if you've read this essay so far I thank you and I wish you well UHEUHEUHEUHUEH

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attitudetallyacademy · 1 month

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Hacks to Boost Your Java Skills in Computer Science

Introduction:

Are you a computer science student looking to level up your Java programming skills? Java is a powerful and versatile programming language used in a wide range of applications, from web development to mobile app development. Mastering Java can open up exciting career opportunities in the field of computer science. In this blog post, we'll share some hacks to help you boost your Java skills and excel in your Programming techniques and computer science studies.

Practice Regularly:

Like any other skill, programming requires consistent practice to master. Set aside dedicated time each day to work on Java coding exercises, projects, or challenges. The more you practice, the more confident and proficient you'll become in Java programming.

Build Projects:

One of the best ways to solidify your Java skills is by building real-world projects. Choose projects that interest you and align with your career goals, such as developing a web application, creating a mobile game, or building a desktop application. Building projects not only helps you apply your Java skills but also enhances your problem-solving abilities and creativity.

Explore Online Resources:

Take advantage of the wealth of online resources available for learning Java. Join online coding communities, participate in forums and discussion groups, and follow tutorials and video lectures.

Collaborate with Peers:

Learning Java doesn't have to be a solitary journey. Collaborate with your peers on coding projects, participate in hackathons or coding competitions, and engage in pair programming sessions. Working with others not only fosters a sense of camaraderie but also allows you to learn from different perspectives and approaches.

Solve Algorithms and Data Structures Problems:

Java programming is not just about syntax; it's also about problem-solving. Practice solving algorithms and data structures problems using Java, as these topics are fundamental to computer science.

Take a Java Course:

Consider enrolling in a Java programming course at a reputable institute or training centre. Look for courses that cover the latest Java technologies, programming techniques, and best practices. A structured course can provide you with a solid foundation in Java programming and help you stay updated with industry trends.

Stay Updated:

The field of computer science is constantly evolving, with new technologies and frameworks emerging regularly. Stay updated with the latest developments in Java by following tech blogs, attending webinars and conferences, and joining Java user groups. Keeping abreast of industry trends will ensure that your Java skills remain relevant and in-demand.

By incorporating these hacks into your learning routine, you'll be well on your way to mastering Java programming and excelling in your computer science studies. Whether you're taking a computer science skills course, exploring programming techniques, or seeking training at a reputable institute, these tips will help you become a proficient Java programmer. So, roll up your sleeves, dive into the world of Java programming, and unlock your full potential in computer science!

Suggested Blogs:

Java programming tutorial

C++ development process

principles of data structures

Python coding techniques

#computer science skills #Programming techniques #Java programming tutorial #C++ development process #computer science

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deepak-garhwal · 1 year

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#best python book for beginners #python programming book #best book for python programming #python programming book for beginners #book for python programming #best book for python programming pdf #latest Python books #free python books #Python Crash Course #Head First Python #Learn Python the Hard Way #Python Programming: An Introduction to Computer Science #Automate the Boring Stuff with Python #best python book for beginners in India

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eliteprepsat · 2 months

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Most universities are not particularly interested in students who approach college as the 13th grade—just the next step on a path laid out for them by their parents since before they were born. They instead seek out students who demonstrate passion and curiosity, especially about their chosen field of study.

In your college applications, it’s important that you demonstrate your interests (not just state what they are, but show them at work in your life) and that those interests inform your prospective major. You can and should demonstrate your interests in your college essays, your activities lists, and even in your transcripts.

Here are some specific tips on how to prove you’re invested in your intended major:

1. TAKE AP, IB, AND HONORS COURSES IN THAT FIELD

If your high school offers advanced courses in a field you’re passionate about, take those courses. Honors, AP, and IB credits demonstrate that you’ve devoted ample time and energy to a given field.

I would also recommend approaching advanced classes from the opposite direction. If you’re like most high school students, you’re not yet sure what you want to major in or what your academic interests are. Take advanced classes in subjects that you perform well in. You might find that these courses create entirely new interests for you that weren’t there before.

Throughout high school and college, you will likely develop new passions and a deeper understanding of what you love. Advanced courses are one of the ways in which you can discover what those passions might be.

2. JOIN A STUDENT ORGANIZATION … OR START YOUR OWN

Interested in computer science? Join a coding club at your school. Or, if none exists, create one. If you’re interested in something—whether it be coding, poetry, chess, or pottery—chances are there are other students at your school who are interested, too.

You can demonstrate passion for a field or cause by joining an organization on campus and working your way up the ranks to, say, secretary or even president. You can also demonstrate initiative and leadership by starting an organization of your own.

Not sure where to start? Ask a counselor or teacher at your school about how you might get something new off the ground. With the right support, you can develop your interests and set yourself up for a strong college application.

3. JOIN A CLUB AND VOLUNTEER

You can also look beyond the walls of your school for club and volunteer opportunities. Join a mystery book club or a Spanish conversation club at your local library branch. Volunteer as an elementary school assistant at your local school district. There are so many possibilities that you can find with just a quick Google search.

4. TAKE FREE ONLINE CLASSES

There are a ton of free online courses on subjects ranging from psychology to political philosophy, from computer science to principles of accounting.

You can find courses on the iTunes U app, many of which include syllabi and course readings alongside lectures. There’s a drove of Massive Open Online Courses available, many of which will even provide a certificate for completing the course. MIT hosts a wide range of free courses online, such as this Introduction to Computer Science and Programming in Python.

Many of these free online courses are offered by prestigious universities and taught by some of the most renowned faculty in their respective fields. By completing one of these courses, you can get a head start on university-level work and develop a new or existing passion.

5. CONTACT AN EXPERT

Do you live near a university? If so, reach out to faculty members to ask if they might be interested in your volunteering as a lab or research assistant, or even if you could stop by just to ask them some questions during their office hours. You might receive no response from a number of professors, but you would be surprised by how many would be more than happy to at least discuss what they do and why.

Along the same lines, if you’re passionate about business, reach out to local business owners. You might even find opportunities for employment. At the very least, you’ll gain vital insights into the kind of work you might want to do in college and beyond.

6. READ, WATCH, AND LISTEN ON YOUR OWN

Subscribe to The New Yorker, or The Economist, or Wired, or any number of magazines focused on literature and culture, or economics, or technology, or whatever it is you want to major in. Watch documentaries. Listen to podcasts. Finding media that will fuel your passion and leave you informed has never been easier.

The kind of knowledge you can gain from reading, watching, and listening first-hand cannot be matched by second-hand commentary. No visit to Sparknotes, or advice from your uncle, or other kind of second-hand knowledge can stand in for the real thing. Hearing or reading about the thing is no match for hearing or reading or doing the thing itself.

With a novel in your hand or even a computer science course on your screen, don’t just be a passive consumer—take notes not only on the content, but your reactions to it. What makes you excited? What leaves you confused? What gets you frustrated?

By staying engaged in a field of study, you shouldn’t only learn new information. You should also learn a lot about yourself.

#college prep #college admissions #appblr #college major #majors #studyblr

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priya-joshi · 3 months

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Getting Started with Full-Stack Web Development: Obstacles and Opportunities

Embarking on the journey to becoming a full-stack web developer offers a blend of exhilarating challenges and rewarding accomplishments. In this guide, we'll explore the intricacies of mastering full-stack development, delving into the obstacles you may face along the way and the triumphs that await those who persevere.

Introduction

Mastering full-stack web development is akin to embarking on a thrilling adventure—one that promises countless opportunities for growth, innovation, and professional fulfillment. However, the road to proficiency is not without its hurdles. In this blog, we'll navigate through the challenges aspiring full-stack developers may encounter, as well as the triumphs that come with overcoming them.

1. Diverse Skill Set

Full-stack web development demands proficiency in a diverse range of skills, spanning from frontend technologies like HTML, CSS, and JavaScript to backend languages such as Python, Ruby, or Node.js. Additionally, expertise in databases, server management, and deployment processes is crucial. Acquiring mastery in these areas requires dedication, time, and a continuous commitment to learning and adaptation.

2. Ever-Evolving Landscape

The realm of web development is in a perpetual state of evolution, with new frameworks, libraries, and tools emerging at a rapid pace. Keeping pace with these advancements and constantly updating your skill set is imperative to remain competitive in the industry. Allocate time to explore emerging technologies, enroll in online courses, and engage with the developer community to stay ahead of the curve.

3. Complexity of Projects

Full-stack developers often tackle intricate projects that necessitate the integration of various technologies and components. Managing the intricacies of these projects, troubleshooting issues, and ensuring seamless interaction between frontend and backend systems can be daunting. Nonetheless, overcoming these challenges cultivates invaluable problem-solving skills and deepens your comprehension of web development principles.

4. In-Depth Understanding

To excel as a full-stack developer, a profound understanding of programming concepts, algorithms, and data structures is indispensable. Mastery of these foundational principles empowers you to write concise, efficient code and tackle complex technical challenges with confidence. Dedicate time to delve into computer science fundamentals and engage in coding exercises to fortify your expertise.

5. Effective Problem Solving

Effective problem-solving is a hallmark of successful full-stack developers. Debugging code, identifying bottlenecks, and optimizing performance demand astute analytical skills and a systematic approach. Collaborating with peers, leveraging online resources, and seeking mentorship can facilitate the navigation of complex technical hurdles and yield effective solutions.

6. Strategic Time Management

Balancing multiple responsibilities, including frontend and backend development, database management, and project deployment, necessitates adept time management skills. Prioritize tasks, establish realistic timelines, and leverage productivity tools to streamline your workflow and maximize productivity. Reserve time for ongoing learning and professional development to continually enhance your skill set.

7. Cultivating Team Collaboration

Full-stack developers often collaborate with interdisciplinary teams, comprising designers, frontend developers, backend developers, and other stakeholders. Effective communication, teamwork, and collaboration are vital for project success. Foster strong interpersonal relationships, actively contribute in team settings, and cultivate a culture of open communication and collaboration within your team.

8. Prioritizing Security

Understanding security best practices and implementing robust security measures is paramount in web development. Full-stack developers must remain vigilant in identifying and mitigating security vulnerabilities to safeguard sensitive data and uphold the integrity of web applications. Stay informed about prevalent security threats, adhere to industry best practices, and consistently update your knowledge to proactively address emerging risks.

Conclusion

Embarking on the journey to becoming a full-stack web developer is a thrilling endeavor marked by challenges and triumphs. By embracing the obstacles, refining your skills, and maintaining a steadfast commitment to learning and growth, you can unlock a realm of opportunities and embark on a gratifying career in web development. Remember, each challenge surmounted brings you closer to mastery, and the journey itself is as enriching as the destination.

#full stack developer #education #information #full stack web development #web development #front end development #full stack developer course #technology #backend

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softssolutionservice · 5 months

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Python Development Course: Empowering the Future with Softs Solution Service

Python, a high-level programming language, has emerged as a favorite among developers worldwide due to its emphasis on readability and efficiency. Originating in the late 1980s, Python was conceived by Guido van Rossum as a successor to the ABC language. Its design philosophy, encapsulated by the phrase "Beautiful is better than ugly", reflects a commitment to aesthetic code and functionality.

What sets Python apart is its versatile nature. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. This flexibility allows developers to use Python for a wide range of applications, from web development and software engineering to scientific computing and artificial intelligence.

Python’s standard library is another of its strengths, offering a rich set of modules and tools that enable developers to perform various tasks without the need for additional installations. This extensive library, combined with Python’s straightforward syntax, makes it an excellent language for rapid application development.

One of Python's most significant contributions to the tech world is its role in data science and machine learning. Its easy-to-learn syntax and powerful libraries, like NumPy, Pandas, and Matplotlib, make it an ideal language for data analysis and visualization. Furthermore, frameworks like TensorFlow and PyTorch have solidified Python's position in the development of machine learning models.

Education in Python programming has become crucial due to its growing demand in the industry. Recognizing this, institutions like Softs Solution Service, IT training institute in Ahmedabad, have stepped up to provide comprehensive Python Development Training. Their Online Python Development Course is tailored to meet the needs of both beginners and seasoned programmers. This course offers an in-depth exploration of Python's capabilities, covering everything from basic syntax to advanced programming concepts.

The course structure usually begins with an introduction to Python's basic syntax and programming concepts. It then progressively moves into more complex topics, such as data structures, file operations, error and exception handling, and object-oriented programming principles. Participants also get to work on real-life projects, which is vital for understanding how Python can be applied in practical scenarios.

A significant advantage of online courses like the one offered by Softs Solution Service is their accessibility. Students can learn at their own pace, with access to a wealth of resources and support from experienced instructors. Additionally, these courses often provide community support, where learners can interact with peers, share knowledge, and collaborate on projects.

Python's future seems bright as it continues to evolve with new features and enhancements. Its growing popularity in various fields, including web development, data analytics, artificial intelligence, and scientific research, ensures that Python developers will remain in high demand.

In summary, Python is not just a programming language; it's a tool that opens a world of possibilities for developers, data scientists, and tech enthusiasts. With resources like the Online Python Development Course from Softs Solution Service, mastering Python has become more accessible than ever, promising exciting opportunities in the ever-evolving world of technology.

#IT Training and Internship #Softs Solution Service #IT Training Institute in Ahmedabad #Online Python Development Course #Python Development Training #Python Development Course

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vivekavicky12 · 5 months

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From Math to Machine Learning: A Comprehensive Blueprint for Aspiring Data Scientists

The realm of data science is vast and dynamic, offering a plethora of opportunities for those willing to dive into the world of numbers, algorithms, and insights. If you're new to data science and unsure where to start, fear not! This step-by-step guide will navigate you through the foundational concepts and essential skills to kickstart your journey in this exciting field. Choosing the Best Data Science Institute can further accelerate your journey into this thriving industry.

1. Establish a Strong Foundation in Mathematics and Statistics

Before delving into the specifics of data science, ensure you have a robust foundation in mathematics and statistics. Brush up on concepts like algebra, calculus, probability, and statistical inference. Online platforms such as Khan Academy and Coursera offer excellent resources for reinforcing these fundamental skills.

2. Learn Programming Languages

Data science is synonymous with coding. Choose a programming language – Python and R are popular choices – and become proficient in it. Platforms like Codecademy, DataCamp, and W3Schools provide interactive courses to help you get started on your coding journey.

3. Grasp the Basics of Data Manipulation and Analysis

Understanding how to work with data is at the core of data science. Familiarize yourself with libraries like Pandas in Python or data frames in R. Learn about data structures, and explore techniques for cleaning and preprocessing data. Utilize real-world datasets from platforms like Kaggle for hands-on practice.

4. Dive into Data Visualization

Data visualization is a powerful tool for conveying insights. Learn how to create compelling visualizations using tools like Matplotlib and Seaborn in Python, or ggplot2 in R. Effectively communicating data findings is a crucial aspect of a data scientist's role.

5. Explore Machine Learning Fundamentals

Begin your journey into machine learning by understanding the basics. Grasp concepts like supervised and unsupervised learning, classification, regression, and key algorithms such as linear regression and decision trees. Platforms like scikit-learn in Python offer practical, hands-on experience.

6. Delve into Big Data Technologies

As data scales, so does the need for technologies that can handle large datasets. Familiarize yourself with big data technologies, particularly Apache Hadoop and Apache Spark. Platforms like Cloudera and Databricks provide tutorials suitable for beginners.

7. Enroll in Online Courses and Specializations

Structured learning paths are invaluable for beginners. Enroll in online courses and specializations tailored for data science novices. Platforms like Coursera ("Data Science and Machine Learning Bootcamp with R/Python") and edX ("Introduction to Data Science") offer comprehensive learning opportunities.

8. Build Practical Projects

Apply your newfound knowledge by working on practical projects. Analyze datasets, implement machine learning models, and solve real-world problems. Platforms like Kaggle provide a collaborative space for participating in data science competitions and showcasing your skills to the community.

9. Join Data Science Communities

Engaging with the data science community is a key aspect of your learning journey. Participate in discussions on platforms like Stack Overflow, explore communities on Reddit (r/datascience), and connect with professionals on LinkedIn. Networking can provide valuable insights and support.

10. Continuous Learning and Specialization

Data science is a field that evolves rapidly. Embrace continuous learning and explore specialized areas based on your interests. Dive into natural language processing, computer vision, or reinforcement learning as you progress and discover your passion within the broader data science landscape.

Remember, your journey in data science is a continuous process of learning, application, and growth. Seek guidance from online forums, contribute to discussions, and build a portfolio that showcases your projects. Choosing the best Data Science Courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science. With dedication and a systematic approach, you'll find yourself progressing steadily in the fascinating world of data science. Good luck on your journey!

#data science certification #data science course #data science training #datascience #technology

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