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14 Must-Read Blogs for Java Developers :
https://phrase.com/blog/posts/14-must-read-blogs-for-java-developer/
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Java programs :
https://www.javatpoint.com/java-programs#java-pattern-programs
Give it a try before u look for a code.
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About the Java Technology (The Java™ Tutorials > Getting Started > The Java Technology Phenomenon)
https://docs.oracle.com/javase/tutorial/getStarted/intro/definition.html
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Cheat Sheets for Data Science Interviews
Knowing the coding languages is the basis upon which all other parts of data science are built. Especially popular in the data science community is the holy trinity of coding languages:
-SQL
-Python
-R
1. SQL
The language specifically designed for querying databases, SQL is a champion when it comes to data extraction and manipulation.
Cheat sheet: SQL Basics Cheat Sheet
Link: https://learnsql.com/blog/sql-basics-cheat-sheet/
Cheat sheet: The Essential SQL Commands Cheat Sheet for Beginners
Link: https://itechbrand.com/the-essential-sql-commands-cheat-sheet-for-beginners/
This one simply lists the commands in SQL everybody needs.
Cheat sheet: SQL Cheat Sheet – Technical Concepts for the Job Interview
Link: https://www.stratascratch.com/blog/sql-cheat-sheet-technical-concepts-for-the-job-interview/
Python
Python is, for a reason, one of the most commonly used programming languages in data science.
Cheat sheet: Python Cheat Sheet
Link: https://websitesetup.org/python-cheat-sheet/
What you get: This very comprehensive yet very clear cheat sheet is perfect for anybody wanting to have a basis for starting working in Python.
Cheat sheet: Comprehensive Python Cheatsheet
Link: https://github.com/gto76/python-cheatsheet
R lang
The R programming language is a little less flexible than Python, so it’s not suitable for model deployment. It is created for statistical analysis and data visualization.
Cheat sheet: RStudio Cheatsheets
Link: https://www.rstudio.com/resources/cheatsheets/
Data Structures
Data scientists have to be familiar with data structures as a way of organizing and storing data. The chance is you won’t be using all the possible data structures all the time.
Cheat sheet: Data Structures Reference
Link: https://www.interviewcake.com/data-structures-reference
Cheat sheet: An Executable Data Structures Cheat Sheet for Interviews
Link: https://algodaily.com/lessons/an-executable-data-structures-cheat-sheet
#datascience #dsa #python #sql
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Repost from 👨💻Coder Blast🌋
⭐️6 Tips to Study Coding Effectively⭐️
by UFV Academic Success Centre
1. Don’t just read the code example—Type it out and then create a similar one
🔹 A code sample is the representation of the idea or program.
🔹 Type it in your own words to understand how the five components are working together.
🔹 Create a similar sample to understand the abstract of the program.
🔹 Try some code challenges from some well-known websites, such as leetcode, codewars, and
topcoders.
2. Practice and keep track of what you have learned
🔹 Practice makes perfect.
🔹 As a programmer, you often can have some repetitive tasks. Keeping track of what you learn will
help you quickly refer back to the tasks you have done.
🔹 Document what you have learned. Documentation is a good resource to help you look up the
algorithm/solution and repetitive tasks easily and increase your productivity rapidly.
3. Try to create, then build your own program
🔹 Apply what you have learned to a real-life example.
🔹 Building your own program brings you to the next level of program abstract and will help you feel
satisfied and accomplished with what you have learned.
🔹 When you come up with a solution, try a different approach. There is more than one right way to
do something, and searching for different solutions will help you develop your problem solving
skills.
4. Learn how to research and solve problems
🔹 Search for topics by specific keywords.
🔹 Learn how to research your problem when you get stuck. Some websites may help, such as
stackoverflow, stackexchange, github, and forums.
🔹 If you find a solution online, make sure you understand every line of code. You will learn more this
way rather than just copying and pasting it into your project.
5. Take a break while debugging
🔹 Consider taking break to clear your mind when you encounter difficult bug.
🔹 Stepping away for a few hours will allow you to return with a fresh perspective.
6. Things to avoid
🔹 Perfection: As a beginner, improving your coding skills and problem solving are more important
than making your code perfect. Seeking perfection will cause you to procrastinate instead of
progress. Remember that mistakes are opportunities to learn.
🔹 Comparison: Never compare your code style/knowledge with anyone else. You will end up being
disappointed and demotivated. Practice and trust yourself.
🔹 Complexity: Learn how to break a problem into smaller problems, so you can conquer it more
easily.
A good programmer is able to make a program simpler and less complex. Make it work first, then
make it right, finally make it fast. “Simplicity is the ultimate sophistication,” said Leonardo Da Vinci.
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➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @coderblast for more ✅
Share with your friends too 🚀
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Repost from N/a
Problem_Solving_in_Data_Structures_&_Algorithms_Using_C_PDFDrive.pdf6.15 MB
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Repost from N/a
Anghel_Leonard_The_Complete_Coding_Interview_Guide_in_Java_2020.epub13.14 MB
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Google interview process + interview questions
Landing one of the most enviable jobs in tech is 26 times harder than getting into Harvard University: Google’s acceptance rate is 0.2%, while Harvard’s is 5.2%.
The search engine giant on-boarded 20,000 new hires in 2019 -- shortlisted from over two million applications. Google was poised for similar growth this year, but has cut back on hiring and other nonessential expenditures as it faces an advertising slump from the pandemic.
🔗Article Link
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♦️ Amazing Online Platform for coders ♦️
♦️ GeeksforGeeks - First love if you want to crack product based companies Interview.
♦️CodeChef - Competitive programming site
♦️ CodeSignal -Fun gaming approach to Coding contests and Interview practices.
♦️CodeForces - It helps in preparing for programming contests
♦️HackerEarth - Programming fundamentals
♦️HackerRank - Interview preparation kit
♦️InterviewBit - Amazing platform to get prepared for Data Structures based interviews.
♦️AlgoDaily - Daily interview questions sent by mail, as well as a full course and online IDE as well as visualizations and tutorials to solve the problems.
♦️LeetCode - Amazing Platform to prepare for technical interviews with real interview questions.
♦️PrepBytes - Get problems as per your coding skills.
♦️Codewars - It is beautiful UI for competitive programming and interview prep.
♦️CodinGame - Competitive programming with game like challenges.
♦️Codility - Develop your coding skills with lessons to take part in challenges.
#coding #competitiveprogramming #datastructures
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Repost from N/a
How to check an image for deepfake
Many users use AI-generated faces in their avatars. To detect a fake profile image, the Fake Profile Detector extension appeared.
With the help of a neural network, it determines whether the person in the photo is artificially generated or real.
All you need to do:
✔️Install the extension in Google Chrome and give permission to send notifications.
✔️Open the picture or avatar you want to scan in your browser.
✔️Right-click on it and select Check Fake Profile Picture. You'll quickly get a notification with the results - what's the percentage probability that the face is generated.
Use it!
#service
