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All programming language tutorials,courses and more..! For HTML: @html_web_learn For CSS: @CSS_web_learn For JS: @JavaScript_js_learn For PHP: @learn_php_web For Programming courses @Programmingworld_dev For CEH,Cybersec: @technical_stark
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مشترکین
اطلاعاتی وجود ندارد24 ساعت
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آرشیو پست ها
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Replace http://github.com with http://github.dev or just press "."(dot) on any GitHub repo to get access to the online VSCode Editor
#Github #VSCODE
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Participate in Google's Coding Competitions like code Jam and hash code and win the prize. also you can practice with the previous competitions archives.
#competition #contest #challenge #google #combat #codejam #hashcode
codingcompetitions.withgoogle.com
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Grokking the Object Oriented Design Interview with python code examples.
#OOP #object #class #diagram #UML #interview #example #practice #python
https://github.com/tssovi/grokking-the-object-oriented-design-interview
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LeetCode for front-end developers. Practice Front-End coding problems, Prepare for job interviews.
#interview #frontend #job #career #design #javascript #typescript #question #answer
https://bigfrontend.dev
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A searchable collection of the most frequently asked Git questions :)
#git #search #collection #question #questions
firstaidgit.io
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Open Source resource for learning Data Structures & Algorithms and their implementation in any Programming Language.
#algorithm #practice #interview #sorts #algos #search #education
the-algorithms.com
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For free Microsoft Certification:
Attend this event and at the end you will a voucher from Microsoft so you can enroll for their courses for free!
Register on this link: https://mktoevents.com/Microsoft+Event/284486/157-GQE-382
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HRs Don't Even See Your Resume Because
The resumes you upload on various sites to get jobs or internships can't be seen by HRs BECAUSE YOUR RESUMES ARE NOT ATS FRIENDLY.
What is ATS?
An Applicant Tracking System (ATS) is software that HRs use to manage the entire recruitment process. It collects, scans, and ranks all of the applications automatically.
FACT: 75% of large companies use an ATS because they receive thousands of applications every day.
How ATS works?
If your resume summary writes:
"Highly-driven tax manager with 5+ years of financial experience in managing tax returns and affairs. Proven experience of success, employer satisfaction, and strong communication skills."
ATS reads:
• "Tax manager"
• "5+ years of experience"
• "Tax returns and affairs"
• "Employer satisfaction"
• "Strong communication skills"
How to make RESUME compatible to ATS?
>>> Pick the right resume format.
The easiest format for an ATS to read
is reverse-chronological.
>>> Choose appropriate file type
A PDF file is universal and can be read by (most) ATS.
>>> Use a simple layout*
Choose a common, simple font.
>>> Label your sections right
Make sure to list your experience and certifications under respective sections.
>>> Tailor resume with keywords
The system scans for these words to find the best candidate.
>>> A final word of caution: Avoid images and graphs.
Here are some..
🔥ATS Resume Templates
https://novoresume.com/career-blog/resume-examples
https://www.jobscan.co/resume-templates
https://zety.com/blog/ats-resume
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Want to become AWS Certified, but you don't know where to start?
Getting started
If you're new to Cloud technology go for the easiest certification:
- AWS Certified Cloud Practitioner
If you already have some experience with AWS, then go with:
- AWS Certified Developer associate.
Must-read resources
AWS Well-Architected Framework:
https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html
AWS Documentation
https://docs.aws.amazon.com/
AWS Free digital training:
https://www.aws.training/
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Now is a great time to get certified 🚀
AWS is giving a free voucher for the following AWS practice exam:
- AWS Certified Developer - Associate
Sign up on this official website to request the practice exam:
https://bit.ly/2V4I51f
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10 Machine Learning Projects for Beginners with Source code and datasets
1. Stock Price Prediction
The project is about predicting future stock returns based on the past returns and numerical news indicators by examining different forecasting techniques to construct a portfolio of multiple stocks to diversify the risk.
https://github.com/scorpionhiccup/StockPricePrediction
2. Wine Quality Testing
The wine quality test project compares wines based on their physicochemical tests like alcohol content, fixed acidity, density, pH, and more.
https://github.com/sidgolangade/Wine-Quality-Test-Project
3. Sentiment Analysis
A sentiment analyzer learns about various sentiments post of the user on social media. Data generated by Platforms like Facebook, Reddit, YouTube, Twitter is mined to understand trends, public sentiments and opinions.
https://github.com/bentrevett/pytorch-sentiment-analysis
4. Handwritten Character Recognition
The handwritten character recognition project requires modeling of neural networks to detect and recognize handwritten characters like alphabets and number.
https://github.com/vimal1083/handwritten-character-recognition
5. Iris Flower Classification
The goal of this project is to classify the flowers into 3 species: virginia, setosa, versicolor. The project uses Iris flower dataset for classification tasks.
https://github.com/Pranav-Rastogi/Iris-flower-classification
6. Writing Machine Learning Algorithms from Scratch
This project would allow you to learn to transform mathematical instructions into functional code.
https://github.com/NilaiVemula/ml-from-scratch
7. Barbie with Brains
Through NLP and some concepts of voice assistants Barbie can be trained to interact with children in logical conversation.
https://github.com/MaverickSamar/OSI-Barbie-With-Brains
8. Movie Recommendation with MovieLens Dataset
This project uses MovieLens dataset and can be coded in Python or R. It proves to be an excellent project for the beginners to add to the portfolio.
https://github.com/khanhnamle1994/movielens
9. Healthcare Application
Introducing Machine Learning in healthcare could automate things thus taking alternative workload of the medical staff.
https://github.com/siddhanthp27/DiagnosticCodePrediction
10. Uber Data Analysis
The project aims to improve the effectiveness of customer support with deep learning techniques. Uber has a dataset of millions of pick up to analyze the customer rides and further improve customer experience.
https://github.com/geoninja/Uber-Data-Analysis
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Here are some good questions to ask at the end of the interview, extracted from various sources.
#interview #questions #question #answer #answers #book #handbook #list #awesome
https://github.com/yangshun/tech-interview-handbook/blob/master/contents/questions-to-ask.md
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RoadMap To Learn MachineLearning in 3 Months With FREE Resources
Month 1 (Mathematics)
Week 1: Linear Algebra
☑️https://bit.ly/2SYqDLa
☑️https://bit.ly/3gOkPx5
Week 2: Calculus
☑️https://bit.ly/3j6HmH1
Week 3: Probability
☑️https://bit.ly/3hg7DAf
Week 4 Algorithms
☑️https://bit.ly/3h07kJA
Month 2 (ML)
Week 1: Learn
☑️ Python for data science - https://bit.ly/3xOTd0w
☑️Math of Intelligence - https://bit.ly/35KZJsX
☑️Intro to Tensorflow - https://bit.ly/3zToKjB
Week 2: Intro to ML
☑️https://bit.ly/3d7tOav
Week 3-4: ML Project Ideas
☑️https://bit.ly/3gZdkSW
Month 3 (Deep Learning)
Week 1: Intro to Deep Learning
☑️https://bit.ly/3d5gpzp
Week 2: Deep Learning by Fast .AI
☑️http://course.fast.ai
Week 3-4: Re-implement DL projects from this repository
☑️https://bit.ly/3vMrvA0
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Improve your resume and Linked-In profile with this online platform.
#resume #career #job #tools #linkedin
https://resumeworded.com
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Sketch2Code is a solution that uses AI to transform a handwritten user interface design from a picture to valid HTML markup code.
This is an open-source project by Microsoft and can be found at
https://github.com/Microsoft/ailab/tree/master/Sketch2Code
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Top 9 Popular GitHub Repositories for Beginners to learn Data Science
1. Awesome Data Science
This repo is hands down the best collection of resources on Data Science. It covers almost all aspects of learning Data Science, starting with the aspect of motivation which explains the why for Data Science.
https://github.com/academic/awesome-datascience
2. data-scientist-roadmap
This repo is inspired from a roadmap of data science skills by Swami Chandrasekaran. It contains the whole package of what it takes to become a data scientist, from the fundamentals, statistics to machine learning.
https://github.com/MrMimic/data-scientist-roadmap
3. Data Science Best Resources
As mentioned in the readme .md, this repo is a trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place.
https://github.com/tirthajyoti/Data-science-best-resources
4. Ds-cheatsheets
This is repo with a great collection of cheat sheets for Data Science. It’s a smaller list compared to the previous repo but it doesn’t hurt to have more cheat sheets available in your Data Science resources bank.
https://github.com/FavioVazquez/ds-cheatsheets
5. DataScienceResources
This repo started off as a resource trove for the creator, but it ended up becoming a curated list of data science topics and high-quality resources after realizing how popular Data Science has become.
https://github.com/jonathan-bower/DataScienceResources
6. Data Science Blogs
This repo contains a massive list of data science blogs for you to learn about everything Data Science. The list is ordered alphabetically for easy navigation and the link is right beside the title of the blog.
https://github.com/rushter/data-science-blogs
7. free-data-science-books
This repo contains free resources for learning data science and big data. It starts off with an introduction to what Data Science is, then about Data processing and Data Analysis, Statistics, Machine Learning and applications.
https://github.com/LearnDataSci/free-data-science-learning
8. free-data-science-learning
This repo contains a list of free data science books. Books are amazing to learn about Data Science because you are learning about they why before doing the how, which is important for a complex topic such as Data Science.
https://github.com/LearnDataSci/free-data-science-learning
9. Data-Science-Wiki
This repo is a list of DevOps guides, scripts and tutorials. There is a category for Data Science from beginners to the advanced levels, Python programming, Linux tutorials, git, code editors, and machine learning.
https://github.com/Leo-G/Data-Science-Wiki
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TIPS TO INCREASE PRODUCTIVITY AS A PROGRAMMER
Before you follow any productivity increasing tips you have to understand that productivity is not the amount of the number of hours you spent in front of a computer. Sometimes we make ourselves busy without doing anything actually productive.
Being productive is when you do quality work to finish your important tasks or get closer to your goal.
TIP 1- Find The Right Code Editor
Code editor plays an important role in productivity of a programmer, so choosing the right/best one can help you a lot more than you can think!
Now there are lot of editors on the internet how you can find the best one? it totally depends on your goals and needs, try out the different editors and check which suits your workflow.
You can also customize your code editor such as setting up auto code completion, code suggestion, formatting code etc to get more productive.
TIP 2 - Schedule & Prioritize Your Work
Scheduling your task before the day starts can also increase your productivity because you will be clear with your work for the day, you can create a task list using any todo-apps and check off the tasks after completion.
Now the best way to manage time for tasks is to prioritize your work or tasks.
Write your tasks in descending order of priority, such that the most important task should come first in the list then less important then that and so on.
This tip will really help you a lot!
TIP 3 - Avoid Distractions
Small distractions can take up a lot your time without you
even realizing, You have to find a way to avoid them or atleast minimize them.
Social media nowadays are the most common distractions, so make sure you check them only when you are on a break never open them while working otherwise you will waste your precious time for no reason.
Use some focus apps such as forest for mobiles and freedom for desktops.
TIP 4-TRACK YOUR WORKING HOURS
Not much programmers likes to track their working hours, but using a time tracking app can help you solve problems
related to time management,
Time tracking can increase your productivity because you can actually track how much time you spent working and you will be able to find out how much time you were distracted.
Or you can set a target that how much hours you will work, and this actually helps!
TIP 5-TAKE REGULAR BREAKS
Writing code for multiple hours in a row can really become intense and you will reach a point where you will find yourself just staring at the screen and losing focus multiple times from the problem,
You should must give yourself rest for a few minutes as it will surely revive your focus, you can watch any short video or do a short walk or exercise.
Now when you will go back to the same problem you will have a fresh perspective to it.
I will recommend you to use the POMODORO TECHNIQUE, Learn about it on the internet it will take 1 minute to understand about it and it can really be a game change for you.
TIP 6-GET PROPER SLEEP
Keeping apart all the things, getting a proper sleep can also help you to become productive, You should know that a improper sleep can really hamper your productivity as well as your health to a great extent.
The major reason i had included this tip in this list is: A sufficient sleep leads to better decision making, that is an extremely critical skill for programmers, since a lot of the code we write is based on making decisions and using logic.
