Skill Unlock
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This is the Channel for your Geek Career and Important Links.

Promotions @shiva_cruz

๐—ช๐—ต๐—ฎ๐˜ ๐˜†๐—ผ๐˜‚ ๐—ด๐—ฒ๐˜ ๐—ผ๐—ป ๐˜๐—ต๐—ถ๐˜€ ๐—–๐—ต๐—ฎ๐—ป๐—ป๐—ฒ๐—น?
โœ…Free Courses
โœ…Study Materials
โœ…Free Projects
โœ…Free Resources
โœ…Free AI Tools

Our Website - https://skillunlock.net
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Frontend Developer Roadmap 2024:

Step 1: ๐ŸŒ Web Basics
Step 2: ๐Ÿ“„ HTML & CSS
Step 3: ๐Ÿ›  Build Projects
Step 4: ๐Ÿ“ข Post it on LinkedIn
Step 5: ๐Ÿค– JavaScript & React
Step 6: ๐Ÿ›  Build more Projects
Step 7: ๐Ÿ“š Build a Portfolio
Step 8: ๐Ÿ” Again Post it Online
Step 9: ๐Ÿ’ผ Start Applying

๐Ÿ”“ Crack a Job.

Web Development Best Resources: https://topmate.io/skill_unlock/1087352
๐Ÿ“Š Links for the next poll:

- Automate Everything with Python
https://www.udemy.com/course/automate-everything-with-python

- ChatGPT, Midjourney, DALL-E 3 & APIs - The Complete Guide
https://www.udemy.com/course/chatgpt-bard-bing-complete-guide-to-chatgpt-openai-apis

- The Complete SQL Bootcamp: Go from Zero to Hero
https://www.udemy.com/course/the-complete-sql-bootcamp

- NLP - Natural Language Processing with Python
https://www.udemy.com/course/nlp-natural-language-processing-with-python

- Artificial Intelligence & ChatGPT for Cyber Security 2024
https://www.udemy.com/course/artificial-intelligence-chatgpt-for-cyber-security-2024
๐…๐‘๐„๐„ ๐ƒ๐ž๐ฏ๐Ž๐ฉ๐ฌ & ๐‚๐ฅ๐จ๐ฎ๐ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ:

1. DevOps
http://openclassrooms.com/courses/7853556-discover-the-devops-methodology

2. CI/CD
http://simplilearn.com/free-ci-cd-online-training-course-skillup

3. Docker
http://cognitiveclass.ai/courses/docker-essentials

4. Kubernetes
http://simplilearn.com/learn-kubernetes-basics-free-course-skillup

5. GIT
http://simplilearn.com/learn-git-basics-skillup

6. GitHub
http://mygreatlearning.com/academy/learn-for-free/courses/github-tutorial-for-beginners

7. Linux
http://mygreatlearning.com/academy/learn-for-free/courses/linux-tutorial

8. Cloud Computing
http://cognitiveclass.ai/courses/introduction-to-cloud

9. AWS
http://openclassrooms.com/courses/7864796-discover-cloud-with-amazon-web-services

10. Azure
http://mygreatlearning.com/academy/learn-for-free/courses/microsoft-azure-essentials

11. AWS
http://openclassrooms.com/courses/7864796-discover-cloud-with-amazon-web-services

12. Azure
http://mygreatlearning.com/academy/learn-for-free/courses/microsoft-azure-essentials

13. Cloud Computing
http://cognitiveclass.ai/courses/introduction-to-cloud

14. Linux
http://mygreatlearning.com/academy/learn-for-free/courses/linux-tutorial

15. GCP
http://simplilearn.com/learn-google-cloud-platform-fundamentals-free-course-skillup

16. Serverless
http://mygreatlearning.com/academy/learn-for-free/courses/serverless-computing

17. Docker
https://cognitiveclass.ai/courses/docker-essentials

18. Kubernetes
http://simplilearn.com/learn-kubernetes-basics-free-course-skillup

19. CI/CD
http://simplilearn.com/free-ci-cd-online-training-course-skillup

20. Jenkins
http://mygreatlearning.com/academy/learn-for-free/courses/jenkins-tutorial

21. Puppet
http://simplilearn.com/free-course-to-learn-puppet-basics-skillup

22. Chef
http://simplilearn.com/chef-in-devops-basics-free-course-skillup

23. Ansible
http://simplilearn.com/learn-ansible-basics-free-course-skillup

24. Selenium
http://mygreatlearning.com/academy/learn-for-free/courses/selenium-basics

25. VirtualBox & vSphere
https://openclassrooms.com/en/courses/7163136-set-up-virtual-machines-using-virtualbox-and-vsphere
LISP Programming Free Courses

LISP (Structure and Interpretation of Computer Programs)
๐Ÿ”— https://ocw.mit.edu/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video_galleries/video-lectures/

Emacs Lisp - Free Online Course
๐Ÿ”— https://exercism.org/tracks/emacs-lisp

Common Lisp
๐Ÿ”— https://www.classcentral.com/classroom/youtube-common-lisp-126849

Learning Emacs Lisp
๐Ÿ”— https://www.classcentral.com/classroom/youtube-learning-emacs-lisp-126845

Lisp Tutorial
More than 1 hour worth of material

https://www.youtube.com/watch?v=ymSq4wHrqyU


Books
COMMON LISP:A Gentle Introduction to Symbolic Computation
COMMON LISP An Interactive Approach
Practical Common Lisp


โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–

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๐Ÿ‘จโ€๐Ÿ’ปLaptops for Every Need

Budget Laptops:
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Thin & Light:
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Multitasking & Coding:
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Creative Professionals (Like Editing):
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------------

[ ๐ŸŽฎGaming Laptops ]

Casual:
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Intermediate:
https://amzn.to/3WckcRl

High Performance:
https://amzn.to/4cPmyg5

AMD Processors:
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Iโ€™m thrilled to share an incredible opportunity with you all! Dive into a massive collection of free courses covering AI, ML, Data Science, and many other subjects. This 500 TB+ Google Drive link is packed with university-level content to help you master the latest skills and knowledge.

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Here's a short roadmap for learning CSS:

1. Basic CSS: Start with understanding selectors, properties, and values to style HTML elements.

2. Box Model: Learn how the box model works, including margin, padding, border, and content.

3. Layout: Dive into CSS layout techniques like display, positioning, and floats.

4. Flexbox: Master CSS Flexbox for creating flexible one-dimensional layouts.

5. Grid: Learn CSS Grid for creating two-dimensional layouts with precise control.

6. Responsive Design: Understand media queries and how to make your designs responsive to different screen sizes.

7. CSS Preprocessors: Explore tools like Sass or Less to enhance CSS development.

8. CSS Frameworks: Familiarize yourself with popular CSS frameworks like Bootstrap or Foundation.

9. Animations and Transitions: Learn to create CSS animations and transitions for interactive web elements.

10. CSS Variables: Understand CSS custom properties (variables) for more maintainable styles.

11. CSS-in-JS: Explore methods like Styled Components for integrating CSS with JavaScript.

12. CSS Methodologies: Consider using BEM, SMACSS, or other methodologies for scalable and maintainable CSS code.

13. Browser Developer Tools: Become proficient in using browser developer tools for debugging and experimenting with CSS.

14. Performance Optimization: Learn techniques for optimizing CSS for faster page loading.

15. Cross-Browser Compatibility: Ensure your CSS works well on various web browsers by testing and using polyfills when necessary.

16. Version Control: Understand how to manage CSS files using version control systems like Git.

17. Accessibility: Learn about creating accessible CSS and adhering to web accessibility guidelines.

18. CSS3 Features: Explore advanced CSS3 features like gradients, transitions, and transformations.

19. CSS Architecture: Study scalable and maintainable CSS architectures and design patterns.

20. Practice and Projects: Apply your knowledge by working on real projects and experimenting with different CSS techniques.

Remember that CSS is a continuously evolving technology, so staying up to date with the latest CSS features and best practices is crucial for becoming a proficient front-end developer.
๐ŸŒŸ ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ถ๐—ป๐—ด ๐Ÿฐ๐Ÿณ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ณ๐˜‚๐—น๐—น๐˜† ๐—–๐˜‚๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—–๐—ต๐—ฒ๐—ฎ๐˜๐˜€๐—ต๐—ฒ๐—ฒ๐˜๐˜€ ๐—ฌ๐—ผ๐˜‚'๐—น๐—น ๐—˜๐˜ƒ๐—ฒ๐—ฟ ๐—ก๐—ฒ๐—ฒ๐—ฑ! ๐Ÿ“š

1. Python : https://lnkd.in/grD8XUS6
2. Pandas : https://lnkd.in/g4yTJ7CP
3. NumPy : https://lnkd.in/gg9Uw-km
4. Matplotlib https://lnkd.in/gahrGicD
5. Seaborn https://lnkd.in/gcu4UKpw
6. Scikit-learn https://lnkd.in/gGfkNu5i
7. TensorFlow : https://lnkd.in/g3fw3uRV
8. Keras : https://lnkd.in/gfPTfbgg
9. PyTorch https://bit.ly/3lnsiIz
10. SQL : https://lnkd.in/gnwe4qcb
11. R : https://lnkd.in/gEgJ6A8j
12. Git : https://lnkd.in/gyzhztvH
13. AWS https://bit.ly/3ZQWMS1
14. Azure https://bit.ly/42f4N4V
15. Google Cloud Platform : https://bit.ly/3JJADzv
16. Docker : https://bit.ly/3Lt2zJe
17. Kubernetes https://lnkd.in/gjXCT7Mb
18. Linux Command Line : https://bit.ly/3FtcTgw
19. Jupyter Notebook https://lnkd.in/g7cPmgHQ
20. Data Wrangling :https://bit.ly/3TiMibP
21. Data Visualization : https://lnkd.in/gQ52Jd_J
22. Statistical Inference https://lnkd.in/grNXVQh5
23. Probability : https://lnkd.in/gvnWCphc
24. Linear Algebra : https://lnkd.in/gty6XpVF
25. Calculus https://lnkd.in/gjhsmsxu
26. Time Series : https://bit.ly/3Fvuep4
27. NLP: https://bit.ly/3Fvursm
28. Neural Network : https://lnkd.in/gThs2AAp
29. Deep Learning : https://lnkd.in/gVbSPae2
30. Machine Learning : https://bit.ly/3mZ5Wh3
31. Apache Spark : https://lnkd.in/ge7Rj-Yr
32. Hadoop : https://bit.ly/3Lq34DR
33. Big-O Notation t: https://lnkd.in/gfYqM8WU
34. Regular Expression : https://lnkd.in/gE9kZTZW
35. Unix/Linux Permissions https://bit.ly/3ZUfwA8
36. Python String Formatting https://lnkd.in/gHi26Uk2
37. Flask : https://lnkd.in/gGzbSTgU
38. Django : https://lnkd.in/grZcWz8y
39. SQL : https://lnkd.in/gyierV3f
40. PostgreSQL : https://lnkd.in/gzfiW7zB
41. MySQL: https://lnkd.in/g4JnPVTe
42. MongoDB : https://lnkd.in/gHc4F4ER
43. TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
44. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
45. GPT-3 API Reference: https://lnkd.in/gtCGZvX8
46. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
47. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q
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How often do you practice coding each day?
Anonymous Poll
68%
Less than 1 hour
21%
1-3 hours
5%
4-6 hours
6%
More than 6 hours
The only 8 AI tools you need to 10x your productivity in seconds:

1. YouTube Summaries eightify.app

2. Photo Editor picwish.ai

3. Website Builder mixo.io

4. Voice Notes vribble.ai

5. Text Notes albus.org

6. Text-to-Video pika.art

7. Viral Clips opus.pro

8. Music Production wavtool.com
Infosys Springboard Introduces FREE Information Security Certification Courses

Infosys Springboard is an educational initiative by Infosys, one of the global leaders in consulting, technology, and next-generation services.

Link - https://skillunlock.net/infosys-springboard-introduces-free-information-security-certification-courses/
Google is hiring SWE II

For 2021, 2022 Grads
Location: Hyderabad, Pune, Banglore

https://www.google.com/about/careers/applications/jobs/results/83278786017010374-software-engineer-ii/

โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”

Zoho is hiring Web Developer

For 2023, 2024 Grads

https://www.zoho.com/careers/jobdetails/?job_id=2803000614913786

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๐Ÿ” AI-powered Search Engines!

Discover these powerful AI search engines:

1๏ธโƒฃ Perplexity AI: perplexity.ai
2๏ธโƒฃ Exa: exa.ai
3๏ธโƒฃ Phind: phind.com
4๏ธโƒฃ Komo AI: komo.ai
5๏ธโƒฃ Gigabrain: thegigabrain.com
6๏ธโƒฃ Googpt: gptgo.ai
7๏ธโƒฃ Arc search: arc.net
8๏ธโƒฃ iAskai: iask.ai
9๏ธโƒฃ Brave: brave.com/leo/

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๐Ÿฐ๐Ÿณ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ณ๐˜‚๐—น๐—น๐˜† ๐—–๐˜‚๐—ฟ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—–๐—ต๐—ฒ๐—ฎ๐˜๐˜€๐—ต๐—ฒ๐—ฒ๐˜๐˜€ ๐—ฌ๐—ผ๐˜‚'๐—น๐—น ๐—˜๐˜ƒ๐—ฒ๐—ฟ ๐—ก๐—ฒ๐—ฒ๐—ฑ! ๐Ÿ“š

1. Python : https://lnkd.in/grD8XUS6
2. Pandas : https://lnkd.in/g4yTJ7CP
3. NumPy : https://lnkd.in/gg9Uw-km
4. Matplotlib https://lnkd.in/gahrGicD
5. Seaborn https://lnkd.in/gcu4UKpw
6. Scikit-learn https://lnkd.in/gGfkNu5i
7. TensorFlow : https://lnkd.in/g3fw3uRV
8. Keras : https://lnkd.in/gfPTfbgg
9. PyTorch https://bit.ly/3lnsiIz
10. SQL : https://lnkd.in/gnwe4qcb
11. R : https://lnkd.in/gEgJ6A8j
12. Git : https://lnkd.in/gyzhztvH
13. AWS https://bit.ly/3ZQWMS1
14. Azure https://bit.ly/42f4N4V
15. Google Cloud Platform : https://bit.ly/3JJADzv
16. Docker : https://bit.ly/3Lt2zJe
17. Kubernetes https://lnkd.in/gjXCT7Mb
18. Linux Command Line : https://bit.ly/3FtcTgw
19. Jupyter Notebook https://lnkd.in/g7cPmgHQ
20. Data Wrangling :https://bit.ly/3TiMibP
21. Data Visualization : https://lnkd.in/gQ52Jd_J
22. Statistical Inference https://lnkd.in/grNXVQh5
23. Probability : https://lnkd.in/gvnWCphc
24. Linear Algebra : https://lnkd.in/gty6XpVF
25. Calculus https://lnkd.in/gjhsmsxu
26. Time Series : https://bit.ly/3Fvuep4
27. NLP: https://bit.ly/3Fvursm
28. Neural Network : https://lnkd.in/gThs2AAp
29. Deep Learning : https://lnkd.in/gVbSPae2
30. Machine Learning : https://bit.ly/3mZ5Wh3
31. Apache Spark : https://lnkd.in/ge7Rj-Yr
32. Hadoop : https://bit.ly/3Lq34DR
33. Big-O Notation t: https://lnkd.in/gfYqM8WU
34. Regular Expression : https://lnkd.in/gE9kZTZW
35. Unix/Linux Permissions https://bit.ly/3ZUfwA8
36. Python String Formatting https://lnkd.in/gHi26Uk2
37. Flask : https://lnkd.in/gGzbSTgU
38. Django : https://lnkd.in/grZcWz8y
39. SQL : https://lnkd.in/gyierV3f
40. PostgreSQL : https://lnkd.in/gzfiW7zB
41. MySQL: https://lnkd.in/g4JnPVTe
42. MongoDB : https://lnkd.in/gHc4F4ER
43. TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
44. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
45. GPT-3 API Reference: https://lnkd.in/gtCGZvX8
46. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
47. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q

Join @skillsunlock for more
TECH MAHINDRA Interview Exp

1) Self Intro.
2) Project.
3) Qns on Project.
4) Which Programming Language
you r Familiar with It.
5) What is Primarykey, Foreignkey.
6) Views in SQL.
7) Syntax of View.
8) Rank.
9) External Table.
10) Method Overloading.
11) Method Overriding.
12) Inheritance.
13) Explain Types of Inheritance
14) Why Multiple Inheritance is not
Supported.
15) Is Multiple Inheritance.
Supported injava and wha is it.
16) Relocation.
17) Night Shifts.
18) Why you Choose TechM.
19) About TechM.

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Free Python Courses, Books and Cheat Sheets (part 1)

The fundamentals of programming - Python Tutorial
๐Ÿ”— Course link

Python for Absolute Beginners!
๐Ÿ”— Course link

Introduction to Python 3 (basics) - Learning to Program with Python 3
๐Ÿ”— Link to course

Introduction To Python Programming
๐Ÿ”— Course link

Intermediate Python Programming introduction
๐Ÿ”— Link to course

Learn Core Python, Numpy and Pandas
๐Ÿ”— Course link

Sockets Tutorial with Python 3 part 1 - sending and receiving data
๐Ÿ”— Link to course

Advanced Python: Real-World Programming Deep Dive (2024)
๐Ÿ”— Course link

Machine Learning with Python: Zero to GBMs
๐Ÿ”— Course Link

Data Visualization in Python for Beginners
๐Ÿ”— Course link

Introduction to Computer Science and Programming in Python
๐ŸŽฌ Lecture videos
๐Ÿ”— Course link

Python Mastery: From "Novice to Ninja"
๐Ÿ”— Course link

Python for Everybody (PY4E)
๐Ÿ”— Course link

Python course by kaggle
๐Ÿ”— Course link

Scientific Computing with Python
๐Ÿ”— Link to course

Python from scratch
๐Ÿ”— Course Link

Learn Python PyQt
๐Ÿ”— Course link

Python for Beginners
๐Ÿ”— Link to course

Python Programming MOOC
๐Ÿ”— Link to course

Free Python course by Datacamp
๐Ÿ”— Link to course

CS50โ€™s Web Programming with Python by Harvard University
๐Ÿ”—Course Link

Python course by Google
๐Ÿ”— Course link

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Top 9 Http Methods

GET ๐Ÿง - Retrieve data from a resource.
HEAD ๐ŸŽง - Retrieve the headers of a resource.
POST ๐Ÿ“ฎ - Submit data to a resource.
PUT ๐Ÿ“ฅ - Update an existing resource or create a new resource.
DELETE ๐Ÿ—‘ - Remove a resource.
CONNECT ๐Ÿ”— - Establish a network connection for a resource.
OPTIONS โš™๏ธ - Describe communication options for the target resource.
TRACE ๐Ÿ•ต๏ธโ€โ™‚๏ธ - Retrieve a diagnostic trace of the request.
PATCH ๐Ÿฉน - Apply a partial update to a resource

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