Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Resume Templates Giveaway π https://www.linkedin.com/posts/sql-analysts_many-people-find-it-difficult-to-get-perfect-activity-7147451992586571776-ib29?utm_source=share&utm_medium=member_android
Hey π
Here you can access all Resume Templates β€οΈβπ₯π
https://dataanalysts.gumroad.com/l/resume/DataSimplifier?a=363448787
βΎHow to get it:
1. Click on the link
2. Enter the amount you like [Can be 0 as well :) ]
3. Click the 'I Want This' Button
4. Enter your email and get it delivered!
I'd appreciate it if you could give it a 5 star when you download it.
Join for more: https://t.iss.one/getjobss
Thanks π
Here you can access all Resume Templates β€οΈβπ₯π
https://dataanalysts.gumroad.com/l/resume/DataSimplifier?a=363448787
βΎHow to get it:
1. Click on the link
2. Enter the amount you like [Can be 0 as well :) ]
3. Click the 'I Want This' Button
4. Enter your email and get it delivered!
I'd appreciate it if you could give it a 5 star when you download it.
Join for more: https://t.iss.one/getjobss
Thanks π
β€14π6
Don't overwhelm to learn Git,π
Git is only this muchππ
1.Core:
β’ git init
β’ git clone
β’ git add
β’ git commit
β’ git status
β’ git diff
β’ git checkout
β’ git reset
β’ git log
β’ git show
β’ git tag
β’ git push
β’ git pull
2.Branching:
β’ git branch
β’ git checkout -b
β’ git merge
β’ git rebase
β’ git branch --set-upstream-to
β’ git branch --unset-upstream
β’ git cherry-pick
3.Merging:
β’ git merge
β’ git rebase
4.Stashing:
β’ git stash
β’ git stash pop
β’ git stash list
β’ git stash apply
β’ git stash drop
5.Remotes:
β’ git remote
β’ git remote add
β’ git remote remove
β’ git fetch
β’ git pull
β’ git push
β’ git clone --mirror
6.Configuration:
β’ git config
β’ git global config
β’ git reset config
7. Plumbing:
β’ git cat-file
β’ git checkout-index
β’ git commit-tree
β’ git diff-tree
β’ git for-each-ref
β’ git hash-object
β’ git ls-files
β’ git ls-remote
β’ git merge-tree
β’ git read-tree
β’ git rev-parse
β’ git show-branch
β’ git show-ref
β’ git symbolic-ref
β’ git tag --list
β’ git update-ref
8.Porcelain:
β’ git blame
β’ git bisect
β’ git checkout
β’ git commit
β’ git diff
β’ git fetch
β’ git grep
β’ git log
β’ git merge
β’ git push
β’ git rebase
β’ git reset
β’ git show
β’ git tag
9.Alias:
β’ git config --global alias.<alias> <command>
10.Hook:
β’ git config --local core.hooksPath <path>
β Best Telegram channels to get free coding & data science resources
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Git is only this muchππ
1.Core:
β’ git init
β’ git clone
β’ git add
β’ git commit
β’ git status
β’ git diff
β’ git checkout
β’ git reset
β’ git log
β’ git show
β’ git tag
β’ git push
β’ git pull
2.Branching:
β’ git branch
β’ git checkout -b
β’ git merge
β’ git rebase
β’ git branch --set-upstream-to
β’ git branch --unset-upstream
β’ git cherry-pick
3.Merging:
β’ git merge
β’ git rebase
4.Stashing:
β’ git stash
β’ git stash pop
β’ git stash list
β’ git stash apply
β’ git stash drop
5.Remotes:
β’ git remote
β’ git remote add
β’ git remote remove
β’ git fetch
β’ git pull
β’ git push
β’ git clone --mirror
6.Configuration:
β’ git config
β’ git global config
β’ git reset config
7. Plumbing:
β’ git cat-file
β’ git checkout-index
β’ git commit-tree
β’ git diff-tree
β’ git for-each-ref
β’ git hash-object
β’ git ls-files
β’ git ls-remote
β’ git merge-tree
β’ git read-tree
β’ git rev-parse
β’ git show-branch
β’ git show-ref
β’ git symbolic-ref
β’ git tag --list
β’ git update-ref
8.Porcelain:
β’ git blame
β’ git bisect
β’ git checkout
β’ git commit
β’ git diff
β’ git fetch
β’ git grep
β’ git log
β’ git merge
β’ git push
β’ git rebase
β’ git reset
β’ git show
β’ git tag
9.Alias:
β’ git config --global alias.<alias> <command>
10.Hook:
β’ git config --local core.hooksPath <path>
β Best Telegram channels to get free coding & data science resources
https://t.iss.one/addlist/4q2PYC0pH_VjZDk5
β Free Courses with Certificate:
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π7β€2
Here are the 50 JavaScript interview questions for 2024
1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference between null and undefined?
4. Explain the concept of hoisting in JavaScript.
5. What is a closure in JavaScript?
6. What is the difference between β==β and β===β operators in JavaScript?
7. Explain the concept of prototypal inheritance in JavaScript.
8. What are the different ways to define a function in JavaScript?
9. How does event delegation work in JavaScript?
10. What is the purpose of the βthisβ keyword in JavaScript?
11. What are the different ways to create objects in JavaScript?
12. Explain the concept of callback functions in JavaScript.
13. What is event bubbling and event capturing in JavaScript?
14. What is the purpose of the βbindβ method in JavaScript?
15. Explain the concept of AJAX in JavaScript.
16. What is the βtypeofβ operator used for?
17. How does JavaScript handle errors and exceptions?
18. Explain the concept of event-driven programming in JavaScript.
19. What is the purpose of the βasyncβ and βawaitβ keywords in JavaScript?
20. What is the difference between a deep copy and a shallow copy in JavaScript?
21. How does JavaScript handle memory management?
22. Explain the concept of event loop in JavaScript.
23. What is the purpose of the βmapβ method in JavaScript?
24. What is a promise in JavaScript?
25. How do you handle errors in promises?
26. Explain the concept of currying in JavaScript.
27. What is the purpose of the βreduceβ method in JavaScript?
28. What is the difference between βnullβ and βundefinedβ in JavaScript?
29. What are the different types of loops in JavaScript?
30. What is the difference between βlet,β βconst,β and βvarβ in JavaScript?
31. Explain the concept of event propagation in JavaScript.
32. What are the different ways to manipulate the DOM in JavaScript?
33. What is the purpose of the βlocalStorageβ and βsessionStorageβ objects?
34. How do you handle asynchronous operations in JavaScript?
35. What is the purpose of the βforEachβ method in JavaScript?
36. What are the differences between βletβ and βvarβ in JavaScript?
37. Explain the concept of memoization in JavaScript.
38. What is the purpose of the βspliceβ method in JavaScript arrays?
39. What is a generator function in JavaScript?
40. How does JavaScript handle variable scoping?
41. What is the purpose of the βsplitβ method in JavaScript?
42. What is the difference between a deep clone and a shallow clone of an object?
43. Explain the concept of the event delegation pattern.
44. What are the differences between JavaScriptβs βnullβ and βundefinedβ?
45. What is the purpose of the βargumentsβ object in JavaScript?
46. What are the different ways to define methods in JavaScript objects?
47. Explain the concept of memoization and its benefits.
48. What is the difference between βsliceβ and βspliceβ in JavaScript arrays?
49. What is the purpose of the βapplyβ and βcallβ methods in JavaScript?
50. Explain the concept of the event loop in JavaScript and how it handles asynchronous operations.
1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference between null and undefined?
4. Explain the concept of hoisting in JavaScript.
5. What is a closure in JavaScript?
6. What is the difference between β==β and β===β operators in JavaScript?
7. Explain the concept of prototypal inheritance in JavaScript.
8. What are the different ways to define a function in JavaScript?
9. How does event delegation work in JavaScript?
10. What is the purpose of the βthisβ keyword in JavaScript?
11. What are the different ways to create objects in JavaScript?
12. Explain the concept of callback functions in JavaScript.
13. What is event bubbling and event capturing in JavaScript?
14. What is the purpose of the βbindβ method in JavaScript?
15. Explain the concept of AJAX in JavaScript.
16. What is the βtypeofβ operator used for?
17. How does JavaScript handle errors and exceptions?
18. Explain the concept of event-driven programming in JavaScript.
19. What is the purpose of the βasyncβ and βawaitβ keywords in JavaScript?
20. What is the difference between a deep copy and a shallow copy in JavaScript?
21. How does JavaScript handle memory management?
22. Explain the concept of event loop in JavaScript.
23. What is the purpose of the βmapβ method in JavaScript?
24. What is a promise in JavaScript?
25. How do you handle errors in promises?
26. Explain the concept of currying in JavaScript.
27. What is the purpose of the βreduceβ method in JavaScript?
28. What is the difference between βnullβ and βundefinedβ in JavaScript?
29. What are the different types of loops in JavaScript?
30. What is the difference between βlet,β βconst,β and βvarβ in JavaScript?
31. Explain the concept of event propagation in JavaScript.
32. What are the different ways to manipulate the DOM in JavaScript?
33. What is the purpose of the βlocalStorageβ and βsessionStorageβ objects?
34. How do you handle asynchronous operations in JavaScript?
35. What is the purpose of the βforEachβ method in JavaScript?
36. What are the differences between βletβ and βvarβ in JavaScript?
37. Explain the concept of memoization in JavaScript.
38. What is the purpose of the βspliceβ method in JavaScript arrays?
39. What is a generator function in JavaScript?
40. How does JavaScript handle variable scoping?
41. What is the purpose of the βsplitβ method in JavaScript?
42. What is the difference between a deep clone and a shallow clone of an object?
43. Explain the concept of the event delegation pattern.
44. What are the differences between JavaScriptβs βnullβ and βundefinedβ?
45. What is the purpose of the βargumentsβ object in JavaScript?
46. What are the different ways to define methods in JavaScript objects?
47. Explain the concept of memoization and its benefits.
48. What is the difference between βsliceβ and βspliceβ in JavaScript arrays?
49. What is the purpose of the βapplyβ and βcallβ methods in JavaScript?
50. Explain the concept of the event loop in JavaScript and how it handles asynchronous operations.
π44β€2π1
15+ Must Watch Movies for Programmersπ§βπ»π€
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
π37β€14
As a fresher, gaining experience in a broad area like web development or mobile app development can be beneficial for programmers. These fields often have diverse opportunities and demand for entry-level positions. Additionally, exploring fundamental concepts like data structures, algorithms, and version control is crucial. As you gain experience, you can then specialize based on your interests and the industry's evolving demands.
π21β€5
How to Learn Java in 2024
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
π24β€18
Forwarded from TrueMinds | Personality Development - Words of Wisdom
Your time has come!
You need to improve!
I donβt know in what. Maybe make a list these are the things i need to improve now maybe mindset maybe health or connections or social skills maybe looks or maybe studying capacity accordingly - you need to know.
The day 1 has started donβt waste time go do something focus on yourself!
Donβt worry you just need to start everything will be fineβ¦π
You need to improve!
I donβt know in what. Maybe make a list these are the things i need to improve now maybe mindset maybe health or connections or social skills maybe looks or maybe studying capacity accordingly - you need to know.
The day 1 has started donβt waste time go do something focus on yourself!
Donβt worry you just need to start everything will be fineβ¦π
π28β€20
Java is a popular programming language that is widely used for developing various types of applications, including web applications, mobile apps, desktop applications, and enterprise systems. Here are some key concepts to understand the basics of Java:
1. Object-Oriented Programming (OOP): Java is an object-oriented programming language, which means it focuses on creating objects that contain both data and methods to operate on that data. Key principles of OOP in Java include encapsulation, inheritance, and polymorphism.
2. Classes and Objects: In Java, a class is a blueprint for creating objects. An object is an instance of a class that represents a real-world entity. Classes define the properties (attributes) and behaviors (methods) of objects.
3. Variables and Data Types: Java supports various data types, including primitive data types (e.g., int, double, boolean) and reference data types (e.g., String, arrays). Variables are used to store data values in memory.
4. Methods: Methods in Java are functions defined within a class to perform specific tasks. They encapsulate behavior and can accept parameters and return values.
5. Control Flow Statements: Java provides control flow statements such as if-else, switch-case, loops (for, while, do-while), and break/continue statements to control the flow of program execution.
6. Inheritance: Inheritance is a key feature of OOP that allows a class (subclass) to inherit properties and behaviors from another class (superclass). It promotes code reusability and establishes an "is-a" relationship between classes.
7. Polymorphism: Polymorphism allows objects of different classes to be treated as objects of a common superclass. It enables methods to be overridden in subclasses to provide different implementations.
8. Abstraction: Abstraction involves hiding the complex implementation details and showing only the essential features of an object. Abstract classes and interfaces are used to achieve abstraction in Java.
9. Encapsulation: Encapsulation is the process of bundling data (attributes) and methods that operate on that data within a class. It helps in data hiding and protects the internal state of an object.
10. Exception Handling: Java provides mechanisms for handling exceptions that occur during program execution. The try-catch-finally blocks are used to handle exceptions gracefully and prevent program crashes.
Understanding these basic concepts of Java will help you get started with programming in Java. Practice writing Java programs, exploring different features of the language, and building small projects to strengthen your Java skills.
1. Object-Oriented Programming (OOP): Java is an object-oriented programming language, which means it focuses on creating objects that contain both data and methods to operate on that data. Key principles of OOP in Java include encapsulation, inheritance, and polymorphism.
2. Classes and Objects: In Java, a class is a blueprint for creating objects. An object is an instance of a class that represents a real-world entity. Classes define the properties (attributes) and behaviors (methods) of objects.
3. Variables and Data Types: Java supports various data types, including primitive data types (e.g., int, double, boolean) and reference data types (e.g., String, arrays). Variables are used to store data values in memory.
4. Methods: Methods in Java are functions defined within a class to perform specific tasks. They encapsulate behavior and can accept parameters and return values.
5. Control Flow Statements: Java provides control flow statements such as if-else, switch-case, loops (for, while, do-while), and break/continue statements to control the flow of program execution.
6. Inheritance: Inheritance is a key feature of OOP that allows a class (subclass) to inherit properties and behaviors from another class (superclass). It promotes code reusability and establishes an "is-a" relationship between classes.
7. Polymorphism: Polymorphism allows objects of different classes to be treated as objects of a common superclass. It enables methods to be overridden in subclasses to provide different implementations.
8. Abstraction: Abstraction involves hiding the complex implementation details and showing only the essential features of an object. Abstract classes and interfaces are used to achieve abstraction in Java.
9. Encapsulation: Encapsulation is the process of bundling data (attributes) and methods that operate on that data within a class. It helps in data hiding and protects the internal state of an object.
10. Exception Handling: Java provides mechanisms for handling exceptions that occur during program execution. The try-catch-finally blocks are used to handle exceptions gracefully and prevent program crashes.
Understanding these basic concepts of Java will help you get started with programming in Java. Practice writing Java programs, exploring different features of the language, and building small projects to strengthen your Java skills.
π49β€15
I have created a backup channel with helpful programming Books and resources
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Free Coding Books
Learning should never stop
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Learning should never stop
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Famous programming languages and their frameworks
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
π62β€18π1π«‘1
π΄ How to MASTER a programming language using ChatGPT: π
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT ππ
https://t.iss.one/free4unow_backup/687
Master DSA ππ
https://t.iss.one/dsabooks/156
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT ππ
https://t.iss.one/free4unow_backup/687
Master DSA ππ
https://t.iss.one/dsabooks/156
π16β€5
Useful Cheatsheets for Free ππ
Data Science
SQL
Java Programming
PHP
Pandas in 5 minutes
Python
GIT and Machine Learning
Javascript
HTML
Supervised Learning
Cybersecurity
Generative AI
VS Code
Machine Learning
Join @free4unow_backup for more free resourses
ENJOY LEARNING ππ
Data Science
SQL
Java Programming
PHP
Pandas in 5 minutes
Python
GIT and Machine Learning
Javascript
HTML
Supervised Learning
Cybersecurity
Generative AI
VS Code
Machine Learning
Join @free4unow_backup for more free resourses
ENJOY LEARNING ππ
π28β€11π₯°1π«‘1
The most popular programming languages:
1. Python
2. TypeScript
3. JavaScript
4. C#
5. HTML
6. Rust
7. C++
8. C
9. Go
10. Lua
11. Kotlin
12. Java
13. Swift
14. Jupyter Notebook
15. Shell
16. CSS
17. GDScript
18. Solidity
19. Vue
20. PHP
21. Dart
22. Ruby
23. Objective-C
24. PowerShell
25. Scala
According to the Latest GitHub Repositories
1. Python
2. TypeScript
3. JavaScript
4. C#
5. HTML
6. Rust
7. C++
8. C
9. Go
10. Lua
11. Kotlin
12. Java
13. Swift
14. Jupyter Notebook
15. Shell
16. CSS
17. GDScript
18. Solidity
19. Vue
20. PHP
21. Dart
22. Ruby
23. Objective-C
24. PowerShell
25. Scala
According to the Latest GitHub Repositories
π38β€12
Top 50 C++ interview questions for 2024:
Free Programming Resources: https://t.iss.one/programming_guide
Here are the top 50 interview questions for C++:
1. What is C++ and what are its key features?
2. Differentiate between C and C++.
3. Explain the concept of Object-Oriented Programming (OOP) and its pillars in C++.
4. What are the basic data types in C++?
5. Describe the difference between stack and heap memory allocation in C++.
6. Explain the significance of the "const" keyword in C++.
7. What is a pointer and what are its uses in C++?
8. Discuss the concept of reference variables in C++.
9. Explain the difference between pass by value and pass by reference in C++.
10. Describe the purpose and usage of namespaces in C++.
11. Discuss the concept of function overloading in C++.
12. What is operator overloading and how is it implemented in C++?
13. Explain the difference between a class and an object in C++.
14. Describe the access specifiers in C++ (public, private, protected).
15. Discuss the concept of inheritance in C++ and its types.
16. What is polymorphism and how is it achieved in C++?
17. Explain the difference between static binding and dynamic binding in C++.
18. Describe virtual functions and pure virtual functions in C++.
19. Discuss the concept of abstract classes and interfaces in C++.
20. What are templates in C++ and how are they used?
21. Explain the difference between function templates and class templates in C++.
22. Describe the exception handling mechanism in C++.
23. Discuss the importance of destructors in C++.
24. What is a constructor and how does it differ from a destructor in C++?
25. Explain the difference between shallow copy and deep copy in C++.
26. Discuss the concept of smart pointers in C++.
27. What are the differences between std::vector and std::array in C++?
28. Describe the usage of STL (Standard Template Library) in C++.
29. Explain the difference between iterators and pointers in C++.
30. Discuss the concept of RAII (Resource Acquisition Is Initialization) in C++.
31. What is a lambda expression and how is it used in C++?
32. Describe the role of the "auto" keyword in C++11 and later versions.
33. Explain the concept of move semantics in C++.
34. Discuss the usage of const iterators in C++.
35. What are the differences between function objects and lambda expressions in C++?
36. Describe the purpose and usage of std::unique_ptr and std::shared_ptr in C++.
37. Discuss the concept of type casting in C++.
38. What is the role of the "mutable" keyword in C++?
39. Explain the differences between std::map and std::unordered_map in C++.
40. Describe the purpose and usage of RTTI (Run-Time Type Information) in C++.
41. Discuss the concept of multithreading in C++.
42. What are mutexes and how are they used for synchronization in C++?
43. Explain the difference between condition variables and semaphores in C++.
44. Discuss the usage of std::thread and std::async for concurrent programming in C++.
45. What are the differences between process and thread in C++?
46. Describe the purpose and usage of atomic operations in C++.
47. Discuss the concept of deadlock and how to avoid it in C++ multithreading.
48. What are the advantages and disadvantages of multithreading in C++?
49. Explain the concept of thread safety and how to achieve it in C++.
50. Describe the usage of synchronization primitives like std::mutex and std::lock_guard in C++.
ENJOY LEARNING ππ
Free Programming Resources: https://t.iss.one/programming_guide
Here are the top 50 interview questions for C++:
1. What is C++ and what are its key features?
2. Differentiate between C and C++.
3. Explain the concept of Object-Oriented Programming (OOP) and its pillars in C++.
4. What are the basic data types in C++?
5. Describe the difference between stack and heap memory allocation in C++.
6. Explain the significance of the "const" keyword in C++.
7. What is a pointer and what are its uses in C++?
8. Discuss the concept of reference variables in C++.
9. Explain the difference between pass by value and pass by reference in C++.
10. Describe the purpose and usage of namespaces in C++.
11. Discuss the concept of function overloading in C++.
12. What is operator overloading and how is it implemented in C++?
13. Explain the difference between a class and an object in C++.
14. Describe the access specifiers in C++ (public, private, protected).
15. Discuss the concept of inheritance in C++ and its types.
16. What is polymorphism and how is it achieved in C++?
17. Explain the difference between static binding and dynamic binding in C++.
18. Describe virtual functions and pure virtual functions in C++.
19. Discuss the concept of abstract classes and interfaces in C++.
20. What are templates in C++ and how are they used?
21. Explain the difference between function templates and class templates in C++.
22. Describe the exception handling mechanism in C++.
23. Discuss the importance of destructors in C++.
24. What is a constructor and how does it differ from a destructor in C++?
25. Explain the difference between shallow copy and deep copy in C++.
26. Discuss the concept of smart pointers in C++.
27. What are the differences between std::vector and std::array in C++?
28. Describe the usage of STL (Standard Template Library) in C++.
29. Explain the difference between iterators and pointers in C++.
30. Discuss the concept of RAII (Resource Acquisition Is Initialization) in C++.
31. What is a lambda expression and how is it used in C++?
32. Describe the role of the "auto" keyword in C++11 and later versions.
33. Explain the concept of move semantics in C++.
34. Discuss the usage of const iterators in C++.
35. What are the differences between function objects and lambda expressions in C++?
36. Describe the purpose and usage of std::unique_ptr and std::shared_ptr in C++.
37. Discuss the concept of type casting in C++.
38. What is the role of the "mutable" keyword in C++?
39. Explain the differences between std::map and std::unordered_map in C++.
40. Describe the purpose and usage of RTTI (Run-Time Type Information) in C++.
41. Discuss the concept of multithreading in C++.
42. What are mutexes and how are they used for synchronization in C++?
43. Explain the difference between condition variables and semaphores in C++.
44. Discuss the usage of std::thread and std::async for concurrent programming in C++.
45. What are the differences between process and thread in C++?
46. Describe the purpose and usage of atomic operations in C++.
47. Discuss the concept of deadlock and how to avoid it in C++ multithreading.
48. What are the advantages and disadvantages of multithreading in C++?
49. Explain the concept of thread safety and how to achieve it in C++.
50. Describe the usage of synchronization primitives like std::mutex and std::lock_guard in C++.
ENJOY LEARNING ππ
π30β€11
π° 100 Days of Code β The Complete Python Pro Bootcamp for 2022
https://t.iss.one/PythonInterviews/118
β± 60 Hours π¦ 230 Lessons
At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional.
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
Taught By: Dr. Angela Yu
Download Full Course: https://t.iss.one/PythonInterviews/118
Download All Courses: https://t.iss.one/pythonfreebootcamp
https://t.iss.one/PythonInterviews/118
β± 60 Hours π¦ 230 Lessons
At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional.
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
Taught By: Dr. Angela Yu
Download Full Course: https://t.iss.one/PythonInterviews/118
Download All Courses: https://t.iss.one/pythonfreebootcamp
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30 Days Roadmap to learn R Programming in 2024 ππ
Day 1-3: Introduction to R Programming
- Learn the basics of R programming language
- Install R and RStudio
- Explore the RStudio interface
- Understand data types, variables, and functions in R
Day 4-7: Data Manipulation in R
- Learn how to read and write data in R
- Explore data structures in R (vectors, matrices, data frames)
- Perform basic data manipulation tasks (subsetting, filtering, merging)
Day 8-10: Data Visualization in R
- Learn how to create basic plots using base R graphics
- Explore advanced plotting techniques using ggplot2 package
- Customize plots with different themes, colors, and labels
Day 11-14: Statistical Analysis in R
- Learn basic statistical concepts in R
- Perform descriptive statistics and hypothesis testing
- Explore regression analysis and other statistical models
Day 15-17: Data Wrangling in R
- Learn how to clean and preprocess data in R
- Use dplyr and tidyr packages for data wrangling tasks
- Handle missing values, outliers, and other data issues
Day 18-21: Machine Learning in R
- Introduction to machine learning concepts
- Explore popular machine learning algorithms in R (e.g., decision trees, random forests, SVM)
- Perform model evaluation and selection
Day 22-24: Text Mining in R
- Introduction to text mining concepts
- Learn how to preprocess text data in R
- Perform text analysis tasks such as sentiment analysis, text classification
Day 25-27: Time Series Analysis in R
- Introduction to time series analysis concepts
- Explore time series data visualization and decomposition techniques
- Perform time series forecasting using ARIMA models
Day 28-30: Final Projects and Practice
- Work on a final project to apply your knowledge of R programming
- Practice coding exercises and challenges to reinforce your skills
- Seek feedback from peers or mentors on your projects and code
Give credits while sharing: https://t.iss.one/programming_guide
ENJOY LEARNING ππ
Day 1-3: Introduction to R Programming
- Learn the basics of R programming language
- Install R and RStudio
- Explore the RStudio interface
- Understand data types, variables, and functions in R
Day 4-7: Data Manipulation in R
- Learn how to read and write data in R
- Explore data structures in R (vectors, matrices, data frames)
- Perform basic data manipulation tasks (subsetting, filtering, merging)
Day 8-10: Data Visualization in R
- Learn how to create basic plots using base R graphics
- Explore advanced plotting techniques using ggplot2 package
- Customize plots with different themes, colors, and labels
Day 11-14: Statistical Analysis in R
- Learn basic statistical concepts in R
- Perform descriptive statistics and hypothesis testing
- Explore regression analysis and other statistical models
Day 15-17: Data Wrangling in R
- Learn how to clean and preprocess data in R
- Use dplyr and tidyr packages for data wrangling tasks
- Handle missing values, outliers, and other data issues
Day 18-21: Machine Learning in R
- Introduction to machine learning concepts
- Explore popular machine learning algorithms in R (e.g., decision trees, random forests, SVM)
- Perform model evaluation and selection
Day 22-24: Text Mining in R
- Introduction to text mining concepts
- Learn how to preprocess text data in R
- Perform text analysis tasks such as sentiment analysis, text classification
Day 25-27: Time Series Analysis in R
- Introduction to time series analysis concepts
- Explore time series data visualization and decomposition techniques
- Perform time series forecasting using ARIMA models
Day 28-30: Final Projects and Practice
- Work on a final project to apply your knowledge of R programming
- Practice coding exercises and challenges to reinforce your skills
- Seek feedback from peers or mentors on your projects and code
Give credits while sharing: https://t.iss.one/programming_guide
ENJOY LEARNING ππ
π24β€5
Best Resources to learn Programming
ππ
https://topmate.io/coding/886839
Most programmers hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it.
Hope this helps in your job search journey... All the best!πβοΈ
ππ
https://topmate.io/coding/886839
Most programmers hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it.
Hope this helps in your job search journey... All the best!πβοΈ
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