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Interview
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===============Interview Question============
react application life cycle.
Which methods are deprecated in react application life cycle and tell about new methods added.
Rest parameter
Spread operator
Arrow function
Destructing
Difference b/w let, var and const
Explain the redux flow
Connect method parameters
Pure component
State & props
Variable hoisting
Closure function
Async/await
Promise
Latest react native version
Bind, call & apply differences
map
fetch and axios difference
delete function
reduce function
Interaction Manager
how many threads in react native
Hooks
========*********===============
1. Redux explanation
2. diff b/w let, var & const
3. JSX
4. if your application need to connect with hardware what will be the first approach example beacon etc
5. difference b/w state and props
6. Explain the state and props
7. how you will design application architecture
8. IOT example with react native
9. How to make circle under circle in react js
10. closure function
11. spread operator
12. var hosting
13. promise
14. map in JS
15. set in JS
16. virtual dom in react
17. arrow function
18. html media type
19. html5 new api
20. props flow(unidirectional)
21. Js is single threaded or multiple
22. how to make two way binding in React Js
23. state (data flow)
24. Higher order component
25. application new life cycle methods
26. why will mount () is deprecated
27. how we can show image locally
28. why we use redux
29. what is React.create class
30. what are controlled and uncontrolled components in react
31. what is pure components in react when we need to use these components.
32. difference b/w functional and class component.
33. synthetic events
34. make one component which will show + and - on button click
35. connect method parameters
36. what will return connect method
37. async await in js
38. way of creating object in js
39. interaction manager in react native
40. react refs
41. setstate will call in which method of life cycle
42. diff b/w axios and fetch
43. difference b/w react and react native
44. clustering in java
45. way of creating threads in java
46. multithreading
47. singleton pattern in java and js
48. java 8 updates
49. advantage of spread operator
50. rest parameters
51. es5 & es6 diff
52. shallow renderer
53. redux saga and redux thunk
54. web server and application server difference
55. shadow
56. functional programming in react
57. react routing
58. types of routing
59. server side rendering in react
60. fragment
61. referenceforward
62. Navbar
63. bootstarp
64. bind, call & apply
65. reduce
66. delete
++++++++++++++++++++++
==================================
Data Science link
➡ Data Science for Beginners - A Curriculum
Link: https://github.com/microsoft/Data-Science-For-Beginners
➡ Data Science Resources
Link: https://github.com/jonathan-bower/DataScienceResources
➡ freeCodeCamp.org's open-source codebase and curriculum
Link:https://github.com/freeCodeCamp/freeCodeCamp
➡ List of Data Science/Big Data Resources
Link: https://github.com/chaconnewu/free-data-science-books
➡ Open Source Society University: Path to a free self-taught Education in Data Science
Link: https://github.com/ossu/data-science
➡ AWESOME DATA SCIENCE: An open-source Data Science repository to learn and apply towards solving real-world problems.
Link: https://github.com/academic/awesome-datascience
➡ Data Science ALL CHEAT SHEET
Link: https://github.com/yash42828/Data-Science--All-Cheat-Sheet
➡ Data Science End-to-End Projects
Link: https://github.com/veb-101/Data-Science-Projects
➡ Data Analysis Projects
Link: https://github.com/arjunmann73/Data-Analytics-Projects
➡ Data Science Interview Resources
Link:https://github.com/rbhatia46/Data-Science-Interview-Resources
➡ Data-Science Interview Questions Answers
Link: https://github.com/youssefHosni/Data-Science-Interview-Questions-Answers
➡ Data-science-best-resources
Link: https://github.com/tirthajyoti/Data-science-best-resources
➡ Amazing-Feature-Engineering
Link: https://github.com/ashishpatel26/Amazing-Feature-Engineering
➡ Complete-Life-Cycle-of-a-Data-Science-Project
Link: https://github.com/achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
➡ Data Science Cheatsheet
Link: https://github.com/ml874/Data-Science-Cheatsheet