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JOIN THIS CHANNEL FOR All INTERVIEW PREPARATION NOTES 📜, CODING RESOURCES, INTERVIEW RESOURCES 📕 Use the search Option in the channel to search your required materials. . . . . . Contacts- 📩Email - abrojackhimanshu@gmail.com 📥WhatsApp- +91767389609

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CODING NOTES AI

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18+ year old kids are making $30,000/month using AI.

But most people don't know how to use it to generate income.

Here are 50 AI tools that will turn you into an CASH machine

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Top 100 JAVA Interview Question & Answers

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Learning Microsoft Azure
Jonah Carrio Andersson, 2023

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Complete DSA Roadmap

|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank

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CODING NOTES AI

⭐️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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CODING NOTES AI

Essential API Tools for 2023

APIs are now the backbone of most digital projects. 🌐 To make sure you're all geared up for 2023, I've laid down a bunch of top tools by category. Dive in! 🏊‍♂️

🔍 𝗗𝗲𝘀𝗶𝗴𝗻 & 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁:
- Swagger (OpenAPI) for spec 📝
- RAML, PAML & API Blueprint for languages 🖊️
- Postman for that nifty design & testing 🛠️
- Mockoon for mock servers 👨‍💻

💼 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:
- API {REST} & FakeRest for deployment 🚀
- Big names like Apigee, MuleSoft Anypoint, IBM API Connect & more for management 🏢

🧪 𝗧𝗲𝘀𝘁𝗶𝗻𝗴:
- APACHE JMeter™ & JMeter for load testing ⚖️
- SoapUI for functional tests 🧫
- Rest-Assured & more for mock & test 🧐

🔄 𝗖𝗼𝗱𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻:
- Swagger & RAML Codegen to help churn out that code 💻

🔐 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆:
- From general tools like Postman to niche ones like OWASP ZAP & API Fortress 🛡️
- Autho, Okta & Keycloak got your back for auth 🚪

📊 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴:
- Monitoring gods like New Relic, Datadog, & AppDynamics 🖥️

🛡 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻:
- Cloudflare, AWS WAF & Azure Firewall for that sturdy protection 🚫

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CODING NOTES AI

Job trends for software developers in the next 5 years:

[1] Most startups are starting to realize that they need to control profits, not just revenues. Many unicorns who were on track to their IPO had to delay their IPOs due to lack of profitability.

For software developers: This means that startups may be less likely to offer high salaries to attract new talent. However, it also means that startups are becoming more focused on profitability, which is a good thing for the industry in the long term.

[2] All smart CEOs have started to focus on their personal brands. This is evident on LinkedIn as well. People like to buy from people, not from companies. Therefore, almost every 'Shark' now feature on their own advertisement. Why? Personal brand.

Take a cue and start cultivating your personal brand as well.

For software developers: Building a personal brand is a great way to attract new job opportunities and build a following. You can do this by writing blog posts, creating videos, or speaking at industry events.

[3] Gone are the days when you could depend on 1 job. Firms are not loyal to you. And, any smart employee can see through this. If you are not building backups already, you are doing yourself a disservice. And, the volatile job market is might one day hit you badly.

For software developers: Software developers are in high demand, so they have more flexibility to take on multiple jobs. This can be a great way to increase income and diversify your skills. For example, you could work as a full-time software engineer and also freelance as a software developer on the side.

[4] Rise of remote jobs:

To cut the long story short, if work could be done from home, why would you waste your time, effort, energy travelling? Not every job fits into 'work from home' culture, but many do.

For software developers: Software development is a job that can easily be done remotely, so many companies are now offering remote positions. This can be a great benefit for software developers who want more flexibility in their work-life balance.

[5] With the rise of financial & career education, most people would prefer decent money + family time (OVER) crazy money + no time.

And owning small businesses is one way of fulfilling this goal.

For software developers: Starting a small business can be a great way for software developers to have more control over their work and earn more money. Some examples of small businesses that software developers can start include developing and selling software products, providing software consulting services, or freelancing as a software developer.

6] As more and more businesses move online, the demand for software developers will continue to grow. Software developers are responsible for building and maintaining the digital infrastructure that businesses need to operate in the digital age.

P.S. I am not an expert and these are speculations

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CODING NOTES AI

Important topics of Object Oriented Programming System

1. Classes and Objects:
-> Basics of defining classes and creating objects.
-> Class members: attributes (properties) and methods (functions).

2. Inheritance:
-> Creating a new class by inheriting properties and methods from an existing class.
-> Superclasses (base classes) and subclasses (derived classes).

3. Polymorphism:
-> Ability to take multiple forms.
-> Method overriding and method overloading.

4. Encapsulation:
-> Hiding the internal details of a class and providing a controlled interface.
-> Access modifiers: public, private, protected.

5. Abstraction:
-> Simplifying complex reality by modeling classes based on real-world entities.
-> Abstract classes and interfaces.

6. Constructors and Destructors:
-> Special methods for initializing and cleaning up objects.
-> Constructor overloading.

7. Method Access and Modifiers:
-> Public, private, protected, and package-private access modifiers.
-> Static methods and variables.

A few advanced topics :-

Composition and Aggregation:
Combining objects to create more complex structures.
Has-a and Is-a relationships.

Object Relationships:
Association, aggregation, and composition.
One-to-one, one-to-many, and many-to-many relationships.

Interfaces:
Defining contracts that classes must adhere to.
Multiple interface implementation.

Polymorphic Behavior:
Achieving flexibility through polymorphism.
Method overriding and dynamic method binding.

Inheritance vs. Composition:
Comparing and choosing between inheritance and object composition.

Design Patterns:
Common solutions to recurring design problems.
Examples: Singleton, Factory, Observer, etc.

Exception Handling:
Handling errors and exceptions gracefully in OOP.
Try-catch blocks.

Object Serialization:
Converting objects into a format suitable for storage or transmission.
Reading and writing objects to/from files.

Garbage Collection:
Automatic memory management to reclaim unused memory.
Mark and sweep, reference counting, and generations.

UML (Unified Modeling Language):
A visual language for modeling software systems.
Class diagrams, sequence diagrams, and use cases.

Method Overriding vs. Method Overloading:
Understanding the differences between these two concepts.

Abstract Classes vs. Interfaces:
Comparing and contrasting abstract classes and interfaces in OOP.

Encapsulation Benefits:
Discussing the advantages of encapsulation, such as data protection and code organization.

P.S - These are just the name of topics which you should be aware of. You can get enough articles on every topic just on a Google search.

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CODING NOTES AI

Insights on the Current Job Market

It's no secret, folks. OFFCAMPUS hirings are dwindling this year, and it's causing some serious ripples. Last year, the scenario was quite different, but now, it's a whole new ball game.

🔍 Companies are leaning towards on-campus hires, leaving OFFCAMPUS opportunities limited. No Microsoft Engage this year, which is a bit of a letdown.

📉 Even on campus, companies are playing it cautious with headcounts. Last year, Amazon scooped up an average of 20-30 students from top-notch colleges. This year, the story's different.

📜 Pre-Placement Offers (PPOs) are scarcer. Big tech players aren't extending them to everyone, even with glowing feedback.

🗓 Joining dates for 2023 grads have been pushed, giving 2024 grads a run for their money. The market's teeming with talent, and companies are preferring the ones ready to hit the ground running.

📚 With the rise of edtech and heightened student expectations, competition is fierce. Some score multiple offers, while others face a dry spell. Inequality is on the rise.

💡 For the graduating class, here's my take: don't let the stress get to you. This wave is hitting everyone, even the mighty IITs and NITs. Expand your skill set. If you're a DSA whiz, dabble in development and master it.

⏳ You've got time. Use it wisely. Your placement is on the horizon, whether it's immediate or a bit down the road.

🚀 Focus on development. Target promising startups. Secure a position, and in a year or so, reassess the landscape. The market's bound to bounce back.

🛠 Freelance projects? Definitely worth considering. They not only offer a solid backup but also let you create something with your own stamp on it.

Remember, be proactive, diversify your skills, and most importantly, look after your well-being. Your health is your greatest asset. 💪🌟

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Step by step guide to becoming a prompt engineer

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Getting job offers as a developer involves several steps:👨‍💻🚀

1. Build a Strong Portfolio: Create a portfolio of projects that showcase your skills. Include personal projects, open-source contributions, or freelance work. This demonstrates your abilities to potential employers.👨‍💻

2. Enhance Your Skills: Stay updated with the latest technologies and trends in your field. Consider taking online courses, attending workshops, or earning certifications to bolster your skills.🚀

3. Network: Attend industry events, conferences, and meetups to connect with professionals in your field. Utilize social media platforms like LinkedIn to build a professional network.🔥

4. Resume and Cover Letter: Craft a tailored resume and cover letter for each job application. Highlight relevant skills and experiences that match the job requirements.📇

5. Job Search Platforms: Utilize job search websites like LinkedIn, Indeed, Glassdoor, and specialized platforms like Stack Overflow Jobs, GitHub Jobs, or AngelList for tech-related positions. 🔍

6. Company Research: Research companies you're interested in working for. Customize your application to show your genuine interest in their mission and values.🕵️‍♂️

7. Prepare for Interviews: Be ready for technical interviews. Practice coding challenges, algorithms, and data structures. Also, be prepared to discuss your past projects and problem-solving skills.📝

8. Soft Skills: Develop your soft skills like communication, teamwork, and problem-solving. Employers often look for candidates who can work well in a team and communicate effectively.💻

9. Internships and Freelancing: Consider internships or freelancing opportunities to gain practical experience and build your resume. 🏠

10. Personal Branding: Maintain an online presence by sharing your work, insights, and thoughts on platforms like GitHub, personal blogs, or social media. This can help you get noticed by potential employers.👦

11. Referrals: Reach out to your network and ask for referrals from people you know in the industry. Employee referrals are often highly valued by companies.🌈

12. Persistence: The job search process can be challenging. Don't get discouraged by rejections. Keep applying, learning, and improving your skills.💯

13. Negotiate Offers: When you receive job offers, negotiate your salary and benefits. Research industry standards and be prepared to discuss your expectations.📉

Remember that the job search process can take time, so patience is key. By focusing on these steps and continuously improving your skills and network, you can increase your chances of receiving job offers as a developer.

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CODING NOTES AI

Top 15 advanced Power BI interview questions

1. Explain the concept of row-level security in Power BI and how to implement it.

2. What are calculated tables in Power BI, and when would you use them?

3. Describe the differences between DirectQuery, Live Connection, and Import Data storage modes in Power BI.

4. How can you optimize the performance of a Power BI report or dashboard with large datasets?

5. What is the DAX language, and how is it used in Power BI? Provide an example of a complex DAX calculation.

6. Explain the role of Power Query in data transformation within Power BI. What are some common data cleansing techniques in Power Query?

7. What is the purpose of the Power BI Data Model, and how do relationships between tables impact report development?

8. How can you create custom visuals or extensions in Power BI? Provide an example of when you would use custom visuals.

9. Describe the steps involved in setting up Power BI Gateway and its significance in a corporate environment.

10. What are the differences between Power BI Desktop, Power BI Service, and Power BI Mobile? How do they work together in a typical Power BI workflow?

11. Discuss the process of incremental data refresh in Power BI and its benefits.

12. How can you implement dynamic security roles in Power BI, and why might you need them in a multi-user environment?

13. What are Power BI paginated reports, and when would you choose to use them over standard interactive reports?

14. Explain the concept of drill-through in Power BI, including its configuration and use cases.

15. How can you integrate Power BI with other Microsoft products, such as Azure Data Lake Storage or SharePoint?

Like this post if you want the answers in next post ❤️👍

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How-to-Answer-the-64-Toughest-Interview-Questions.pdf

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What are the different Applications of Java?

Mobile Applications
Desktop GUI
Web-based Applications
Enterprise Applications
Scientific Applications
Gaming Applications
Big Data technologies
Business Applications
Distributed Applications
Cloud-based Applications

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CODING NOTES AI

Java interview questions along with brief answers

1. What is the difference between == and .equals() in Java?
- == compares object references, while .equals() compares the content of objects.

2. Explain the difference between ArrayList and LinkedList.
- ArrayList uses a dynamic array to store elements, providing fast random access. LinkedList uses a doubly-linked list, offering efficient insertion and deletion.

3. What is the significance of the static keyword in Java?
- The static keyword is used to create variables and methods that belong to the class rather than instances of the class. These can be accessed without creating an object.

4. What is the difference between an abstract class and an interface?
- An abstract class can have both abstract (unimplemented) and concrete (implemented) methods, while an interface can only have abstract methods. A class can implement multiple interfaces, but it can extend only one abstract class.

5. What is the purpose of the finally block in exception handling?
- The finally block is used to ensure that a specific block of code is always executed, regardless of whether an exception is thrown or not.

6. Explain the concept of multithreading in Java.
- Multithreading is the concurrent execution of two or more threads. Threads allow programs to run tasks in parallel, improving performance. In Java, you can create threads by extending the Thread class or implementing the Runnable interface.

7. What is the NullPointerException and how can it be avoided?
- NullPointerException occurs when you try to access a method or field of an object that is null. To avoid it, ensure that objects are properly initialized before accessing their members.

8. How does garbage collection work in Java?
- Garbage collection is the process of automatically reclaiming memory occupied by unreferenced objects. Java uses a garbage collector to identify and delete objects that are no longer reachable.

9. Explain the final keyword in Java.
- The final keyword can be applied to variables, methods, and classes. When applied to a variable, it means the variable's value cannot be changed. When applied to a method, it prevents method overriding. When applied to a class, it prevents the class from being subclassed.

10. What is the Java Virtual Machine (JVM)?
- JVM is a virtual machine that executes Java bytecode. It abstracts the hardware and operating system details, allowing Java programs to run on any device with a compatible JVM.

These questions cover a range of Java concepts commonly discussed in interviews. Be prepared to elaborate on your answers and provide examples if requested during an interview.

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CODING NOTES AI

Free AI Courses

Save 1000s of hours:

1. Microsoft - AI For Beginners Curriculum.
https://microsoft.github.io/AI-For-Beginners/

2. Introduction to Artificial Intelligence
https://www.linkedin.com/learning/introduction-to-artificial-intelligence/why-you-need-to-know-about-artificial-intelligence

3. What Is Generative AI?
https://www.linkedin.com/learning/what-is-generative-ai

4. Generative AI: The Evolution of Thoughtful Online Search
https://www.linkedin.com/learning/generative-ai-the-evolution-of-thoughtful-online-search/how-finding-and-sharing-information-online-has-evolved

5. Streamlining Your Work with Microsoft Bing Chat
https://www.linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat/put-your-fingers-to-work-chatting-as-a-productivity-tool

6. Ethics in the Age of Generative AI
https://www.linkedin.com/learning/ethics-in-the-age-of-generative-ai/generative-ai-and-ethics-the-urgency-of-now

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CODING NOTES AI

Ansible
Michael Heap, 2016

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CODING NOTES AI

Top courses from IBM, Google and Harvard Universities.

1. Python for Everybody Specialization.
🔗https://imp.i384100.net/6ezVN3

2. Crash Course on Python
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3. Get Started with Python
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4. Python for Data Science, AI & Development
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5. Google Data Analytics
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6. Google Advanced Data Analytics
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7. IBM Data Science Professional Certificate.
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8. IBM Data Warehouse Engineer Professional Certificate.
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9. IBM Cybersecurity Analyst Professional Certificate.
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🟦 Follow our telegram channel 👇

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🎪 Get a remote job using these AI tools 🎪


➼ Interview questions –
https://interviewgpt.ai

➼ Interview notes –
http://metaview.ai

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http://accio.springworks.in

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➼ Apply automatically –
http://applyish.com

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CODING NOTES AI

Quick recap of essential SQL basics 😄👇

SQL is a domain-specific language used for managing and querying relational databases. It's crucial for interacting with databases, retrieving, storing, updating, and deleting data. Here are some fundamental SQL concepts:

1. Database
- A database is a structured collection of data. It's organized into tables, and SQL is used to manage these tables.

2. Table
- Tables are the core of a database. They consist of rows and columns, and each row represents a record, while each column represents a data attribute.

3. Query
- A query is a request for data from a database. SQL queries are used to retrieve information from tables. The SELECT statement is commonly used for this purpose.

4. Data Types
- SQL supports various data types (e.g., INTEGER, TEXT, DATE) to specify the kind of data that can be stored in a column.

5. Primary Key
- A primary key is a unique identifier for each row in a table. It ensures that each row is distinct and can be used to establish relationships between tables.

6. Foreign Key
- A foreign key is a column in one table that links to the primary key in another table. It creates relationships between tables in a database.

7. CRUD Operations
- SQL provides four primary operations for data manipulation:
- Create (INSERT) - Add new records to a table.
- Read (SELECT) - Retrieve data from one or more tables.
- Update (UPDATE) - Modify existing data.
- Delete (DELETE) - Remove records from a table.

8. WHERE Clause
- The WHERE clause is used in SELECT, UPDATE, and DELETE statements to filter and conditionally manipulate data.

9. JOIN
- JOIN operations are used to combine data from two or more tables based on a related column. Common types include INNER JOIN, LEFT JOIN, and RIGHT JOIN.

10. Index
- An index is a database structure that improves the speed of data retrieval operations. It's created on one or more columns in a table.

11. Aggregate Functions
- SQL provides functions like SUM, AVG, COUNT, MAX, and MIN for performing calculations on groups of data.

12. Transactions
- Transactions are sequences of one or more SQL statements treated as a single unit. They ensure data consistency by either applying all changes or none.

13. Normalization
- Normalization is the process of organizing data in a database to minimize data redundancy and improve data integrity.

14. Constraints
- Constraints (e.g., NOT NULL, UNIQUE, CHECK) are rules that define what data is allowed in a table, ensuring data quality and consistency.

Hope it helps :)

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CODING NOTES AI

TCS SQL Interview Questions

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CODING NOTES AI

Top 15 #AI websites for #Interview Preparations for #Jobseekers!

1) Huru.ai
AI-powered interview prep with tailored questions.

2) Talkberry.ai
Language learning with simulated English job interviews.

3) Interviewigniter.com
AI roleplay simulations for post-interview evaluations.

4) AI Mock Interview - (Sqlpad.io)
Tailored interview practice with personalized feedback.

5) Rightjoin.co
Customized mock interviews based on resumes and job postings.

6) Interviewsby.ai
Custom mock interviews with real-time voice feedback.

7) Jobinterview-ai.com
Real-time AI-assisted English interview practice.

8) Interview Coach
AI-generated job-specific interview questions and guidance.

9) InterviewGPT.ai
AI-powered practice sessions and personalized feedback.

10) Interviewai.me
AI-generated personalized cover letters and interview questions.

11) Interviewprep-ai.com
Streamlined CV integration and customized interview practice.

12) Interview warmup (grow.google)
Practice platform for answering interview questions with transcription.

13) Metaview.ai
Interview Notes

14) Applyish.com
Apply Automatically

15) Hnresumetojobs.com
Resume to jobs

16) Matchthaoleai.com
Job search

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CODING NOTES AI

21 Youtube Channels for Web Developers

✅ Academind
✅ Clever Programmer
✅ Codecourse
✅ Coder Coder
✅ DevTips
✅ DerekBanas
✅ FreeCodeCamp
✅ FlorinPop
✅ Google Developers
✅ Joseph Smith
✅ KevinPowell
✅ LearnCode academy
✅ LearnWebCode
✅ LevelUpTuts
✅ Programming with Mosh
✅ SteveGriffith
✅ TheNetNinja
✅ TheNewBoston
✅ TraversyMedia
✅ Treehouse
✅ WebDevSimplified

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CODING NOTES AI

Best tips to refine your resume in 2023

I got a lot of request from users asking for help in refining resume. So, I thought to some valuable tips in this post itself for everyone's benefit ->

Format and Design: Keep your resume clean and professional. Use a modern and easy-to-read font. Utilize clear headings and bullet points for a structured look.

Contact Information: Include your name, phone number, professional email address, and LinkedIn profile (if applicable) at the top of the resume.

Summary or Objective: Write a concise summary or objective statement that highlights your career goals and what you bring to the table.

Professional Experience: List your work experience in reverse chronological order (most recent first). Use action verbs to describe your accomplishments and focus on quantifiable achievements.

Skills: Highlight relevant technical and soft skills. Tailor this section to the specific job you're applying for.

Education: Include your educational background, listing your most recent degree first. Mention any honors or relevant coursework.

Certifications and Training: If you have relevant certifications or training, list them here.

Projects or Portfolio: Showcase any significant projects or a portfolio of your work if it's relevant to the position.

Keywords: Customize your resume for each job application by incorporating keywords from the job posting. This can help your resume pass through applicant tracking systems (ATS).

Proofread: Carefully proofread your resume for grammar and spelling errors. Consider having someone else review it as well.

Tailor Each Resume: Customize your resume for each job application to emphasize the skills and experiences most relevant to that position.

Quantify Achievements: Whenever possible, use specific numbers or percentages to quantify your achievements. This adds credibility to your claims.

Use Action Words: Start bullet points with strong action verbs like "managed," "achieved," "led," etc.

Keep it Concise: Aim for a resume length of one page for less experienced candidates and up to two pages for more experienced professionals.

Update Regularly: Continuously update your resume to reflect your latest experiences and accomplishments.

Seek Feedback: Don't hesitate to seek feedback from mentors, career advisors, or professional colleagues to improve your resume.

Remember that your resume is your marketing tool, so it should effectively communicate your qualifications and value to potential employers. Tailoring it to each job application and staying up-to-date with current resume trends is crucial for success in 2023.

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CODING NOTES AI

⭕ TECH MAHINDRA Interview Exp ⭕

1) Self Intro.
2) Projects.
3) Ur role in projects.
4) About Tech Mahindra.
5) Your strength and weakness
(how you overcome this).
6) Problems faded during project.
7) Your role in project.
8) If there's a conflict between your
remembers how would you
handle that.
9) If your a TL and your project
submission was delayed... What
will you in this situation
10) What's the toughest decision in
your life.
11) What's hardest time in your life
(and how you overcome that)
12) Main relocation and shift

📝 Note: First go through the
Resume.. They'll ask all in
Resume first.

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🔝💻 Top 10 Websites for Coding Practice:

🚀 Hackerrank.com
💡 Leetcode.com
⚔ Codewars.com
🏋️ Exercism.org
🌀 Codeforces.com
🌍 Hackerearth.com
🏆 Topcoder.com
⏲️ Coderbyte.com
🧮 Projecteuler.net
🍽️ Codechef.com

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CODING NOTES AI

50 Linux commands for our day-to-day work:


1. ls - List directory contents.
2. pwd - Display current directory path.
3. cd - Change directory.
4. mkdir - Create a new directory.
5. mv - Move or rename files.
6. cp - Copy files.
7. rm - Delete files.
8. touch - Create an empty file.
9. rmdir - Remove directory.
10. cat - Display file content.
11. clear - Clear terminal screen.
12. echo - Output text or data to a file.
13. less - View text files page-by-page.
14. man - Display command manual.
15. sudo - Execute commands with root privileges.
16. top - Show system processes.
17. tar - Archive files into tarball.
18. grep - Search for text within files.
19. head - Display file's beginning lines.
20. tail - Show file's ending lines.
21. diff - Compare two files' content.
22. kill - Terminate processes.
23. jobs - List active jobs.
24. sort - Sort lines of a text file.
25. df - Display disk usage.
26. du - Show file or directory size.
27. zip - Compress files into zip format.
28. unzip - Extract zip archives.
29. ssh - Secure connection between hosts.
30. cal - Display calendar.
31. apt - Manage packages.
32. alias - Create command shortcuts.
33. w - Show current user details.
34. whereis - Locate binaries, sources, and manuals.
35. whatis - Provide command description.
36. useradd - Add a new user.
37. passwd - Change user password.
38. whoami - Display current user name.
39. uptime - Show system runtime.
40. free - Display memory status.
41. history - List command history.
42. uname - Provide system details.
43. ping - Check network connectivity.
44. chmod - Modify file/directory permissions.
45. chown - Change file/directory owner.
46. find - Search for files/directories.
47. locate - Find files quickly.
48. ifconfig - Display network interfaces.
49. ip a - List network interfaces succinctly.
50. finger - Retrieve user information.

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CODING NOTES AI

Learn about Generative AI & Earn FREE Certification/Badge from Google ✅



✓ Introduction to Generative AI
Cloudskillsboost.google/course_templat…

✓ Introduction to Large Language Models
Cloudskillsboost.google/course_templat…

✓ Introduction to Attention Mechanism
cloudskillsboost.google/course_templat…

✓ Transformer Models & BERT Model
cloudskillsboost.google/course_templat…

✓ Introduction to Image Generation
cloudskillsboost.google/course_templat…

✓ Create Image Captioning Models
cloudskillsboost.google/course_templat…

✓ Encoder-Decoder Architecture
cloudskillsboost.google/course_templat…

✓ How Google does Machine Learning
cloudskillsboost.google/course_templat…

✓ MLOps: Getting Started
cloudskillsboost.google/course_templat…

✓ Get started with TensorFlow
cloudskillsboost.google/quests/249

✓ Perform foundational ML, AI and Data Tasks
cloudskillsboost.google/quests/117

✓ Language, Speech, Text and Translation with Google Cloud APIs
cloudskillsboost.google/quests/179

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