Artificial Intelligence & ChatGPT Prompts
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๐Ÿ”“Unlock Your Coding Potential with ChatGPT
๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews!
๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job.


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Common Programming Interview Questions

    How do you reverse a string?
    How do you determine if a string is a palindrome?
    How do you calculate the number of numerical digits in a string?
    How do you find the count for the occurrence of a particular character in a string?
    How do you find the non-matching characters in a string?
    How do you find out if the two given strings are anagrams?
    How do you calculate the number of vowels and consonants in a string?
    How do you total all of the matching integer elements in an array?
    How do you reverse an array?
    How do you find the maximum element in an array?
    How do you sort an array of integers in ascending order?
    How do you print a Fibonacci sequence using recursion?
    How do you calculate the sum of two integers?
    How do you find the average of numbers in a list?
    How do you check if an integer is even or odd?
    How do you find the middle element of a linked list?
    How do you remove a loop in a linked list?
    How do you merge two sorted linked lists?
    How do you implement binary search to find an element in a sorted array?
    How do you print a binary tree in vertical order?

Conceptual Coding Interview Questions

    What is a data structure?
    What is an array?
    What is a linked list?
    What is the difference between an array and a linked list?
    What is LIFO?
    What is FIFO?
    What is a stack?
    What are binary trees?
    What are binary search trees?
    What is object-oriented programming?
    What is the purpose of a loop in programming?
    What is a conditional statement?
    What is debugging?
    What is recursion?
    What are the differences between linear and non-linear data structures?


General Coding Interview Questions

    What programming languages do you have experience working with?
    Describe a time you faced a challenge in a project you were working on and how you overcame it.
    Walk me through a project youโ€™re currently or have recently worked on.
    Give an example of a project you worked on where you had to learn a new programming language or technology. How did you go about learning it?
    How do you ensure your code is readable by other developers?
    What are your interests outside of programming?
    How do you keep your skills sharp and up to date?
    How do you collaborate on projects with non-technical team members?
    Tell me about a time when you had to explain a complex technical concept to a non-technical team member.
    How do you get started on a new coding project?

Best Programming Resources: https://topmate.io/coding/886839

Join for more: https://t.iss.one/programming_guide

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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computer graphics.pdf
80.8 MB
๐Ÿ’ป Computer Graphics Handwritten Notes ๐Ÿ“ ๐ŸŒŸ

React โค๏ธ for more ๐Ÿ“ฑ
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Python vs C++ vs Java
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Full stack Project Ideas ๐Ÿ’ก
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๐Ÿ”ฐ MongoDB Roadmap for Beginners 2025
โ”œโ”€โ”€ ๐Ÿง  What is NoSQL? Why MongoDB?
โ”œโ”€โ”€ โš™๏ธ Installing MongoDB & MongoDB Atlas Setup
โ”œโ”€โ”€ ๐Ÿ“ฆ Databases, Collections, Documents
โ”œโ”€โ”€ ๐Ÿ” CRUD Operations (insertOne, find, update, delete)
โ”œโ”€โ”€ ๐Ÿ” Query Operators ($gt, $in, $regex, etc.)
โ”œโ”€โ”€ ๐Ÿงช Mini Project: Student Record Manager
โ”œโ”€โ”€ ๐Ÿงฉ Schema Design & Data Modeling
โ”œโ”€โ”€ ๐Ÿ“‚ Embedding vs Referencing
โ”œโ”€โ”€ ๐Ÿ” Indexes & Performance Optimization
โ”œโ”€โ”€ ๐Ÿ›ก Data Validation & Aggregation Pipeline
โ”œโ”€โ”€ ๐Ÿงช Mini Project: Analytics Dashboard (Aggregation + Filters)
โ”œโ”€โ”€ ๐ŸŒ Connecting MongoDB with Node.js (Mongoose ORM)
โ”œโ”€โ”€ ๐Ÿงฑ Relationships in NoSQL (1-1, 1-Many, Many-Many)
โ”œโ”€โ”€ โœ… Backup, Restore, and Security Best Practices

#mongodb
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๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ
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Artificial Intelligence & ChatGPT Prompts pinned ยซ๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ Master the most in-demand AI skill in todayโ€™s job market: building autonomous AI systems. In Ready Tensorโ€™s free, project-first program, youโ€™ll create three portfolio-ready projects using ๐—Ÿ๐—ฎ๐—ป๐—ด๐—–๐—ต๐—ฎ๐—ถ๐—ปโ€ฆยป
For those who feel like they're not learning much and feeling demotivated. You should definitely read these lines from one of the book by Andrew Ng ๐Ÿ‘‡

No one can cram everything they need to know over a weekend or even a month. Everyone I
know whoโ€™s great at machine learning is a lifelong learner. Given how quickly our field is changing,
thereโ€™s little choice but to keep learning if you want to keep up.
How can you maintain a steady pace of learning for years? If you can cultivate the habit of
learning a little bit every week, you can make significant progress with what feels like less effort.


Everyday it gets easier but you need to do it everyday โค๏ธ
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TYPES OF DOMAIN NAME
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To join Microsoft as a Data Engineer or Software Development Engineer (SDE), here are the key skills you should focus on preparing:

1. Programming Languages
- Python: Essential for data manipulation and ETL tasks.
- SQL: Strong command over writing queries for data retrieval, manipulation, and performance tuning.
- Java/Scala: Important for working with big data frameworks and building scalable systems.


2. Big Data Technologies
- Apache Hadoop: Understanding of distributed data storage and processing.
- Apache Spark: Experience with batch and real-time data processing.
- Kafka: Knowledge of data streaming technologies.


3. Cloud Platforms
- Microsoft Azure: Especially services like Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Blob Storage.
- AWS or Google Cloud: Familiarity with cloud infrastructure is valuable, but Azure expertise will be a plus.


4. ETL Tools and Data Pipelines
- Understanding how to build and manage ETL (Extract, Transform, Load) pipelines.
- Knowledge of tools like Airflow, Talend, Azure Data Factory, or similar platforms.


5. Databases and Data Warehousing
- Relational Databases: MySQL, PostgreSQL, SQL Server.
- NoSQL Databases: MongoDB, Cassandra, DynamoDB.
- Data Warehousing: Familiarity with tools like Snowflake, Redshift, or Azure Synapse.


6. Version Control and CI/CD
- Git: Proficient in version control systems.
- Continuous Integration/Continuous Deployment (CI/CD): Familiarity with Jenkins, GitHub Actions, or Azure DevOps.


7. Data Modeling and Architecture
- Experience in designing scalable data models and database architectures.
- Understanding Data Lakes and Data Warehouses concepts.


8. System Design & Algorithms
- Knowledge of data structures and algorithms for solving system design problems.
- Ability to design large-scale distributed systems, an important part of the interview process.


9. Analytics Tools
- Power BI or Tableau: Useful for data visualization.
- Pandas, NumPy for data manipulation in Python.


10. Problem-Solving and Coding
Focus on practicing on platforms like LeetCode, HackerRank, or Codeforces to improve problem-solving skills, which are critical for technical interviews.


11. Soft Skills
- Collaboration and Communication: Working in teams and effectively communicating technical concepts.
- Adaptability: Ability to work in a fast-paced and evolving technical environment.


By preparing in these areas, you'll be in a strong position to apply for roles at Microsoft, especially in data engineering or SDE roles. Keep Learning!!
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