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*How to master Python from scratch๐* 1. Setup and Basics ๐ ย ย - Install Python ๐ฅ๏ธ: Download Python and set it up. ย ย - Hello, World! ๐: Write your first Hello World program. 2. Basic Syntax ๐ ย ย - Variables and Data Types ๐: Learn about strings, integers, floats, and booleans. ย ย - Control Structures ๐: Understand if-else statements, for loops, and while loops. ย ย - Functions ๐ ๏ธ: Write reusable blocks of code. 3. Data Structures ๐ ย ย - Lists ๐: Manage collections of items. ย ย - Dictionaries ๐: Store key-value pairs. ย ย - Tuples ๐ฆ: Work with immutable sequences. ย ย - Sets ๐ข: Handle collections of unique items. 4. Modules and Packages ๐ฆ ย ย - Standard Library ๐: Explore built-in modules. ย ย - Third-Party Packages ๐: Install and use packages with pip. 5. File Handling ๐ ย ย - Read and Write Files ๐ ย ย - CSV and JSON ๐ 6. Object-Oriented Programming ๐งฉ ย ย - Classes and Objects ๐๏ธ ย ย - Inheritance and Polymorphism ๐จโ๐ฉโ๐ง 7. Web Development ๐ ย ย - Flask ๐ผ: Start with a micro web framework. ย ย - Django ๐ฆ: Dive into a full-fledged web framework. 8. Data Science and Machine Learning ๐ง ย ย - NumPy ๐: Numerical operations. ย ย - Pandas ๐ผ: Data manipulation and analysis. ย ย - Matplotlib ๐ and Seaborn ๐: Data visualization. ย ย - Scikit-learn ๐ค: Machine learning. 9. Automation and Scripting ๐ค ย ย - Automate Tasks ๐ ๏ธ: Use Python to automate repetitive tasks. ย ย - APIs ๐: Interact with web services. 10. Testing and Debugging ๐ ย ย ย - Unit Testing ๐งช: Write tests for your code. ย ย ย - Debugging ๐: Learn to debug efficiently. 11. Advanced Topics ๐ ย ย ย - Concurrency and Parallelism ๐ ย ย ย - Decorators ๐ and Generators โ๏ธ ย ย ย - Web Scraping ๐ธ๏ธ: Extract data from websites using BeautifulSoup and Scrapy. 12. Practice Projects ๐ก ย ย ย - Calculator ๐งฎ ย ย ย - To-Do List App ๐ ย ย ย - Weather App โ๏ธ ย ย ย - Personal Blog ๐ 13. Community and Collaboration ๐ค ย ย ย - Contribute to Open Source ๐ ย ย ย - Join Coding Communities ๐ฌ ย ย ย - Participate in Hackathons ๐ 14. Keep Learning and Improving ๐ ย ย ย - Read Books ๐: Like "Automate the Boring Stuff with Python". ย ย ย - Watch Tutorials ๐ฅ: Follow video courses and tutorials. ย ย ย - Solve Challenges ๐งฉ: On platforms like LeetCode, HackerRank, and CodeWars. 15. Teach and Share Knowledge ๐ข ย ย ย - Write Blogs โ๏ธ ย ย ย - Create Video Tutorials ๐น ย ย ย - Mentor Others ๐จโ๐ซ

*Here are 20 unique project ideas* ๐จ๐ปโ๐ป๐๐ป ๐ Web development projects: โข Trading website (Upstox Clone) โข Grocery Delivery Website (BlinkIt Clone) โข Khatabook Clone โข Video Calling Platform (Google Meet) โข Lost Items Finder Portal ๐ Machine Learning Projects: โข AI Assistant/Chatbots (ex: Alexa) โข Text to Image Generator (ex: DALL-E) โข Speech enhancer (ex: Adobe Podcast) โข AI Talking English tutor for beginners โข Housing price analyser ๐ Data Science Projects: โข Product lowest Price Detector โข Best time to buy/sell stocks analyser โข Climate detection for farmers โข Market analysis for a specific product ๐ Cyber Security Projects: โข Customised Firewalls โข Virtual network using Python โข Malware Detector for PC ๐ Blockchain Projects: โข e-voting using blockchain โข Blockchain Social Media โข NFT Marketplace

*Delta: Full Stack Web Development Course By Apna College* *Download Links:* *Day 1 to Day 32:* `https://drive.google.com/drive/folders/1vB6ra0uYfPYfeyEwGklfRbo61lsJEORK?fbclid=IwAR0rRoiY3L7gTQvvaMtJb` *Day 32 to Day 63:* `https://drive.google.com/drive/folders/1eM71dPcg-Mi0NcOnX6_dhrke5NMUvhaq`

*Front-End Development Interview Topics* HTML & CSS ๐น Semantic HTML ๐น CSS Pre-Processors ๐น CSS Specificity ๐น Resetting & Normalizing CSS ๐น CSS Architecture ๐น SVGs ๐น Media Queries ๐น CSS Display Property ๐น CSS Position Property ๐น CSS Frameworks ๐น Pseudo Classes ๐น Sprites JavaScript ๐น Event Delegation ๐น Attributes vs Properties ๐น Ternary Operators ๐น Promises vs Callbacks ๐น Single Page Application ๐น Higher-Order Functions ๐น == vs === ๐น Mutable vs Immutable ๐น 'this' ๐น Prototypal Inheritance ๐น IFE (Immediately Invoked Function Expression) ๐น Closure ๐น Null vs Undefined ๐น OOP vs Map ๐น .call & .apply ๐น Hoisting ๐น Objects ๐น Scope ๐น JS Frameworks Data Structures and Algorithms ๐น Linked Lists ๐น Hash Tables ๐น Stacks ๐น Queues ๐น Trees ๐น Graphs ๐น Arrays ๐น Bubble Sort ๐น Binary Search ๐น Selection Sort ๐น Quick Sort ๐น Insertion Sort Front-End Topics ๐น Performance ๐น Unit Testing ๐น End-to-End Testing (E2E) ๐น Web Accessibility ๐น CORS ๐น SEO ๐น REST ๐น APIs ๐น HTTP/HTTPS ๐น GitHub ๐น Task Runners ๐น Browser APIs

*What is a Data Structure?* A data structure is a way of organizing and storing data so it can be accessed and worked with efficiently. If algorithms are recipes, then data structures are the containers that hold the ingredients โ each designed for a specific purpose. *Why Do We Need Data Structures?* - To store data in a meaningful way - To perform operations like search, insert, delete quickly - To optimize performance in coding interviews and real-world apps *Types of Data Structures:* Here are some common ones youโll master in this series: - Array: A collection of items stored in a contiguous block of memory. Used when the number of elements is fixed and you need fast access by index. - List: A collection that can store elements in any order and allows dynamic resizing (more flexible than arrays). Python lists are a great example. - Stack: A collection of elements where you can only add or remove elements from the top (LIFO โ Last In, First Out). - Queue: A collection where elements are added at the back and removed from the front (FIFO โ First In, First Out). - Linked List: A collection of nodes where each node points to the next one. Great for dynamic memory allocation and efficient insertions/deletions. - HashMap (or Hash Table): Stores data in key-value pairs, allowing for fast lookups by key. - Tree: A hierarchical structure where data is stored in nodes connected by edges, useful for representing hierarchical data like file systems. - Graph: A collection of nodes (vertices) and edges that represent relationships, often used for networks and paths. Data structures are a key part of coding interviews. The right data structure for the task can make your code more efficient in terms of speed and memory, which is what interviewers are looking for when they ask you to solve problems.

*Physics Wallah is hiring Full Stack Developer* For 2021, 2022, 2023 grads Location: Noida https://docs.google.com/forms/d/e/1FAIpQLSen_eYX7x0qRL0t-jo6YbyDOu4zILD1KpaZuAhVymduDYSNzw/viewform

*What is a Deadlock?* *Example: Two People with One Pen and One Notebook* *Scenario* : โข Two people: Alice and Bob โข They both need one pen and one notebook to write. โข Only 1 pen and 1 notebook are available. *What Happens:* Alice picks up the pen. Bob picks up the notebook. *Now:* โขAlice is waiting for the notebook (held by Bob). โขBob is waiting for the pen (held by Alice). โขNeither can write, because both are holding one item and waiting for the other. *Result* : Both people are stuck. This is a deadlock โ neither can proceed unless one voluntarily gives up what they are holding. *Deadlock is a condition where a set of processes are blocked because each process is holding at least one resource and waiting for another resource that is held by another process in the same set.*

*8 Open-source Free Flutter Dashboard and Admin Panel Templates* *1- Smart Admin Panel & Dashboard* https://github.com/deniscolak/smart-admin-dashboard *2- Flutter Admin Kit* https://github.com/smartnuance/flutter-admin-kit *3- Admin panel/dashboard* https://github.com/thegera4/web_admin_dashboard_flutter *4- Flutter Dashboard Template* https://github.com/HanySameh/Flutter-Dashboard-Template *5- Responsive Admin Panel or Dashboard - Flutter UI* https://github.com/Maple0905/Flutter-Admin-Panel *6- Fitness App Dashboard UI* https://github.com/vijayinyoutube/dashboard *7- Flutter responsive dashboard / admin panel UI* https://github.com/Dinesh-Sowndar/flutter_responsive_dashboard_admin_panel_ui *8- Admin Dashboard Template* https://github.com/Acacurs/flutter_admin_dashboard

*American Express Recent Interview Insights for a Data Analyst Position(0-3 Years):* SQL Questions 1. Write a query to find duplicate rows in a table. 2. Explain the difference between INNER JOIN and OUTER JOIN with examples. 3. Write a query to fetch the second-highest salary from an employee table. 4. How do you use GROUP BY and HAVING together? Provide an example. 5. Write a query to find employees earning more than their managers. 6. What is a window function in SQL? Provide examples of ROW_NUMBER and RANK. 7. Write a query to fetch the top 3 performing products based on sales. 8. Explain the difference between UNION and UNION ALL. 9. How do you use a CASE statement in SQL? Provide an example. 10. Write a query to calculate the cumulative sum of sales. 11. What is a CTE (Common Table Expression), and how is it used? 12. Write a query to identify customers who have made transactions above $5,000 multiple times. 13. Explain the difference between DELETE and TRUNCATE commands. 14. How do you optimize SQL queries for better performance? 15. Write a query to find all customers who have not made any purchases in the last 6 months. 16. How do you handle NULL values in SQL? Provide examples. 17. Write a query to transpose rows into columns. 18. Explain indexing and how it improves query performance. 19. Write a query to fetch the maximum transaction amount for each customer. 20. What is a self-join, and how is it used? Data Analysis/Scenario-Based Questions 21. How would you design a database to store credit card transaction data? 22. Write a query to identify the most profitable regions based on transaction data. 23. How would you analyze customer churn using SQL? 24. Explain the difference between OLAP and OLTP databases. 25. How would you determine the average revenue per user (ARPU) from transaction data? 26. Describe a scenario where you would use a LEFT JOIN instead of an INNER JOIN. 27. Write a query to calculate YoY (Year-over-Year) growth for a set of transactions. 28. How would you implement fraud detection using transactional data? 29. Write a query to find customers who have used more than 2 credit cards for transactions in a given month. *Behavioral and Business Questions* 30. How would you approach a business problem where you need to analyze the spending patterns of premium customers?