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🎯 GigaChat 3.5 Reasoning: 5 Key Features1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems5️⃣ Proven Performance: Open-source LLM (built on GigaChat 3.5 Ultra) with massive benchmark gains:• IFBench: 44 → 77• Natural Plan: 64 → 80• LiveCodeBench v6: 56 → 85🔗 MIT License. Weights on Hugging Face: fp8 | bf16

Let’s dive into our first mini project using Python:Project 1: Number Guessing Game 🎯Goal: The computer randomly picks a number between 1 and 100.The user has to guess it — and the program gives hints like “Too High” or “Too Low” until the user gets it right.Code:import randomnumber_to_guess = random.randint(1, 100)guess = Noneattempts = 0print("Welcome to the Number Guessing Game!")print("I'm thinking of a number between 1 and 100.")while guess != number_to_guess: guess = int(input("Enter your guess: ")) attempts += 1 if guess < number_to_guess: print("Too low! Try again.") elif guess > number_to_guess: print("Too high! Try again.") else: print(f"Congratulations! You guessed it in {attempts} tries.")Concepts used:• random.randint() for generating numbers• Taking user input using input() & converting input to integers• Using while loops and if-else logicReact with ♥️ for the next projectImportant Python Concepts: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1441For all resources and cheat sheets, check out our Telegram channel 👇👇 https://t.me/pythonprozHope it helps :)

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Roadmap to become a data analyst 1. Foundation Skills:•Strengthen Mathematics: Focus on statistics relevant to data analysis.•Excel Basics: Master fundamental Excel functions and formulas.2. SQL Proficiency:•Learn SQL Basics: Understand SELECT statements, JOINs, and filtering.•Practice Database Queries: Work with databases to retrieve and manipulate data.3. Excel Advanced Techniques:•Data Cleaning in Excel: Learn to handle missing data and outliers.•PivotTables and PivotCharts: Master these powerful tools for data summarization.4. Data Visualization with Excel:•Create Visualizations: Learn to build charts and graphs in Excel.•Dashboard Creation: Understand how to design effective dashboards.5. Power BI Introduction:•Install and Explore Power BI: Familiarize yourself with the interface.•Import Data: Learn to import and transform data using Power BI.6. Power BI Data Modeling:•Relationships: Understand and establish relationships between tables.•DAX (Data Analysis Expressions): Learn the basics of DAX for calculations.7. Advanced Power BI Features:•Advanced Visualizations: Explore complex visualizations in Power BI.•Custom Measures and Columns: Utilize DAX for customized data calculations.8. Integration of Excel, SQL, and Power BI:•Importing Data from SQL to Power BI: Practice connecting and importing data.•Excel and Power BI Integration: Learn how to use Excel data in Power BI.9. Business Intelligence Best Practices:•Data Storytelling: Develop skills in presenting insights effectively.•Performance Optimization: Optimize reports and dashboards for efficiency.10. Build a Portfolio:•Showcase Excel Projects: Highlight your data analysis skills using Excel.•Power BI Projects: Feature Power BI dashboards and reports in your portfolio.11. Continuous Learning and Certification:•Stay Updated: Keep track of new features in Excel, SQL, and Power BI.•Consider Certifications: Obtain relevant certifications to validate your skills.

🐍 Python Roadmap1️⃣ Basics: 📝📜 Syntax, Variables, Data Types2️⃣ Control Flow: 🔄🤖 If-Else, Loops, Functions3️⃣ Data Structures: 🗂️🔢 Lists, Tuples, Dictionaries, Sets4️⃣ OOP in Python: 📦🎭 Classes, Inheritance, Decorators5️⃣ File Handling: 📄📂 Read/Write, JSON, CSV6️⃣ Modules & Libraries: 📦🚀 NumPy, Pandas, Matplotlib7️⃣ Web Development: 🌍🔧 Flask, Django, FastAPI8️⃣ Automation & Scripting: 🤖🛠️ Web Scraping, Selenium, Bash Scripting9️⃣ Machine Learning: 🧠📈 TensorFlow, Scikit-learn, PyTorch🔟 Projects & Practice: 📂🎯 Create apps, scripts, and contribute to open sourceReact ❤️ for more

🔰 Comprehensions in python with example

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✅ Complete Roadmap to Learn Python Programming 🐍💻 Week 1: Python Basics • Install Python and VS Code • Learn variables, data types, input, output • Practice arithmetic and string operations • Write 10 small programs Example: Calculator, temperature converter Week 2: Control Flow • Learn if, else, elif • Learn for and while loops • Use break and continue • Solve 20 logic problems Example: Number guessing game Week 3: Data Structures • Lists, tuples, sets, dictionaries • Indexing, slicing, methods • Loop through collections • Solve real problems Example: Student marks analysis Week 4: Functions and Modules • Define functions • Use parameters and return values • Learn lambda functions • Import built-in modules Example: Reusable math utility Week 5: Strings and File Handling • String methods and formatting • Read and write files • Handle CSV and text files • Build small file-based programs Example: Log file analyzer Week 6: Error Handling and Debugging • Learn try, except, finally • Understand common errors • Use print and debugger • Fix broken programs Example: Robust input validator Week 7: Object-Oriented Programming • Classes and objects • Constructors and methods • Inheritance and encapsulation • Build simple class-based apps Example: Bank account system Week 8: Standard Libraries • datetime, math, random • os and sys basics • Work with JSON • Write utility scripts Example: Automated folder organizer Week 9: Working with External Packages • Learn pip and virtual environments • Use requests library • Basic API calls • Handle API responses Example: Weather app using API Week 10: Data Handling Basics • Intro to NumPy • Intro to Pandas • Read CSV and Excel files • Basic data cleaning Example: Sales data summary Week 11: Mini Projects • Build 2 small projects • Focus on logic and structure • Write clean, readable code Examples: • To-do list app • Expense tracker Week 12: Final Project and Revision • Build one end-to-end project • Revise core concepts • Practice interview-style questions Example projects: • Simple automation tool • Data analysis mini project Daily Rule for You: • Code at least 60 minutes • Solve 5 problems daily • Rewrite old code weekly Double Tap ♥️ For Detailed Explanation

🔰 Comprehensions in python with example

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Here are some tricky🧩 SQL interview questions!1. Find the second-highest salary in a table without using LIMIT or TOP.2. Write a SQL query to find all employees who earn more than their managers.3. Find the duplicate rows in a table without using GROUP BY.4. Write a SQL query to find the top 10% of earners in a table.5. Find the cumulative sum of a column in a table.6. Write a SQL query to find all employees who have never taken a leave.7. Find the difference between the current row and the next row in a table.8. Write a SQL query to find all departments with more than one employee.9. Find the maximum value of a column for each group without using GROUP BY.10. Write a SQL query to find all employees who have taken more than 3 leaves in a month.These questions are designed to test your SQL skills, including your ability to write efficient queries, think creatively, and solve complex problems.Here are the answers to these questions:1. SELECT MAX(salary) FROM table WHERE salary NOT IN (SELECT MAX(salary) FROM table)2. SELECT e1.* FROM employees e1 JOIN employees e2 ON e1.manager_id = (link unavailable) WHERE e1.salary > e2.salary3. SELECT * FROM table WHERE rowid IN (SELECT rowid FROM table GROUP BY column HAVING COUNT(*) > 1)4. SELECT * FROM table WHERE salary > (SELECT PERCENTILE_CONT(0.9) WITHIN GROUP (ORDER BY salary) FROM table)5. SELECT column, SUM(column) OVER (ORDER BY rowid) FROM table6. SELECT * FROM employees WHERE id NOT IN (SELECT employee_id FROM leaves)7. SELECT *, column - LEAD(column) OVER (ORDER BY rowid) FROM table8. SELECT department FROM employees GROUP BY department HAVING COUNT(*) > 19. SELECT MAX(column) FROM table WHERE column NOT IN (SELECT MAX(column) FROM table GROUP BY group_column)Here you can find essential SQL Interview Resources👇https://t.me/mysqldataLike this post if you need more 👍❤️ Hope it helps :)

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15 Best Project Ideas for Python : 🐍🚀 Beginner Level:1. Simple Calculator2. To-Do List3. Number Guessing Game4. Dice Rolling Simulator5. Word Counter🌟 Intermediate Level:6. Weather App7. URL Shortener8. Movie Recommender System9. Chatbot10. Image Caption Generator🌌 Advanced Level:11. Stock Market Analysis12. Autonomous Drone Control13. Music Genre Classification14. Real-Time Object Detection15. Natural Language Processing (NLP) Sentiment Analysis

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🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐞𝐥𝐭 𝐢𝐦𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐚𝐭 𝐟𝐢𝐫𝐬𝐭, 𝐛𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟗 𝐬𝐭𝐞𝐩𝐬 𝐜𝐡𝐚𝐧𝐠𝐞𝐝 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠!..1️⃣ 𝐌𝐚𝐬𝐭𝐞𝐫𝐞𝐝 𝐭𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬: Started with foundational Python concepts like variables, loops, functions, and conditional statements.2️⃣ 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐝 𝐄𝐚𝐬𝐲 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬: Focused on beginner-friendly problems on platforms like LeetCode and HackerRank to build confidence.3️⃣ 𝐅𝐨𝐥𝐥𝐨𝐰𝐞𝐝 𝐏𝐲𝐭𝐡𝐨𝐧-𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬: Studied essential problem-solving techniques for Python, like list comprehensions, dictionary manipulations, and lambda functions.4️⃣ 𝐋𝐞𝐚𝐫𝐧𝐞𝐝 𝐊𝐞𝐲 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Explored popular libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.5️⃣ 𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Built small projects like a to-do app, calculator, or data visualization dashboard to apply concepts.6️⃣ 𝐖𝐚𝐭𝐜𝐡𝐞𝐝 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬: Followed creators like CodeWithHarry and Shradha Khapra for in-depth Python tutorials.7️⃣ 𝐃𝐞𝐛𝐮𝐠𝐠𝐞𝐝 𝐑𝐞𝐠𝐮𝐥𝐚𝐫𝐥𝐲: Made it a habit to debug and analyze code to understand errors and optimize solutions.8️⃣ 𝐉𝐨𝐢𝐧𝐞𝐝 𝐌𝐨𝐜𝐤 𝐂𝐨𝐝𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬: Participated in coding challenges to simulate real-world problem-solving scenarios.9️⃣ 𝐒𝐭𝐚𝐲𝐞𝐝 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭: Practiced daily, worked on diverse problems, and never skipped Python for more than a day.I have curated the best interview resources to crack Python Interviews 👇👇https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0LHope you'll like it Like this post if you need more resources like this 👍❤️#Python

🔰 Python functions

If you work with Python, remember a simple rule: do not modify a list while iterating over it. 🐍🛑 This can lead to unexpected results because the iterator does not track structural changes.Here is an example that looks logical but works incorrectly: 🤔items = [1, 2, 2, 3, 4]for item in items: if item == 2: items.remove(item)print(items)# Output: [1, 2, 3, 4]It seems that all 2s should disappear, but one remains. ❓ Why?After removing an element, the list shifts, but the loop moves on — as a result, some values are simply skipped. 🔄🚫How to do it correctly — iterate over a copy: ✅for item in items[:]: if item == 2: items.remove(item)print(items)# Output: [1, 3, 4]Even better — use list comprehension: 🚀items = [x for x in items if x != 2]Conclusion: 🏁 do not modify a collection during iteration. This can lead to skipped elements, duplication, or even errors during execution. 🛠️🚧#Python #Coding #Programming #Debugging #TechTips #PythonTips

Python Basics Arrays & Loops 🐍Essential you need to start strong 💪

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