Data Analytics A-Z 🔥1

🎯 GigaChat 3.5 Reasoning: 5 Key Features 1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct 2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps 3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch 4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems 5️⃣ Proven Performance: Open-source LLM (built on GigaChat 3.5 Ultra) with massive benchmark gains: • IFBench: 44 → 77 •

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 random number_to_guess = random.randint(1, 100) guess = None attempts = 0 print("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(