🎯 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
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85

🔗 MIT License. Weights on Hugging Face:  fp8 | bf16

✅ Python Basics: Part-1

Data Types & Variables 🐍📚

🎯 What is a Variable? 
A variable stores data in memory to be used and modified later. 
Example: 
name = "Alice" 
age = 25 
🔹 Common Python Data Types: 

● String (str) – Text data 
message = "Hello, World" 
● Integer (int) – Whole numbers 
count = 42 
● Float (float) – Decimal numbers 
price = 19.99 
● Boolean (bool) – True or False 
is_valid = True 
● List (list) – Ordered, mutable sequence 
fruits = ["apple", "banana", "cherry"] 
● Tuple (tuple) – Ordered, immutable sequence 
coords = (10.5, 20.7) 
● Set (set) – Unordered collection of unique elements 
colors = {"red", "green", "blue"} 
● Dictionary (dict) – Key-value pairs 
person = {"name": "Alice", "age": 25} 
🔑 Dynamic Typing: 
Python automatically detects the type, so you don’t need to declare it.

💬 Double Tap ❤️ for Part-2!

🚀 Python Basics Part 2 🐍🔥

Control Flow in Python

Now that you know Python basics, it’s time to make programs smarter using conditions and loops. 💻

In this part, you’ll learn:

✅ if-else Statements

✅ Loops

✅ break & continue

✅ Nested Conditions

🧠 1. if Statement in Python

"if" is used to check conditions.

Example:

age = 18

if age >= 18:
    print("Eligible")

📌 Output:

Eligible

✔ The code runs only if the condition is True.

🔀 2. if-else Statement

Used when there are two possible outcomes.

Example:

number = 5

if number % 2 == 0:
    print("Even Number")
else:
    print("Odd Number")

📌 Output:

Odd Number

⚡ 3. if-elif-else Ladder

Used for multiple conditions.

Example:

marks = 75

if marks >= 90:
    print("Grade A")
elif marks >= 70:
    print("Grade B")
else:
    print("Grade C")

📌 Output:

Grade B

🔁 4. for Loop in Python

"for" loop repeats code multiple times.

Example:

for i in range(5):
    print(i)

📌 Output:

0

1

2

3

4

✔ "range(5)" generates numbers from 0 to 4.

🔄 5. while Loop in Python

"while" loop runs until a condition becomes False.

Example:

count = 1

while count <= 5:
    print(count)
    count += 1

📌 Output:

1

2

3

4

5

⛔ 6. break Statement

"break" stops the loop immediately.

Example:

for i in range(10):
    if i == 5:
        break

    print(i)

📌 Output:

0

1

2

3

4

⏭ 7. continue Statement

"continue" skips the current iteration.

Example:

for i in range(5):
    if i == 2:
        continue

    print(i)

📌 Output:

0

1

3

4

🧩 8. Nested Conditions

Conditions inside another condition.

Example:

age = 20
has_id = True

if age >= 18:
    if has_id:
        print("Entry Allowed")

📌 Output:

Entry Allowed

🛠 Practice Programs

✅ Even/Odd Checker

✅ Multiplication Table

✅ Number Guessing Game

✅ Countdown Timer

✅ Grade Calculator

🔥 Common Beginner Mistakes

❌ Wrong indentation

❌ Infinite loops

❌ Forgetting ":" after conditions

❌ Using "=" instead of "=="

💡 Pro Tip

✔ First understand logic

✔ Then write syntax

Programming is more about thinking than memorizing.

📅 What to Learn Next?

➡ Functions

➡ Lambda Functions

➡ Recursion

➡ Modules & Imports

📌 Double Tap ❤️ For Part-3

🐍 Build Video Generation Apps with Kandinsky 6.0 Video
 
Kandinsky 6.0 Video is out — an open-source lineup (MIT license) for creating videos with synchronized sound: the flagship Pro (29B) and the lightweight Lite (3B), which runs even on consumer GPUs. Perfect for Python developers building creative applications.
 
💡 Project ideas:
• Content creation platform
• Educational video generator
• Marketing automation tool
• ASMR content creator
• Meme animator
 
🔧 Integration guide:
The model works with popular Python libraries:
 

# Available on:
- Diffusers
- FastVideo 
- ComfyUI
- SGLang
- vLLM-omni

 
No need to write integration from scratch — plug directly into existing products.
 
📋 Technical specs:
• Input: text prompt or first frame + audio description
• Output: Full HD video with synchronized sound
• Duration: up to 5 seconds
• Audio: 44 kHz quality
• Features: lip-sync, realistic physics, ambient sounds
• GPU: Lite runs on 16–32 GB VRAM (RTX 5060 Ti to 5090)
 
📦 License: MIT (free for commercial use)
 
🎯 Use cases:
• Social media content
• Product demonstrations
• Educational materials
• Creative prototyping
 
🔗 Hugging Face

✈️ Flight cancelled. Connection missed. What does your AI agent do?

Build the agent that checks flights, reads the policy and recommends the right option.

That's one of the capstone projects in the Certification in Agentic AI by Vishlesan i-Hub, IIT Patna.

✅ 4 Months | Online | 10 hrs/week | Live classes
✅ 6+ course projects, 15+ tools
✅ Learn Python, RAG, LangChain, LangGraph & FastAPI
✅ Placement assistance for 1 year, plus resume review & interview coaching by Masai*

📅 Qualifier Test: 25th Oct
Test fee: ₹29

🔗 https://tinyurl.com/aff-iitp-agai

*Eligibility: 7+ CGPA and 65% attendance

10 Steps to Landing a High Paying Job in Data Analytics

1. Learn SQL - joins & windowing functions is most important

2. Learn Excel- pivoting, lookup, vba, macros is must

3. Learn Dashboarding on POWER BI/ Tableau

4. ⁠Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries

5. ⁠Know basics of descriptive statistics

6. ⁠With AI/ copilot integrated in every tool, know how to use it and add to your projects

7. ⁠Have hands on any 1 cloud platform- AZURE/AWS/GCP

8. ⁠WORK on atleast 2 end to end projects and create a portfolio of it

9. ⁠Prepare an ATS friendly resume & start applying

10. ⁠Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those.

Give more interview to boost your chances through consistent practice & feedback 😄👍