24 Sept 2026, 19:09 UTC754 views4 reactionsread 27 September 2026 Video
GigaChat 3.5 Reasoning is a new open-source LLM designed to reason before generating responses. The model breaks problems into stages, builds execution plans, checks intermediate results, and self-corrects when needed.
Built on GigaChat 3.5 Ultra, it was trained on math and coding tasks using multiple step-by-step reasoning paths. An automated verification step reinforces the paths that lead to correct answers, enab…
❤4
23 Sept 2026, 19:19 UTC999 views8 reactionsread 27 September 2026 Understanding Popular ML Algorithms:
1️⃣ Linear Regression: Think of it as drawing a straight line through data points to predict future outcomes.
2️⃣ Logistic Regression: Like a yes/no machine - it predicts the likelihood of something happening or not.
3️⃣ Decision Trees: Imagine making decisions by answering yes/no questions, leading to a conclusion.
4️⃣ Random Forest: It's like a group of decision trees workin…
❤8
22 Aug 2026, 12:17 UTC≈3,960 views12 reactionsread 27 September 2026 How to Become a Data Analyst from Scratch! 🚀
Whether you're starting fresh or upskilling, here's your roadmap:
➜ Master Excel and SQL - solve SQL problems from leetcode & hackerank
➜ Get the hang of either Power BI or Tableau - do some hands-on projects
➜ learn what the heck ATS is and how to get around it
➜ learn to be ready for any interview question
➜ Build projects for a data portfolio
➜ And you don't need to d…
❤12
20 Aug 2026, 14:44 UTC≈3,770 views7 reactionsread 27 September 2026 Video
🚀 Top Python Careers You Should Know
🐍 Python Developer
🤖 AI / Machine Learning Engineer
📊 Data Scientist
📈 Data Analyst
🌐 Backend Developer
☁️ Cloud & DevOps Engineer
🔒 Cybersecurity Engineer
🧠 Automation Engineer
Python isn't just one skill—it's a gateway to multiple high-paying careers.
❤7
13 Aug 2026, 11:19 UTC≈4,330 views14 reactionsread 27 September 2026 📊 Python for Data Science – Complete Beginner Roadmap 🐍🚀
🔹 What is Data Science?
Data Science is about: Collecting data Cleaning it Analyzing it Finding insights Making predictions
👉 Example:
- Predict sales 📈
- Analyze customer behavior 🛒
- Detect fraud 💳
🧭 Step-by-Step Roadmap
🔹 1️⃣ Strengthen Python Basics
Focus on: Lists, dictionaries Loops & conditions Functions Basic file handling
👉 Because data is handl…
❤14
11 Aug 2026, 11:09 UTC≈3,080 views4 reactionsread 27 September 2026 🔥 Python Interview Concept You MUST Know: List Comprehensions
📌 The most important patterns:
🔹 Basic List Comprehension → Create a new list in a single line
🔹 Conditional Filtering → Keep only the elements that match a condition
🔹 If-Else Expression → Transform values based on a condition
🔹 Nested List Comprehension → Work with 2D lists and matrices
🔹 Dictionary Comprehension → Create dictionaries efficiently
…
❤4
8 Aug 2026, 21:16 UTC≈3,180 views15 reactionsread 27 September 2026 🚀 Python Roadmap for Data Analytics 🐍📊🔥
🧠 STEP 1: Learn Python Basics
✔ Variables & Data Types
✔ Loops & Functions
✔ Lists, Tuples & Dictionaries
✔ File Handling
✔ Exception Handling
🛠 Tools to Learn:
✔ Jupyter Notebook
✔ Visual Studio Code
📊 STEP 2: Learn Data Handling
✔ Reading CSV & Excel Files
✔ Data Cleaning
✔ Handling Missing Values
✔ Data Transformation
🛠 Libraries to Learn:
✔ Pandas
✔ NumPy
📈 STEP 3: Lea…
❤15
2 Aug 2026, 20:05 UTC≈3,550 views16 reactionsread 27 September 2026 ✅ Data Analytics Roadmap for Freshers 🚀📊
1️⃣ Understand What a Data Analyst Does
🔍 Analyze data, find insights, create dashboards, support business decisions.
2️⃣ Start with Excel
📈 Learn:
– Basic formulas
– Charts & Pivot Tables
– Data cleaning
💡 Excel is still the #1 tool in many companies.
3️⃣ Learn SQL
🧩 SQL helps you pull and analyze data from databases.
Start with:
– SELECT, WHERE, JOIN, GROUP BY
🛠️ Practice…
❤15👏1
31 Jul 2026, 19:04 UTC≈3,150 views10 reactionsread 27 September 2026 ✅ Top Python Libraries for Data Analytics & AI 🧠📊
If you're working in data science, machine learning, or AI, these Python libraries are essential. Each one plays a specific role — from handling data to building deep learning models.
🔹 1. NumPy
Core library for numerical computations.
⦁ Supports arrays, matrices, and high-performance math functions.
⦁ Foundation for most other data libraries.
import numpy as np
…
❤10
30 Jul 2026, 12:38 UTC≈2,880 views4 reactionsread 27 September 2026 Photo
XRPPower 3rd Anniversary Celebration Announcement
Since its official launch on July 25, 2023, XRPPower has consistently adhered to a service philosophy of security, stability, and efficiency, providing high-quality digital asset management services to users worldwide. As of July 25, 2026, the platform has been operating stably for three years, with over 3 million registered users globally and a service network cover…
❤4
30 Jul 2026, 12:37 UTC≈2,490 viewsread 27 September 2026 Ad 👇
25 Jul 2026, 19:03 UTC≈3,630 views12 reactionsread 27 September 2026 Complete roadmap to learn Python for data analysis
Step 1: Fundamentals of Python
1. Basics of Python Programming
- Introduction to Python
- Data types (integers, floats, strings, booleans)
- Variables and constants
- Basic operators (arithmetic, comparison, logical)
2. Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
- List comprehensions
3. Functions and Mod…
❤12
Showing the 12 most recent of 19 posts we hold for @pythonanalyst. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.