Посты за август 2026

🧮 Euler’s Formula in Python Projects: https://amzn.to/4y1tO2L

Generalized Bhattacharyya and Chernoff Upper Bounds on Bayes Error Using Quasi-Arithmetic Means The paper covers: Bayesian classification and Bayes error Bhattacharyya upper bounds Chernoff information Quasi-arithmetic means Statistical divergences and affinity coefficients Applications to Cauchy and multivariate t-distributions 👉 Download / Read the Free PDF: https://www.clcoding.com/2026/08/generalized-bhattacharyya-and-chernoff.html

🐍 7 Essential Python Libraries for Data Professionals 📊 Want to build a career in Data Analytics, Data Science, or Machine Learning? Learning Python is only the beginning. You also need to know the right libraries to work with real-world data. 🚀 Here are 7 essential Python libraries worth learning: 1️⃣ Pandas — Clean, transform, and analyze datasets 2️⃣ NumPy — Numerical computing and multidimensional arrays 3️⃣ Matplotlib — Create powerful data visualizations 4️⃣ Seaborn — Build beautiful statistical charts 5️⃣ OpenPyXL — Read, write, and automate Excel files 6️⃣ Scikit-learn — Build and evaluate Machine Learning models 7️⃣ Requests — Work with APIs and collect data from the web 💡 Together, these libraries can help you move through a typical data workflow: Collect → Clean → Analyze → Visualize → Model → Automate 🎯 Want to learn these skills? Data Analysis with Python https://www.clcoding.com/2024/03/data-analysis-with-python.html

September 2026 Bootcamp | Python with Data Science Syllabus https://www.clcoding.com/2026/08/september-data-science-bootcamp.html

Google Data Analytics Professional Certificate is a beginner-friendly program designed to help learners build job-ready data analytics skills. It requires no prior degree or experience and can typically be completed in 3–6 months. 📊 Google Data Analytics Professional Certificate What you’ll learn: Data cleaning & preparation Data analysis SQL Spreadsheets / Google Sheets Tableau & data visualization R programming Data storytelling Data ethics Case-study development AI-assisted analytics skills Level: Beginner Duration: ~3–6 months Format: 100% online, self-paced Certificate: Shareable professional certificate 👉 View the Google Data Analytics Professional Certificate https://www.clcoding.com/2025/04/google-data-analytics-professional.html If you're building a Data Analytics / Data Science learning roadmap, this is a strong starting point before moving into Python, statistics, machine learning, and advanced analytics.

Guide to NumPy: 2nd Edition (Free PDF) Detailed Explanation: https://www.clcoding.com/2026/07/guide-to-numpy-2nd-edition-free-pdf.html