The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

The Future of Python : Here’s What’s Coming & Trends You Can’t Ignore

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.
Visual Studio Magazine

Logistic Regression Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...

Hunan Paisen Qihang Network Technology Co., Ltd.: Capability Blueprint and Planning for Advanced Python Developers

If we say that the junior and intermediate stages are about "refining skills," then the advanced stage of Python is about ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Search Engine Land

Here’s how I used Python to build a regression model using an e-commerce dataset

If you want to advance your data science skill set, Python can be a valuable tool for SEOs to generate deep data insights to help your brand. The programming language of Python is gaining popularity ...
InfoWorld

The best Python libraries for parallel processing

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...