Mastering the Art of Programming in Python 3

The Hacker's Guide to Scaling Python

The Hacker's Guide to Scaling Python

Learn about Python's scalability, concurrency, and distribution via CPU scaling, event loops, queue-based distribution, and building REST APIs to optimize and deploy high-performance applications.

Applied Machine Learning: Deep Learning for Industry

Applied Machine Learning: Deep Learning for Industry

Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.

Feature Engineering for Machine Learning

Feature Engineering for Machine Learning

Hands-On Generative Adversarial Networks with PyTorch

Hands-On Generative Adversarial Networks with PyTorch

In this GAN course, learn GAN fundamentals and PyTorch. Explore DCGANs, conditional GANs, image translations, and text-to-image synthesis to master advanced skills for real-world applications.

Matplotlib for Python: Visually Represent Data with Plots

Matplotlib for Python: Visually Represent Data with Plots

Gain insights into visually representing data with Matplotlib in Python. Explore plotting techniques, control axes, create complex layouts, and draw various plots, enhancing your data science skills.

Python for Scientists and Engineers

Python for Scientists and Engineers

Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.

Machine Learning with NumPy, pandas, scikit-learn, and More

Machine Learning with NumPy, pandas, scikit-learn, and More

Learn practical machine learning with NumPy, pandas, scikit-learn, and more. Learn data analysis, feature engineering, and deep learning using industry-standard frameworks. Basic Python required.