Python

Build smarter programs with the power of neural networks and the simplicity of Python

Build practical solutions to control LEDs, make music and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC Micro Bit

This book enables students to use Python to implement modern data science techniques for business decisions as well as research.

Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with PyQt and PySide2.

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate

Understand basic to advanced deep learning algorithms by implementing them from scratch, along with their practical applications

Implementing next-generation data sequencing for biological research and genomics

Explore the potential of deep learning techniques in computer vision applications using Python ecosystem

A case study approach to successful data science projects using Python, pandas, and scikit-learn

Identify where to apply unsupervised machine learning and how to do it in Python. Find meaning in unlabeled data through Python-based unsupervised machine learning.

To write the machine learning and deep learning applications that create your business edge