Kite — The Smart Copilot for Developers

Kite launches JavaScript completions to help automate away repetitive boilerplate and save developers from syntax errors.

We’re thrilled to announce Kite’s Python integration for Spyder, the popular open-source IDE for scientists, engineers, and data analysts.

Use SMOTE and the Python package, imbalanced-learn, to bring harmony to an imbalanced dataset.

Learn the interface Django exposes for custom authentication and how to use it to authenticate against an external system.

Learn how Django’s ORM manages Django database migrations in this comprehensive guide.

Dive into a comprehensive overview of statistical modeling using Python’s top data science libraries.

Data scientists walk a fine line. Technological advances are often countered by specific concerns, like gender bias and privacy.

We demonstrate using Python’s Numpy, Scikit, and OpenCV by sorting pixels from a microscope image.

Artificial Neural Networks allow data scientists to model the behavior of biological neurons, enabling a wide range of machine learning…

Learn the basic pieces of Django authentication and how they work together to get you up and running with users.

Flask allows Python developers to enable API functionality in Flask applications using decorator syntax and conditional request handing.

The SQLAlchemy ORM allows manipulating relational databases with idiomatic Python and is used as a database backend for Flask applications.

Pandas is a high-performance, open-source data-analysis library for Python, which allows speedy transformation and aggregation of data.

Matplotlib is a Python plotting package providing a high level API for data visualization through interactive and hardcopy backends.

PyCharm is a popular IDE for Python developed by JetBrains. Here are some tips to install and configure PyCharm on your machine.

Functional programming helps you think about logical flows to make code predictable and easy, while maintaining simplicity and…

Performant. Nested. Mutable. Python dictionaries are invaluable data structures that let us store values by name, rather than by position.

Learn the basics of machine learning and neural networks, and test out your skills with a simple tutorial using Keras.

Exploratory Data Analysis — EDA — plays a critical role in understanding the what, why, and how of a problem statement.

Welcome to the future of programming.

It’s easy to turbocharge Python using command line tools incorporating GPU parallelization, JIT, core saturation, and Machine Learning.

The principles of User Interface Design teach us that great APIs make simple tasks easy, complex use cases possible, and mistakes…

We’ll use python web scraping techniques to profile a Github page, set up a scraper, and run the results.

Learn the top Machine Learning libraries for Python with code examples for TensorFlow, Therano, Caffe, PyTorch, and Sci-Kit Learn.