The AWS Rekognition API is a mature tool suitable for interpreting screen captures. Explore OCR techniques to build a dataset from image files with Python. read more

Master Django models, a core concept of the popular web framework. Dive into advanced topics, like how the Active Record pattern works for Django’s ORM systems. read more

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

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

Master Django templates with these best practices for Django project structure, inheritance, querysets, and URL namespacing. read more

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

Dive into a comprehensive overview of statistical modeling using Python’s top data science libraries: Matplotlib, Seaborn, SciPy, Statsmodels, Scikit-learn, and NumPy. read more

Learn how type hinting in Python 3.5+ (a relatively new feature) allows developers to benefit from type checking tools alongside native dynamic behavior. read more

Learn how to do time series analysis with the pandas library in Python. Apply common time series analyses to Amazon's stock data. read more

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

Do I need a custom Django User model? No, but use one anyway. Setting up a custom Django model from the onset can save you big headaches as your application grows and evolves. read more

In this post, you'll learn how to use Pandas groupby, counts, and value_counts on your Pandas DataFrames for fast and powerful data manipulation. read more

Preparatory steps in the Machine Learning workflow are demonstrated with Python's Numpy, Scikit, and OpenCV by sorting pixels from a microscope image. read more

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

VS Code is a free and open source code editor developed by Microsoft. With the Python extension, VS Code can be a powerful, feature-rich editor. read more

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

Learn how to pivot your Pandas DataFrames to reshape and aggregate your data. This post includes walkthrough examples on the Pandas pivot and pivot_table methods. read more

Perform sorting functions in the Pandas DataFrame. Learn Pandas sort_values and sort_index., plus 7 top use cases with examples. read more

Prepare your Django app for production like an expert with this guide. Learn how to manage environments with the DJANGO_SETTINGS_MODULE, plus configure your app for production. read more

Here's a Python-centric roundup of ten essential data science packages, when to use them, and what you need to do to get started with them. read more

Use Django REST Framework to take your great Django project to the next level by providing RESTful APIs with very little effort read more

Working with Pandas often requires combining different datasets. See how to combine DataFrames with Pandas merge, concat, and join. read more

Flask allows Python developers to enable API functionality in existing Flask applications using decorator syntax and conditional request handling. Learn and create Flask RESTful APIs today. read more

Django forms have significant functionality that can get you going quickly – particularly if you generate them from your models by using ModelForm. read more

Get to know the Django staticfiles app and learn how to set up your Django templates for quicker development and better maintainability. read more

Python excels at flat-file writing and manipulation, especially when handling data from online data sources. read more

Scrapy is a Python package for web scraping that allows developers to extract and parse unstructured data from websites. read more

Learn how to quickly get set up with installing Django in your programming environment to get your first web app live in no time! read more

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

When websites haven't exposed APIs, use Python's BeautifulSoup package to gather data directly from HTML. read more

Learn when, why and how to use Pandas DataFrames for data analysis with Python. You'll learn basics of how to create, inspect, and manipulate a DataFrame. read more

Flask and Django are popular Python web frameworks with some key differences. Learn about the differences, like how each framework handles forms, databases, and authentication. read more

Learn about the best Python IDEs and why today’s leading Python developers use IDEs and code editors to code faster and better. read more

Django is an immensely popular and powerful web framework for Python. Use Django to build a fully featured site using existing libraries and tools. read more

The Atom text editor is an open-source product of GitHub known for customization, extensibility, and git integration. read more

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

Python for loops are control statements that allow repeated execution of tasks, and are distinguished in Python by more readable usage. read more

Decorators are a rich and expressive feature of the Python language which allows wrapping one behavior transparently with another. read more

List Comprehensions in Python are a Pythonic, readable, and intuitive way to quickly generate and transform Lists from existing data structures. read more

Python's built-in interface to regex allows string manipulation and matching based on syntactically defined patterns. read more

SQLAlchemy is a powerful Python relational database tool. I’ll walk through how to implement a tree in Python using SQLAlchemy and PostgreSQL Ltree. read more

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

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

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

The power available with Python string formatting options like str.format() and F-strings give any Python programmer many options to format strings. read more

I use the powerful Flask library for Python to create a webapp to control my 3D Printed QR Code software. read more

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

Functional programming is framework for thinking about logical flows to make code predictable and easy, while maintaining simplicity and idiomaticity. read more

Exploratory Data Analysis - EDA - plays a critical role in understanding the what, why, and how of the problem statement read more

It’s as good a time to be writing code as ever – these days, a little bit of code goes a long way. Just a single function is capable of performing incredible things. Thanks to GPUs, Machine Learning, the Cloud, and Python, it’s is easy to create “turbocharged” command-line tools. read more

In this post, I'll share a few design principles for APIs that can solve even the most complex UI problems. read more

Python is the fastest-growing programming language out there. That isn’t surprising given that it’s simple, easy to use, free, and applicable for many computing tasks. Data scientists in particular have embraced Python’s efficient syntax, learnability, and easy integrations with other languages such as C and C++. read more

In this post, I'll walk through some use cases for web scraping, highlight the most popular open source packages, and walk through an example project to scrape publicly available data on Github. read more

I document my journey using Python and its Natural Language ToolKit in my first experience with the digital humanities, as I analyze a question about European Gothic literature using a large data set and simple computational tools. read more

In this tutorial, I use the Python library Click to build a command line interface (CLI) for functions from my previous project to generate a 3D QR code for my WIFI password read more

In this first blog post I detail how I generate a QR code using Python, then how to build 3D printable blocks and, finally, how to convert that model into a file 3D printers can read. read more