How to Migrate Python 2 Applications to Python 320190926093038
How to Migrate Python 2 Applications to Python 3
September 26, 20192to3, activepython, activestate platform, python 2 eol, python migration, python programming, python-future, six
Porting code from an older version of Python to a newer version can be a difficult and intimidating process. This blog compares and provides examples ...
Creating Python Dashboards: Dash vs Bokeh20190919093606
Creating Python Dashboards: Dash vs Bokeh
September 19, 2019activepython, activestate platform, bokeh, dash, dashboarding, python programming
Modern data collection processes can lead to the creation of very large datasets, which makes it difficult to effectively analyze data in a quick and ...
Flask vs Django: Comparing REST API Creation20190912100052
Flask vs Django: Comparing REST API Creation
September 12, 2019activepython, activestate platform, API creation, django, flask, python programming
In the web-driven world that we currently live in, APIs are king, and when it comes to Python, there are two popular choices for building a scalable, ...
How to Clean Machine Learning Datasets Using Pandas20190829100032
How to Clean Machine Learning Datasets Using Pandas
August 29, 2019activepython, activestate platform, data analysis, machine learning, python programming
The first step in any machine learning project is typically to clean your data. In this post, we show you how to cleanse data using Python and Pandas....
TensorFlow Optimization Showdown: ActiveState vs. Anaconda20190821105140
TensorFlow Optimization Showdown: ActiveState vs. Anaconda
August 21, 2019activepython, data science, machine learning, tensorflow
TensorFlow has become one of the most popular machine learning software packages among data scientists. It was originally developed for internal use a...
Comparing Decision Tree Algorithms: Random Forest vs. XGBoost20190814131732
Comparing Decision Tree Algorithms: Random Forest vs. XGBoost
August 14, 2019activepython, algorithms, machine learning, python
Random Forest and XGBoost are two popular decision tree algorithms for machine learning. In this post I’ll take a look at how they each work, compare ...
Exploratory Data Analysis using Python20190801100448
Exploratory Data Analysis using Python
August 1, 2019activepython, activestate platform, data analysis, machine learning, python programming
Exploratory Data Analysis (EDA) is a type of storytelling for statisticians. In this post, we show you how to conduct EDA using Python and Pandas to s...
Python 3.7: Gains that Eliminate Pains20180802214501
Python 3.7: Gains that Eliminate Pains
August 2, 2018activepython, activepython downloads
In development for 10 months, Python 3.7 has just been released. For long time Python users, it’s a welcome addition, providing many quality of life e...
Machine Learning – The New Cornerstone of Digital Transformation20180502172132
Machine Learning – The New Cornerstone of Digital Transformation
May 2, 2018activepython, ai, artificial intelligence, data science, machine learning, ml
Artificial Intelligence (AI), and more pragmatically, Machine Learning (ML) have been called the new electricity that’s powering the Fourth Indu...
Options for Deploying Machine Learning Algorithms to AWS20180117190038
Options for Deploying Machine Learning Algorithms to AWS
January 17, 2018activepython, Amazon, ami, aws, machine learning, python, SageMaker
AWS is a great place for accessing scalable, cheap resources on which to deploy data models. However, actually using AWS for this purpose can be chall...