How to Automate Python for Visual Studio Code20230316142657

How to Automate Python for Visual Studio Code

Pete GarcinLast Updated: March 16, 2023python, Python interpreter, python programming, Python runtimes, Visual Studio Code, VS Code
Setting up Python projects in VS Code just got a lot easier with the ability to automatically switch between interpreters. Learn how....
Why pipenv > venv20181016154501

Why pipenv > venv

Pete GarcinLast Updated: November 13, 2019platform, python packages
Pipenv was first released as an experiment way back in January of 2017 by Kenneth Reitz. Even though pipenv is a package that attempts to marry the be...
Golang Module vs Dep: Pros & Cons20180928154812

Golang Module vs Dep: Pros & Cons

Pete GarcinLast Updated: November 13, 2019activego, dependencies, golang
The Golang (Go) community is a passionate one. That passion results in excellent discussions and lots of great ideas, especially when it comes to impr...
OSCON 2018: Distributed Apps & Composability20180809180358

OSCON 2018: Distributed Apps & Composability

Pete GarcinLast Updated: March 13, 2019cloud applications, kubernetes, open source convention
Image source: www.flickr.com The 20th anniversary of the O’Reilly Open Source Convention (OSCON) brought a few surprises with it. The dominance ...
Python 3.7: Gains that Eliminate Pains20180802214501

Python 3.7: Gains that Eliminate Pains

Pete GarcinLast Updated: June 28, 2019activepython, 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...
Data is the foundation of your ML strategy20180412020008

Data is the foundation of your ML strategy

Pete GarcinLast Updated: July 12, 2019data science, machine learning, ml
When getting started with machine learning (ML) you need data — and lots of it. Data really forms the foundation of your machine learning strate...
Reproducible Builds: Introducing predictability into your pipeline20180301160604

Reproducible Builds: Introducing predictability into your pipeline

Pete GarcinLast Updated: March 13, 2019activego, go, Go language, Go pipelines, golang, open source code, reproducible builds
*This blog has been republished from ActiveState’s Medium Blog. Can your build pipeline perfectly reproduce a build including its critical bug t...
Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask20180110210017

Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask

Pete GarcinLast Updated: April 11, 2022activepython, flask, machine learning, python
In my last post I surveyed the growing array of options for deploying your ML models into production. In this post, we’ll create a demo to see how sim...
Operationalizing Machine Learning20171129140000

Operationalizing Machine Learning

Pete GarcinLast Updated: July 19, 2019ai, cloud, machine learning, ml, model training, python
Machine Learning (ML) powers an increasing number of the applications and services that we use daily. For organizations who are beginning to leverage ...
Optimizing Machine Learning with TensorFlow20171122140120

Optimizing Machine Learning with TensorFlow

Pete GarcinLast Updated: July 19, 2019activepython, intel, intel mkl, machine learning, python
In our webinar “Optimizing Machine Learning with TensorFlow” we gave an overview of some of the impressive optimizations Intel has made to TensorFlow ...
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