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How fast can Rust make Python?

I'm a staff engineer working with Python, Clojure, and all the DevOps technologies.

The Python community is abuzz with excitement about better async support.

In the last part we covered all the fundamental techniques in writing macros.

In the last part we covered the very basics of macros and implemented a single argument query select.

Macros are required to do some very helpful things in Rust, but this isn't an article about any of those things.

One of the most misused data structures is the humble map; hashmap, dictionary, hash table, etc.

I recently took over the maintenance of an open source Clojure project.

Distrobox is the single piece of software that completely changed the way I work.

DRY has become a mantra throughout the industry.

I recently started a new job that gave me the chance to run whatever Linux distribution would make me the most productive.

When I started using lisp, I came from the world of modern dependency managers (npm, pip, maven, and the like).

In Part 2 we got a taste of using returns and created our first model methods.

In Part 1 of this series, we looked at how to setup a python project with types, setup our project, and used some basic types.

Django is a great framework for web development.

Hy introduces a List that gives you all the power of macros and the elegant Lisp syntax while enabling the full power of Python.

Engineers want to measure the quality and effectiveness of their work.

A few months ago, Gabriel Gonzalez wrote an excellent article on creating useful tools with Haskell.

Creating hierarchy in a blog is a useful technique.

Serverless functions are a great alternative for many light tasks that would traditionally required a server.

React and Redux are a top choice for front end projects.

At a summer barbecue, a friend asked if I could build a website for his new restaurant.

Every line of code you write is a liability.

JavaScript dependencies are notoriously hard to mock and test across framework and environments.

A good development environment will boost your productivity in any language.

I really loved lodash.

Rails has great capabilities for working CSV files.

Haskell is notoriously difficult to setup, which probably led to many people being scared away from ever getting started.