Example Project Template: Serve a Scikit-learn Model via a Flask API
27 Jun 2018 Full (albeit simple) example on how to create a simple Flask API to serve predictions using a pre-trained scikit-learn model. Includes supporting features such as logging, error handling, input validation, etc. Full code available on Github.
Default Permissions for Users, Directories and Files on Linux: Examples
23 Jun 2018 Set default permissions for all files/directories created by a user on Linux using umask. Additionally, use Access Control Lists (ACLs) for all files and directories created under a given directory too.
Read More ›Add Labels and Text to Matplotlib Plots: Annotation Examples
23 Jun 2018 Examples on how to add simple annotations and labels to your matplotlib plots.
Read More ›How to Structure Software Projects: Python Example
22 Jun 2018 Here are a couple of templates to structure software projects. You need to think about structure because it is the single largest threat to your codebase as your project grows from small to medium-largish size. If you neglect to maintain project structure you risk having your project suffer death by entropy.
Read More ›Crypto Asset Overview: Ravencoin
16 Jun 2018 Short overview with the least you need to know about Ravencoin and the RVN token.
Pandas Dataframe: Union and Concat Examples
14 Jun 2018 Emulate SQL union and union all behaviour, among other stuff.
Read More ›Pandas Dataframe: Replace Examples
14 Jun 2018 Call the replace method on Pandas dataframes to quickly replace values in the whole dataframe, in a single column, etc.
Read More ›Crypto Asset Overview: 0x Project and the ZRX Token
05 Jun 2018 Short overview with the least you need to know about the 0x protocol
Latex Image Examples: Sizing, Positioning, Captioning, etc
03 Jun 2018 Examples on how to work with images on LaTeX and platforms that support it, such as ShareLaTeX and Overleaf.
Read More ›Evaluation Metrics for Regression Problems: Quick examples + Reference
26 May 2018 Regression problems are evaluated against specific metrics that analyze whether the residuals (difference between actual and predicted values) indicate that a fitted model is a good fit for the data. Here are some of the most commonly-used metrics in that domain.
Read More ›