PYPL Language Rankings: Python ranks #1, R at #7 in popularity

The new PYPL Popularity of Programming Languages (June 2018) index ranks Python at #1 and R at #7. Like the similar TIOBE language index, the PYPL index uses Google search activity to rank language popularity. PYPL, however, fcouses on people searching for tutorials in the respective languages as a proxy for popularity. By that measure, Python has always been more popular than R (as you’d expect from a more general-purpose language), but both have been growing at similar rates. The chart below includes the three data-oriented languages tracked by the index (and note the vertical scale is logarithmic). Another language ranking was also released recently: the annual KDnuggets Analytics, Data Science and Machine Learning Poll. These rankings, however, are derived not from search trends but by self-selected poll respondents, which perhaps explains the presence of Rapidminer at the #2 spot.
Original Post: PYPL Language Rankings: Python ranks #1, R at #7 in popularity

Step Forward Feature Selection: A Practical Example in Python

[unable to retrieve full-text content]When it comes to disciplined approaches to feature selection, wrapper methods are those which marry the feature selection process to the type of model being built, evaluating feature subsets in order to detect the model performance between features, and subsequently select the best performing subset.
Original Post: Step Forward Feature Selection: A Practical Example in Python

Generating Text with RNNs in 4 Lines of Code

[unable to retrieve full-text content]Want to generate text with little trouble, and without building and tuning a neural network yourself? Let’s check out a project which allows you to “easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.”
Original Post: Generating Text with RNNs in 4 Lines of Code

The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?

[unable to retrieve full-text content]We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.
Original Post: The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?

Overview of Dash Python Framework from Plotly for building dashboards

[unable to retrieve full-text content]Introduction to Dash framework from Plotly, reactive framework for building dashboards in Python. Tech talk covers basics and more advanced topics like custom component and scaling.
Original Post: Overview of Dash Python Framework from Plotly for building dashboards