Top popular Zsh plugins on GitHub (2021)

November 29, 2021

There is an exhaustive but curated list of Zsh plugins posted on GitHub project Awesome Zsh plugins. You can find there 1800+ links to plugins, themes and Zsh plugin managers/frameworks. Even though it is a collection of awesome stuff, the number is a bit high to get orientation which plugins gained already good reputation from Zsh users community. In this post I will identify most popular plugins - those which have the highest number of stars.


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Interactive plots for blogging

September 13, 2021

Using Plotly, Bokeh and Altair for interactive visualizations in the blog posts


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Data Science Command line Tools

August 23, 2019

Description of GNU utils and other less standard tools that helps with processing data from CLI or with shell scripts.


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Finding the spy - post on Markov Chains and stochastic matrices

August 10, 2019

Using puzzle on tracing the high profile spy as excuse to showcase Markov Chains and demonstrate usage and properties e.g. Stationary distribution


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Top popular Zsh plugins on GitHub (2019)

July 14, 2019

On Github project Awesome Zsh plugins you can find 1700+ links to plugins, themes and Zsh plugin managers/frameworks. The number of tools listed on that page is high and it is difficult to get orientation which plugins gained already good reputation from Zsh users community. This post aims at identifying most popular tools where popularity is measured with the number of stars that Github users added to given plugin or tool.


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Learn Bayesian methods in 4 steps - by reading and by doing

July 09, 2019

This post propose 4-steps path for learning Byesian methods. First step is goint through the book: “Bayesian methods for hackers”, second, use complementary books for probability and statistics, third, read How to become a Bayesian in eight easy steps: An annotated reading list”, and last, go throught the book full of exercises: “Think Bayes”.


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Kaggle evaluation metrics used for regression problems

February 16, 2019

This post describe evaluation metrics used in Kaggle competitions where problem to solve is has regression nature. Eight different metrics are described, namely: Absolute Error (AE), Mean Absolute Error (MAE), Weighted Mean Absolute Error (WMAE), Pearson Correlation Coefficient, Spearman’s Rank Correlation, Root Mean Squared Error (RMSE), Root Mean Squared Logarithmic Error (RMSLE), Mean Columnwise Root Mean Squared Error (MCRMSE).


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How to install TensorFlow and Keras on Windows 10

January 17, 2019

Guide on how to install TensorFlow cpu-only version - the case for machines without GPU supporting CUDA. Step-by-step procedure starting from creating conda environment till testing if TensorFlow and Keras Works.


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Darwin Approach to Traveling Salesman

January 12, 2019

Can evolutionary approach crash the problem that brute forcing will last far more that the age of universe? This post shows how to attack Traveling Salesman Problem using Darwin approach. I’m describing evolution model and design decisions. See the animation how the population was evolving through the epochs.


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How to organize Data Science project based on Jupyter notebook

January 05, 2019

Having several notebook-based projects behind you might result in mess in projects directory. Organize your Data Science project based on Jupyter notebooks in a way that one can navigate through it. Especially that “the one” will be most probably you in few months time. To achieve that: keep your projects’ directory clean, name the project in a descriptive way and take care of internal structure of the project.


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What’s cooking

April 05, 2018

Exploratory Data Analysis of the Kaggle’s “What’s cooking” competition dataset to get understanding what kind of data we are dealing with and get intuition of existing dependencies.


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