When it comes to file parsing or data preprocessing, what would be the first programming language that comes to your mind?

It might be Python, R, or some other similar scripting languages. Granted, these modern and high-level languages are very powerful and empower us to achieve our goals usually in less than a few dozens of lines of codes. However, Linux Shell commands seem to be a forgotten pearl because it is relatively old syntax and less intuitive tutorials online.

In this article, I am going to let you get a flavor about how Shell command can be super powerful…

ScPyT

As a data scientist or machine learning practitioner, how good is your linear algebra?

No matter you have a positive or negative answer to this question, hopefully, after reading this post and practicing a bit, you will be able to grasp most of the Linear Algebra you need to know for your day-to-day work.

Well… I know it may sound a bit exaggerating, how is that possible? The reason is, we do not need to know or actually calculate everything by hand. Off-the-shelf packages like Python Numpy or Matlab have already done a lot of hard work for us underneath…

ScPyT

I recently started a hard task — — reading the whole Numpy documentation, in particular, the API reference of the latest release of the Numpy module (1.19). The reason for doing that is simple, I am a bioinformatics PhD student and my research focus on developing computational tools in a wide spectrum of biological problems. As my project progress, I found out that my lack of knowledge of Numpy greatly hinders my ability to quickly and accurately find optimal solutions and I wasted a huge amount of time searching for certain commands on, Stackoverflow, as an example. …

Let’s talk about the Pandas package.

When you browse through Stackoverflow or reading blogs on Toward Data Science, have you ever encountered some super elegant solutions (maybe just one line) that can replace your dozens of lines codes (for loop, functions)?

I encountered that kind of situation a lot, and I was often like, “Wow, I didn’t know this function can be used in this way, TRULY amazing!” Different people will have different excitement point for sure, but I bet these moments have occurred to your before if you ever work in the applied data science field.

However, one thing…

python-visualization-tutorial

This is my last tutorial for my python visualization series:

1. The tutorial I: Fig and Ax object
2. Tutorial II: Line plot, legend, color
3. Tutorial III: box plot, bar plot, scatter plot, histogram, heatmap, colormap
4. Tutorial IV: violin plot, dendrogram
5. Tutorial V: Plots in Seaborn (cluster heatmap, pair plot, dist plot, etc)

You don’t need to read all previous posts, and this one would be a bit separated from my last four articles. I am going to show you a head-to-head comparison between the matplotlib library and the Seaborn library in python.

As I alluded to in my tutorial I, I…

python-visualization-tutorial

This is the fourth tutorial of my python visualization series,

1. The tutorial I: Fig and Ax object
2. Tutorial II: Line plot, legend, color
3. Tutorial III: box plot, bar plot, scatter plot, histogram, heatmap, colormap
4. Tutorial IV: violin plot, dendrogram
5. Tutorial V: Plots in Seaborn (cluster heatmap, pair plot, dist plot, etc)

Let’s have a short intro this time, this article just resumes from where Tutorial III left off. The reason I want to write a separate article for the Violin plot and dendrogram is that they are a little bit involved compared to the previously-covered plot types. …

Hands-On Tutorials

This is my third tutorial, here’s a list of all my previous posts and the ones I am going to post very soon:

1. The tutorial I: Fig and Ax object
2. Tutorial II: Line plot, legend, color
3. Tutorial III: box plot, bar plot, scatter plot, histogram, heatmap, colormap
4. Tutorial IV: violin plot, dendrogram
5. Tutorial V: Plots in Seaborn (cluster heatmap, pair plot, dist plot, etc)

Why I make this tutorial? What’s the reason you need to spend your precious time reading this article? I want to share the most critical thing about learning matplotlib, which is understanding the building block of…

python-visualization-tutorial

This is the second article of my python visualization tutorial: making publication-quality figures. Here is a list of articles I have posted so far and will post soon:

1. The tutorial I: Fig and Ax object
2. Tutorial II: Line plot, legend, color
3. Tutorial III: box plot, bar plot, scatter plot, histogram, heatmap, colormap
4. Tutorial IV: violin plot, dendrogram
5. Tutorial V: Plots in Seaborn (cluster heatmap, pair plot, dist plot, etc)

If you haven’t checked the tutorial I, I recommend doing that first before proceeding with reading this article. …