William Siu

I like Rugby.

[William Siu @CFAcodes]

MLOPS World 2022

There are good workshops and talks. Join us!

https://t.co/wqpZJd1eqV

[Matt Harrison @__mharrison__]

12 Day Giveaway! 🎁

In this thread, I will be giving a course, book, or workshop for the next 12 days. 📚🏫⌨

To enter, just retweet the daily tweet. At the end of the day I will select one (or more) of the retweeters. 📅

[William Siu @CFAcodes]

Day 50 of #66DaysofData with
@KenJee_DS

#Kubernetes #GoogleCloudLearn
I have done the Deployment training of Kubernetes on GCP today. It is interesting to see how to scale up and down the number of Pods in the deployment.

[William Siu @CFAcodes]

Day 49 of #66DaysofData with
@KenJee_DS

#Graph #Algorithm
I have watched @TreforBazett's video on graph theory today.

https://t.co/W1UmQz0vkV

[William Siu @CFAcodes]

Day 48 of #66DaysofData with
@KenJee_DS

#Python #Pandas
I am reading @__mharrison__Matt Effective Pandas Book.
https://t.co/DNbCZvW1cE

[William Siu @CFAcodes]

Day 47 of #66DaysofData with
@KenJee_DS

#Kubernetes #GoogleCloud
I completed Google Cloud Fundamentals: Core Infrastructure! Check out my certificate https://t.co/Qq4RRz0cuQ #Coursera

[William Siu @CFAcodes]

Day 46 of #66DaysofData with
@KenJee_DS

#Kubernetes #GoogleCloud
I have started my learning of Kubernetes on GCP and created a web server.

[William Siu @CFAcodes]

Day 45 of #66DaysofData with
@KenJee_DS

#visualization #pythonprogramming
The data source is St Louis Fed. Are you expecting higher inflation in the dollar economy?

[William Siu @CFAcodes]

Day 44 of #66DaysofData with
@KenJee_DS

https://t.co/Qm6TQHgKIk

[William Siu @CFAcodes]

Day 43 of #66DaysofData with
@KenJee_DS

To access the GCP training, Google Qwiklabs has required me to use Icognito mode on Chrome. However, it doesn't work until I have created a new user account on my Mac. What an experience!

#GoogleCloud

[William Siu @CFAcodes]

Day 42 of #66DaysofData with
@KenJee_DS

(cont'd) Lambda functions work for scalar (line 10) but not vectors (line 9). You can make it work with more complex code. However, I recommend the form (line 11) - more readable, easy to maintain.

#coding #visualization # Python

[William Siu @CFAcodes]

Day 41 of #66DaysofData with
@KenJee_DS

When you convert legacy Excel into Python, there will be a lot of vectorisation. I would show you that in Pandas, you can do simple operations in vectorisation (line 8).

#coding #visualization # Python

[William Siu @CFAcodes]

Day 40 of #66DaysofData with
@KenJee_DS

It is easy to combine lambda function and loc[] in Python. This receipe offers excellent control of the pivot table generation compared to Excel. It is scalable for multiple subgroups.

#coding #visualization # Python

[William Siu @CFAcodes]

Day 39 of #66DaysofData with
@KenJee_DS

In excel, we use reference methods to group sums and proportion. In Python, we could use the loc function to locate a group and then make reference to the columns for sums.

#coding #visualization # Python

[William Siu @CFAcodes]

Day 38 of #66DaysofData with
@KenJee_DS

This is Florence Nightingale's visualization of her data on the causes of mortality in 1855. She was a pioneer in statistics.

#coding #visualization

[William Siu @CFAcodes]

Day 37 of #66DaysofData with
@KenJee_DS

Statisticians call these the Datasaurus Dozen datasets. They have 12 different patterns but have the same summary statistics. The takeaway is: always try to visualise your data but not just read the summary.

#Coding #visualisation

[William Siu @CFAcodes]

Day 36 of #66DaysofData with
@KenJee_DS

The NHANES dataset gives a very beautiful violin plot about the BMI of male and female in various age groups.

#Coding #Python #visualisation

[William Siu @CFAcodes]

Day 35 of #66DaysofData with
@KenJee_DS

From the last post, the inputs and outputs are plotted in Seaborn.
#Coding #Python #visualisation

[William Siu @CFAcodes]

Day 34 of #66DaysofData with
@KenJee_DS

I have built a function to normalise two lists of arbitrary range with Scikit Learn functions. The function transforms the lists into an array for fitting and then publishes the result in a data frame.
#Coding #Python #visualisation

[William Siu @CFAcodes]

Day 33 of #66DaysofData with
@KenJee_DS

This is solar dataset @kaggle . It has lots of features to practise Pandas. This table shows that although Sun is massive, its density is only slightly higher than Jupiter. The chart visualises this.

#Coding #Python #visualisation