Engineering for Data Science

Writing about data engineering | data science | machine learning engineering | @

[Towards Data Science @TDataScience]

Unit testing PySpark code using Pytest by @e4datascience https://t.co/Yy1ZNP27ZM

[Towards Data Science @TDataScience]

13 Tips for using PyTest by @e4datascience https://t.co/xRs8URnEj2

[Cedric Beust @cbeust]

The problem with dynamically typed languages is that they favor the developer who writes the code at the expense of the person who will maintain it. This is exactly the opposite of what we want.

[Towards Data Science @TDataScience]

Why and How to Set Up Logging for Python Projects by @e4datascience https://t.co/vtASNodMDk

[Engineering for Data Science @e4datascience]

Python's logging library is very powerful but can take a while to get your head around. Here is a simple guide to set up logging for your Python projects.
https://t.co/2FXDAnouHv
#Python #DataScience

[Engineering for Data Science @e4datascience]

@LilAdonise I found improving my typing speed really helped my programming... even wrote an article about it, with some tips for getting better! https://t.co/A7G3JIcNKe

[Engineering for Data Science @e4datascience]

Tired of typing `%autoreload` at the top of *all* your Jupyter notebooks and iPython sessions?

Add this to your iPython config 👇
https://t.co/PSn6PJuO3L

#python #pythonprogramming #ipython

[Towards Data Science @TDataScience]

. @e4datascience instructs on how to increase your productivity and user experience in the terminal by installing some key plugins. https://t.co/5nSAps3DVg

[Engineering for Data Science @e4datascience]

Spent the weekend analysing my Google Search Console data. Crazy how much granular data is available to analyse via the API🤯

If you have a blog and know #python, this one is for you: https://t.co/rHc7vH20nj

#analysis #google #SEO

[Towards Data Science @TDataScience]

"I never used to worry too much about the readability of my code. I cared that I could read it during development, but I never gave much consideration to whether I would still be able to read it in 6 months time."

Read more from @e4datascience here.
https://t.co/0lWFegVTvj

[Towards Data Science @TDataScience]

Reproducible ML: Maybe you shouldn’t be using Sklearn’s train_test_split by @e4datascience
https://t.co/dCx9zyTDer

[Engineering for Data Science @e4datascience]

Engineering For Data Science just reached 10k monthly visitors! 🥳

My thoughts after one year of blogging: https://t.co/ny3S2hdhYK

#blogging #growth #python #datascience

[Engineering for Data Science @e4datascience]

One of the best ways to deliver more impactful visualisations for stakeholders is to add a headline caption.
Here's how you can do it with #matplotlib using: plt.suptitle
https://t.co/1vIVrOJwof

#DataScience #Python

[Towards Data Science @TDataScience]

"There is not a more productive or versatile tool for developers to use — the terminal is the Swiss Army Knife of the developers’ tool kit."

Read more from @e4datascience's latest post. https://t.co/5nSAps3DVg

[lak lakshmanan @lak_luster]

The ability to store your data on Google Cloud Storage and still get row/column-level security as you would get with BigQuery native storage is yuge.

https://t.co/SpPE9LlIP5

[Towards Data Science @TDataScience]

Looking to to gain more practical knowledge about data science on Google Cloud? @e4datascience has curated a list of 10 resources he finds especially useful. https://t.co/f0aKwkBHoY

[Engineering for Data Science @e4datascience]

What challenges have you faced deploying ML models in the real-world?

Unfortunately it isn't as straightforward as some tutorials suggest

Here are some common obstacles I have observed when working in large companies
https://t.co/iepMA5x4Mn
#MachineLearning #DataScience #MLOps

[Engineering for Data Science @e4datascience]

Made me smile on a Monday morning 😂. Some of these hit a bit close to home...
https://t.co/p0Ut4J2eEr
#dataengineering #DataAnalytics

[Towards Data Science @TDataScience]

Follow along as @e4datascience shows how data scientists can increase their productivity and user experience in the terminal by installing a few well-selected plugins. https://t.co/XftuSJpe8l

[Engineering for Data Science @e4datascience]

Interesting news! Snowflake may acquire Streamlit. https://t.co/D2mOuwIiHw
I love working with both tools. Will be really interesting to see what comes from this!
#streamlit #Snowflake