Engineering for Data Science
@e4datascience
Writing about data engineering | data science | machine learning engineering | @ http://engineeringfordatascience.com
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Unit testing PySpark code using Pytest by @e4datascience buff.ly/3IWgKVY
13 Tips for using PyTest by @e4datascience buff.ly/3Xz0z65
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.
Why and How to Set Up Logging for Python Projects by @e4datascience buff.ly/3CIt5bs
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. engineeringfordatascience.com/posts/python_l… #Python #DataScience
Tired of typing `%autoreload` at the top of *all* your Jupyter notebooks and iPython sessions? Add this to your iPython config 👇 engineeringfordatascience.com/posts/autorelo… #python #pythonprogramming #ipython
. @e4datascience instructs on how to increase your productivity and user experience in the terminal by installing some key plugins. buff.ly/3v73HKb
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: engineeringfordatascience.com/posts/google_s… #analysis #google #SEO
engineeringfordatascience.com
Google Search Console API with Python
How to access you Google Search Console data using the API with Python
"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. buff.ly/3LAGeHr
Reproducible ML: Maybe you shouldn’t be using Sklearn’s train_test_split by @e4datascience buff.ly/3Qze8ig
Engineering For Data Science just reached 10k monthly visitors! 🥳 My thoughts after one year of blogging: engineeringfordatascience.com/posts/one_year… #blogging #growth #python #datascience
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 engineeringfordatascience.com/posts/matplotl… #DataScience #Python
"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. buff.ly/3v73HKb
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. protocol.com/enterprise/goo…
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. buff.ly/3iaUxF0
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 engineeringfordatascience.com/posts/why_is_m… #MachineLearning #DataScience #MLOps
engineeringfordatascience.com
Why is Machine Learning Deployment so Difficult in Large Companies?
Building the model is just the start. In large enterprises governance, data quality and silos dramatically increase complexity
Made me smile on a Monday morning 😂. Some of these hit a bit close to home... medium.com/coriers/16-dat… #dataengineering #DataAnalytics
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. buff.ly/3MorxaU
Interesting news! Snowflake may acquire Streamlit. investors.snowflake.com/news/news-deta… I love working with both tools. Will be really interesting to see what comes from this! #streamlit #Snowflake
Are you trying to learn #VIM to edit files in the terminal? I think it took me four attempts before it finally clicked. This is how I would tackle learning it if I was starting again engineeringfordatascience.com/posts/what_is_… #DataScience #Terminal #howdoiexitvim
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