Finland postal code data including boundary coordinates
Data for postal codes in Finland including area boundaries.
How to copy and paste text in Datalore terminal?
Datalore is an online data science environment. Typical CTRL+C and CTRL+V commands do not work in the Datalore terminal, so here is the solution.
Change Python version in Vertex AI
Vertex AI is a bare-bones analytics environment in Google Cloud. As simple tasks as changing the Python version requires multiple steps.
Google Colab - Easily accessible Python workspace
Google Colab is a low barrier option to run Python scripts. Here is a brief introduction for the essential features.
Datalore tech review
Datalore is a collaborative data science platform. The notebook experience has been taken to the next level.
Datalore pricing - Which licensing model to choose?
The online Python worskpace Datalore has three main models for pricing and licensing. At the same time they provide logical path towards building you company’s data analysis ecosystem.
Go web server in Docker deployed to Google Cloud Run
I created a web server with Go language and deployed it Google Cloud Run inside a Docker container.
Visualize postal code areas of Finland in Python
Reading and visualizing Finland’s postal code data on a map in Python. Python has many great packages to work with geospatial such as geopandas.
cnvrg.io - Flexible Kubernetes deployments for advanced data science teams
For technically advanced teams looking for flexible Kubernetes deployments.
neptune.ai - Experiment tracking platform for MLOps
Log experiments and ML models versions from any environment.
Paperspace Gradient - ML platform with their own data centers and IPU processors
Paperspace Gradient machine learning platform is best known from extensive GPU support. They have recently partnered with Graphcore to provide new generation processors.
Saturn Cloud - Data science workspace with Dask cluster
Saturn Cloud is a greate choice for data science teams who want to maximize flexibility of their environment. Integrated parallel processing with Dask differentiates it from the competitors. With open source tools teams can design a workflows that fit best to their specific needs.
Datalore - Introduction to the advanced analytics platform
Datalore is a fairly recent online platform for advanced data analytics.
Bodo is a faster alternative for Spark to run massive ETL jobs in Python
Bodo is a platform for data processing with Python and SQL. It is especially suitable for large datasets thanks to its unique parallel processing technology.
Keras for basic neural networks
Keras is one of the high level APIs in Tensorflow deep learning stack. It is the recommended framework to get started with neural networks, if you do not have special requirements.
Tensorflow for ML Engineers
I have more experience from Pandas and Scikit-Learn Python libraries compared to Tensorflow. I was surprised how large the Tensorflow ecosystem with its ML engineering extensions.
EmailLabs - EU based service for 9 000 free transactional emails per month
During my website migration it became evident that I would also need a new email service. Previously the email hosting was integrated in the CPanel of my web hotel.
Running Flask frontend and backend in Kubernetes
Kubernetes have been everywhere lately. Especially in the context of MLOps. I gave it a try by creating web app with Python Flask.
An undocumented product_id parameter in Pipedrive API to attach products to deals
I found an undocumented product_id parameter in Pipedrive API to attach products to deals. The issue is reported to Pipedrive dev team.
Free data science workspaces
Google Colab, Databricks Community Edition, Visual Studio Code and Dcoker are some options to create a free data science workspace.
Comparison of machine learning platforms in major clouds
Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.
DataCamp - Learn data science online
Experiences from DataCamp online training. Structured data science courses are easy to organize for yourself or a team.
Clustering data using SQL - An example with industrial IoT data
Clustering time series data with SQL - Nice 3D visualization using simple logic. Python notebook example in GitHub with industrial data.
Csv headers to list using Python
Python code to automatically list header fields of multiple CSV files. The original use case was related to data warehouse documentation.