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How to Import an Excel File in RStudio
As we have seen in this article on how to install R and RStudio, R is useful for many kinds of computational tasks and statistical analyses. However, it would not be so powerful and useful without the possibility to import datasets into R. As you will most... Read more
6 Trending Python Machine Learning Packages on PyPI
As the most popular programming language for data science, Python packages, frameworks, and libraries are pulled by the millions each month. Month-to-month, Python packages reflect growing trends in the field of data science; as NLP is talked about more often, so will we see more packages... Read more
Systems built with software can be fragile. While the software is highly predictable, the runtime context can provide unexpected inputs and situations. Devices fail, networks are unreliable, mere anarchy is loosed on our application. We need to have a way to work around the spectrum of... Read more
5 Reasons to Learn Python in 2021
You never hear about data science without hearing about Python as well, and for good reason as it’s the most common language for data scientists. In fact, 69% of data scientists report using Python, compared to 24% using R. This doesn’t mean Python is superior in... Read more
Develop and Deploy a Machine Learning Pipeline in 45 Minutes with Ploomber
It’s standard industry practice to prototype Machine Learning pipelines in Jupyter notebooks, refactor them into Python modules and then deploy using production tools such as Airflow or Kubernetes. However, this process slows down development as it requires significant changes to the code. Ploomber enables a leaner... Read more
Decoupling Complex Systems with Event Driven Python Programming
We often think about events as ordered points in time that happen one after another, often with some kind of cause-effect relationship. But, in programming, events are often understood a bit differently. They are not necessarily “things that happen.” Events in programming are more often understood... Read more
Correlation Analysis 101 in Python
Hello everyone! Do you realize it’s spring already? I’m almost ready to celebrate the holiday of flowers, but first: another data analysis practice for you today that will make your life easier (or at least more interesting, hopefully). Do you ever receive questions like: – Does... Read more
Why Learn Python for Data Processing
Python is one of the most popular languages in the world. It’s used in a lot of different fields, like web services, automation, data science, managing computer infrastructure, and artificial intelligence and machine learning. Its readable and concise syntax makes it a great option for teaching... Read more
How to Pivot and Plot Data With Pandas
A big challenge of working with data is manipulating its format for the analysis at hand. To make things a bit more difficult, the “proper format” can depend on what you are trying to analyze, meaning we have to know how to melt, pivot, and transpose... Read more
We take a holistic approach towards best practices at 173Tech. Data and analytics are here to guide us in our daily decisions. It needs to be clearly defined, trusted, and easily digestible for everyone. We build quality and thoughtfulness into all aspects of our processes. It is... Read more