Python: The Benefits of Passing Generators between Functions Instead of Lists
Many Python tutorials cover generators, but only few of them give out a practical example for utilizing generators. Today we […]
Python: Why You Should Start Using Logging Instead of Print()
Logging is a built-in library within Python, which offers capabilities to log and store different levels of information throughout a […]
VSCode: The Benefits of Using .py file with Jupyter Kernel vs. Jupyter Notebook for Your Data Project
Jupyter notebook is one of the most favorite tools of data science professionals; however, developing everything in a Jupyter notebook […]
Jupyter Notebook: Use Jupyter Notebook within Virtual Environment
Jupyter Notebook is an effective tool to explore and visualize data, but unlike calling a .py file, it requires additional […]
Setting Up Data Science Development Environment on Apple M1/BigSur
Apple’s latest M1/BigSur Macbook has created many troubles for data science professionals when it comes to building basic data science […]
Big Data: Three Different Ways to Handle Data That Can’t Fit into Memory (Part III)
Today, we are diving into the third part of this topic and talk about a library that would help us […]
Big Data: Three Different Ways to Handle Data That Can’t Fit into Memory (Part II)
Today we would like to cover the second way of handling data that can’t fit into memory — down casting […]
Big Data: Three Different Ways to Handle Data That Can’t Fit into Memory (Part I)
Often times, data professionals need to deal with data sizes that are larger than their local machine’s memory. How to […]
Python: Three Hidden Ways to Create Potential Bugs with Mutable Data Structures (Part III)
We were told tuples are immutable data structures when we first learned Python, but this is not absolute. If you […]
DataYap Virtual Conference Highlights
The recent DataYap Virtual Conference brought together tech experts to delve into the latest trends in data science. From revolutionizing business techniques with data analytics to addressing global challenges like the COVID-19 pandemic, this conference showcased the transformative power of data science. Discover how data analytics is reshaping industries and fostering diversity and inclusion in technology.