About Kyle Stratis
Hi there! I’m Kyle, a Python developer who is a bit obsessed with large datasets, what we can glean from them, and how to wrangle them. I straddle the line between data engineering and data science, and it’s a fun place to be! I’m on a lifelong quest to learn, build, learn, and teach those learnings.
Current interests include Python, machine learning (specifically deep learning), serverless applications, data in the lifesciences, weightlifting, and longboarding.
Tutorials by Kyle:
- How to Use Generators and yield in Python
- Build Your Own Face Recognition Tool With Python
- Combining Data in pandas With merge(), .join(), and concat()
- What Is Data Engineering and Is It Right for You?
- Use Sentiment Analysis With Python to Classify Movie Reviews
- Supercharge Your Classes With Python super()
- 4 Techniques for Testing Python Command-Line (CLI) Apps
Tutorials Contributed to by Kyle:
- How to Build a Python GUI Application With wxPython
- Python while Loops: Repeating Tasks Conditionally
- Building Serverless Python Apps Using AWS Chalice
- How to Run Your Python Scripts and Code
- Python Project Structure: How to Choose the Right Layout
- 11 Beginner Tips for Learning Python Programming
- Python Statistics Fundamentals: How to Describe Your Data
- How to Split a String in Python
- Split Your Dataset With scikit-learn's train_test_split()
- Linear Regression in Python
- Basic Input and Output in Python
- Modulo String Formatting in Python
- Securely Deploy a Django App With Gunicorn, Nginx, & HTTPS
- Using ggplot in Python: Visualizing Data With plotnine
- Generative Adversarial Networks: Build Your First Models
- The pandas DataFrame: Make Working With Data Delightful
- How to Provide Test Fixtures for Django Models in pytest
- Logistic Regression in Python
- Data Engineer Interview Questions With Python
- Build a Mobile Application With the Kivy Python Framework
- Jupyter Notebook: An Introduction
