Want to learn Python? Check out all the Python tutorials on PythonGuides.com. All these tutorials are written by Python experts with practical and real examples. Talk with our experts if you still have questions.
Working with structured data in deep learning used to feel like a constant battle with preprocessing pipelines. I remember spending hours manually mapping integers and scaling floats before even touching a model. That changed when I started using the Keras FeatureSpace utility. It simplifies the entire process of mapping raw tabular data into a format … Read more >>
As a Keras developer who has spent the last four years building and scaling deep learning models, I have often struggled with the massive hardware requirements needed to fine-tune Large Language Models (LLMs). In my experience, trying to update every single weight in a model like GPT-2 is not only time-consuming but also incredibly expensive … Read more >>
Calculating the average of a list is one of those fundamental tasks I find myself doing almost every day as a developer. Whether I’m analyzing stock prices on the NYSE or looking at temperature trends in Chicago, getting that mean value is essential. In this tutorial, I will show you exactly how I handle calculating … Read more >>
As a Python developer, I’ve often found myself needing to transition between data structures. Sets are fantastic for ensuring that your data remains unique, but they lack the indexing and ordering capabilities that we often need for reporting. In this tutorial, I will show you exactly how to convert a Python set into a list … Read more >>
I remember the first time I had to parse a large dataset of customer feedback from a New York-based retail chain. The data was messy, and I quickly realized that simply “splitting by space” wasn’t going to cut it. Python makes this incredibly easy once you know which tool to grab from the toolbox. Whether … Read more >>
I have found that handling text data is one of the most frequent tasks you will face. Whether you are processing a list of US states from a CSV or cleaning up user input from a web form, knowing how to break strings apart is essential. In Python, we don’t technically have a native “array” … Read more >>
I’ve found that string manipulation is one of those tasks that sounds simple but hides a lot of nuance. Whether I am parsing file paths on a Windows server or cleaning up messy user data from a web form, I often need to grab just the very last part of a string. In this tutorial, … Read more >>
I have spent the last decade working as a data developer, and if there is one tool I use every single day, it is the Pandas library. When I first started analyzing US economic data, I realized that getting the data into Python was often the hardest part of the job. Most of the time, … Read more >>
I’ve handled massive amounts of US retail and financial data. One thing I’ve learned is that raw data is almost always useless until you summarize it. In Pandas, the groupby function combined with aggregation is the most powerful tool in your arsenal. I remember the first time I tried to manually calculate averages for different … Read more >>
In my years of working as a data developer, I’ve combined thousands of datasets. One of the most common issues I face is dealing with messy, overlapping indices. When you merge two pieces of data, pandas tries to be helpful by keeping the original row numbers. Most of the time, this leads to a confusing … Read more >>
Download a FREE PDF (112 Pages) Containing 51 Useful Python Programs.
Download a FREE PDF on how to become a Python developer.