I recently finished my time in the PDM program with Bob as my coach. This post focuses on how I made a back-end read-only database using FastAPI and a front-end using Streamlit along with the challenges that came with the whole project. Project Idea and initial planning This wasn’t my first attempt. I tried making… Continue reading My experience building a FastAPI + Streamlit app
Articles on pandas
Data engineering involves more Python than you might think!
By PyBites Team on 29 June 2022
Listen here: This week we have Christo back on the show to talk about his experience in the data engineering field. He shares some valuable tips how to become a more effective data engineer which, surprisingly or not, increasingly requires a well-rounded Python developer skill set. Enjoy and feel free to reach out to Christo below … Christo’s website: https://www.christoolivier.com… Continue reading Data engineering involves more Python than you might think!
Automating the Boring Stuff and Plotting Student Data
By Russell Helmstedter on 28 June 2022
My name is Russell Helmstedter. I am a middle school math and computer science teacher at De Anza Academy of Technology & the Arts (DATA). My first exposure to Python was in March of 2020. For some reason, I was stuck at home and couldn’t go out and do things. I decided to learn how… Continue reading Automating the Boring Stuff and Plotting Student Data
Case study: How to parse nested JSON
By Michael Aydinbas on 3 June 2022
I was asked to help parse a JSON file that is delivered by the iTunes Store Customer Reviews API JSON endpoint. It is not so important how this API works or if there are better APIs for this. Instead, let’s assume that we found our favorite API to work with and that our request makes… Continue reading Case study: How to parse nested JSON
How to Run External Python Libraries in AWS Cloud
By Bob Belderbos on 17 August 2020
AWS Lambda is awesome, but sometimes it can be hard to get external libraries working in this serverless environment. No worries, we learned a lesson or two which I will share in this article. Ready to run almost any Python library in the cloud? This should excite you and even trigger your entrepeneurial mind …
Analyzing covid-19 data with pandas and matplotlib
By Cedric Sambre on 13 July 2020
One moment I was solving a pandas challenge, next I was analyzing real world covid-19 data with python…
Using Python to Check for File Changes in Excel
By Ryan Cheley on 10 April 2020
Finding differences in excel files using Pandas!
Code Challenge 57 – Analyze Olympic Games Data With Pandas – Review
By PyBites Team on 9 November 2018
In this article we review last week’s Analyze Olympic Games Data With Pandas code challenge.
Code Challenge 57 – Analyze Olympic Games Data With Pandas
By Andrea Mammoliti on 30 October 2018
Hey Pythonistas, a new week, a new Python code challenge! This week you can use Python, Pandas and all the libraries you need to analyze the data of Olympic Games and find out interesting things and present them to everyone with Matpolib, Seaborn and/or Plotly.
Data Analysis of Pybites Community Branch Activity
By Martin Uribe on 18 October 2018
I wanted to play around with a dataset and see what I could find out about it. I decided on analyzing the little bit of data that I could collect from Github without having to use an OAuth key, which limits it to just 300 events. If you want to follow along with my notebook check out the instructions here. This notebook was my submission for Code Challenge 47 – PyBites First Year in Data (Special).