Tag: Python

• Using PySpark with S3 (Updated)

  02.12.2022

• Getting started with Great Expectations

  19.02.2022

• Creating a quick app using Supabase

  26.04.2021

• Moving blog to Cloudflare pages

  24.04.2021

• Assume a role with boto3 in Python

  25.03.2021

• Setting up a private PyPi server

  20.03.2021

• Creating a simple REST API with FastAPI and SQLAlchemy

  27.02.2021

• Creating a simple REST API with Flask and SQLAlchemy

  19.01.2021

• Scraping data with Scrapy and PostgreSQL

  05.01.2021

• Setting up PostgreSQL for Python

  30.12.2020

• Scraping data based on xpaths

  24.12.2020

• Getting the lead time for Jira tickets

  29.08.2020

• Forward filling in Spark

  25.05.2020

• GraphQL with Flask and MongoDB

  15.05.2020

• Integrating PySpark with Salesforce

  22.04.2020

• Integrating PySpark with SQL server using JDBC

  22.04.2020

• Using parametrize with PyTest

  21.02.2020

• Integrating PySpark with Redshift

  08.02.2020

• Integrating PySpark notebook with S3

  24.01.2020

• Casting a PySpark DataFrame column to a specific datatype

  30.12.2019

• Run methods dynamically by name

  06.12.2019

• Using Python with Jinja and PDFkit to generate a resume

  10.11.2019

• Using Faker to generate events

  29.10.2019

• Moving from `unittest` to `pytest`

  17.10.2019

• Using SFTP with Spark

  02.08.2019

• Find and delete empty columns in Pandas dataframe

  07.07.2019

• Interacting with AWS Glue

  02.04.2019

• Creating a data range with Python

  08.03.2019

• Using Azure Blob Storage and Parquet

  26.02.2019

• Calculate differences with sparse date/value dataframes

  07.01.2019

• Using Spark to read from S3

  04.01.2019

• Write a Pandas dataframe to CSV on S3

  05.10.2018

• Write a Pandas dataframe to Parquet on S3

  05.10.2018

• Interacting with Parquet on S3 with PyArrow and s3fs

  17.08.2018

• Using executemany to increase PyODBC connection

  19.07.2018

• Using ButterCMS in a Jupyter notebook with VueJS

  14.06.2018

• Creating Pandas dataframe from Azure Table Storage

  08.06.2018

• Creating prediction model as a service using Flask and Docker

  09.05.2018

• MEVN stack experiment with Jupyter

  15.01.2018

• Creating block diagram using Python in Jupyter notebook

  18.12.2017

• Create Spark dataframe column with lag

  14.12.2017

• Using Pythons filter to select columns in dataframe

  09.11.2017

• Hadoop Experiment - Spark with Pyspark in a Jupyter notebook

  22.09.2017

• Using Anaconda with Docker

  31.08.2017

• Using Scrapy in Jupyter notebook

  02.08.2017

• Extend dictionary cell to columns in Pandas dataframe

  01.08.2017

• Using Python and Javascript together with Flask

  01.08.2017

• Create an API using Eve in Python

  25.07.2017

• Using Pythons pickle to save and load variables

  27.06.2017

• Using D3.js in Jupyter notebook

  19.05.2017

• Building a crypto app with ExpressJS, MongoDB and D3.js

  15.05.2017

• Using the Ethereum Web3 client in Python

  05.05.2017

• Using the Ethereum RPC client in Python

  03.05.2017

• Using R and Python together in a notebook

  07.04.2017

• MongoDB - First try

  05.04.2017

• First experiments with NLTK

  29.03.2017

• Basic search with Elasticsearch

  14.03.2017

• Color recognition of images using OpenCV

  31.01.2017

• Mocking in unittests in Python

  30.01.2017

• Unittesting in a Jupyter notebook

  17.01.2017

• Create a choropleth for the top 50 artists I listen on Spotify

  31.10.2016

• Add Flickr photosets to a Django site

  05.10.2016

• Write dictionary to CSV in Python

  05.10.2016

• Install Anaconda on Ubuntu 14.04

  04.10.2016

• Move Django database between servers

  04.10.2016

• Install lxml for Python on DigitalOcean

  09.08.2016

• Show all debug information in Django

  31.07.2016

• Webcrawling in Python using Selenium

  30.07.2016

• Simple webcrawling in Python

  28.07.2016