Category: Python

Google Cloud Platform offers a wide range of serviced which allows you to deploy your own web applications and share them with the whole world. Here you have: App Engine, Compute Engine, Kubernetes clusters or even Cloud Functions for simple endpoints. All this solutions are mainly differ with technical complexity, flexibility and of course costs. Read more about How To Deploy A Simple Dockerized Flask App On Google Cloud Run[…]

Google Sheets is a great tool for storing not too large amount of data, with possibility of easy adding and editing data manually without deep technical knowledge of SQL or programming. On the other hand Google offers a BigQuery – a big data warehouse with super-fast SQL wich allows to manipulate and analyse huge amount Read more about Import Google Sheets Data Into Google BigQuery Using Python And Pandas[…]

Many web applications require PDF reports and downloads. There are numerous open-source libraries that can build basic PDFs, but if you need a more complicated PDF document or are sending your document to a printer, you’ll need a commercial PDF generation tool. Unlike the browser-based open-source HTML to PDF libraries, commercial engines are designed specifically Read more about How To Make Complicated PDFs From Basic HTML And CSS[…]

Google Cloud Platform has a lot of different data storing options, but if you are looking for a simple NoSql solution with fast read-inserts – Google DataStore will be the right choice here. If you are writing some web application – Google Datastore will help you to easily handle your app’s data like data of Read more about Google Cloud Datastore – A Simple And Fast NoSQL Database For Your Project (with Python API examples)[…]

Google App Engine is a Google Cloud service which lets you to deploy your web site or web application and share it with other world in a very simple way without carrying about all these complicated server stuff and infrastructure. In this guide we will deploy our own app, the whole process can be described Read more about How To Deploy A Simple Flask App On Google App Engine In Couple Of Minutes[…]

When I created my first bot with Selenium library – I could not believe how easy and intuitively Selenium is. It’s like writing a scenario for a movie – You just describing step by step what should be going on. In my particular case – Selenium helped me to automate reporting of some advertising platforms, Read more about How You Can Create Your Own Bot Using Selenium WebDriver And Python[…]

Working with Pandas dataframes It`s often needed to reshape the data, in order to prepare it for further analysis, visualization or library that requires particular data form. I`ve decided to share with you some functions that I used a lot working with customer journey paths, exported from Google Analytics. For experienced data scientist that could Read more about 3 Helpful Python Functions For Data Manipulation[…]

Google BigQuery is a great big-data tool, which let you to store a huge amount of data in cloud, and manipulate it with SQL queries. But there are situations, when you want to get that data to your python environment for more advanced purposes like machine learning, which is possible thanks to numerous python libraries. Read more about Google BigQuery API Request (Python)[…]

Google Analytics Reporting Api gives you a lot of possibilities like downloading your data without sampling, exporting it to databases or just ability to work with raw data (for example in Jupyter Notebooks). The easiest way I`ve found to make a API request to Google Analytics: 1. Create a Google Cloud Platform project and enable Read more about Google Analytics API Request (Python)[…]