Working with Django and Celery
Automate workflows and deliver smooth user experiences with Django and Celery
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Posts
Advanced exploratory data analysis (EDA) with Python
How to quickly get a handle on almost any tabular dataset
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Integromat - achieve more in less time with fewer people
Integromat lets you connect apps and automate workflows in a few clicks. Move data between apps without effort so you can focus on growing your business.
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Top 9 Jupyter Notebook extensions
Jupyter Notebook is probably the most popular tool used by Data Scientists. It allows mixing code, text, and inspecting the output in one document.
This is something that is not possible with some other programming IDEs. However, the vanilla version of the Jupyter notebooks is not perfect.
In this article, we will show you how to make it slightly better by installing some useful extensions.
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7 Useful Examples of Python’s itertools
The Python itertools library is provides extremely useful utility functions for dealing with iterables.
By becoming fluent in the itertools functions, you can combine them in new ways and use them as building blocks for tackling complex problems in very few lines of code. In this article, you will see 7 practical examples of the applications of itertools functions.
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dtreeviz : Decision Tree Visualization
A python library for decision tree visualization and model interpretation. Currently supports scikit-learn, XGBoost, Spark MLlib, and LightGBM trees.
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free-for.dev
Developers and Open Source authors now have a massive amount of services offering free tiers, but it can be hard to find them all to make informed decisions.
This is a list of software (SaaS, PaaS, IaaS, etc.) and other offerings that have free tiers for developers.
The scope of this particular list is limited to things that infrastructure developers (System Administrator, DevOps Practitioners, etc.) are likely to find useful. We love all the free services out there, but it would be good to keep it on topic.
From life to molecular biophysics
Molecular Biophysics - all lectures and concepts
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Integrating Pythonic visual reports into ML pipelines
Human-readable, visual reports for every ML pipeline Link
Principles & Best practices of REST API Design
This best-practices article intends for developers interested in creating RESTful Web services that provide high reliability and consistency across multiple service suites; following these guidelines; services are positioned for rapid, widespread, public adoption by internal and external clients.
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Pypeln
Pypeln (pronounced as “pypeline”) is a simple yet powerful Python library for creating concurrent data pipelines.
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Real-time face swap fpr PC streamig or video calls
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Terraform: Building out an Application Environment in AWS
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Terraform: Process Kinesis Data Stream Records with AWS Lambda
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Terraforming and Connecting to an AWS Redshift Cluster
This article will create a new VPC and the necessary resources to stand up a Redshift cluster in the new VPC. That way, we can blow this all away without affecting the state of our environment pre-tutorial.
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