Time series basics

Time series — data, with points having timestamps. Some might think that #timeseries are mostly used in algorithmic trading, but they often used in malware detection, network data analysis or any other field, dealing with some flow of time-labeled data. These two resources provide deep and easy #introduction into #TS analysis.

Github: https://github.com/akshaykapoor347/Time-series-modeling-basics
Data Camp presentation: https://s3.amazonaws.com/assets.datacamp.com/production/course_5702/slides/chapter3.pdf

#beginner #novice #python #entrylevel

Another major release of #SpaCy

👽 ULMFit/BERT/ELMo-like language model pretraining
📐 Better matching & rule-based NER
🧮 Platform-independent matrix multiplication
🚀 2-3 times faster tokenization
⏳ Installation without local compilers

Link: https://explosion.ai/blog/spacy-v2-1

#NLP #python

​​A comprehensive beginner’s guide to create a Time Series Forecast (with Codes in Python)

A middle-level article on #TS forecasting in #Python.

Link: https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/

​​An End-to-End Project on Time Series Analysis and Forecasting with Python

Today’s second article about #TS forecasting, to cover basics and provide knowledge about how to approach TS data mining.

Link: https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b

#Python

Panel: A high-level app and dashboarding solution for the PyData ecosystem.

New framework for handling python dashboards.

Link: https://medium.com/@philipp.jfr/panel-announcement-2107c2b15f52

#vizualization #panel #metrics #dashboard #python

​​Simple real time visualisation of the execution of a #python program: https://github.com/alexmojaki/heartrate

Can't agree more. Worst release of #python

#python 3.8 is released. The worst python release so far. :=

I hope, that python4 will concentrate on removing useless stuff from the core, performance, and extending typing support.

Ideally, asyncio should be moved to a separate package, := should be undone. We all make mistakes.

https://docs.python.org/3/whatsnew/3.8.html

​​In a chord diagram (or radial network), entities are arranged radially as segments with their relationships visualised by arcs that connect them. The size of the segments illustrates the numerical proportions, whilst the size of the arc illustrates the significance of the relationships1.

Chord diagrams are useful when trying to convey relationships between different entities, and they can be beautiful and eye-catching.

https://github.com/shahinrostami/chord

#python

​​Blackcellmagic extension for jupyter

There are people who like dark themes and are fond of them, but this extension helps to format the code.

Extension: https://github.com/csurfer/blackcellmagic
Black formatter: https://github.com/psf/black

#codestyle #python #jupyter