#pythongraphics

[sritika-manjrekar]

Instagram Logo Using Python Turtle Graphics

[nikhil-pareek-blog]

Python turtle graphics #pythongraphics

[dlkcareerdevelopment]

How to Creating Plots on Variables using Python

[phungthaihy]

Live Data Visualization (Tutorial 2020) | #NgulikData http://ehelpdesk.tk/wp-content/uploads/2020/02/logo-header.png [ad_1] Di episode pertama #NgulikData, ... #algoritmadatascience #dataanalysis #datamodeling #datascience #datavisualization #excel #exceldashboard #excelformulas #excelfunctions #excelmacros #excelvba #livedata #livedatavisualization #livegraph #microsoftaccess #microsoftoffice #microsoftoffice365 #microsoftpowerbi #microsoftproject #microsoftword #officeproductivity #pivottables #plotly #powerpivot #powerpoint #python #pythongraphing #pythonplotting #pythonrealtime #real-timeplot #sap

[craigbrownphd]

Fresh from the Python Package Index

• torchmeta Dataloaders for meta-learning in Pytorch. A collection of extensions and data-loaders for few-shot learning & meta-learning in [PyTorch](https://pytorch.org ). The package contains popular meta-learning benchmarks, fully compatible with both [`torchvision`](https://…/index.html ) and PyTorch’s [`DataLoader`](https://…/data.html#torch.utils.data.DataLoader ). • cluster-over-sampling Clustering based over-sampling. • csdmpy A python module for importing and exporting CSD model file-format. The `csdmpy` package is a Python support for the core scientific dataset (CSD) model file exchange-format. The package is based on the core scientific dataset (CSD) model which is designed as a building block in the development of a more sophisticated portable scientific dataset file standard. The CSD model is capable of handling a wide variety of scientific datasets both within and across disciplinary fields. • fastrank A set of learning-to-rank algorithms. • lisc Literature Scanner. LISC, or ‘literature scanner’ is a package for collecting and analyzing scientific literature. LISC acts as a wrapper and connector between available APIs, allowing users to collect data from and about scientific articles, and to do analyses on this data, such as performing automated meta-analyses. • pylift Python implementation of uplift modeling. • pythonGraph simple graphics in Python. pythonGraph is a simple graphics package for Python. It’s design is loosely descended from Adagraph and RAPTOR Graph. pythonGraph supports the creation of a graphics window, the display of simple geometric shapes, and simple user interactions using the mouse and keyboard. • pytorch-transformers-pvt-nightly Repository of pre-trained NLP Transformer models: BERT & RoBERTa, GPT & GPT-2, Transformer-XL, XLNet and XLM • qubu A Simple Database Query Builder • rl-musician Composition of music with reinforcement learning. • shapeletpy Time series classification Using Shapelets • torch-radiate Automatic deep learning research report generator • torch-stethoscope Automatic deep learning research report generator • yahoo-finance-hdd Download historical financial data from yahoo finance • affnine-deltaleaf Easy way to create MAP (Undirected Graph)and find shortest path from one Node to another. • apai ML & DL helper library. Helper library built on Tensorflow. Provides utility and helper functions for the machine and deep learning tasks. • easyagents-v1 reinforcement learning for practitioners. Use EasyAgents if • you are looking for an easy and simple way to get started with reinforcement learning • you have implemented your own environment and want to experiment with it • you want mix and match different implementations and algorithms • ignis Intuitive library for training neural nets in PyTorch. `ignis` is a high-level library that helps you write compact but full-featured training loops with metrics, early stops, and model checkpoints for deep learning library [PyTorch](https://pytorch.org ). http://bit.ly/34foQ4J

[jigshub]

Python Doraemon Code | Python Graphic Design | Python Animation Tutorial