Implement the Perspective open source code in preparation for data visualization

Overview

Task Overview | Installation Instructions | Link to Module 2

Introduction

Experience Technology at JP Morgan Chase

Try out what real work is like in the technology team JP Morgan Chase. Fast track to the tech team with your work.

Module 2 Task Overview

Use JP Morgan Chase's frameworks and tools Implement JP Morgan Chase’s Perspective open source code in preparation for data visualization

Aim:Take an incomplete setup of Perspective, i.e. a graph that updates manually, and make it work with the code from Task 1 such that it now updates automatically by continuously requesting from the server application

  1. Please clone this repository to start the task
  2. [goal-a] In the client application, observe that when new data feed is retrieved whenever you click the 'Start Streaming Data' button, the previous entry is re-entered into the table. Update the application so that the table does not have duplicated entries
  3. [goal-b] We also want the react app to keep continuosly requesting data from the python server. Currently, the data feed is called only once every time the 'Start Streaming' button is clicked. Change the application to continuously query the datafeed every 100ms when the 'Start Streaming' is clicked.
  4. [goal-c] Currently, the Perspective element only shows the data in table view after the data loads. Add Perspective configurations so that when the data is loaded, it shows the historical data of ask_price ABC in the Y line chart.
  5. Upload a git patch file as the submission to this task

Set up / Installation

In order to get the server and client application code working on your machine, follow the setup here

Note:This is the version of the JPM 2 exercise that uses Python 3. The Python 2.7 version is in this other repo

How to Run

Similar to Task 1, start the data feed server by running the python server.

Make sure your terminal / command line is in the repository first before doing any of this.

If you are using Windows, make sure to run your terminal/command prompt as administrator.

python datafeed/server3.py

If you encounter an issue with datautil.parser, run this command:

pip install python-dateutil

If you don't have pip, you can install it from: https://pip.pypa.io/en/stable/installing/

Run npm install && npm start to start the React application.

It's okay to have audit warnings when installing/running the app.

If you don't have npm (although you should if you followed the set up / installation part), you can install the recommended version alongside NodeJS from: https://nodejs.org/en/

The recommended version are node v11.0.0 and npm v6.4.1

Open http://localhost:3000 to view the app in the browser. The page will reload if you make edits.

Known Issues

Some users seem to be having trouble with the unzipped version of the node_modules back up for windows. This is the alternative unzipped version: https://drive.google.com/drive/folders/1wzIlt-OeiK6nYEHidsOGlpJ_KmeoPVXz

Note: You may need to (hard) refresh the link to the public gdrive to see all of the files/folders e.g. @jpmorganchase/perspective as it takes gdrive a bit to load them for you.

How to fix the code to meet the objectives

To make the changes necessary to complete the objectives of this task, follow this guide.

How to submit your work

A patch file is what is required from you to submit. To create a patch file, follow this guide. Then submit the patch file in the JPM Module 2 Page.

Owner
Abdulazeez Jimoh
Junior Software Engineer
Abdulazeez Jimoh
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

PyVista Deployment Build Status Metrics Citation License Community 3D plotting and mesh analysis through a streamlined interface for the Visualization

PyVista 1.6k Jan 08, 2023
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph

TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the comput

Eric Jang 1.4k Dec 15, 2022
Plotly Dash Command Line Tools - Easily create and deploy Plotly Dash projects from templates

🛠️ dash-tools - Create and Deploy Plotly Dash Apps from Command Line | | | | | Create a templated multi-page Plotly Dash app with CLI in less than 7

Andrew Hossack 50 Dec 30, 2022
Generate "Jupiter" plots for circular genomes

jupiter Generate "Jupiter" plots for circular genomes Description Python scripts to generate plots from ViennaRNA output. Written in "pidgin" python w

Robert Edgar 2 Nov 29, 2021
A tool for automatically generating 3D printable STLs from freely available lidar scan data.

mini-map-maker A tool for automatically generating 3D printable STLs from freely available lidar scan data. Screenshots Tutorial To use this script, g

Mike Abbott 51 Nov 06, 2022
A tool for creating Toontown-style nametags in Panda3D

Toontown-Nametag Toontown-Nametag is a tool for creating Toontown Online/Toontown Rewritten-style nametags in Panda3D. It contains a function, createN

BoggoTV 2 Dec 23, 2021
Schema validation just got Pythonic

Schema validation just got Pythonic schema is a library for validating Python data structures, such as those obtained from config-files, forms, extern

Vladimir Keleshev 2.7k Jan 06, 2023
This is a sorting visualizer made with Tkinter.

Sorting-Visualizer This is a sorting visualizer made with Tkinter. Make sure you've installed tkinter in your system to use this visualizer pip instal

Vishal Choubey 7 Jul 06, 2022
Visualization of hidden layer activations of small multilayer perceptrons (MLPs)

MLP Hidden Layer Activation Visualization To gain some intuition about the internal representation of simple multi-layer perceptrons (MLPs) I trained

Andreas Köpf 7 Dec 30, 2022
PolytopeSampler is a Matlab implementation of constrained Riemannian Hamiltonian Monte Carlo for sampling from high dimensional disributions on polytopes

PolytopeSampler PolytopeSampler is a Matlab implementation of constrained Riemannian Hamiltonian Monte Carlo for sampling from high dimensional disrib

9 Sep 26, 2022
Sprint planner considering JIRA issues and google calendar meetings schedule.

Sprint planner Sprint planner is a Python script for planning your Jira tasks based on your calendar availability. Installation Use the package manage

Apptension 2 Dec 05, 2021
Shaded 😎 quantile plots

shadyquant 😎 This python package allows you to quantile and plot lines where you have multiple samples, typically for visualizing uncertainty. Your d

Mehrad Ansari 13 Sep 29, 2022
Pglive - Pglive package adds support for thread-safe live plotting to pyqtgraph

Live pyqtgraph plot Pglive package adds support for thread-safe live plotting to

Martin Domaracký 15 Dec 10, 2022
Create 3d loss surface visualizations, with optimizer path. Issues welcome!

MLVTK A loss surface visualization tool Simple feed-forward network trained on chess data, using elu activation and Adam optimizer Simple feed-forward

7 Dec 21, 2022
Seismic Waveform Inversion Toolbox-1.0

Seismic Waveform Inversion Toolbox (SWIT-1.0)

Haipeng Li 98 Dec 29, 2022
Draw interactive NetworkX graphs with Altair

nx_altair Draw NetworkX graphs with Altair nx_altair offers a similar draw API to NetworkX but returns Altair Charts instead. If you'd like to contrib

Zachary Sailer 206 Dec 12, 2022
This is simply repo for line drawing rendering using freestyle in Blender.

blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python

MaxLin 3 Jul 02, 2022
Some problems of SSLC ( High School ) before outputs and after outputs

Some problems of SSLC ( High School ) before outputs and after outputs 1] A Python program and its output (output1) while running the program is given

Fayas Noushad 3 Dec 01, 2021
Automatically visualize your pandas dataframe via a single print! 📊 💡

A Python API for Intelligent Visual Discovery Lux is a Python library that facilitate fast and easy data exploration by automating the visualization a

Lux 4.3k Dec 28, 2022
A set of useful perceptually uniform colormaps for plotting scientific data

Colorcet: Collection of perceptually uniform colormaps Build Status Coverage Latest dev release Latest release Docs What is it? Colorcet is a collecti

HoloViz 590 Dec 31, 2022