Sunday, February 18, 2018

Save list as CSV in ionic (PWA)

Read/Write file into devices

Installation (

Install the Cordova and Ionic Native plugins:
$ ionic cordova plugin add cordova-plugin-file
$ npm install --save @ionic-native/file
Add this plugin to your app's module

There are few ways you can use to download the file, but I'm using the easiest way, that is implementing the download which I'm not pretty sure if it runs ok on Android and iOS.
I'm not writing directly into the device storage as there are many things to consider such as storage area, security, etc.

Few references:


List of Data Sciences and Machine Learning usefull link

Credit to: Shivam Panchal
As published by Shivam at Linked @


  1. What Is Hadoop? Hadoop Tutorial For Beginners
  2. What is Apache Spark? The big data analytics platform explained
  3. Apache Spark Tutorial: ML with PySpark
  4. A Beginner's Guide To Apache Pig
  5. Realtime Event Processing in Hadoop with NiFi, Kafka and Storm


  1. A Deep Dive Into Linear Algebra
  2. An Introduction to Combinatorics & Graph Theory

Tools & Framework:

  1. TensorFlow Tutorial – Deep Learning Using TensorFlow
  2. A 6-part introduction to the MXNet API
  3. Keras Tutorial: The Ultimate Beginner's Guide to Deep Learning in Python

Data Visualization:

  1. Building Python Data Apps with Blaze and Bokeh
  2. Matplotlib Tutorial: Python Plotting
  3. Python Bokeh Tutorial - Creating Interactive Web Visualizations


  1. Simple Linear Regression
  2. Simple and Multiple Linear Regression in Python
  3. Linear Regression in R
  4. An Introduction To Logistic Regression
  5. Building A Logistic Regression in Python, Step by Step by Susan Li
  6. Supervised and Unsupervised Machine Learning Algorithms
  7. 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
  8. A Tutorial on Support Vector Machines for Pattern Recognition
  9. A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)


  1. A Complete Tutorial to Learn Data Science with Python from Scratch
  2. NumPy Tutorial: Data analysis with Python
  3. Scipy Tutorial: Vectors and Arrays (Linear Algebra)
  4. Python Pandas Tutorial
  5. Machine Learning with scikit learn Part 1 & 2


  1. A Thorough Overview of Computational Logic

Game Theory:

  1. Game Theory - A 3 Part Introduction


  1. Correlation & causality
  2. Analysis of variance (ANOVA)
  3. Understanding Hypothesis Tests: Significance Levels (Alpha) and P values in Statistics
  4. Characteristics of Good Sample Surveys and Comparative Studies
  5. Descriptive and Inferential Statistics
  6. Intro to Probability Theory
  7. Introduction to Conditional Probability & Bayes theorem for data science
  8. Central limit theorem

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