jassinm

How to run Jupyterlab as a desktop app on Mac OSX

In Sep, 2021, Jupyterlab Desktop App (electron) was released by Mehmet Bektas (github repo).

brew install --cask jupyterlab

Dependency Injection in Functional Programming

There exist several DI frameworks / libraries in the Scala ecosystem. But the more functional code you write the more you'll realize there's no need to use any of them.

A few of the most claimed benefits are the following:

Dependency Injection.
Life cycle management.
Dependency graph rewriting.

import pandas as pd
import numpy as np
from tabulate import tabulate

df = pd.DataFrame(np.random.random((4,3)), columns=['A','B','C'])
print("foo")
return(tabulate(df, headers="keys", tablefmt="orgtbl"))

[PyHUG] July: Use Python in Org-mode

	def implicit_chaining():
	"""
	This is the Python 2 style. Just raising another exception from within an except block.
	In Python 3 this causes the exceptions to be chained with the message:

	During handling of the above exception, another exception occurred:

	Which is usually not correct when just re-raising with a more appropriate type.
	"""
	try:

	from flask import Flask
	from flask.ext import restful
	from flask.ext.sqlalchemy import SQLAlchemy

	app = Flask(__name__)
	app.config.from_object('config')

	#flask-sqlalchemy
	db = SQLAlchemy(app)

	from pyspark import SparkContext
	from pyspark.sql import SQLContext
	from pyspark.sql import Row, StructField, StructType, StringType, IntegerType

	sc = SparkContext('spark://master:7077', 'Spark SQL Intro')
	sqlContext = SQLContext(sc)
	dividends = sc.textFile("hdfs://master:9000/user/hdfs/NYSE_dividends_A.csv")
	dividends_parsed = dividends.filter(lambda r: not r.startswith('exchange')).map(lambda r: r.split(',')).map(
	lambda row: {'exchange': row[0], 'stock_symbol': row[1], 'date': row[2], 'dividends': float(row[3])})

jassinm

How to run Jupyterlab as a desktop app on Mac OSX

Dependency Injection in Functional Programming

[PyHUG] July: Use Python in Org-mode

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