Andrew Magill andrewmagill

Mandelbrot in Mojo with Python plots

Not only Mojo is great for writing high-performance code, but it also allows us to leverage huge Python ecosystem of libraries and tools. With seamless Python interoperability, Mojo can use Python for what it's good at, especially GUIs, without sacrificing performance in critical code. Let's take the classic Mandelbrot set algorithm and implement it in Mojo.

We'll introduce a Complex type and use it in our implementation.

Mandelbrot in python

Haskeller Competency Matrix

See also List of materials about Software Design in Haskell

	Junior	Middle	Senior	Architect
Haskell level	Basic Haskell	Intermediate Haskell	Advanced Haskell	Language-agnostic
Haskell knowledge scope	Learn you a Haskell	Get programming with Haskell	Haskell in Depth	Knows several languages from different categories
	Get programming with Haskell	Haskell in Depth	Functional Design and Architecture
	Soar with Haskell	[Soar

Array

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

You can query against relationships using mongodb's $elemMatch syntax. E.g.,

$ metadata-list -v -Q '{"value._relationships": {"$elemMatch": {"@id": "1539251546393416166-242ac11f-0001-012"}}}'

General guide:

http://pwr.la.psu.edu/resources/graduate-writing-center/handouts-1/WritingProposals.pdf/

From a computer science professor, but looks general

http://jeapostrophe.github.io/2013-03-26-thesis-p-post.html

Another CS prof (in PL)

http://matt.might.net/articles/advice-for-phd-thesis-proposals/

Also from a computer science dept in UK:

	# `python-base` sets up all our shared environment variables
	FROM python:3.8.1-slim as python-base

	# python
	ENV PYTHONUNBUFFERED=1 \
	# prevents python creating .pyc files
	PYTHONDONTWRITEBYTECODE=1 \
	\
	# pip
	PIP_NO_CACHE_DIR=off \

-#!/usr/bin/env python
-"""
-Remove emoji from a text file and print it to stdout.
-Usage
------
-    python remove-emoji.py input.txt > output.txt
-"""

	import warnings
	from skimage.measure import compare_ssim
	from skimage.transform import resize
	from scipy.stats import wasserstein_distance
	from scipy.misc import imsave
	from scipy.ndimage import imread
	import numpy as np
	import cv2

	##

	# Install tmux 2.8 on Centos

	# install deps
	yum install gcc kernel-devel make ncurses-devel

	# cd src
	cd /usr/local/src

	# DOWNLOAD SOURCES FOR LIBEVENT AND MAKE AND INSTALL
	curl -LO https://github.com/libevent/libevent/releases/download/release-2.1.8-stable/libevent-2.1.8-stable.tar.gz