mariusvniekerk

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# platform: linux-64
# input_hash: cb457126acf41e8a3480f54756513e02590c77c265bafd9df7adb5d621b2a114
@EXPLICIT
https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2021.10.8-ha878542_0.tar.bz2#575611b8a84f45960e87722eeb51fa26
https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.36.1-hea4e1c9_2.tar.bz2#bd4f2e711b39af170e7ff15163fe87ee
https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-11.2.0-h5c6108e_11.tar.bz2#2dcb18a9a0fa31f4f29e5a9b3eade394
https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-11.2.0-he4da1e4_11.tar.bz2#0bf83958e788f1e75ba26154cb702afe
https://conda.anaconda.org/conda-forge/linux-64/pandoc-2.14.2-h7f98852_0.tar.bz2#036a4ef13793d1bd771090b49c4c2550

mariusvniekerk

{
  "$schema": "https://json.schemastore.org/resume",
  "basics": {
    "name": "Marius van Niekerk",
    "label": "Full stack data architect",
    "image": "https://media-exp3.licdn.com/dms/image/C5603AQFrDJK_mgcrcw/profile-displayphoto-shrink_800_800/0/1517471991740?e=1632355200&v=beta&t=_7hmOn6aEHB_I0qYiD5anOdcLwWb9w2xljcQj9QEVww",
    "email": "marius.v.niekerk@gmail.com",
    "phone": "919-985-9072",
    "summary": "As both a software developer and a statistician I have a keen insight into how data scientists want to write code, and how to deploy that to production environments.  On the spectrum of data science, I lean much more heavily towards the software engineering side.\n\nI believe in getting working solutions off the ground as quickly as possible with rapid iteration cycles.  I enjoy picking up new tools, languages, and codebases as projects require them.\n\nI'm an active proponent and contributor to various open source initiatives.",
    "location": {

mariusvniekerk

import distributed
import logging
import time
import os
import psutil
logfmt = '%(asctime)s %(process)d:%(levelname)s:%(name)s:%(message)s'
logging.basicConfig(
    level=logging.INFO,
    format=logfmt)
for h in logging.root.handlers:

mariusvniekerk

from typing import TypeVar, Generic

import pytest
from pydantic import BaseModel, PrivateAttr
from pydantic.generics import GenericModel


class Regular(BaseModel):
    value: int

mariusvniekerk

mariusvniekerk

mariusvniekerk

mariusvniekerk

About zlib

Home: http://zlib.net/

Package license: zlib

Feedstock license: BSD 3-Clause

Summary: Massively spiffy yet delicately unobtrusive compression library

mariusvniekerk

license: mit

mariusvniekerk