from dataclasses import dataclass
from typing import Sequence
@dataclass(frozen=True)
class Portfolio:
name: str = 'Laban Kiplagat'
location: str = 'Nairobi Kenya'
profile: str = 'Python-Django Developer, Linux User, React Dev'
experience: str = '3+ years'
hobbies: Sequence[str] = 'Novels', 'Coffee', 'open source', 'clean code'
@dataclass(frozen=True)
class Skills:
languages: Sequence[str] = 'python', 'shell', 'dart', 'JavaScript',
operation_systems: Sequence[str] = 'linux', 'Unix'
test_frameworks: Sequence[str] = 'pytest', 'pyats', 'unittests', 'doctest', 'selenium', 'celery'
web_frameworks: Sequence[str] = 'flask', 'django','django rest-framework', 'react.js'
code_quality: Sequence[str] = 'flake8', 'mypy', 'pylint', 'black', 'pydocstyle'
devops: Sequence[str] = 'jenkins', 'travis', 'docker'
version_control: Sequence[str] = 'git'
approaches: Sequence[str] = 'object oriented', 'asyncio'
ongoing: Sequence[str] = 'vue.js'
@dataclass(frozen=True)
class Social:
github: str = 'https://www.github.com/labohkip81'
codewars: str = 'https://www.codewars.com/users/labohkip81'
twitter: str = 'https://twitter.com/kiplagat_laban'
linkedin: str = 'https://www.linkedin.com/in/labohkip81'
portfolio: str = 'https://labohkip81.github.io'
email: str = 'labankiplagat81@gmail.com'
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Emergency_response_system
Emergency_response_system PublicThis is Project aims at providing an alternative method of reporting and responding to emergency occurrences by use of machine learning and over-the-internet communication
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MetaDataDHIS2
MetaDataDHIS2 PublicForked from karimkkanji/MetaDataDHIS2
A metadata dictionary for DHIS2
JavaScript 1
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