pyembeds-sssa 0.0.7

A small package for Introduction to Programming and Machine Learning Course

pyEmbedsSSSA Package

Package for Introduction to Programming and Machine Learning in Python

Installing pyEmbedsSSSA

pip install pyembeds-sssa

USAGE

• AUTOTESTING ASSIGNMENT

from pyembeds.testing.auto_testing import run_and_test
# Simple Test
def asgn01_01Hello_world():
    print('Ciao, mondo!')
run_and_test([], ["Ciao, mondo!"], asgn01_01Hello_world)

• TESTING DOWNLOAD FILE FUNCTION

from pyembeds.data.load_data import donwload_file
url = 'https://raw.githubusercontent.com/EMbeDS-education/SNS-IProML2022/main/jupyter/jupyterNotebooks/data/WBCD.csv'
donwload_file(url)

• LOAD CAPYTHONE ASSIGNMENT DATA

from pyembeds.data.load_data import load_capythone_data
data = load_capythone_data()
reviews = data['reviews']
positive_word = data['positive_word']
negative_word = data['negative_word']

• LOAD WORDCLOUD ASSIGNMENT DATA

from pyembeds.data.load_data import load_wordcloud_ita_data
data = load_wordcloud_ita_data()
text = data['manzoni']
stop_words = data['stopwords_italian']

• VISUALIZATION FUNCTION

from pyembeds.vis.utils import draw_euclidean_distance
draw_euclidean_distance((20, 10), (5, 0), (5, 20))

Course responsible:

• Andrea Vandin, [e-mail]
• Daniele Licari, [e-mail]

Description:

The course introduces students to programming and data analysis, using python as a reference language.

• Module 1 Introduces students to the fundamental principles of structured programming with basic applications to data processing

• Module 2 Introduces the students to the components of typical data analysis processes and machine learning pipelines.