Learning Python

Music Hackathon entry:
Lyric Chart — “Chart the most used words in a Song.” https://replit.com/@JulioRodriguez5/lyric-chart-v1#main.py

Goals version 1:
- consume web api to find lyrics
- analyze songs lyrics of most used words
- render generate chart (see samples below)

Future goals :
- create UI (instead of Command Line only)
- analyze songs lyrics for sentiment and category

“I Will Always Love You” — 59 unique words

“Breathe” — 110 unique words

“American Woman” — 77 unique words

“Public Enemy no.1" — 345 unique words

“Don’t Matter To Me” — 98 unique words

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Notes from Python learnings and inspiration…..

• pokemon — API:
  list of all Pokemon — https://pokeapi.co/api/v2/generation/1/ (1–7)
• Setup: https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
• Entities:
  https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking
• Text analytics:
  https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/python
• Genius API https://github.com/johnwmillr/LyricsGenius
• PyLyrics:
  https://github.com/geekpradd/PyLyrics/tree/master/PyLyrics

In person learning at Byte Academy — Python Foundation
Day1— basics of python
Day2 — try/except
Day3 —Quiz
Day4 — lists
Day5 — files read & write
Day6— requests & web API’s
Day7 — Review all material
Day8 — Test ?

Online Learning at DataCamp — Python Programmer track

A Python Programmer uses their programming skills to wrangle data and build tools for data analysis.

https://www.datacamp.com — CAREER TRACK

“SKILL TRACK Python Programming Discover important data structures like dictionaries and DataFrames, visualize real world data with matplotlib, and learn the art of writing your own Python functions”

13 Courses:
1) Introduction to Python
2) Intermediate Python for Data Science
3) Python Data Science Toolbox (Part 1)
4) Python Data Science Toolbox (Part 2)
5) Importing Data in Python (Part 1)
6) Importing Data in Python (Part 2)
7) Cleaning Data in Python
8) pandas Foundations
9) Manipulating DataFrames with pandas
10) Merging DataFrames with pandas
11) Introduction to Relational Databases in SQL
12) Introduction to Shell for Data Science
13) Conda Essentials

Completed first Course on May 30, 2019

Datasets:

Institute for Health Metrics and Evaluation — http://ghdx.healthdata.org/data-type/estimate

Google Datasets:
https://toolbox.google.com/datasetsearch

Resources:

Google-Images-Search 1.0.0- https://pypi.org/project/Google-Images-Search/

DataQuest- https://www.dataquest.io/blog/python-api-tutorial/

W3Schools — Python
https://www.w3schools.com/python/python_conditions.asp

Python.org — https://wiki.python.org/moin/BeginnersGuide