Eduardo Grübler eduardobsg

Add a filter to git config by running the following command in bash inside the repo:

git config filter.strip-notebook-output.clean 'jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to=notebook --stdin --stdout --log-level=ERROR'

Create a .gitattributes file inside the directory with the notebooks
Add the following to that file:

*.ipynb filter=strip-notebook-output

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

	import pandas as pd
	import requests
	import datetime
	import csv
	import io
	from io import StringIO
	import warnings

	# Suppress the SettingWithCopyWarning
	warnings.filterwarnings("ignore", category=pd.errors.SettingWithCopyWarning)

	from langchain.llms import Anthropic
	from langchain.agents import load_tools, initialize_agent
	from langchain.tools import AIPluginTool
	PREFIX = """\n\nHuman: Answer the following questions as best you can. You have access to the following tools:"""
	SUFFIX = """Begin!

	Question: {input}
	\n\nAssistant:
	Thought:{agent_scratchpad}"""

	import numpy as np
	import pandas as pd


	# dropping tennis ball
	def problem1():

	dt = 1

	F = np.matrix([[1, dt, dt**2/2],

	require(quantmod)

	do_chart <- function(symbol) {
	quote <- getQuote(symbol)
	quote$Close <- quote$Last
	xts(OHLCV(quote), quote[,"Trade Time"],
	pct_change = quote[,"% Change"])
	}

	x <- readRDS("intraday-sp500.rds")

	cdb <- function(capital, data_aplicacao, data_resgate, di, pct_cdi){
	library(dplyr)
	library(bizdays)

	dias_corridos <- as.numeric(difftime(data_resgate, data_aplicacao, units = "days"))

	# computar biz days entre datas
	bizdays::create.calendar("Brazil/ANBIMA",
	bizdays::holidaysANBIMA,
	weekdays=c("saturday", "sunday"))

	library(tabulizer)
	library(tidyverse)

	arquivo <- "C:/Users/sillas.gonzaga/Downloads/gsa.pdf"

	tab <- tabulizer::extract_tables(arquivo, encoding = "UTF-8", method = "lattice")

	map(tab,dim)

	# extrair tabelas com 8 colunas

	library(httr)
	library(magrittr)
	library(xml2)
	library(rvest)

	url_raw <- "http://dados.cvm.gov.br/dados/FI/DOC/INF_DIARIO/DADOS/"
	output_file <- "fundos/api/informe_diario.csv"

	csv_links <- httr::GET(url_raw) %>%
	httr::content("text") %>%