From a023af857196f347ef8f822a484da0b81ba2154a Mon Sep 17 00:00:00 2001 From: Badr Ghazlane Date: Sun, 26 Sep 2021 17:42:03 +0200 Subject: [PATCH] fix: fix typos --- one_md_per_day_format/piscine/Week1/day1.md | 2 +- one_md_per_day_format/piscine/Week1/day2.md | 2 +- one_md_per_day_format/piscine/Week1/day5.md | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/one_md_per_day_format/piscine/Week1/day1.md b/one_md_per_day_format/piscine/Week1/day1.md index d54535a..5f2122f 100644 --- a/one_md_per_day_format/piscine/Week1/day1.md +++ b/one_md_per_day_format/piscine/Week1/day1.md @@ -404,7 +404,7 @@ This can be done in three steps: Get the max, create a boolean mask that indicat --- -## Exercise 9 Football tournament +# Exercise 9 Football tournament The goal of this exercise is to learn to use permutations, complex diff --git a/one_md_per_day_format/piscine/Week1/day2.md b/one_md_per_day_format/piscine/Week1/day2.md index ef23f76..a11c182 100644 --- a/one_md_per_day_format/piscine/Week1/day2.md +++ b/one_md_per_day_format/piscine/Week1/day2.md @@ -42,7 +42,7 @@ It contains ALL you need to know about Pandas. - https://jakevdp.github.io/PythonDataScienceHandbook/03.04-missing-values.html -# Exercice 1 +# Exercice 1 Your first DataFrame The goal of this exercise is to learn to create basic Pandas objects. diff --git a/one_md_per_day_format/piscine/Week1/day5.md b/one_md_per_day_format/piscine/Week1/day5.md index 92964f6..131ce7c 100644 --- a/one_md_per_day_format/piscine/Week1/day5.md +++ b/one_md_per_day_format/piscine/Week1/day5.md @@ -32,7 +32,7 @@ Pandas website - https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf - https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/ -# Exercise 1 +# Exercise 1 Series The goal of this exercise is to learn to manipulate time series in Pandas. @@ -80,7 +80,7 @@ The goal of this exercise is to learn to manipulate time series in Pandas. If the `NaN` values have been dropped the solution is also accepted. The solution uses `rolling().mean()`. -# Exercise 2 +# Exercise 2 Financial data The goal of this exercise is to learn to use Pandas on Time Series an on Financial data.