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BSD-3-Clause

Pandas Exercises

Fed up with a ton of tutorials but no easy way to find exercises I decided to create a repo just with exercises to practice pandas. Don't get me wrong, tutorials are great resources, but to learn is to do. So unless you practice you won't learn.

There will be three different types of files:
      1. Exercise instructions
      2. Solutions without code
      3. Solutions with code and comments

My suggestion is that you learn a topic in a tutorial, video or documentation and then do the first exercises. Learn one more topic and do more exercises. If you are stuck, don't go directly to the solution with code files. Check the solutions only and try to get the correct answer.

Suggestions and collaborations are more than welcome.🙂 Please open an issue or make a PR indicating the exercise and your problem/solution.

Lessons

Getting and knowing Merge Time Series
Filtering and Sorting Stats Deleting
Grouping Visualization Indexing
Apply Creating Series and DataFrames Exporting

Getting and knowing

Chipotle
Occupation
World Food Facts

Filtering and Sorting

Chipotle
Euro12
Fictional Army

Grouping

Alcohol Consumption
Occupation
Regiment

Apply

Students Alcohol Consumption
US_Crime_Rates

Merge

Auto_MPG
Fictitious Names
House Market

Stats

US_Baby_Names
Wind_Stats

Visualization

Chipotle
Titanic Disaster
Scores
Online Retail
Tips

Creating Series and DataFrames

Pokemon

Time Series

Apple_Stock
Getting_Financial_Data
Investor_Flow_of_Funds_US

Deleting

Iris
Wine

Video Solutions

Video tutorials of data scientists working through the above exercises:

Data Talks - Pandas Learning By Doing

BSD 3-Clause License Copyright (c) 2018, Guilherme Samora All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

简介

pandas新手练习, from github,see www.pypandas.cn 展开 收起
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