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37 | 37 |
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38 | 38 | 这套教程包含从初级到进阶的内容，适合初学者和希望进阶建立知识体系的数据科学从业者、竞赛爱好者。请关注公众号AI圈终身学习(ID:AIHomie)组队学习活动。 |
39 | 39 |
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40 | | ---- |
41 | | - |
42 | | -# Pandas Exercises |
43 | | - |
44 | | -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. |
45 | | -Don't get me wrong, tutorials are great resources, but to learn is to do. So unless you practice you won't learn. |
46 | | - |
47 | | -There will be three different types of files: |
48 | | - 1. Exercise instructions |
49 | | - 2. Solutions without code |
50 | | - 3. Solutions with code and comments |
51 | | - |
52 | | -My suggestion is that you learn a topic in a tutorial or video and then do exercises. |
53 | | -Learn one more topic and do exercises. If you got the answer wrong, don't go directly to the solution with code. |
54 | | - |
55 | | -Suggestions and collaborations are more than welcome. Please open an issue or make a PR. :) |
56 | | - |
57 | | -## Lessons |
58 | | - |
59 | | -| | | | |
60 | | -|:-----------------------------------------------:|:----------------------------------------------:|:-----------------:| |
61 | | -|[Getting and knowing](#getting-and-knowing) | [Merge](#merge) |[Time Series](#time-series)| |
62 | | -|[Filtering and Sorting](#filtering-and-sorting) | [Stats](#stats) |[Deleting](#deleting) | |
63 | | -|[Grouping](#grouping) | [Visualization](#visualization) |Indexing | |
64 | | -|[Apply](#apply) | [Creating Series and DataFrames](#creating-series-and-dataframes) |Exporting| |
65 | | - |
66 | | -### [Getting and knowing](https://github.com/guipsamora/pandas_exercises/tree/master/01_Getting_%26_Knowing_Your_Data) |
67 | | -[Chipotle](https://github.com/guipsamora/pandas_exercises/tree/master/01_Getting_%26_Knowing_Your_Data/Chipotle) |
68 | | -[Occupation](https://github.com/guipsamora/pandas_exercises/tree/master/01_Getting_%26_Knowing_Your_Data/Occupation) |
69 | | -[World Food Facts](https://github.com/guipsamora/pandas_exercises/tree/master/01_Getting_%26_Knowing_Your_Data/World%20Food%20Facts) |
70 | | - |
71 | | -### [Filtering and Sorting](https://github.com/guipsamora/pandas_exercises/tree/master/02_Filtering_%26_Sorting) |
72 | | -[Chipotle](https://github.com/guipsamora/pandas_exercises/tree/master/02_Filtering_%26_Sorting/Chipotle) |
73 | | -[Euro12](https://github.com/guipsamora/pandas_exercises/tree/master/02_Filtering_%26_Sorting/Euro12) |
74 | | -[Fictional Army](https://github.com/guipsamora/pandas_exercises/tree/master/02_Filtering_%26_Sorting/Fictional%20Army) |
75 | | - |
76 | | -### [Grouping](https://github.com/guipsamora/pandas_exercises/tree/master/03_Grouping) |
77 | | -[Alcohol Consumption](https://github.com/guipsamora/pandas_exercises/tree/master/03_Grouping/Alcohol_Consumption) |
78 | | -[Occupation](https://github.com/guipsamora/pandas_exercises/tree/master/03_Grouping/Occupation) |
79 | | -[Regiment](https://github.com/guipsamora/pandas_exercises/tree/master/03_Grouping/Regiment) |
80 | | - |
81 | | -### [Apply](https://github.com/guipsamora/pandas_exercises/tree/master/04_Apply) |
82 | | -[Students Alcohol Consumption](https://github.com/guipsamora/pandas_exercises/tree/master/04_Apply/Students_Alcohol_Consumption) |
83 | | -[US_Crime_Rates](https://github.com/guipsamora/pandas_exercises/tree/master/04_Apply/US_Crime_Rates) |
84 | | - |
85 | | -### [Merge](https://github.com/guipsamora/pandas_exercises/tree/master/05_Merge) |
86 | | -[Auto_MPG](https://github.com/guipsamora/pandas_exercises/tree/master/05_Merge/Auto_MPG) |
87 | | -[Fictitious Names](https://github.com/guipsamora/pandas_exercises/tree/master/05_Merge/Fictitous%20Names) |
88 | | -[House Market](https://github.com/guipsamora/pandas_exercises/tree/master/05_Merge/Housing%20Market) |
89 | | - |
90 | | -### [Stats](https://github.com/guipsamora/pandas_exercises/tree/master/06_Stats) |
91 | | -[US_Baby_Names](https://github.com/guipsamora/pandas_exercises/tree/master/06_Stats/US_Baby_Names) |
92 | | -[Wind_Stats](https://github.com/guipsamora/pandas_exercises/tree/master/06_Stats/Wind_Stats) |
93 | | - |
94 | | -### [Visualization](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization) |
95 | | -[Chipotle](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization/Chipotle) |
96 | | -[Titanic Disaster](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization/Titanic_Desaster) |
97 | | -[Scores](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization/Scores) |
98 | | -[Online Retail](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization/Online_Retail) |
99 | | -[Tips](https://github.com/guipsamora/pandas_exercises/tree/master/07_Visualization/Tips) |
100 | | - |
101 | | -### [Creating Series and DataFrames](https://github.com/guipsamora/pandas_exercises/tree/master/08_Creating_Series_and_DataFrames) |
102 | | -[Pokemon](https://github.com/guipsamora/pandas_exercises/tree/master/08_Creating_Series_and_DataFrames/Pokemon) |
103 | | - |
104 | | -### [Time Series](https://github.com/guipsamora/pandas_exercises/tree/master/09_Time_Series) |
105 | | -[Apple_Stock](https://github.com/guipsamora/pandas_exercises/tree/master/09_Time_Series/Apple_Stock) |
106 | | -[Getting_Financial_Data](https://github.com/guipsamora/pandas_exercises/tree/master/09_Time_Series/Getting_Financial_Data) |
107 | | -[Investor_Flow_of_Funds_US](https://github.com/guipsamora/pandas_exercises/tree/master/09_Time_Series/Getting_Financial_Data) |
108 | | - |
109 | | -### [Deleting](https://github.com/guipsamora/pandas_exercises/tree/master/10_Deleting) |
110 | | -[Iris](https://github.com/guipsamora/pandas_exercises/tree/master/10_Deleting/Iris) |
111 | | -[Wine](https://github.com/guipsamora/pandas_exercises/tree/master/10_Deleting/Wine) |
112 | | - |
113 | | - |
114 | | - |
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