PyDataWorkshop.github.io/newindex.html at master · PyDataWorkshop/PyDataWorkshop.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
<style>
#header {
    background-color:lightblue;
    color:black;
    text-align:center;
    padding:5px;
}
#nav {
    line-height:30px;
    background-color:#eeeeee;
    height:300px;
    width:100px;
    float:left;
    padding:5px;
}
#section {
    width:550px;
    float:left;
    padding:10px;
}
#footer {
    background-color:lightblue;
    color:black;
    clear:both;
    text-align:center;
    padding:5px;
}
</style>

<body>

<div id="header">
<h1>PyDataWorkshop.github.io</h1>
</div>
<br><center>
<style type="text/css">
.tg  {border-collapse:collapse;border-spacing:1;}
.tg td{font-family:Arial, sans-serif;font-size:14px;padding:10px 5px;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;}
.tg th{font-family:Arial, sans-serif;font-size:14px;font-weight:normal;padding:10px 5px;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;}
.tg .tg-b44r{background-color:#cbcefb;vertical-align:top}
.tg .tg-fqpo{background-color:#cbcefb}
</style>

<a href=PyDataWorkshop.github.io"> Main Menu </a> | <a href=PyDataWorkshop.github.io/numpy"> numpy Menu </a> | <a href=PyDataWorkshop.github.io/scipy"> scipy Menu </a> | <a href="index.html"> pandas Menu </a>
<h5>WHAT IS PANDAS?</h5>

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.

Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.


<table class="tg" style="undefined;table-layout: fixed; width: 750px">
<colgroup>
<col style="width: 250px">
<col style="width: 250px">
<col style="width: 250px">
</colgroup>
  <tr>
    <td class="tg-b44r"><b><a href="basicstats.html">Data Manipulations with pandas</a></b><br><br>-Series<br>- Dataframes<br>- Split,Apply,Combine</td>
    <td class="tg-b44r"><b><a href="correlation.html">Correlation</a></b><br><br> Variables and Types<br>Versions<br>Importing Modules</td>
    <td class="tg-b44r"><b><a href="testingnormality.html">Testing Normality</a></b><br><br>- Fundamentals<br>- Random Numbers<br>- Arrays and Matrices<br>- Linear Algebra</td>
  </tr>
  <tr>
    <td class="tg-b44r"><b><a href="scipy/index.html">Scientific Computing with Python</a></b><br><br>Statistics with SciPy</td>
    <td class="tg-b44r"><b><a href="linearregression.html">Linear Regression</a></b><br><br>- seaborn<br>- bokeh<br>- ggplot<br><br></td>
    <td class="tg-b44r">Computational Exercises <br><br>- The Monty Hall Problem<br>- Gambler's Ruin</td>
  </tr>
  <tr>
    <td class="tg-b44r"><b><a href="scikitlearn/index.html">SciKit Learn Toolkit</a></b></td>
    <td class="tg-b44r"><b><a href="machinelearning/index.html">SciKit Learn: Machine Learning </a></b><br><br>- Regression<br>- Classification<br></td>
    <td class="tg-b44r">Other Tools<br><br>- NetworkX<br>- statsmodel<br>- patsy<br>- scrapy<br><br></td>
  </tr>
</table>
</center>
<br>


<div id="footer">
PyDataWorkshop.github.io
</div>

</body>