Login and get codingLet's get started with Pandas! In case you are not aware of who, or what,

`pandas`

is, pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.The two primary data structures in

`pandas`

are theand theSeries. The simplest way to visualise these two structures is to use an analogy with your favourite Spreadsheet application. Think of aDataFrame`pandas`

Series as Column A of Sheet 1 of your spreadsheet. Looking at the screen grab below it has 1 dimension (Column A) that represents the Series values, plus the row numbers which represent the indexes. A Dataframe is the whole spreadsheet, 2 dimensions or multiple columns, but more of that later.This is what a Series looks like in a Spreadsheet.

In a spreadsheet the row indexes typically start at

`1`

and the column names typically start at`A`

. The Series called`A`

above has four value`[1, 2, 3, 4]`

.This is what a similar Series looks like in

`pandas`

:>>> x 0 1 1 2 2 3 Name: Fred, dtype: int64The

`pandas`

Series Python variable is named`x`

. The default index, like all other Python objects, are zero-based so the index values are`[0, 1, 2]`

and the series values are`[1, 2, 3]`

. The sample`x`

series shown is called`Fred`

and all the series values are of type`int64`

.## Creating Series

Now that you know everything that you need to know about

`pandas`

Series it's time for you to start creating some series of your own. In this Bite you are asked to complete a number of functions that each create a`pandas`

Series. How you create each series is up to you but if you do your research you'll find that Series can be created from all different type of Python Objects:

- Create a Series with values
`[1, 2, 3, 4, 5]`

of type`int64`

, don't worry about the index but make`Fred`

the name of the Series- Create a Series with values
`[0.000, 0.001, ... 0.999, 1.000]`

of type`float64`

, don't worry about the index- Create a Series with values
`[1, 2, ... 25, 26]`

of type`int64`

, and add an index with values`[a, b, ... y, z]`

so index`a = 1`

,`b = 2`

...`y = 25`

,`z = 26`

- Create a Series with values
`[A, B, ... Y, Z]`

of type`object`

, and add an index with values`[101, 102, ... 125, 126]`

so index`101 = 'A'`

,`102 = 'B'`

...`125 = 'Y'`

,`126 = 'Z'`

In the the next Bite we'll look at getting the values out of the Series in a useful manner.

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