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123 changes: 123 additions & 0 deletions Pandas/README.md
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# **Outline for Pandas**
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Explain what is Pandas, how many types are there for it, why do we need it.

## Series
### Constructions
- What is Series
- Why do we need Series
- How to create Series
- Creating Series from ndarray, dictionary
### Series Attributes
- index
- array
- values
- dtypes
- shape
- size
- transpose
- hasnans
- empty
- name
### Conversion
- to_numpy
- to _period
- to_list
- copy
- to_timestamp
- convert_dtype
- bool
### Indexing Iteration
- get
- loc
- iloc
- keys
- pop
- item
- items
### Binary Operator
- add
- sub
- mul
- div
- round
- dot
- product
### function aplication, groupBy and window
- apply
- transform
- map
- pipe
### computation / decriptive stats
- abs
- all
- any
- unique
- max
- mean
- median
- quantile
- mode
- nlargest
- value_counts
### Reindexing / selection / label manipulation
- idxmax
- idxmin
### missing data handling
- backfill
- bfill
- dropna
- ffill
- fillna
### Combining / comparing / joining / merging
- append
- compare
- update
### time sereis Related

## **Data Frame**
### constructor
- what is DataFreame
- why we need DataFrame
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Suggested change
- what is DataFreame
- why we need DataFrame
- why we need DataFrame
- what is DataFreame

Change the Order

- creating Dataframe
- creating dataframe from sereis , dictionary
### Attributes and underlying data
- index
- columns
- dtypes
- info
- values
- axes
- size
- shape
- memory_usage
- empty
### conversion
- bool
- copy
- convert_dtype
### indexing iteration
- head
- at
- loc
- iloc
- lookup
- where
- mask
- query
### Binary operator functions
- all series functions are valid here alo
- combine
- combine first
### Function application, GroupBy & window
- apply
- groupby
- rolling
- expanding
### Computations / descriptive stats
- abs
- all
- any
- corr
- corre

continue working