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About Class

This class will include the hands-on guide to object-oriented programming language working with a database.
The web frames and data analysis are present in python.
The course of python programming will start with the programming and goes further at every stage of development.
  The detailed database programming is gained and operation on data is performed.
The course will include working with data analysis tools like pandas, Matplotlib and they will provide the perfect platform for machine learning.

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1) Introduction

• History
• Features
• Installation Process
• Comment
• Identifiers
• Reserved Words
• Arithmetic Operators
• Assignment Operators
• Relational Operators
• Membership Operators
• Identity Operators
• Logical Operators
• Bitwise Operator
• operators precedence
• Libraries

2) Control Flow Statement

• Conditional statements
• For Loop
• While Loop
• Break Statement
• continue statement
• Pass Statement
• Exception Handling

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3) User Defined Function

• Functions
• Function With Arguments
• Recursion Function

4) Data Structure

• Data Structure
• Python Lists
• Tuples
• Dictionary

5) Module

• Math Module
• Random Module
• Tkinter Module
• SYS Module
• Time Module
• DateTime Module

6) Array

• Array
• 2D Array

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7) Dtata Processing With Pandas

• Pandas Dataframe
• Pandas Groupby
• Pie chart pandas
• Pandas Scatter Plot
• Pandas bar plot
• Pands Box Plot
• Pandas Fillna
• Pandas not nul
• Pandas Dropna
• Interpolate
• Replace
• isnull()
• Simple Regression
• Multiple Regression
• Menu4
• Logistic Regression

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8) Dtata Visualization

• Matplotlib pie Chart
• Matplotlib Scatter Plot
• Histogram Matplotlib Example
• Bar Chart in Matplotlib
• Quiver Plot
• Meshgrid Python
• Contour Plot Python
• Seaborn Scatter Plot
• Regression Plot
• Seaborn Pairplot
• Seaborn Heatmap
• Seaborn Boxplot
• Violin Plot
• Plot Points
• Matplotlib Line Plot in Python
• Countplot

• Seaborn Barplot
• Seaborn Python