Python_Course

I have started my journey of data science from here.If you also want to stat but don't know how?You are at right place.I have written very basic program with explanation in the comment.It will be useful for you also if you will have look at it,if you are also beginner.

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Name		Name	Last commit message	Last commit date
DemographicData.csv		DemographicData.csv
MovieRatings.csv		MovieRatings.csv
README.md		README.md
Sec2_1 Types of varible.ipynb		Sec2_1 Types of varible.ipynb
Sec2_2 Using variable .ipynb		Sec2_2 Using variable .ipynb
Sec2_3 Boolean Variables and Operators .ipynb		Sec2_3 Boolean Variables and Operators .ipynb
Sec2_4 While LOOP.ipynb		Sec2_4 While LOOP.ipynb
Sec2_5 For LOOP.ipynb		Sec2_5 For LOOP.ipynb
Sec2_6 & 7 The if statement.ipynb		Sec2_6 & 7 The if statement.ipynb
Sec3_1 Let's start to LIST.ipynb		Sec3_1 Let's start to LIST.ipynb
Sec3_2 Use of [ ] bracket in LIST.ipynb		Sec3_2 Use of [ ] bracket in LIST.ipynb
Sec3_3 SLICING of list.ipynb		Sec3_3 SLICING of list.ipynb
Sec3_4 TUPLES.ipynb		Sec3_4 TUPLES.ipynb
Sec3_5 Basic FUNCTION available in python.ipynb		Sec3_5 Basic FUNCTION available in python.ipynb
Sec3_6 INSTALLED PACAGE-checkpoint.ipynb		Sec3_6 INSTALLED PACAGE-checkpoint.ipynb
Sec3_7 & 8 Array in Python-checkpoint.ipynb		Sec3_7 & 8 Array in Python-checkpoint.ipynb
Sec4_1 Basketball Problem Statement.ipynb		Sec4_1 Basketball Problem Statement.ipynb
Sec4_10 Using .at() and .iat() and find individual element from data.ipynb		Sec4_10 Using .at() and .iat() and find individual element from data.ipynb
Sec4_2 Create MATRIX .ipynb		Sec4_2 Create MATRIX .ipynb
Sec4_3 & 4 Dictionary in PYTHON.ipynb		Sec4_3 & 4 Dictionary in PYTHON.ipynb
Sec4_5 First Visulization by BASKETBALL problem.ipynb		Sec4_5 First Visulization by BASKETBALL problem.ipynb
Sec4_6 Expand Visualization to BASKETBALL problem.ipynb		Sec4_6 Expand Visualization to BASKETBALL problem.ipynb
Sec4_7 & 8 Create 1 FUNCTION in python by BASKETBALL problem.ipynb		Sec4_7 & 8 Create 1 FUNCTION in python by BASKETBALL problem.ipynb
Sec4_9 DATA ANALYSIS of BASKETBALL problem.ipynb		Sec4_9 DATA ANALYSIS of BASKETBALL problem.ipynb
Sec5_1 Open File in PYTHON with help of PANDA.ipynb		Sec5_1 Open File in PYTHON with help of PANDA.ipynb
Sec5_2 & 3 Exploring your DATASET and RENAME Columns.ipynb		Sec5_2 & 3 Exploring your DATASET and RENAME Columns.ipynb
Sec5_4 Subsetting dataframes in PANDAS.ipynb		Sec5_4 Subsetting dataframes in PANDAS.ipynb
Sec5_6 Basic operation with DATA FRAME.ipynb		Sec5_6 Basic operation with DATA FRAME.ipynb
Sec5_7 FILTERING THE DATAFRAME.ipynb		Sec5_7 FILTERING THE DATAFRAME.ipynb
Sec5_8 Introduction to Seaborn.ipynb		Sec5_8 Introduction to Seaborn.ipynb
Sec5_9 & 10 VISUALIZING With SEABORN.ipynb		Sec5_9 & 10 VISUALIZING With SEABORN.ipynb
Sec6_1 What is Category data type.ipynb		Sec6_1 What is Category data type.ipynb
Sec6_2 Working with JointPlots.ipynb		Sec6_2 Working with JointPlots.ipynb
Sec6_3 HISTOGRAM.ipynb		Sec6_3 HISTOGRAM.ipynb
Sec6_4 Stacked Histogram in PYTHON.ipynb		Sec6_4 Stacked Histogram in PYTHON.ipynb
Sec6_5 Creating a KDE PLOT.ipynb		Sec6_5 Creating a KDE PLOT.ipynb
Sec6_6 Working with SUBPLOTS().ipynb		Sec6_6 Working with SUBPLOTS().ipynb
Sec6_7 Violinplots vs Boxplots.ipynb		Sec6_7 Violinplots vs Boxplots.ipynb
Sec6_8 Creating a Facet Grid.ipynb		Sec6_8 Creating a Facet Grid.ipynb
Sec6_9 Coordinates and Diagonals.ipynb		Sec6_9 Coordinates and Diagonals.ipynb

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