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Pandas Overview(Hindi)
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Classroom Contents
Data Analysis and Visualization in Hindi
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- 1 Why Data Analysis and Visualization(Hindi)
- 2 Download and Install Anaconda(Hindi)
- 3 Jupyter Notebook Tutorial (Hindi)
- 4 NumPy Overview (Hindi)
- 5 Create NumPy Arrays (Hindi)
- 6 Create Arrays Using Numpy Functions(Hindi)
- 7 NumPy : Reshaping data(Hindi)
- 8 NumPy: -1 in reshape(Hindi)
- 9 NumPy : Seed Function (Hindi)
- 10 NumPy : Indexing And Slicing of 1-d array(Hindi)
- 11 Numpy : 2-d Matrix - Indexing and Slicing (Hindi)
- 12 Numpy : View Vs Copy(Hindi)
- 13 NumPy : Conditional Selection(Hindi)
- 14 Numpy: Operations on array with scaler(Hindi)
- 15 NumPy : operations on two or more array(Hindi)
- 16 Some more useful numpy functions(Hindi)
- 17 NumPy Axis (Hindi)
- 18 NumPy : shuffle and unique (Hindi)
- 19 NumPy : Horizontal and Vertical Stacking(Hindi)
- 20 NumPy Exercise (Hindi)
- 21 NumPy : Exercise Solution (Hindi)
- 22 Numpy vs python lists [Hindi]
- 23 Pandas Overview(Hindi)
- 24 Read CSV Files using pandas
- 25 Pandas : Selecting Columns(Hindi)
- 26 Pandas : Selecting rows using square brackets
- 27 Pandas : iloc (Hindi)
- 28 Pandas : Loc
- 29 Analyse World Happiness Report Pandas Exercise
- 30 [Solution]Analyse World Happiness Report Solution
- 31 Pandas Series Part 1
- 32 Pandas Series [2]
- 33 Different Ways to Create Pandas Series
- 34 Pandas : Sort Series
- 35 Series to list
- 36 Pandas Series : nsmalest nlargest idxmin idxmax
- 37 Pandas : Index Object
- 38 Pandas : Filter Data
- 39 Pandas: Filter Data Part 2
- 40 pd.DataFrame
