Filename Size 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 118.3 MB 1. Installations/2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html 155 B 1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 46.3 MB 1. Installations/4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html 4.2 KB 1. Installations/5. Installing Anaconda Distribution for Linux.mp4 114.8 MB 10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 29.9 MB 10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 31.8 MB 10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 38.3 MB 10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 31.4 MB 10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 22.1 MB 10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 46.4 MB 10. Element Selection Operations in DataFrame Structures/7. Quiz.html 205 B 11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp4 33.6 MB 11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp4 15.6 MB 11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 67 MB 11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp4 34.5 MB 11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 51.6 MB 11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp4 39.7 MB 11. Structural Operations on Pandas DataFrame/7. Quiz.html 205 B 12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 42.7 MB 12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp4 24.6 MB 12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 31.3 MB 12. Multi-Indexed DataFrame Structures/4. Quiz.html 205 B 13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 63.8 MB 13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 57.3 MB 13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 30.5 MB 13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 60.2 MB 13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 40.7 MB 13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 56.1 MB 13. Structural Concatenation Operations in Pandas DataFrame/7. Quiz.html 205 B 14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp4 37.7 MB 14. Functions That Can Be Applied on a DataFrame/10. Quiz.html 205 B 14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 42.9 MB 14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 90.7 MB 14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 46.6 MB 14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 88.1 MB 14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp4 29.2 MB 14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp4 24.4 MB 14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 47.1 MB 14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 41.4 MB 15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp4 39.1 MB 15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 54.2 MB 15. Pivot Tables in Pandas Library/3. Quiz.html 205 B 16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp4 34.6 MB 16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 64.3 MB 16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp4 21.8 MB 16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp4 35.7 MB 16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 19.7 MB 16. File Operations in Pandas Library/6. Quiz.html 205 B 17. Code Files And Resources Python data analysis and visualization/1. Data Visualisation - Matplotlib Files.html 170 B 17. Code Files And Resources Python data analysis and visualization/2. Data Visualisation - Seaborn Files.html 170 B 17. Code Files And Resources Python data analysis and visualization/3. Data Visualisation - Geoplotlib.html 168 B 18. Introduction to Data Visualization with Python/1. Introduction to Data Visualization with Python.mp4 12.8 MB 18. Introduction to Data Visualization with Python/2. FAQ regarding Data Visualization, Python.html 8.6 KB 19. Fundamentals of Python 3/1. Data Types in Python.mp4 47.1 MB 19. Fundamentals of Python 3/10. Exercise - Solution in Python.mp4 51.9 MB 19. Fundamentals of Python 3/11. Quiz.html 205 B 19. Fundamentals of Python 3/2. Operators in Python.mp4 35.7 MB 19. Fundamentals of Python 3/3. Conditionals in Python.mp4 41.2 MB 19. Fundamentals of Python 3/4. Loops in Python.mp4 58.8 MB 19. Fundamentals of Python 3/5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4 75.3 MB 19. Fundamentals of Python 3/6. Data Type Operators and Methods in Python.mp4 43.9 MB 19. Fundamentals of Python 3/7. Modules in Python.mp4 23.9 MB 19. Fundamentals of Python 3/8. Functions in Python.mp4 28.9 MB 19. Fundamentals of Python 3/9. Exercise - Analyse in Python.mp4 8.5 MB 2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.3 MB 2. NumPy Library Introduction/2. The Power of NumPy.mp4 59.9 MB 2. NumPy Library Introduction/3. Quiz.html 205 B 20. Object Oriented Programming (OOP)/1. Logic of Object Oriented Programming.mp4 17.4 MB 20. Object Oriented Programming (OOP)/2. Constructor in Object Oriented Programming (OOP).mp4 35.8 MB 20. Object Oriented Programming (OOP)/3. Methods in Object Oriented Programming (OOP).mp4 25.1 MB 20. Object Oriented Programming (OOP)/4. Inheritance in Object Oriented Programming (OOP).mp4 34.6 MB 20. Object Oriented Programming (OOP)/5. Overriding and Overloading in Object Oriented Programming (OOP).mp4 62.7 MB 20. Object Oriented Programming (OOP)/6. Quiz.html 205 B 21. Matplotlib/1. What is Matplotlib.mp4 19.1 MB 21. Matplotlib/10. Quiz.html 205 B 21. Matplotlib/2. Using Pyplot.mp4 28.2 MB 21. Matplotlib/3. Pyplot – Pylab - Matplotlib.mp4 28.4 MB 21. Matplotlib/4. Figure, Subplot and Axex.mp4 69.9 MB 21. Matplotlib/5. Figure Customization.mp4 63.3 MB 21. Matplotlib/6. Plot Customization.mp4 27.4 MB 21. Matplotlib/7. Grid, Spines, Ticks.mp4 23.9 MB 21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 111.2 MB 21. Matplotlib/9. Basic Plots in Matplotlib II.mp4 54.8 MB 22. Seaborn/1. What is Seaborn.mp4 13.6 MB 22. Seaborn/2. Controlling Figure Aesthetics in Seaborn.mp4 41.8 MB 22. Seaborn/3. Example in Seaborn.mp4 54.9 MB 22. Seaborn/4. Color Palettes in Seaborn.mp4 48.3 MB 22. Seaborn/5. Basic Plots in Seaborn.mp4 98.8 MB 22. Seaborn/6. Multi-Plots in Seaborn.mp4 43 MB 22. Seaborn/7. Regression Plots and Squarify in Seaborn.mp4 60.1 MB 22. Seaborn/8. Quiz.html 205 B 23. Geoplotlib/1. What is Geoplotlib.mp4 34.2 MB