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[ DevCourseWeb com ] Udemy - Introduction to Python, Numpy & Pandas by AlgoLab Finance
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1. Python Quick Refresher
1. Introduction to Python.mp4
1. Introduction to Python.srt
10. Arithmetic Operators.mp4
10. Arithmetic Operators.srt
11. Comparison Operators.mp4
11. Comparison Operators.srt
12. Logical Operators.mp4
12. Logical Operators.srt
13. Conditional statements.mp4
13. Conditional statements.srt
14. Loops.mp4
14. Loops.srt
15. Sequences Lists.mp4
15. Sequences Lists.srt
16. Sequences Dictionaries.mp4
16. Sequences Dictionaries.srt
17. Sequences Tuples.mp4
17. Sequences Tuples.srt
18. Functions Built-in Functions.mp4
18. Functions Built-in Functions.srt
19. Functions User-defined Functions.mp4
19. Functions User-defined Functions.srt
2. Setting up Python.mp4
2. Setting up Python.srt
3. What is Jupyter.mp4
3. What is Jupyter.srt
4. Anaconda Installation Windows, Mac & Ubuntu.mp4
4. Anaconda Installation Windows, Mac & Ubuntu.srt
5. How to implement Python in Jupyter.mp4
5. How to implement Python in Jupyter.srt
6. Managing Directories in Jupyter Notebook.mp4
6. Managing Directories in Jupyter Notebook.srt
7. InputOutput.mp4
7. InputOutput.srt
8. Working with different datatypes.mp4
8. Working with different datatypes.srt
9. Variables.mp4
9. Variables.srt
2. Essential python libraries for data science
1. Installing Libraries.mp4
1. Installing Libraries.srt
2. Importing Libraries.mp4
2. Importing Libraries.srt
3. Pandas Library for Data Science.mp4
3. Pandas Library for Data Science.srt
4. NumPy Library for Data Science.mp4
4. NumPy Library for Data Science.srt
5. Pandas vs NumPy.mp4
5. Pandas vs NumPy.srt
6. Matplotlib Library for Data Science.mp4
6. Matplotlib Library for Data Science.srt
7. Seaborn Library for Data Science.mp4
7. Seaborn Library for Data Science.srt
3. Fundamental NumPy Properties
1. Introduction to NumPy arrays.mp4
1. Introduction to NumPy arrays.srt
2. Creating NumPy arrays.mp4
2. Creating NumPy arrays.srt
3. Indexing NumPy arrays.mp4
3. Indexing NumPy arrays.srt
4. Array shape.mp4
4. Array shape.srt
5. Iterating Over NumPy Arrays.mp4
5. Iterating Over NumPy Arrays.srt
4. Mathematics for Data Science
1. Basic NumPy arrays zeros().mp4
1. Basic NumPy arrays zeros().srt
10. Element wise addition.mp4
10. Element wise addition.srt
11. Element wise subtraction.mp4
11. Element wise subtraction.srt
12. Element wise multiplication.mp4
12. Element wise multiplication.srt
13. Element wise division.mp4
13. Element wise division.srt
14. Matrix multiplication.mp4
14. Matrix multiplication.srt
15. Statistics.mp4
15. Statistics.srt
2. Basic NumPy arrays ones().mp4
2. Basic NumPy arrays ones().srt
3. Basic NumPy arrays full().mp4
3. Basic NumPy arrays full().srt
4. Adding a scalar.mp4
4. Adding a scalar.srt
5. Subtracting a scalar.mp4
5. Subtracting a scalar.srt
6. Multiplying by a scalar.mp4
6. Multiplying by a scalar.srt
7. Dividing by a scalar.mp4
7. Dividing by a scalar.srt
8. Raise to a power.mp4
8. Raise to a power.srt
9. Transpose.mp4
9. Transpose.srt
5. Python Pandas DataFrames & Series
1. What is a Python Pandas DataFrame.mp4
1. What is a Python Pandas DataFrame.srt
10. Statistical summary of the DataFrame.mp4
10. Statistical summary of the DataFrame.srt
11. Slicing rows using bracket operators.mp4
11. Slicing rows using bracket operators.srt
12. Indexing columns using bracket operators.mp4
12. Indexing columns using bracket operators.srt
13. Boolean list.mp4
13. Boolean list.srt
14. Filtering Rows.mp4
14. Filtering Rows.srt
15. Filtering rows using & and operators.mp4
15. Filtering rows using & and operators.srt
16. Filtering data using loc().mp4
16. Filtering data using loc().srt
17. Adding and deleting rows and columns.mp4
17. Adding and deleting rows and columns.srt
18. Sorting Values.mp4
18. Sorting Values.srt
19. Exporting and saving pandas DataFrames.mp4
19. Exporting and saving pandas DataFrames.srt
2. What is a Python Pandas Series.mp4
2. What is a Python Pandas Series.srt
20. Concatenating DataFrames.mp4
20. Concatenating DataFrames.srt
21. groupby().mp4
21. groupby().srt
3. DataFrame vs Series.mp4
3. DataFrame vs Series.srt
4. Creating a DataFrame using lists.mp4
4. Creating a DataFrame using lists.srt
5. Creating a DataFrame using a dictionary.mp4
5. Creating a DataFrame using a dictionary.srt
6. Loading CSV data into python.mp4
6. Loading CSV data into python.srt
7. Changing the Index Column.mp4
7. Changing the Index Column.srt
8. Inplace.mp4
8. Inplace.srt
9. Examining the DataFrame Head & Tail.mp4
9. Examining the DataFrame Head & Tail.srt
Bonus Resources.txt
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