Download Udemy.Python.for.Data.Science.Master.NumPy.&.Pandas.on.Real.Data.2021.ENGLISH.720p.Mp4.WEBRip Torrent

Torrent Contents Size: 6.37 GB

Udemy.Python.for.Data.Science.Master.NumPy.&.Pandas.on.Real.Data.2021.ENGLISH.720p.Mp4.WEBRip

1. Introduction

1. The Learning and Teaching Approach in this Course.mp4	MP4	59.14 MB
2. What Python Skills are Needed in this Course.mp4	MP4	41.16 MB
3. You code along with me - how it is done in Udemy.mp4	MP4	67.41 MB
4. Welcome to PyCharm when it becomes more advanced.mp4	MP4	41.31 MB
5. Data Science Process.mp4	MP4	100.63 MB

10. Next Step on your Journey to Data Science

1. Next steps.mp4

MP4

66.65 MB

2. Python Built-in Data Structures - Part I - Introduction and Python lists

1. Introduction to Built in Data Structures.mp4	MP4	81.68 MB
10. Sort using a lambda function with Python lists.html	HTML	167 B
11. Slicing Python lists.mp4	MP4	122.04 MB
12. Slicing Python lists.html	HTML	167 B
13. Lists of lists.mp4	MP4	142.2 MB
14. Lists of lists.html	HTML	167 B
2. Overview of what we will cover.mp4	MP4	90.16 MB
3. Import CSV to Python list.mp4	MP4	158.76 MB
3.1 cars.csv	CSV	21.73 KB
4. Import CSV to Python list.html	HTML	167 B
5. Convert column to floats in Python list.mp4	MP4	88.03 MB
6. Convert column to floats in Python list.html	HTML	167 B
7. Sort using a user defined function with Python lists.mp4	MP4	117.18 MB
8. Sort using a user defined function with Python.html	HTML	167 B
9. Sort using a lambda function with Python lists.mp4	MP4	52.04 MB

3. Python Built-in Data Structures - Part II - Python Dictionaries

1. Read CSV into Dictionary.mp4	MP4	117.29 MB
1.1 cars.csv	CSV	21.73 KB
10. Remove items by using list comprehension.html	HTML	167 B
11. Extract columns of data from Python Dictionaries.mp4	MP4	79.59 MB
12. Extract columns of data from Python Dictionary.html	HTML	167 B
13. Plot data on a graph from Python Dictionaries.mp4	MP4	71.55 MB
14. Setting up your own environment.html	HTML	1.08 KB
15. Coding Exercise Plotting the data on a graph..html	HTML	452 B
15.1 cars.csv	CSV	21.73 KB
15.2 Dictionaries.py	PY	523 B
2. Read CSV into Dictionary.html	HTML	167 B
3. Sorting using a user defined function.mp4	MP4	63.93 MB
4. Sorting using a user defined function.html	HTML	167 B
5. Sorting using a lambda function with Python Dictionaries.mp4	MP4	40.01 MB
6. Sorting using a lambda function with Python.html	HTML	167 B
7. Remove items from Python Dictionary.mp4	MP4	75.45 MB
8. Remove items from Python Dictionary.html	HTML	167 B
9. Remove items using list comprehension with Python Dictionaries.mp4	MP4	74.45 MB

4. Python Built-in Data Structures - Part III - Sets and Tuples

1. Python sets - unique elements.mp4	MP4	95.16 MB
2. Find the unique horsepowers by using set.html	HTML	167 B
3. Make frequency analysis.html	HTML	167 B
4. Python Tuples - Return from functions.mp4	MP4	54.62 MB
5. Return tuples from functions in Python.html	HTML	167 B
6. Tuples - pack together items in a list.mp4	MP4	33.36 MB
7. Pack items together as tuples in a Python list.html	HTML	167 B
8. Zip lists and iterate.mp4	MP4	67.2 MB
9. Iterate over lists that are zip'ed together..html	HTML	167 B

5. NumPy - A World of Power

1. Introduction to NumPy.mp4	MP4	84.84 MB
10. Performance Test Try it out yourself.html	HTML	312 B
10.1 Performance.py	PY	451 B
2. Your First Array (NumPy).mp4	MP4	83.93 MB
3. Your First Array (NumPy).html	HTML	167 B
4. Adding Two 2-dimensional Arrays (NumPy).mp4	MP4	102.32 MB
5. Adding Two 2-dimensional Arrays (NumPy).html	HTML	167 B
6. Vectorization - Unleash the power of NumPy Arrays.mp4	MP4	107.82 MB
7. Vectorization - more examples..html	HTML	167 B
8. Why use NumPy.mp4	MP4	107.61 MB
9. Speed of NumPy Arrays vs Python lists.mp4	MP4	179.72 MB

6. Your First NumPy Project

1. Introduction to your first NumPy project.mp4	MP4	124.11 MB
10. The 5 fastest and slowest replies.html	HTML	167 B
11. Change wrong data points.mp4	MP4	133.44 MB
12. Change wrong data points.html	HTML	167 B
13. Introvert and extrovert data split.mp4	MP4	69.31 MB
14. Coding Exercise Introvert and Extrovert data split.html	HTML	373 B
14.1 NumPyProject.py	PY	5.25 KB
14.2 dataset.csv	CSV	6.49 MB
15. Average age for introverts and extroverts.mp4	MP4	57.45 MB
16. Coding Exercise Average age for introverts and extroverts.html	HTML	518 B
16.1 dataset.csv	CSV	6.49 MB
16.2 NumPyProject.py	PY	5.36 KB
17. Lowest and highest rated questions for introverts and extroverts.mp4	MP4	116.88 MB
18. Coding Exercise Lowest and highest rated questions for introverts and extrovert.html	HTML	471 B
18.1 dataset.csv	CSV	6.49 MB
18.2 NumPyProject.py	PY	5.5 KB
19. Scatter plot length of question vs average time to answer.mp4	MP4	80.11 MB
2. Load the data into the correct data type.mp4	MP4	132.36 MB
20. Coding Exercise Scatter plot length of questions vs average to answer.html	HTML	751 B
20.1 dataset.csv	CSV	6.49 MB
20.2 NumPyProject.py	PY	6.13 KB
21. Fitting the data to a straight line.mp4	MP4	81.06 MB
22. Coding Exercise Fitting the data to a straight line.html	HTML	736 B
22.1 NumPyProject.py	PY	6.24 KB
22.2 dataset.csv	CSV	6.49 MB
3. Full dataset used in the project.html	HTML	837 B
3.1 codebook.txt	TXT	5.45 KB
3.2 dataset.csv	CSV	6.49 MB
4. Load the data and correct the data type.html	HTML	167 B
5. Overview of Introvert and Extrovert.mp4	MP4	170.73 MB
6. Overview of Introvert and Extrovert.html	HTML	167 B
7. Average time elapsed on questions.mp4	MP4	100.26 MB
8. Average time elapsed on questions.html	HTML	167 B
9. The 5 fastest and slowest replies.mp4	MP4	88.4 MB

7. Pandas - A Different World of Power

1. Introduction to Pandas.mp4	MP4	142.66 MB
10. Introduction to DataFrames.mp4	MP4	66.42 MB
11. Our first DataFrame.mp4	MP4	65.35 MB
12. Our first DataFrame.html	HTML	167 B
13. Indexing our DataFrame.mp4	MP4	69.07 MB
14. Indexing our DataFrame.html	HTML	167 B
15. Adding columns to our DataFrame.mp4	MP4	71.42 MB
16. Adding columns to our DataFrame.html	HTML	167 B
17. Pandas Cheat Sheet.mp4	MP4	64.68 MB
17.1 Pandas_Cheat_Sheet.pdf	PDF	337.8 KB
2. How Pandas differ from NumPy.mp4	MP4	145.03 MB
3. Introduction to Series.mp4	MP4	53.84 MB
4. Our first Series.mp4	MP4	52.16 MB
5. Our first Series.html	HTML	167 B
6. Vectorized math with Series.mp4	MP4	56.85 MB
7. Vectorized math with Series.html	HTML	167 B
8. Indexing in a Series.mp4	MP4	122.21 MB
9. Indexing in a Series.html	HTML	167 B

8. Project on GDP

1. The 5 Steps of Data Science.mp4	MP4	81.03 MB
10. Dealing with NaN.mp4	MP4	112.09 MB
11. Dealing with NaN.html	HTML	167 B
12. Using GeoPandas (preparation to visualize).mp4	MP4	91.37 MB
13. Coding Exercise GeoPandas.html	HTML	337 B
13.1 ChoroplethMaps.py	PY	153 B
14. Understand the challenge to join (or merge) the data.mp4	MP4	105.01 MB
15. Join the datasets.mp4	MP4	93.86 MB
16. Coding Exercise Join the datasets.html	HTML	531 B
16.1 gdp_world_data.csv	CSV	44.83 KB
16.2 GDPProject.py	PY	862 B
17. Change index names to full dataset.mp4	MP4	80.68 MB
18. Coding Exercise Change index names to full dataset.html	HTML	555 B
18.1 gdp_world_data.csv	CSV	44.83 KB
18.2 GDPProject.py	PY	987 B
19. How to find discrepancies and deal with them.mp4	MP4	115.49 MB
2. Inspect the GDP data and load the CSV into a DataFrame (Pandas).mp4	MP4	161.87 MB
2.1 gdp_world_data.csv	CSV	44.83 KB
20. Coding Exercise How to find discrepancies and deal with them.html	HTML	485 B
20.1 gdp_world_data.csv	CSV	44.83 KB
20.2 GDPProject.py	PY	1.07 KB
21. Comments in code and change to 2000-2019.mp4	MP4	107.47 MB
22. Coding Exercise Change to 2000-2019.html	HTML	248 B
22.1 gdp_world_data.csv	CSV	44.83 KB
22.2 GDPProject.py	PY	1.31 KB
23. Adding a legend and adjust the size.mp4	MP4	73.85 MB
24. Coding Exercise Adding a legend and adjust the size.html	HTML	711 B
24.1 GDPProject.py	PY	1.52 KB
24.2 gdp_world_data.csv	CSV	44.83 KB
25. Computing and visualizing growth per capita.mp4	MP4	87.8 MB
26. Coding Exercise Computing and visualizing growth per capita.html	HTML	644 B
26.1 gdp_world_data.csv	CSV	44.83 KB
26.2 GDPProject.py	PY	1.6 KB
3. Load the CSV into a DataFrame.html	HTML	167 B
4. Remove unnamed column and set index to be Country Name.mp4	MP4	69.94 MB
5. Remove unnamed column and set index to be Country Name.html	HTML	167 B
6. Enrich the data with growth rates.mp4	MP4	150.18 MB
7. Enrich the data with growth rates.html	HTML	167 B
8. Create a view of the needed columns.mp4	MP4	69.81 MB
9. Create a view of the needed columns.html	HTML	167 B

9. Join even more data and get more insights

1. Explore new dataset (Minimum wages and hours per week).mp4	MP4	96.71 MB
1.1 min_wages.csv	CSV	42.36 KB
2. New Dataset.html	HTML	167 B
3. Join dataset with previous dataset.mp4	MP4	32.97 MB
4. Coding Exercise Join dataset with previous dataset.html	HTML	333 B
4.1 min_wages.csv	CSV	42.36 KB
4.2 gdp_world_data.csv	CSV	44.83 KB
4.3 GDPProject.py	PY	1.99 KB
5. Compute correlations between columns.mp4	MP4	112.56 MB
6. Coding Exercise Compute correlations between columns.html	HTML	221 B
6.1 min_wages.csv	CSV	42.36 KB
6.2 gdp_world_data.csv	CSV	44.83 KB
6.3 GDPProject.py	PY	2.05 KB
7. Convert data type of column.mp4	MP4	111.82 MB
8. Coding Exercise Convert data type of column.html	HTML	338 B
8.1 gdp_world_data.csv	CSV	44.83 KB
8.2 GDPProject.py	PY	2.08 KB
8.3 min_wages.csv	CSV	42.36 KB

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Udemy.Python.for.Data.Science.Master.NumPy.&.Pandas.on.Real.Data.2021.ENGLISH.720p.Mp4.WEBRip

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