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- 【影视】 [GigaCourse.Com] Udemy - Data Analysis with Pandas and Python
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收录时间:2022-01-21
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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- 【影视】 [GigaCourse.Com] Udemy - Data Analysis with Pandas and Python
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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- 【影视】 [Udemy] Data Analysis with Pandas and Python (11.2021)
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB
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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB
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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
Downloaded from 1337x.html 543 Bytes
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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
0. Websites you may like/[FCS Forum].url 133 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.ME].url 122 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes
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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
[FreeCourseLab.com].url 126 Bytes
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[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/7. MID-COURSE PROJECT/2. SOLUTION Mid-Course Project.mp4 117.9 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/11. FINAL COURSE PROJECT/2. SOLUTION Final Project.mp4 105.8 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/6. Basic Data Visualization in Python/1. The matplotlib API & The .plot() Method.mp4 53.1 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/3. Pandas Series/25. Fixing Missing Data.mp4 46.0 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/10. Joining DataFrames/10. SOLUTION Joining DataFrames.mp4 45.4 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/2. NumPy Primer/15. Filtering Arrays & Modifying Array Values.mp4 43.6 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/4. Intro to DataFrames/37. PRO TIP Multiple Column Creation with Assign.mp4 43.5 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/8. Analyzing Dates & Times/2. Converting To Datetimes.mp4 42.3 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/4. Intro to DataFrames/6. Exploring DataFrames Info & Describe.mp4 40.9 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/5. Aggregating & Reshaping DataFrames/21. Melting DataFrames.mp4 39.6 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/5. Aggregating & Reshaping DataFrames/8. Multi-Index DataFrames.mp4 39.5 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/4. Intro to DataFrames/24. Sorting DataFrames.mp4 39.2 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/5. Aggregating & Reshaping DataFrames/12. The Agg Method & Named Aggregations.mp4 38.8 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/2. NumPy Primer/25. Broadcasting.mp4 38.8 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/3. Pandas Series/1. Series Basics.mp4 38.3 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/5. Aggregating & Reshaping DataFrames/18. Pivot Tables in Pandas.mp4 38.3 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/1. Getting Started/3.1 Data Analysis With Python & Pandas.pdf 38.3 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/5. Aggregating & Reshaping DataFrames/23. SOLUTION Pivot & Melt.mp4 38.0 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/3. Pandas Series/2. Pandas Data Types & Type Conversion.mp4 38.0 MB
[TutsNode.net] - Data Analysis with Python NumPy & Pandas Masterclass/6. Basic Data Visualization in Python/5. Chart Colors.mp4 37.6 MB
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2 - Einfuhrung & Installation/10 - Windows Installation von VS Code.mp4 167.2 MB
2 - Einfuhrung & Installation/13 - Kurs-Struktur-mit-L-sung.zip 165.7 MB
10 - Scipy/70 - Curve Fitting.mp4 101.4 MB
3 - Python Basics/19 - Operators.mp4 100.6 MB
10 - Scipy/68 - Simple Optimierung von Funktionen.mp4 99.5 MB
6 - Methoden und Funktionen/35 - Funktionen mit mehreren Parametern 1.mp4 97.7 MB
7 - NumPy/47 - For Schleife vs DotFunktion.mp4 97.4 MB
2 - Einfuhrung & Installation/6 - Windows Installation Python und Anaconda.mp4 96.5 MB
3 - Python Basics/18 - Strings.mp4 87.0 MB
6 - Methoden und Funktionen/32 - Globale und lokale Variablen.mp4 82.6 MB
6 - Methoden und Funktionen/44 - Rekursive Funktion.mp4 80.9 MB
6 - Methoden und Funktionen/43 - call by value und call by name.mp4 74.0 MB
7 - NumPy/46 - Lists vs Arrays.mp4 70.3 MB
3 - Python Basics/15 - Variablen.mp4 68.9 MB
8 - Pandas/53 - autos-full.csv 68.4 MB
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