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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
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~Get Your Files Here !/4. Numpy.mp4 110.4 MB
~Get Your Files Here !/1. Introduction of Python.mp4 37.4 MB
~Get Your Files Here !/2. Pandas part 1.mp4 35.1 MB
~Get Your Files Here !/3. Pandas part 2.mp4 29.6 MB
~Get Your Files Here !/5. Matplotlib.mp4 26.9 MB
~Get Your Files Here !/4. Numpy.srt 14.8 kB
~Get Your Files Here !/2. Pandas part 1.srt 7.1 kB
~Get Your Files Here !/1. Introduction of Python.srt 7.0 kB
~Get Your Files Here !/3. Pandas part 2.srt 4.4 kB
~Get Your Files Here !/5. Matplotlib.srt 3.7 kB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

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02 - Python Refresher/004 Data Structures in Python.mp4 306.5 MB
02 - Python Refresher/002 String Functions in Python.mp4 184.3 MB
08 - Web Scraping & Data Analysis Using Python & SQL/001 How to Scrape a website in Python.mp4 150.8 MB
02 - Python Refresher/003 Control Flow VS Loops.mp4 124.2 MB
03 - Object Oriented Programming (OOP) In Python/002 Overviewing Constructor.mp4 92.2 MB
07 - Python Pandas Data Analysis & Visualization/005 Using Python Pandas Package to load PostgreSQL the Data Output file.mp4 85.9 MB
05 - Project Hangman Game/004 Project Solution Part 2.mp4 73.4 MB
04 - Project Color Choices Game/003 Project Solution.mp4 72.7 MB
02 - Python Refresher/001 Variables, Operators and Data Types in Python.mp4 68.0 MB
05 - Project Hangman Game/002 Project Helful Notes.mp4 61.3 MB
02 - Python Refresher/007 Files and Modules in Python.mp4 61.1 MB
04 - Project Color Choices Game/002 Project Helpful Notes.mp4 58.4 MB
08 - Web Scraping & Data Analysis Using Python & SQL/004 Save The Scraped Data to a Database.mp4 54.4 MB
01 - Introduction/002 Environment Preparing for Python.mp4 53.6 MB
02 - Python Refresher/006 Functions in Python.mp4 52.7 MB
08 - Web Scraping & Data Analysis Using Python & SQL/003 Data Visualization of the Scraped Data.mp4 51.5 MB
01 - Introduction/004 Understanding Data Types in Python.mp4 48.5 MB
01 - Introduction/003 Python2 VS Python3.mp4 45.9 MB
07 - Python Pandas Data Analysis & Visualization/009 Visualizing Data.mp4 43.2 MB
08 - Web Scraping & Data Analysis Using Python & SQL/002 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4 43.1 MB

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【影视】 Using NumPy's np.arange() Effectively

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[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_1_params.mp4 29.1 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_5_other_functions.mp4 27.6 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_2_datatypes.mp4 18.8 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_4_arange_v_range.mp4 18.0 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_3_manipulation.mp4 15.8 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/arange_6_conclusion.mp4 9.2 MB
[TutsNode.com] - Using NumPy's np.arange() Effectively/Numpy_arange_guide.pdf 266.5 kB
.pad/5 109.6 kB
.pad/0 89.2 kB
.pad/3 84.0 kB
.pad/4 83.1 kB
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.pad/1 58.9 kB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

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16-Broadcasting.mp4 31.4 MB
38-Brain teasers.mp4 31.3 MB
17-Structured and record arrays.mp4 29.0 MB
13-linspace, zeros, ones, data types.mp4 25.3 MB
27-Add and remove elements.mp4 24.3 MB
07-Notebook basics.mp4 22.0 MB
37-Statistics.mp4 21.4 MB
35-Linear algebra.mp4 20.6 MB
39-Magic squares and NumPy.mp4 20.5 MB
36-Finding patterns.mp4 20.2 MB
28-Join and split arrays.mp4 20.1 MB
25-Views and copies.mp4 20.1 MB
14-Slice arrays.mp4 19.0 MB
12-Intrinsic creation using NumPy methods.mp4 18.5 MB
11-Create arrays from Python structures.mp4 18.5 MB
40-Adjacency matrix.mp4 17.5 MB
20-Multiple lines, single plot.mp4 17.3 MB
41-Magic characteristics.mp4 15.8 MB
22-Plot annotations.mp4 14.6 MB
19-Figures and subplots.mp4 13.6 MB

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~Get Your Files Here !/6 - The Met Office Temperature Dataset/20 - Reading The Data From a CSV File to a NumPy Array.mp4 245.4 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/14 - Another Glimpse At NumPys Documentation.mp4 183.1 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/21 - Remove What We Dont Need From The Array.mp4 120.1 MB
~Get Your Files Here !/7 - Representing Equations Using NumPy/25 - From an Equation on Paper to An Equation on Computer nparange and nplin.mp4 76.3 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/18 - Theres Lots More in NumPys API.mp4 65.0 MB
~Get Your Files Here !/2 - Understanding NumPys ndarray Data Type/5 - Finally Say Hello to ndarray.mp4 64.7 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/19 - Views and Copies A Brief Introduction.mp4 52.8 MB
~Get Your Files Here !/7 - Representing Equations Using NumPy/26 - Plotting The Equation.mp4 50.8 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/8 - Comparing Loops With Lists List Comprehensions and NumPy Vectorisation.mp4 50.0 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/23 - Grouping Temperatures Using a Histogram.mp4 49.3 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/13 - Broadcasting A Brief Introduction.mp4 48.9 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/9 - Lets Race Timing The Three Versions.mp4 47.1 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/15 - Lets Add One More Dimension 3D Arrays.mp4 46.7 MB
~Get Your Files Here !/6 - The Met Office Temperature Dataset/22 - Finding the Minimum Maximum and Mean Temperatures.mp4 43.4 MB
~Get Your Files Here !/5 - Boolean Operations Boolean Indexing Filtering And More/17 - Boolean Indexing and Filtering.mp4 41.3 MB
~Get Your Files Here !/3 - Vectorisation A Fancy Word For NumPys Superpower/7 - Performing Operations ElementbyElement in NumPy Vectorisation.mp4 40.9 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/12 - Creating Arrays of Random Numbers The FivePlayer ThreeRound Game.mp4 39.9 MB
~Get Your Files Here !/1 - On the Road to NumPy/3 - The LesserKnown Array.mp4 39.0 MB
~Get Your Files Here !/2 - Understanding NumPys ndarray Data Type/6 - Looking Ahead to Some Other ndarray Features.mp4 36.3 MB
~Get Your Files Here !/4 - Multiple Dimensions in NumPy Arrays/11 - More Than One Dimension.mp4 29.8 MB

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6 - Indexing and Slicing in Numpy array/25 - Slicing in 1D and 2D Numpy array.mp4 89.8 MB
6 - Indexing and Slicing in Numpy array/26 - Slicing in 3D Numpy array.mp4 64.1 MB
5 - Numpy Array Function/22 - Understanding round floor ceil in numpy.mp4 62.5 MB
11 - Advance Level/37 - Searching in Numpy Array.mp4 57.1 MB
5 - Numpy Array Function/20 - Dot product of an Numpy array.mp4 52.6 MB
1 - Introduction/2 - Why we Use Numpy Over Python List.mp4 50.5 MB
5 - Numpy Array Function/18 - Understanding the Axis and Sum Min Max.mp4 45.9 MB
3 - Numpy Array Attributes/13 - Find the Itemsize of the array.mp4 41.5 MB
11 - Advance Level/38 - Sorting a Numpy Array.mp4 40.2 MB
6 - Indexing and Slicing in Numpy array/24 - Indexing on 2D array and 3D numpy array.mp4 38.9 MB
9 - Joining Two Array/33 - How to Join to array.mp4 38.4 MB
10 - Splitting Two Array/36 - Code for Splitting an array.mp4 37.1 MB
2 - How to Create Numpy Array/5 - Create 1D 2D 3D Numpy array.mp4 32.9 MB
5 - Numpy Array Function/19 - Finding Mean Median Variance of Numpy Array.mp4 32.6 MB
7 - Iteration of Numpy Array/29 - Iterating 3D array.mp4 31.2 MB
6 - Indexing and Slicing in Numpy array/23 - What is the Indexing and Slicing.mp4 30.6 MB
2 - How to Create Numpy Array/8 - Reshape the numpy array.mp4 28.8 MB
1 - Introduction/3 - Applications of Numpy.mp4 26.4 MB
1 - Introduction/1 - Introduction of Numpy.mp4 25.9 MB
2 - How to Create Numpy Array/10 - Create array Using linspace.mp4 25.5 MB

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【影视】 [UdemyCourseDownloader] Complete Data Analysis Course with Pandas & NumPy Python

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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Pandas and NumPy Python Programming Language Libraries A-Z

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~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
~Get Your Files Here !/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
~Get Your Files Here !/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
~Get Your Files Here !/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
~Get Your Files Here !/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
~Get Your Files Here !/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
~Get Your Files Here !/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
~Get Your Files Here !/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
~Get Your Files Here !/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB

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[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
[TutsNode.net] - Pandas & NumPy Python Programming Language Libraries A-Z™/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Master Numpy Foundation and Practice Challenging Exercises

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~Get Your Files Here !/21 Numpy for Statistics – Outlier/003 Numpy Box Plot Part 1.mp4 109.8 MB
~Get Your Files Here !/21 Numpy for Statistics – Outlier/004 Numpy Box Plot Part 2.mp4 94.2 MB
~Get Your Files Here !/07 Python Basics – List, Loops and List Comprehension/005 Loops Part 2.mp4 86.5 MB
~Get Your Files Here !/20 Statistics - Outlier/003 Interquartile Range Method.mp4 85.4 MB
~Get Your Files Here !/08 Python Basics – Dictionary, Set and Tuple/001 Dictionary.mp4 84.2 MB
~Get Your Files Here !/19 Numpy for Statistics – Spread/003 Numpy Interquartile Range Part 2.mp4 83.5 MB
~Get Your Files Here !/07 Python Basics – List, Loops and List Comprehension/004 Loops Part 1.mp4 82.2 MB
~Get Your Files Here !/18 Statistics - Spread/002 Quartiles and Interquartile Range.mp4 79.7 MB
~Get Your Files Here !/11 Numpy Array Creation/002 Numpy Array Creation Part 2.mp4 79.5 MB
~Get Your Files Here !/19 Numpy for Statistics – Spread/005 Numpy Mean Absolute Deviation.mp4 78.0 MB
~Get Your Files Here !/14 Numpy Sorting and Joining/002 Numpy Sorting Part 2.mp4 75.6 MB
~Get Your Files Here !/07 Python Basics – List, Loops and List Comprehension/002 List Part 2.mp4 74.6 MB
~Get Your Files Here !/17 Numpy for Statistics – Central Tendency and Simple statistics/005 Numpy Mode.mp4 74.5 MB
~Get Your Files Here !/21 Numpy for Statistics – Outlier/002 Numpy Interquartile Range Method.mp4 72.9 MB
~Get Your Files Here !/22 Linear Algebra/001 Matrix Basics and Matrix Arithmetic Operations.mp4 72.8 MB
~Get Your Files Here !/22 Linear Algebra/003 Matrix Inverse and Solve Linear Equation.mp4 71.3 MB
~Get Your Files Here !/17 Numpy for Statistics – Central Tendency and Simple statistics/001 Numpy Simple Statistics.mp4 70.0 MB
~Get Your Files Here !/16 Statistics - Central Tendency/001 Central Tendency Basics and Mean.mp4 68.8 MB
~Get Your Files Here !/21 Numpy for Statistics – Outlier/006 Numpy Box Plot Part 4.mp4 67.9 MB
~Get Your Files Here !/06 Python Basics - Strings/002 Strings Part 2.mp4 65.6 MB

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【影视】 Complete NumPy Masterclass Go from Zero to Hero in Numpy

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Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 198.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/1. What is Raspberry Pi.mp4 163.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 135.4 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 131.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 120.8 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/7. Jupyter/1. What is Jupyter.mp4 108.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/14. FFTs/1. FFTs and Inverse FFT.mp4 95.1 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 84.3 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.7 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 83.1 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.5 MB
Complete NumPy Masterclass Go from Zero to Hero in Numpy/17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 79.8 MB
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[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/11. Stacking Arrays.mp4 78.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().mp4 76.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/7. Argument Functions - Part 1 Argument Where.mp4 69.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/5. Sorting Arrays.mp4 62.4 MB
[TutsNode.com] - Preprocessing Data with NumPy/1. Introduction to NumPy/1. What Does the Course Cover.mp4 61.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/2. Importing Data with NumPy - Simple Cleaning when Importing.mp4 60.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/15. Completing the Dataset.mp4 57.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/14. Manipulating Numeric Data Currency Change - From USD to EUR.mp4 55.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/4. Working with Arrays/1. Basic Slicing.mp4 54.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/1. Setting Up Introduction to the Practical Example.mp4 54.7 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/1. Checking for Missing Values.mp4 54.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/8. Manipulating Text Data Grade and Sub Grade.mp4 53.9 MB
[TutsNode.com] - Preprocessing Data with NumPy/2. Why Do We Use NumPy/3. ndarrays.mp4 52.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/10. Manipulating Text Data State Address.mp4 52.0 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/12. Concatenating Arrays.mp4 50.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/12. Manipulating Numeric Data Substitute Filler Values.mp4 48.6 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/9. Casting Arrays.mp4 47.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/3. Reshaping Arrays.mp4 47.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/7. Statistics with NumPy/1. Using NumPy Statistical Functions.mp4 46.2 MB
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03. Python 3 on Raspberry Pi/4. Raspbian OS Installation Part 1.mp4 240.4 MB
11. Array Manipulation Routines/1. Array Manipulation Routines.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspbian OS Installation Part 2.mp4 192.8 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.1 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.4 MB
14. Plotting in detail/3. Grid Axes and Labels.mp4 138.2 MB
08. Getting Started with NumPy/2. Ndarrays, Indexing, and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote connection with VNC.mp4 128.7 MB
18. Python and MySQL/4. Exploring SQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Handling Excel File.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.3 MB
19. Series and DataFrame in Pandas/2. Pandas Dataframe.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Rages Visualised.mp4 107.8 MB
18. Python and MySQL/6. Connect MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.4 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB
04. Basics of Python 3/4. IDLE.mp4 95.5 MB
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~Get Your Files Here !/9 - 2D ROW SLICING/11 - 2D ROW SLICING.mp4 234.2 MB
~Get Your Files Here !/4 - Numpy Arrays/4 - 1 Dimensional array.mp4 135.1 MB
~Get Your Files Here !/8 - 1D SLICING/10 - 1D SLICING.mp4 122.3 MB
~Get Your Files Here !/6 - Numpy SHAPE function/8 - Numpy shape function.mp4 118.6 MB
~Get Your Files Here !/2 - JUPYTER NOTEBOOK/2 - Learn why Jupyter Notebook is the best App for learning Python programming.mp4 98.6 MB
~Get Your Files Here !/1 - Introduction/1 - INTODUCTION TO NUMPY Introduce PYTHON Numpy library to students.mp4 94.8 MB
~Get Your Files Here !/4 - Numpy Arrays/5 - LINSPACE.mp4 78.2 MB
~Get Your Files Here !/7 - Numpy Reshape function/9 - Numpy Reshape Function.mp4 60.9 MB
~Get Your Files Here !/5 - MULTIDIMENSIONAL ARRAYS/7 - MULTIDIMENSIONAL ARRAYS.mp4 57.3 MB
~Get Your Files Here !/4 - Numpy Arrays/6 - ARANGE.mp4 56.4 MB
~Get Your Files Here !/3 - PYTHON LISTS/3 - PYTHON LIST.mp4 51.5 MB
~Get Your Files Here !/10 - STACK/12 - STACK.mp4 45.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

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~Get Your Files Here !/10. Extra - Creating the 3D models/1. Modeling a tree.mp4 120.2 MB
~Get Your Files Here !/10. Extra - Creating the 3D models/2. Modeling a house.mp4 92.8 MB
~Get Your Files Here !/8. Adjusting the details/9. Removing near models.mp4 92.8 MB
~Get Your Files Here !/3. Terrain generator/1. Creating the terrain.mp4 72.2 MB
~Get Your Files Here !/8. Adjusting the details/2. Custom look at function.mp4 57.3 MB
~Get Your Files Here !/7. Merging code snippets/3. Merging the import script.mp4 48.3 MB
~Get Your Files Here !/8. Adjusting the details/6. Adding random models.mp4 46.9 MB
~Get Your Files Here !/8. Adjusting the details/1. Working with shrinkwrap.mp4 43.4 MB
~Get Your Files Here !/9. Extra - Exporting the scene/2. Importing into Godot.mp4 41.6 MB
~Get Your Files Here !/8. Adjusting the details/3. Custom random direction.mp4 39.6 MB
~Get Your Files Here !/5. Town generator/1. Parametric circle equation.mp4 37.2 MB
~Get Your Files Here !/8. Adjusting the details/10. Removing overlapping house.mp4 37.1 MB
~Get Your Files Here !/8. Adjusting the details/7. Random positions for the houses.mp4 35.6 MB
~Get Your Files Here !/7. Merging code snippets/1. Merging the terrain and forest scripts.mp4 35.4 MB
~Get Your Files Here !/7. Merging code snippets/2. Merging the town script.mp4 34.8 MB
~Get Your Files Here !/8. Adjusting the details/5. Adding a custom material.mp4 34.3 MB
~Get Your Files Here !/8. Adjusting the details/4. Random size.mp4 31.6 MB
~Get Your Files Here !/9. Extra - Exporting the scene/1. Exporting to glTF.mp4 31.4 MB
~Get Your Files Here !/4. Forest generator/1. Beta distibution.mp4 31.3 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 31.2 MB

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16-Broadcasting.mp4 31.4 MB
38-Brain teasers.mp4 31.3 MB
17-Structured and record arrays.mp4 29.0 MB
13-linspace, zeros, ones, data types.mp4 25.3 MB
27-Add and remove elements.mp4 24.3 MB
07-Notebook basics.mp4 22.0 MB
37-Statistics.mp4 21.4 MB
35-Linear algebra.mp4 20.6 MB
39-Magic squares and NumPy.mp4 20.5 MB
36-Finding patterns.mp4 20.2 MB
28-Join and split arrays.mp4 20.1 MB
25-Views and copies.mp4 20.1 MB
14-Slice arrays.mp4 19.0 MB
12-Intrinsic creation using NumPy methods.mp4 18.5 MB
11-Create arrays from Python structures.mp4 18.5 MB
40-Adjacency matrix.mp4 17.5 MB
20-Multiple lines, single plot.mp4 17.3 MB
41-Magic characteristics.mp4 15.8 MB
22-Plot annotations.mp4 14.6 MB
19-Figures and subplots.mp4 13.6 MB

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9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
2 - Numpy New/9 - Generating Data.mp4 90.7 MB
8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
1 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
2 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
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8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
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1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.7 MB
6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
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2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.6 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.8 MB
3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 41.9 MB
1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 39.9 MB
4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 37.6 MB
4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 34.9 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 34.1 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 33.0 MB
6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 31.7 MB
3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 28.7 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp4 25.9 MB
4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 25.6 MB
3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 23.9 MB
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