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- 【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Practical Numpy - Beginners to Advanced.zip
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[ DevCourseWeb.com ] Udemy - Practical Numpy - Beginners to Advanced.zip 488.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Basics Data Science with Numpy, Pandas and Matplotlib.zip
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[ FreeCourseWeb.com ] Udemy - Basics Data Science with Numpy, Pandas and Matplotlib.zip 1.3 GB
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- 【影视】 [FreeCourseLab.com] Udemy - IoT#2 Advanced Python for IoT and Numpy
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8. Client Element and Datasets/3. Adding Email and Client Name.mp4 116.6 MB
8. Client Element and Datasets/1. Indexing the Client Element.mp4 111.2 MB
7. Database and Chat App/2. Commands for Creating a Table.mp4 105.2 MB
7. Database and Chat App/5. Query from Database.mp4 96.8 MB
10. Numpy Arrays/2. Different Dimensional Array in Numpy.mp4 96.5 MB
10. Numpy Arrays/1. Creating Numpy Arrays.mp4 94.9 MB
5. Socket Programming/2. Writing the Client and Server Code.mp4 90.3 MB
8. Client Element and Datasets/6. Converting Temperature using List comprehension.mp4 89.1 MB
8. Client Element and Datasets/2. Connection from Client at Address.mp4 89.0 MB
3. Nuts and Bolts/3. Learning the Bolt Structure.mp4 84.4 MB
10. Numpy Arrays/4. Slicing.mp4 83.3 MB
7. Database and Chat App/4. Connecting Between Database and Python Code.mp4 80.5 MB
6. ChatBot App/4. Creating and Importing Client Socket.mp4 78.5 MB
10. Numpy Arrays/9. Using Scalers with Numpy Arrays.mp4 77.4 MB
7. Database and Chat App/6. Making changes in Chat App.mp4 76.6 MB
3. Nuts and Bolts/2. Methods of the List.mp4 76.4 MB
6. ChatBot App/5. Creating Message for Client.mp4 75.4 MB
8. Client Element and Datasets/4. Analyzing the Data Sets.mp4 72.5 MB
10. Numpy Arrays/6. Arrays of Ones and Zeros.mp4 72.3 MB
10. Numpy Arrays/10. Matrix Multiplication.mp4 72.0 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Numpy Basics For Machine Learning.zip
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[ FreeCourseWeb.com ] Udemy - Numpy Basics For Machine Learning.zip 360.8 MB
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- 【压缩文件】 Complete NumPy Masterclass Go from Zero to Hero in Numpy
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Complete NumPy Masterclass Go from Zero to Hero in Numpy.zip 3.9 GB
Download more courses.url 123 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Complete Data Analysis Course with Pandas & NumPy - Python.rar
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[ FreeCourseWeb.com ] Udemy - Complete Data Analysis Course with Pandas & NumPy - Python.rar 4.0 GB
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- 【影视】 [FreeCourseLab.com] Udemy - Python for Machine Learning with Numpy, Pandas & Matplotlib
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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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- 【影视】 [UdemyCourseDownloader] Data Science with Plotly, NumPy, Matplotlib, and Pandas
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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
19. Series and DataFrame in Pandas/1. Pandas Series.mp4 91.2 MB
20. Data Acquisition with Pandas/5. Pandas and Web.mp4 91.1 MB
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- 【压缩文件】 [ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip
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[ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip 989.1 MB
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- 【影视】 [FreeCourseLab.com] Udemy - Complete NumPy Masterclass Go from Zero to Hero in Numpy
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3. Python 3 and Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
11. Array Manipulation/1. Array Manipulation Routines (split, stack, flip).mp4 199.0 MB
3. Python 3 and Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
7. Jupyter/6. A brief Tour of Jupyter.mp4 160.7 MB
8. Getting Started with NumPy/1. Creating N-dimensional arrays, indexing, and slicing.mp4 136.2 MB
17. Digital Image Processing with NumPy and Matplotlib/11. Histogram with NumPy and Matplotlib.mp4 132.2 MB
4. Basics of Python 3/2. Hello World program on Raspberry Pi.mp4 122.7 MB
17. Digital Image Processing with NumPy and Matplotlib/5. NumPy for Image Processing and Computer Vision.mp4 119.3 MB
3. Python 3 and Raspberry Pi/6. Remotely accessing Pi with VNC.mp4 111.5 MB
7. Jupyter/1. What is Jupyter.mp4 108.4 MB
9. Array Creation Routines and Matplotlib/4. NumPy Numerical Ranges and Matplotlib.mp4 107.2 MB
14. FFTs/1. FFTs and Inverse FFT.mp4 94.6 MB
3. Python 3 and Raspberry Pi/2. Raspberry Pi Unboxing.mp4 88.6 MB
5. Python Package Index and pip/3. pip on Raspberry Pi.mp4 86.3 MB
17. Digital Image Processing with NumPy and Matplotlib/8. Image Channels.mp4 85.8 MB
17. Digital Image Processing with NumPy and Matplotlib/10. Logical Operations.mp4 83.8 MB
17. Digital Image Processing with NumPy and Matplotlib/9. Arithmetic Operations.mp4 83.3 MB
3. Python 3 and Raspberry Pi/7. Python on Raspberry Pi.mp4 82.6 MB
17. Digital Image Processing with NumPy and Matplotlib/4. Reading, Displaying, and Saving images on Disk with Matplotlib.mp4 82.2 MB
4. Basics of Python 3/5. What platform to use.mp4 74.6 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Start Data Science with Numpy, Pandas, Matplotlib & Seaborn.zip
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[ FreeCourseWeb.com ] Udemy - Start Data Science with Numpy, Pandas, Matplotlib & Seaborn.zip 742.3 MB
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- 【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]
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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 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
2 - Numpy New/7 - Matrices.mp4 36.5 MB
8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB
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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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~Get Your Files Here !/7 - Linear Algebra/1 -Major Ideas from Linear Algebra.mp4 118.6 MB
~Get Your Files Here !/2 - Numpy Arrays/1 -Numpy Arrays and Manipulation.mp4 111.2 MB
~Get Your Files Here !/2 - Numpy Arrays/2 -Array Indexing and Slicing.mp4 104.1 MB
~Get Your Files Here !/4 - Vectorized Operations/1 -Vectorized Operations.mp4 97.2 MB
~Get Your Files Here !/11 - Numpy and its use in Machine Learning and Data Science/1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 83.0 MB
~Get Your Files Here !/8 - Sequences and Random Number Generation/1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 82.9 MB
~Get Your Files Here !/3 - Numpy Dates and Set Operations/1 -Numpy Dates and Set Operations.mp4 57.8 MB
~Get Your Files Here !/5 - Inferential Statistics and Universal Functions/1 -Inferential Statistics and Universal Functions.mp4 53.6 MB
~Get Your Files Here !/4 - Vectorized Operations/2 -Vectorized Operations Continued.mp4 50.5 MB
~Get Your Files Here !/9 - Working with Missing Data/1 -Dealing with missing values and basic imputation techniques.mp4 47.0 MB
~Get Your Files Here !/10 - Visualizations/1 -Plotting with Numpy.mp4 32.0 MB
~Get Your Files Here !/6 - Performance Optimization/1 -Performance Optimization For loops vs Vectorization.mp4 28.0 MB
~Get Your Files Here !/2 - Numpy Arrays/3 -Comparing Numpy Arrays and Numpy Special Values.mp4 21.3 MB
~Get Your Files Here !/1 - Introduction/1 -Introduction.mp4 10.3 MB
~Get Your Files Here !/1 - Introduction/1 -Course_Python_Numpy_For_Data_Science.ipynb 917.0 kB
Get Bonus Downloads Here.url 183 Bytes
~Get Your Files Here !/Bonus Resources.txt 70 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Lynda - NumPy Data Science Essential Training.zip
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[ FreeCourseWeb.com ] Lynda - NumPy Data Science Essential Training.zip 610.8 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip
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[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip 1.4 GB
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~Get Your Files Here !/11. Pandas - Data Description/2. Importing the data.mp4 133.6 MB
~Get Your Files Here !/15. Dealing with wrong data/1. Wrong Data.mp4 99.5 MB
~Get Your Files Here !/27. WHERE, AND, OR, IN, BETWEEN/1. WHERE, AND, OR, IN, BETWEEN.mp4 85.0 MB
~Get Your Files Here !/14. Dealing with Empty cells/2. Empty cells.mp4 70.1 MB
~Get Your Files Here !/4. AccessingChanging Specific Elements, Rows, Columns, etc/1. AccessingChanging Specific Elements.mp4 54.5 MB
~Get Your Files Here !/12. Creating a DataFrame/2. Creating a DataFrame.mp4 54.0 MB
~Get Your Files Here !/5. Initializing Different Arrays (1s, 0s, full, random, etc)/1. Initializing an Array.mp4 52.0 MB
~Get Your Files Here !/21. Insert data into a table/1. Insert data into a table.mp4 51.8 MB
~Get Your Files Here !/11. Pandas - Data Description/1. Data Description.mp4 50.6 MB
~Get Your Files Here !/17. Dealing with duplicate data/1. Duplicates.mp4 50.0 MB
~Get Your Files Here !/26. Limit, alias, distinct/1. Limit, alias, distinct.mp4 49.9 MB
~Get Your Files Here !/16. Dealing with wrong data type/1. Wrong Datatype.mp4 47.6 MB
~Get Your Files Here !/28. Aggregate and Group by command/1. Aggregate and Group by command.mp4 47.3 MB
~Get Your Files Here !/20. Creating a table/1. Creating a table.mp4 45.8 MB
~Get Your Files Here !/25. Order by command/1. Order by command.mp4 37.8 MB
~Get Your Files Here !/7. Linear Algebra and Statistics/1. Linear Algebra and Statistics.mp4 36.0 MB
~Get Your Files Here !/3. Basics of NumPy/2. NumPy Datatypes.mp4 30.9 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 29.5 MB
~Get Your Files Here !/22. Alter data in a table/1. Alter data in a table.mp4 28.5 MB
~Get Your Files Here !/6. Basic Mathematics (arithmetic, trigonometry, etc.)/1. Basic Mathematics.mp4 27.0 MB
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- 【压缩文件】 Python NumPy Scientific computing with Python
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收录时间:2017-03-12
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文档大小:380.1 MB
最近下载:2025-02-16
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