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【压缩文件】 [ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip

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[ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip 1.0 GB

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【文档书籍】 Python dla dzieci. Programowanie na wesoło Jason R. Briggs.pdf

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Python dla dzieci. Programowanie na wesoło Jason R. Briggs.pdf 104.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Make SMS Bomb Using Python + Selenium.zip

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[ FreeCourseWeb.com ] Udemy - Make SMS Bomb Using Python + Selenium.zip 286.7 MB

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【影视】 [DesireCourse.Net] Udemy - Python 3 Complete Masterclass - Make Your Job Tasks Easier!

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19. SUPERHERO LEVEL Automate Excel Tasks with Python 3/11. APPLICATION - Migrating Records from a Text File to an Excel Workbook.mp4 204.1 MB
22. SUPERHERO LEVEL Automate Data Analysis Tasks with Python 3/13. APPLICATION - Reading and Writing Data in PostgreSQL Databases Using Pandas.mp4 185.9 MB
22. SUPERHERO LEVEL Automate Data Analysis Tasks with Python 3/9. Indexing and Slicing Tables with Pandas.mp4 157.6 MB
23. SUPERHERO LEVEL Data Visualization with Bokeh and Python 3/5. Creating a Bar Plot Based on Excel Data.mp4 148.3 MB
21. SUPERHERO LEVEL Automate Network Tasks with Python 3/31. Extracting Network Parameters.mp4 139.7 MB
22. SUPERHERO LEVEL Automate Data Analysis Tasks with Python 3/5. Handling Files with Pandas - TXT, CSV, JSON, XLSX.mp4 138.2 MB
23. SUPERHERO LEVEL Data Visualization with Bokeh and Python 3/11. Plotting Bitcoin Prices as an Interactive Plot with a Range Tool.mp4 135.4 MB
22. SUPERHERO LEVEL Automate Data Analysis Tasks with Python 3/11. Adding, Updating, Deleting Table Rows and Columns.mp4 127.6 MB
21. SUPERHERO LEVEL Automate Network Tasks with Python 3/24. Establishing the SSH Connection.mp4 127.3 MB
1. Introduction - What's This Course All About/1. What Will You Learn What Benefits You Get From Taking This Course.mp4 121.4 MB
25. SUPERHERO LEVEL Automate Web Scraping with Python 3/9. APPLICATION - Extracting the Product Names, Links and Prices. Saving to Excel.mp4 117.5 MB
14. ADVANCED LEVEL Python 3 - Regular Expressions/1. Python 3 Regex - match() & search().mp4 117.0 MB
21. SUPERHERO LEVEL Automate Network Tasks with Python 3/15. Checking IP Address Validity.mp4 99.1 MB
26. Useful Python Modules and Tools/1. Comparing File Contents (difflib).mp4 97.9 MB
20. SUPERHERO LEVEL Automate Database Tasks with Python 3/24. APPLICATION - Migrating Records from a Text File to the Database.mp4 95.5 MB
25. SUPERHERO LEVEL Automate Web Scraping with Python 3/5. Tags, Names and Attributes.mp4 95.4 MB
23. SUPERHERO LEVEL Data Visualization with Bokeh and Python 3/7. Creating a Pie Chart Based on CSV Data.mp4 93.1 MB
24. SUPERHERO LEVEL Automate Unit Testing with Python 3/5. Testing a Basic Script - Preparing the Test Bed.mp4 89.4 MB
19. SUPERHERO LEVEL Automate Excel Tasks with Python 3/8. Working with Cell Styles Using Python.mp4 88.7 MB
10. INTERMEDIATE LEVEL Python 3 - Conditionals, Loops and Exceptions/1. Python 3 Conditionals - If Elif Else.mp4 86.1 MB

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【影视】 Monty Python and the Holy Grail (1975) Dual-Audio

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Monty Python and the Holy Grail (1975) BRRip Oldies Dual-Audio.mkv 1.1 GB

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【影视】 [FreeCourseLab.com] Udemy - REST APIs with Flask and Python

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Lesson 120. Logging in with Flask-JWT-Extended.mp4 131.0 MB
Lesson 117. A recap of the code + a few changes!.mp4 85.2 MB
Lesson 122. Adding JWT Claims.mp4 64.7 MB
Lesson 127. Customizing Flask-JWT-Extended callbacks and responses.mp4 57.4 MB
Lesson 125. Performing token refresh in our REST API.mp4 52.9 MB
Lesson 106. Setting up nginx and our REST API.mp4 51.8 MB
Lesson 129. Logging users out in our REST API.mp4 50.5 MB
Lesson 71. Creating User and Item models.mp4 49.3 MB
Lesson 119. Testing our new Resource with Postman.mp4 46.9 MB
Lesson 107. Setting up uWSGI to run our REST API.mp4 46.8 MB
Lesson 128. Blacklisting with Flask-JWT-Extended.mp4 45.7 MB
Lesson 118. Creating a User Resource for testing.mp4 43.8 MB
Lesson 123. Getting the JWT identity in and endpoint and @jwt_optional.mp4 32.7 MB
Lesson 58. Logging in and retrieving Users from a database.mp4 32.1 MB
Lesson 75. Implementing the ItemModel using SQLAlchemy.mp4 30.6 MB
Lesson 116. Configuring nginx for SSL.mp4 28.6 MB
Lesson 62. Writing our Item resources to a database.mp4 28.5 MB
Lesson 59. Signing up and writing Users to a database.mp4 25.8 MB
Lesson 11. Loops in Python.mp4 25.8 MB
Lesson 83. Welcome to this section.mp4 25.6 MB

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【影视】 [Tutorialsplanet.NET] Udemy - The Python Bible™ Everything You Need to Program in Python

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10. OOPs! - Object Oriented Programming (OOP) in Python/6. PROJECT 10 - Make all the coins!! - Part 2.mp4 60.6 MB
10. OOPs! - Object Oriented Programming (OOP) in Python/5. PROJECT 10 - Make all the coins!! - Part 1.mp4 41.3 MB
8. Going Loopy - Loops In Python/8. PROJECT 7 - Pig Latin Translator - Part 2.mp4 33.7 MB
7. Hold This For Me Python Datastructures/10. PROJECT 5 - Cinema Simulator!.mp4 31.2 MB
9. Getting Funky - Functions in Python/9. PROJECT 8 - Tic Tac Toe Game! - Part 2.mp4 30.8 MB
5. The ABCs - How to use Strings to handle text in Python/11. Cool String Methods - Part 2.mp4 30.7 MB
10. OOPs! - Object Oriented Programming (OOP) in Python/4. PROJECT 9 - Make your own Coin! - Part 2.mp4 30.6 MB
9. Getting Funky - Functions in Python/7. Packing & Unpacking using args and kwargs.mp4 30.4 MB
4. The 123s - Numbers in Python/4. PROJECT 1 Crafting a Health Potion - Part 1.mp4 28.6 MB
10. OOPs! - Object Oriented Programming (OOP) in Python/7. PROJECT 11 - Make Your Own Bank!.mp4 28.5 MB
8. Going Loopy - Loops In Python/2. While Loops.mp4 26.8 MB
7. Hold This For Me Python Datastructures/6. More ways to add items to lists.mp4 25.9 MB
7. Hold This For Me Python Datastructures/8. Dictionaries Part 1 - What are Dictionaries.mp4 25.6 MB
7. Hold This For Me Python Datastructures/2. What are Lists.mp4 25.2 MB
5. The ABCs - How to use Strings to handle text in Python/6. PROJECT 2 Hello You! - Part 2 - Collecting Data.mp4 23.6 MB
2/5. The Secret of Top Programmers....mp4 22.6 MB
6. If This, then That Logic and Conditional Flow in Python/4. if Statements.mp4 22.6 MB
5. The ABCs - How to use Strings to handle text in Python/10. Cool String Methods - Part 1.mp4 21.8 MB
2/4. Meeting IDLE Take a tour of the Python Interactive Developer Environment (IDE).mp4 21.4 MB
5. The ABCs - How to use Strings to handle text in Python/12. PROJECT 3 Email Slicer - Part 1 - What are Slices.mp4 20.3 MB

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【影视】 [FreeCoursesOnline.Me] Linkedin - Python - Data Analysis

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01-Welcome.mp4 24.2 MB
22-Temperature analysis.mp4 20.9 MB
30-DataFrames in Pandas.mp4 17.1 MB
07-Using Python lists and the slicing syntax.mp4 16.4 MB
35-Name popularity.mp4 16.0 MB
37-Name fads.mp4 15.8 MB
12-Finding anagrams.mp4 14.1 MB
21-Downloading and parsing data files.mp4 13.3 MB
24-Smoothing data.mp4 13.3 MB
18-Indexing and slicing.mp4 13.2 MB
09-Comprehensions.mp4 13.2 MB
36-A yearly top ten.mp4 12.4 MB
23-Integrating missing data.mp4 12.3 MB
17-Doing math with arrays.mp4 12.1 MB
31-Using multilevel indices.mp4 11.9 MB
19-Records and dates.mp4 11.8 MB
25-Computing daily records.mp4 11.6 MB
16-Creating NumPy arrays.mp4 11.3 MB
11-Loading the dictionary.mp4 10.9 MB
08-Using Python dictionaries.mp4 10.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Crash Course - A deep dive into the world of Python.zip

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[ FreeCourseWeb.com ] Udemy - Crash Course - A deep dive into the world of Python.zip 1.9 GB

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【压缩文件】 [ TutSala.com ] Udemy - Python for Beginners 2021 - Basics to Adv 12 Week Masterclass.zip

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[ TutSala.com ] Udemy - Python for Beginners 2021 - Basics to Adv 12 Week Masterclass.zip 252.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip

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[ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip 1.3 GB

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【影视】 [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB

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【影视】 Python with Pandas for beginners

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[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/1. Working with Jupyter Notebook.mp4 180.2 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/2.1 Jupyter_notebook_tutorial.m4v 69.0 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/1. Introduction.mp4 26.9 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/8. How to read (access) a Series - part1.mp4 26.5 MB
[TutsNode.com] - Python with Pandas for beginners/3. Why Pandas runs on top of NumPy/1. Why does Pandas rely on NumPy - part 1.mp4 23.4 MB
[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/3. series overview - part 2.mp4 23.1 MB
[TutsNode.com] - Python with Pandas for beginners/3. Why Pandas runs on top of NumPy/2. Why does Pandas rely on Numpy - part 2.mp4 21.1 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/6. Attributes of a series - part 1.mp4 21.0 MB
[TutsNode.com] - Python with Pandas for beginners/2. series - an overview/2. series overview - part 1.mp4 20.7 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/9. How to read (access) a Series - part 2.mp4 18.5 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/1. How to create a Series.mp4 17.8 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/2. Practice create a series.mp4 12.9 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/1.2 1_Pandas_introduction.mp4 12.0 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/7. Attributes of a series - part 2.mp4 9.3 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/4. nan values in Pandas.mp4 9.3 MB
[TutsNode.com] - Python with Pandas for beginners/1. Introduction/2. Data structures Pandas uses.mp4 7.8 MB
[TutsNode.com] - Python with Pandas for beginners/4. Exploring Series/10. How to read (access) a Series - part 3.mp4 4.8 MB
.pad/1 248.1 kB
.pad/5 223.0 kB
.pad/4 217.2 kB

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【影视】 [GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
8. Appendix/10. Is Theano Dead.mp4 18.7 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [FreeCoursesOnline.Me] [O'Reilly] Hands-On Algorithmic Trading with Python [FCO]

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3. Module 2 - Processing Data/3. Processing Data.mp4 77.8 MB
5. Module 3 - Designing Trading Algorithms/3. Expected Return.mp4 77.7 MB
3. Module 2 - Processing Data/4. Analyzing Data.mp4 77.6 MB
3. Module 2 - Processing Data/2. Data Sources.mp4 77.4 MB
5. Module 3 - Designing Trading Algorithms/2. Trading Strategies.mp4 76.4 MB
4. Checkpoint/1. Checkpoint.mp4 75.8 MB
5. Module 3 - Designing Trading Algorithms/1. Module 3 - Overview.mp4 70.4 MB
3. Module 2 - Processing Data/5. Module 2 - Summary.mp4 39.5 MB
3. Module 2 - Processing Data/1. Module 2 - Overview.mp4 31.3 MB
2. Module 1 - Overview Of Algorithmic Trading Models/4. Empirical Financial Models.mp4 19.5 MB
2. Module 1 - Overview Of Algorithmic Trading Models/7. Performance Metrics.mp4 19.0 MB
6. Module 4 - Prototyping Trading Algorithms/4. Backtesting Pitfalls.mp4 17.8 MB
2. Module 1 - Overview Of Algorithmic Trading Models/5. The Trinity of Errors Financial Models.mp4 17.5 MB
1. Introduction/1. Introduction.mp4 17.5 MB
2. Module 1 - Overview Of Algorithmic Trading Models/2. Efficient Markets.mp4 17.4 MB
6. Module 4 - Prototyping Trading Algorithms/3. Backtesting Algorithms.mp4 15.9 MB
2. Module 1 - Overview Of Algorithmic Trading Models/6. Development Process.mp4 15.3 MB
5. Module 3 - Designing Trading Algorithms/4. Expected Risk.mp4 14.0 MB
6. Module 4 - Prototyping Trading Algorithms/2. Algorithm Framework.mp4 13.0 MB
5. Module 3 - Designing Trading Algorithms/5. Capital Management.mp4 12.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine learning with Complete Python (Basic to Advanced).zip

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[ FreeCourseWeb.com ] Udemy - Machine learning with Complete Python (Basic to Advanced).zip 1.7 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Object Oriented Programming for beginners - Using Python.zip

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[ FreeCourseWeb.com ] Udemy - Object Oriented Programming for beginners - Using Python.zip 1.2 GB

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【压缩文件】 [ DevCourseWeb.com ] Python Projects - Udemy.zip

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[ DevCourseWeb.com ] Python Projects - Udemy.zip 2.9 GB

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【影视】 [FreeCourseSite.com] Udemy - Python for Statistical Analysis

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06 Conclusion/053 Extra Prac Numerical Uncertainty on Sales.mp4 173.1 MB
06 Conclusion/049 Extra Introduction to Gaussian Proccesses.mp4 159.8 MB
04 Probability/033 Empirical Distributions - Practical Example.mp4 131.5 MB
05 Hypothesis Testing/040 Basic Tests.mp4 108.9 MB
06 Conclusion/052 Extra Prac Diagnosing Diabetes.mp4 101.1 MB
05 Hypothesis Testing/041 Basic Tests Example - Asteroid Impacts.mp4 98.8 MB
04 Probability/035 Sampling Distributions - Practical Example.mp4 93.4 MB
04 Probability/034 Introduction to Sampling and the Central Limit Theorem.mp4 90.5 MB
02 Exploring Data Analysis/008 Loading Data - Practical Example.mp4 89.9 MB
02 Exploring Data Analysis/009 Dataset Preparation - Practical Example.mp4 83.9 MB
02 Exploring Data Analysis/020 ND Scatter Probability - Practical Example.mp4 82.4 MB
02 Exploring Data Analysis/017 ND Scatter Matrix - Practical Example.mp4 78.7 MB
02 Exploring Data Analysis/010 Dealing with Outliers - Practical Example.mp4 76.7 MB
05 Hypothesis Testing/045 Comparing Distributions - Kolmogorow-Smirnow and Anderson-Darling Tests.mp4 74.2 MB
04 Probability/030 Introduction to Probability Distributions.mp4 72.0 MB
02 Exploring Data Analysis/012 1D Histograms - Practical Example.mp4 69.5 MB
06 Conclusion/047 Conclusion.mp4 68.4 MB
02 Exploring Data Analysis/019 2D Histograms Contours and KDE - Practical Example.mp4 67.1 MB
03 Characterising/027 Multivariate Distributions - Practical Example.mp4 66.3 MB
03 Characterising/023 Mean Median Mode - Practical Example.mp4 64.5 MB

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【影视】 Lynda - Web Scraping with Python

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04 Advanced Techniques/003 Site maps and robots.txt.mp4 43.0 MB
04 Advanced Techniques/002 Finding and using hidden APIs.mp4 30.8 MB
03 Learning to Crawl/001 Crawling a website.mp4 30.1 MB
04 Advanced Techniques/001 Submitting a form.mp4 21.6 MB
03 Learning to Crawl/004 Structuring your scrapers for extensibility_reusability.mp4 18.0 MB
03 Learning to Crawl/003 Scrapy settings file.mp4 17.6 MB
05 Acting Human/002 Browser automation with Selenium.mp4 16.4 MB
05 Acting Human/003 Interacting with a page.mp4 15.7 MB
03 Learning to Crawl/006 Solution_ Scraping news sites.mp4 15.5 MB
02 Basic Web Scraping/003 Hello world with Scrapy.mp4 15.4 MB
04 Advanced Techniques/005 Solution_ Using CNNs sitemap.mp4 15.0 MB
03 Learning to Crawl/002 Recording data.mp4 14.0 MB
05 Acting Human/001 Logging in.mp4 12.7 MB
02 Basic Web Scraping/004 Challenge_ Scraping all data on a page.mp4 12.0 MB
02 Basic Web Scraping/005 Solution_ Scraping all data on a page.mp4 10.4 MB
02 Basic Web Scraping/001 What is web scraping_.mp4 9.0 MB
02 Basic Web Scraping/002 How the internet works_ A brief summary.mp4 8.9 MB
01 Introduction/001 How to learn to stop worrying and love the bot.mp4 7.6 MB
04 Advanced Techniques/004 Challenge_ Using CNNs sitemap.mp4 7.5 MB
03 Learning to Crawl/005 Challenge_ Scraping news sites.mp4 6.5 MB

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