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【压缩文件】 [ FreeCourseWeb.com ] Learn Web Scraping from scratch using Python's Beautiful Soup.zip

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[ FreeCourseWeb.com ] Learn Web Scraping from scratch using Python's Beautiful Soup.zip 319.4 MB

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【影视】 VTC QuickStart! - Python

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01.Introduction to Python/Overview_of_Python.mov 1.0 MB
02.Getting Started/Built_in_Functions_.mov 6.5 MB
02.Getting Started/Control Statements.mov 4.6 MB
02.Getting Started/Data_Types_Overview.mov 4.0 MB
02.Getting Started/Hello_World.mov 1.9 MB
02.Getting Started/Installing_Python.mov 2.7 MB
02.Getting Started/Using Loops.mov 2.9 MB
03.Intermediate/Advanced Data Types.mov 3.5 MB
03.Intermediate/Defining a Class.mov 4.2 MB
03.Intermediate/Defining Functions.mov 2.9 MB
03.Intermediate/Function Parameters.mov 2.2 MB
03.Intermediate/Object Methods.mov 1.5 MB
03.Intermediate/Type_Splicing.mov 3.5 MB
04.Advanced Applications/Modules & Packages.mov 7.7 MB
04.Advanced Applications/Reading Files.mov 5.5 MB
05.Wrapping Up/Real World Examples.mov 6.1 MB
05.Wrapping Up/Wrap Up.mov 800.8 kB
06.Credits/About the Author.mov 739.6 kB

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【影视】 Monty.Python.Live.Mostly.2014.BRRip.XviD.AC3-RARBG

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Subs/English.srt 146.0 kB
Subs/Monty.Python.Live.Mostly.2014.BRRip.XviD.AC3-RARBG.idx 922.3 kB
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【影视】 [FreeCourseSite.com] Udemy - Credit Risk Modeling in Python 2021

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13. Calculating expected loss/1. Calculating expected loss.mp4 132.9 MB
5. PD Model Data Preparation/25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).mp4 117.2 MB
9. PD model monitoring/3. Population stability index preprocessing.mp4 110.4 MB
1. Introduction/10. Different facility types (asset classes) and credit risk modeling approaches.mp4 109.5 MB
6. PD model estimation/5. Build a logistic regression model with p-values.mp4 107.4 MB
1. Introduction/8. Basel II approaches SA, F-IRB, and A-IRB.mp4 107.4 MB
5. PD Model Data Preparation/28. Data preparation. Preprocessing continuous variables creating dummies (Part 3).mp4 105.9 MB
8. Applying the PD Model for decision making/2. Creating a scorecard.mp4 102.2 MB
5. PD Model Data Preparation/18. Data preparation. Preprocessing discrete variables creating dummies (Part 2).mp4 97.8 MB
9. PD model monitoring/4. Population stability index calculation and interpretation.mp4 96.1 MB
4. General preprocessing/3. Preprocessing few continuous variables.mp4 87.8 MB
8. Applying the PD Model for decision making/8. Setting cut-offs.mp4 79.7 MB
7. PD model validation/3. Evaluation of model performance accuracy and area under the curve (AUC).mp4 79.6 MB
1. Introduction/1. What does the course cover.mp4 76.5 MB
7. PD model validation/5. Evaluation of model performance Gini and Kolmogorov-Smirnov.mp4 73.3 MB
5. PD Model Data Preparation/15. Data preparation. Preprocessing discrete variables visualizing results.mp4 69.6 MB
3. Dataset description/3. Dependent variables and independent variables.mp4 69.1 MB
6. PD model estimation/1. The PD model. Logistic regression with dummy variables.mp4 63.4 MB
5. PD Model Data Preparation/9. Data preparation. Splitting data.mp4 62.3 MB
1. Introduction/2. What is credit risk and why is it important.mp4 61.0 MB

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【压缩文件】 [ DevCourseWeb.com ] Data Structures with Python.zip

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[ DevCourseWeb.com ] Data Structures with Python.zip 2.6 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Python Programming - Understanding Advanced Concepts.zip

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【影视】 [DesireCourse.Net] Udemy - Python Programming Beginners Tutorial Python 3 Programming

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13. Object Oriented Programming/9. Class methods and Static methods.mp4 102.6 MB
10. Sets/1. Sets.mp4 100.8 MB
13. Object Oriented Programming/3. Defining Classes and methods in Jupyter NB.mp4 92.9 MB
12. User defined functions/9. Namespaces and Scope of variables.mp4 90.9 MB
13. Object Oriented Programming/4. Inheritance.mp4 89.3 MB
15. Modules and Packages/2. Importing modules.vtt 86.8 MB
13. Object Oriented Programming/2. Objects and Classes.mp4 84.2 MB
7. Lists/5. List methods.mp4 83.1 MB
1. Python Programming Tutorial - Introduction Topics/1. Introduction to Python Programming For Beginners.mp4 81.4 MB
12. User defined functions/6. args-kwargs.mp4 74.6 MB
13. Object Oriented Programming/6. Polymorphism.mp4 71.5 MB
15. Modules and Packages/2. Importing modules.mp4 71.4 MB
1. Python Programming Tutorial - Introduction Topics/5. Anaconda Jupyter Notebook.mp4 71.0 MB
12. User defined functions/1. Functions.mp4 61.8 MB
8. Dictionary/2. Dictionary methods.mp4 60.4 MB
12. User defined functions/4. Passing Arguments.mp4 59.0 MB
6. Boolean datatype/1. Boolean.mp4 58.9 MB
13. Object Oriented Programming/8. Name Mangling.mp4 58.3 MB
5. Strings/5. Formatting strings.mp4 58.3 MB
16. Errors and Exceptions/2. Exception Handling.mp4 57.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 Monty.Python.Live.Mostly.2014.720p.BluRay.H264.AAC-RARBG

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Monty.Python.Live.Mostly.2014.720p.BluRay.H264.AAC-RARBG.mp4 1.8 GB
Subs/Monty.Python.Live.Mostly.2014.720p.BluRay.H264.AAC-RARBG.sub 129.6 MB
Subs/Monty.Python.Live.Mostly.2014.720p.BluRay.H264.AAC-RARBG.idx 922.3 kB
Subs/2_English.srt 146.8 kB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
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【其他】 Dates and Times in Python

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1.Dates and Times/4.Dating Methods - Dates and Times in Python - Treehouse.WEBM 20.3 MB
2.Let's Build a Timed Quiz App/1.The Question Classes & the Plan - Dates and Times in Python - Treehouse.WEBM 12.4 MB
2.Let's Build a Timed Quiz App/2.The Quiz Class - Dates and Times in Python - Treehouse.WEBM 11.5 MB
3.Where on Earth do Timezones Make Sense/3.Timezonapalooza - Dates and Times in Python - Treehouse.WEBM 16.2 MB
3.Where on Earth do Timezones Make Sense/2.Actually, Use pytz Instead - Dates and Times in Python - Treehouse.WEBM 17.1 MB
3.Where on Earth do Timezones Make Sense/1.Introduction to Timezones - Dates and Times in Python - Treehouse.WEBM 10.9 MB
1.Dates and Times/1.Manipulating Time Already - Dates and Times in Python - Treehouse.WEBM 13.2 MB
1.Dates and Times/5.Wikipedia Links - Dates and Times in Python - Treehouse.WEBM 12.7 MB
1.Dates and Times/2.Time Deltas - Dates and Times in Python - Treehouse.WEBM 9.2 MB
2.Let's Build a Timed Quiz App/3.Taking The Quiz - Dates and Times in Python - Treehouse.WEBM 8.6 MB
1.Dates and Times/3.Today and Tomorrow - Dates and Times in Python - Treehouse.WEBM 8.3 MB

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【影视】 [DMC.RIP] [OTUS] Подготовительный курс по Python разработке (2019)

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[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Занятие №3. Организация кода в модули. Исключения и классы.mp4 978.4 MB
[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Занятие №4. Файлы и сеть. HTTP.mp4 392.6 MB
[DMC.RIP] Модуль 3. Продвинутый Python/[DMC.RIP] Занятие 10/[DMC.RIP] Занятие №10. NumPy.mp4 369.6 MB
[DMC.RIP] Модуль 3. Продвинутый Python/[DMC.RIP] Занятие №12. Shell, virtualenv, git.mp4 288.5 MB
[DMC.RIP] Модуль 2. Django/[DMC.RIP] Занятие №7. Django 3. Models, DB + ORM, Class-Based Views, Forms.mp4 288.3 MB
[DMC.RIP] Модуль 2. Django/[DMC.RIP] Занятие №9. Django 5. Модели и сигналы. Тестирование. Кастомизация settings.mp4 288.2 MB
[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Занятие 2/[DMC.RIP] Занятие №2. Функциональное программирование и работа с данными.mp4 281.7 MB
[DMC.RIP] Модуль 2. Django/[DMC.RIP] Занятие №8. Django 4. Raw SQL, индексы, нормализация данных.mp4 270.5 MB
[DMC.RIP] Модуль 2. Django/[DMC.RIP] Занятие №6. Django 2. more built-in template tags and filters, Class-Based Views.mp4 265.5 MB
[DMC.RIP] Модуль 2. Django/[DMC.RIP] Занятие №5. Django 1. Знакомство, URLs и functional based views.mp4 265.3 MB
[DMC.RIP] Модуль 3. Продвинутый Python/[DMC.RIP] Занятие 11/[DMC.RIP] Занятие №11. Pandas - анализ данных на Python.mp4 261.5 MB
[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Занятие 1/[DMC.RIP] Занятие №1. Базовые типы и структуры данных.mp4 126.6 MB
[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Занятие 1/[DMC.RIP] Презентация 1.pdf 2.9 MB
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[DMC.RIP] Модуль 1. Основы/[DMC.RIP] Сперва прочти!.docx 270.6 kB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Master Regular Expressions in Python with 50 examples.zip

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[ FreeCourseWeb.com ] Udemy - Master Regular Expressions in Python with 50 examples.zip 172.3 MB

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【影视】 [UdemyCourseDownloader] Python automation Excel, Word, PDF, Web Scraping and more

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08 Webscraping - mini project/026 Solution.mp4 148.3 MB
15 Modules in Python/043 Create Python module.mp4 112.5 MB
10 Play with Files and folders/029 Files and Folders - 1.mp4 82.6 MB
11 Errors and exception/033 Types of error.mp4 67.3 MB
10 Play with Files and folders/030 Files and Folders - 2.mp4 64.6 MB
12 Browser automation/036 Control browser through selenium.mp4 64.3 MB
10 Play with Files and folders/031 File Reading and writing.mp4 64.1 MB
13 GUI automation/037 Play with Mouse from Python.mp4 59.1 MB
10 Play with Files and folders/032 Copying moving files.mp4 45.3 MB
13 GUI automation/038 Play with Keyboard from Python.mp4 39.7 MB
11 Errors and exception/034 Handling exception.mp4 37.3 MB
11 Errors and exception/035 Raise exception and cleaning.mp4 36.6 MB
07 Web Scraping - Download web content and Extract it/023 Search Element by TagName and TagByClass.mp4 26.5 MB
14 Collections module/040 Default dictionary.mp4 24.0 MB
14 Collections module/039 Counter.mp4 23.2 MB
08 Webscraping - mini project/025 Problem.mp4 22.0 MB
14 Collections module/042 Namedtuple.mp4 21.3 MB
07 Web Scraping - Download web content and Extract it/022 Web Scraping Process.mp4 17.9 MB
07 Web Scraping - Download web content and Extract it/021 What is Web Scraping.mp4 16.9 MB
06 Automate - .pdf Portable document file/018 Read .pdf File.mp4 16.0 MB

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【影视】 [DesireCourse.Com] Udemy - Python for Data Structures, Algorithms, and Interviews!

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15 Recursion/104 Recursion Interview Problem - 4 - SOLUTION.mp4 107.4 MB
18 Graph Algorithms/155 Implementation of a Graph Adjacency List.mp4 95.9 MB
17 Searching and Sorting/128 Implementation of a Hash Table.mp4 92.6 MB
16 Trees/112 Binary Heap Implementation.mp4 78.6 MB
11 Algorithm Analysis and Big O/041 Big O Examples.mp4 70.2 MB
12 Array Sequences/048 Dynamic Array Excercise.mp4 65.3 MB
16 Trees/114 Implementation of Binary Search Trees - Part 1.mp4 62.5 MB
15 Recursion/102 Recursion Interview Problem - 3 - SOLUTION.mp4 61.1 MB
12 Array Sequences/046 Low Level Arrays.mp4 60.8 MB
12 Array Sequences/056 Find the Missing Element - Interview Problem - SOLUTION.mp4 59.4 MB
21 Mock Interview 1 - E-Commerce Company/192 On Site Question 1 -SOLUTION.mp4 57.5 MB
18 Graph Algorithms/160 Implementation of Graph Overview.mp4 56.6 MB
15 Recursion/100 Recursion Interview Problem - 2 - SOLUTION.mp4 56.1 MB
15 Recursion/095 Recursion Homework Example Problems - SOLUTIONS.mp4 54.6 MB
16 Trees/115 Implementation of Binary Search Trees - Part 2.mp4 52.4 MB
17 Searching and Sorting/143 Implementation of Quick Sort.mp4 52.3 MB
03 Resume Preparation/007 Resume Preparation.mp4 51.8 MB
11 Algorithm Analysis and Big O/040 Big O Notation.mp4 50.5 MB
17 Searching and Sorting/141 Implementation of Merge Sort.mp4 50.2 MB
19 Riddles/174 Hallway Lockers - Interview Problem - SOLUTION.mp4 49.4 MB

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【影视】 Udemy - A deep understanding of deep learning (with Python intro) 2-2023

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19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB

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【其他】 Python Crash Course Become a successful programmer today

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