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- 【影视】 www.SceneTime.com - Guardians Of The Glades S02E02 Python Tourniquet XviD-AFG
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Guardians.Of.The.Glades.S02E02.Python.Tourniquet.XviD-AFG.avi 1.0 GB
Screens/screen0001.png 445.4 kB
Screens/screen0003.png 367.1 kB
Screens/screen0002.png 189.2 kB
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7.rar 2.1 GB
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01 Welcome to the Python Programming Course Thank you for joining me/001 Welcome to this Python Course What you need to know before starting..mp4 205.7 MB
15 Data Visualization/058 Installing Modules for Visualization.mp4 70.6 MB
15 Data Visualization/060 Visualization Part 2.mp4 44.4 MB
15 Data Visualization/059 Visualization Part 1.mp4 43.2 MB
16 Numpy Library/065 Useful Functions from the Numpy Library.mp4 43.1 MB
18 Regular Expressions/071 Patterns.mp4 38.9 MB
14 All About Object Oriented Programming OOP/054 Operator Overloading.mp4 37.9 MB
17 Debugging/069 Commands for Debugging Part 2.mp4 35.8 MB
14 All About Object Oriented Programming OOP/053 Class Methods Part 2.mp4 28.8 MB
14 All About Object Oriented Programming OOP/055 Class Inheritance Part 1.mp4 28.1 MB
16 Numpy Library/064 Creating Numpy Objects.mp4 26.3 MB
15 Data Visualization/062 Pandas Library.mp4 25.5 MB
14 All About Object Oriented Programming OOP/051 Class Definition and Object Instantiation.mp4 25.3 MB
17 Debugging/068 Commands for Debugging Part 1.mp4 24.9 MB
18 Regular Expressions/073 Setting the Search Parameters.mp4 24.8 MB
13 Modules and Packages/049 Built-in Modules.mp4 23.8 MB
09 Functions in Python/030 Passing Arguments Default Parameters Scope and Nested Functions.mp4 22.0 MB
17 Debugging/067 The pdb Module.mp4 21.0 MB
18 Regular Expressions/070 Creating Evaluating and Compiling Regular Expressions.mp4 21.0 MB
15 Data Visualization/061 Visualization Part 3.mp4 20.3 MB
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03_Спринт/Webinar3(Django ORM, достижение целей).mp4 1.6 GB
04_Спринт/Webinar-4 (Django ORM, поиск ответов).mp4 323.0 MB
Django 2.1. Практика создания веб-сайтов на Python.pdf 70.7 MB
03_Спринт/12_Django создаём приложение/16_Базовый шаблон/static.zip 1.9 MB
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03_Спринт/12_Django создаём приложение/08_Регистрация модели Post в админке/01-task_files/Screen_Shot_2019-10-01_at_18.05.05_1577612454.png 558.5 kB
03_Спринт/12_Django создаём приложение/08_Регистрация модели Post в админке/01_Регистрация модели Post в админке_files/Screen_Shot_2019-10-01_at_18.05.05_1577612454.png 558.5 kB
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03_Спринт/_скрины проект/Снимок экрана 2020-06-14 в 22.21.38.png 482.2 kB
03_Спринт/_скрины проект/Снимок экрана 2020-06-15 в 18.59.49.png 473.9 kB
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03_Спринт/12_Django создаём приложение/08_Регистрация модели Post в админке/01-task_files/Screen_Shot_2019-10-01_at_18.01.42_1577612414.png 410.5 kB
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Complete Python 3 Programming Bootcamp Beginner to Advanced.zip 5.2 GB
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3. Adding an API to an Existing Project/10. Login Tokens.mp4 116.2 MB
3. Adding an API to an Existing Project/8. User SignUp.mp4 104.5 MB
2. API Basics - Making a Reddit Clone/7. Upvoting Posts.mp4 86.8 MB
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2. API Basics - Making a Reddit Clone/6. Creating Posts via the API.mp4 68.1 MB
2. API Basics - Making a Reddit Clone/9. Deleting Votes.mp4 64.6 MB
3. Adding an API to an Existing Project/9. Creating Tokens.mp4 60.2 MB
2. API Basics - Making a Reddit Clone/2. Zappit Models.mp4 59.7 MB
3. Adding an API to an Existing Project/5. Create, Retrieve, Update, Destroy.mp4 56.8 MB
2. API Basics - Making a Reddit Clone/4. Serializers.mp4 49.1 MB
3. Adding an API to an Existing Project/6. Completing Todos.mp4 48.2 MB
2. API Basics - Making a Reddit Clone/3. Django REST Framework.mp4 46.6 MB
4. Finishing Thoughts/1. So Long My Friend....mp4 40.9 MB
2. API Basics - Making a Reddit Clone/5. Adding Posts to the Database.mp4 35.2 MB
3. Adding an API to an Existing Project/3. Adding the API.mp4 33.5 MB
2. API Basics - Making a Reddit Clone/11. Recap.mp4 31.2 MB
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48 - 9.2 Learn SciPy.mp4 697.3 MB
77 - 14.4 Use function-based concurrency.mp4 637.7 MB
08 - 2.2 Manage Colab documents.mp4 473.7 MB
84 - 16.1 PyTest.mp4 391.0 MB
24 - 5.1 Use lists and tuples.mp4 387.9 MB
85 - 16.2 Visual Studio Code.mp4 382.4 MB
79 - 15.1 Share with Github.mp4 375.5 MB
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75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
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07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
27 - 5.4 Work with the numpy array.mp4 245.8 MB
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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 69.8 MB
02. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 57.1 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 40.6 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
03. Python Variables and Data Types/1. Variables.mp4 27.9 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19.7 MB
02. Introduction to programming with Python/3. Why Python.mp4 16.4 MB
16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 16.1 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.9 MB
02. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15.6 MB
02. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 14.2 MB
01. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.7 MB
02. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.9 MB
14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12.2 MB
14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.4 MB
12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.3 MB
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17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
2. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
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3. Linear Regression/2. Linear regression theory - optimization.mp4 44.3 MB
12. Neural Networks/29. Neural network example II - iris dataset.mp4 37.3 MB
3. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
12. Neural Networks/12. Optimization - cost function.mp4 27.2 MB
6. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4 24.5 MB
6. Naive Bayes Classifier/5. Text clustering - basics.mp4 23.2 MB
19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
7. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4 22.7 MB
4. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 22.4 MB
14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4 22.0 MB
7. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4 21.8 MB
12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4 20.6 MB
12. Neural Networks/13. Simplified feedforward network.mp4 20.4 MB
8. Decision Trees/2. Decision trees introduction - entropy.mp4 20.2 MB
12. Neural Networks/2. Axons and neurons in the human brain.mp4 20.2 MB
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6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
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6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
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3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
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3. Тестирование API/3. Тестирование API.mp4 426.5 MB
7. Работа с элементами/7. Работа с элементами.mp4 327.8 MB
6. Поиск элементов/6. Поиск элементов.mp4 317.0 MB
12. Протоколирование и отчетность/12. Протоколирование и отчетность.mp4 290.6 MB
5. Основы Selenium/5. Основы Selenium.mp4 265.5 MB
14. Pytest-отчёты/14. Pytest-отчёты.mp4 251.1 MB
13. Удаленный запуск Selenium/13. Удаленный запуск Selenium.mp4 250.3 MB
30. Расширенное использование Robot Framework/30. Расширенное использование Robot Framework.mp4 245.9 MB
4. Data Driven Testing/4. Data Driven Testing.mp4 225.1 MB
29. Основы Behaviour Driven Testing. Введение в Robot Framework/29. Основы Behaviour Driven Testing. Введение в Robot Framework.mp4 205.8 MB
32. Использование Mock/32. Использование Mock.mp4 204.7 MB
27. Подготовка тестового окружения/27. Подготовка тестового окружения.mp4 198.9 MB
22. Работа с сетью II. Протоколы низкого уровня/22. Работа с сетью II. Протоколы низкого уровня.mp4 195.0 MB
2. Введение в Pytest/2.Введение в Pytest .mp4 189.5 MB
16. Анализ логов веб-серверов/16. Анализ логов веб-серверов.mp4 180.3 MB
21. Работа с сетью I. Протоколы прикладного уровня/21. Работа с сетью I. Протоколы прикладного уровня.mp4 177.2 MB
9. Ожидание элементов/9. Ожидание элементов.mp4 177.2 MB
26. Непрерывная интеграция/26. Непрерывная интеграция.mp4 176.3 MB
15. Allure-отчёты/15. Allure-отчёты.mp4 175.6 MB
18. Траблшутинг в Linux. Диагностика сетевых неисправностей/18. Траблшутинг в Linux. Диагностика сетевых неисправностей.mp4 174.0 MB
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Программирование для детей на языке Python.pdf 90.1 MB
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8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
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