- 【影视】 [WebForMySelf@Андрей Кудлай–2019–unpacked] Python. Полное руководство
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videokurs/part1/31.mp4 139.1 MB
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videokurs/part2/24.mp4 117.0 MB
videokurs/part1/34.mp4 96.5 MB
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videokurs/part1/48.mp4 85.8 MB
videokurs/part2/15.mp4 81.8 MB
videokurs/part1/30.mp4 80.1 MB
videokurs/part2/17.mp4 77.2 MB
videokurs/part1/35.mp4 74.2 MB
videokurs/part1/28.mp4 71.0 MB
videokurs/part2/20.mp4 69.3 MB
videokurs/part2/16.mp4 67.6 MB
videokurs/part1/33.mp4 65.9 MB
videokurs/part2/2.mp4 64.1 MB
videokurs/part2/10.mp4 63.7 MB
videokurs/part2/9.mp4 57.7 MB
videokurs/part1/12.mp4 57.6 MB
videokurs/part2/11.mp4 57.4 MB
videokurs/part2/1.mp4 57.3 MB
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Course/30. Go Deeper In Django/2. Authentication 2.mp4 174.9 MB
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Course/29. Django/2. Models.mp4 105.6 MB
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Course/28. Basics For Django/1. Learn Basic Comments For MAC OS.mp4 92.6 MB
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Course/29. Django/1. Hello World.mp4 83.9 MB
Course/28. Basics For Django/2. Python Package Managing.mp4 83.3 MB
Course/8. Intermediate Bootstrap/5. Carousel 1.mp4 79.3 MB
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- 【影视】 Django 2. Python.The.Ultimate. Web. Development. Bootcamp
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Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
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Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
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Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
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Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
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08 Бот с Django/061 Создаем Сайт Админки.mp4 635.7 MB
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05 Настройка логики в боте/035 Работа в каналах.mp4 271.5 MB
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06 Работа с Базами данных/045 Работа с SQLite.mp4 244.8 MB
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05 Настройка логики в боте/041 Работа с платежами (Qiwi).mp4 208.7 MB
07 Запуск бота на сервере/058 Запуск бота на Webhook.mp4 202.8 MB
06 Работа с Базами данных/046 Работа с PostgreSQL.mp4 197.0 MB
04 Работа с асинхронной библиотекой aiogram/024 Фильтры и Команды.mp4 193.0 MB
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09 Бонусы/064 Запуск блокирующих функций асинхронно.mp4 178.3 MB
07 Запуск бота на сервере/057 Деплой бота и базы в контейнере.mp4 177.9 MB
07 Запуск бота на сервере/055 Создаем и подключаемся к базе PostgreSQL на Ubuntu.mp4 172.7 MB
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15. Python e MongoDB/7. Esercitazione pymongo Parte 1.mp4 223.6 MB
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15. Python e MongoDB/9. Esercitazione pymongo Parte 3.mp4 112.4 MB
15. Python e MongoDB/10. Esercitazione pymongo Parte 4.mp4 111.1 MB
15. Python e MongoDB/8. Esercitazione pymongo Parte 2.mp4 108.0 MB
11. Advanced Python/6. Il costruttore __new__.mp4 99.3 MB
14. Python e RabbitMQ/7. Scriviamo un Producer in Python.mp4 95.5 MB
8. Esercitazione Object-Oriented Python/4. Soluzione 2 Aggiungere una Property.mp4 93.7 MB
2. Introduzione/4. Usiamo Python.mp4 92.5 MB
14. Python e RabbitMQ/2. Architetture Client-Server e Producer-Consumer.mp4 87.1 MB
12. Python 3.7/3. Le Data Classes.mp4 86.0 MB
13. Python 3.8/1. Assignment Expressions.mp4 85.7 MB
15. Python e MongoDB/2. Modellazione Relazionale.mp4 83.0 MB
8. Esercitazione Object-Oriented Python/2. Soluzione 1 La Classe ContoCorrente.mp4 82.8 MB
15. Python e MongoDB/3. JSON.mp4 78.8 MB
1. SEZIONE PRELIMINARE Introduzione al Paradigma Object-Oriented/3. L'Incapsulamento.mp4 78.6 MB
15. Python e MongoDB/5. Documenti e Collezioni.mp4 78.4 MB
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10. Moduli e Package/3. Importazione.mp4 75.5 MB
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14 - Downloading an Article.mp4 35.2 MB
18 - Building a Corpus of Tech Articles.mp4 30.3 MB
20 - Identifying Themes Using K-Means Clustering.mp4 22.9 MB
16 - Extracting a Summary.mp4 19.1 MB
19 - Understanding the Clustering Workflow.mp4 18.6 MB
22 - Assigning a Theme to an Article.mp4 14.4 MB
15 - Preprocessing Article Text.mp4 12.6 MB
02 - Recognizing Natural Language Processing Applications.mp4 12.5 MB
12 - Auto-summarizing Text Using a Rule-based Model.mp4 9.1 MB
21 - Understanding the Classification Workflow.mp4 8.3 MB
10 - Understanding Types of Machine Learning Problems in NLP.mp4 7.7 MB
08 - Disambiguating Word Meanings.mp4 7.6 MB
11 - Understanding the Mechanics of Machine Learning.mp4 6.3 MB
03 - Understanding NLP Tasks.mp4 6.2 MB
05 - Removing Stopwords.mp4 5.9 MB
07 - Stemming and POS Tagging.mp4 5.8 MB
09 - Contrasting Rule Based and Machine Learning Approaches.mp4 5.8 MB
06 - Identifying Bigrams.mp4 5.3 MB
04 - Tokenizing Text.mp4 4.7 MB
13 - Understanding the Mechanics.mp4 4.3 MB
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6. FINDING MY DREAM CAR/5. 4-05 Application of the Methodology (and the Results!).mp4 355.3 MB
6. FINDING MY DREAM CAR/3. 4-03 Creation of the Carpools I.mp4 282.7 MB
7. THE ADD-ONs/1. 5-01 Refinements of the Methodology.mp4 218.9 MB
7. THE ADD-ONs/2. 5-02 How to run this.mp4 217.9 MB
5. SCRAPE THE THIRD WEBSITE/8. 3-08 Solutions 1-2.mp4 163.8 MB
6. FINDING MY DREAM CAR/4. 4-04 Creation of the Carpools II.mp4 150.6 MB
5. SCRAPE THE THIRD WEBSITE/5. 3-05 flip_pages Function.mp4 150.2 MB
5. SCRAPE THE THIRD WEBSITE/4. 3-04 Parse Function.mp4 148.8 MB
3. SCRAPE THE FIRST WEBSITE/5. 1-05 Spider Response Validation.mp4 147.4 MB
4. SCRAPE THE SECOND WEBSITE/5. 2-05 Parse Function I.mp4 119.6 MB
5. SCRAPE THE THIRD WEBSITE/1. 3-01 Site Investigation I.mp4 113.1 MB
4. SCRAPE THE SECOND WEBSITE/4. 2-04 Locating Data.mp4 100.6 MB
4. SCRAPE THE SECOND WEBSITE/8. 2-08 flip_pages Function I.mp4 99.0 MB
4. SCRAPE THE SECOND WEBSITE/10. 2-10 Error Analysis.mp4 90.2 MB
5. SCRAPE THE THIRD WEBSITE/9. 3-09 Solution 3.mp4 86.2 MB
3. SCRAPE THE FIRST WEBSITE/8. 1-08 Spider Parse Function III.mp4 85.5 MB
4. SCRAPE THE SECOND WEBSITE/7. 2-07 start_requests Function.mp4 84.5 MB
3. SCRAPE THE FIRST WEBSITE/6. 1-06 Spider Parse Function I.mp4 80.5 MB
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4. SCRAPE THE SECOND WEBSITE/1. 2-01 First Thoughts.mp4 79.9 MB
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10. Linear algebra/18. Linear algebra BUG HUNT!.mp4 129.6 MB
6. Algebra 2/20. Algebra 2 bug hunt!.mp4 127.1 MB
5. Graphing and visualization/13. Graphing bug hunt!.mp4 123.5 MB
9. Calculus/19. Calculus bug hunt!.mp4 109.7 MB
6. Algebra 2/6. The quadratic equation.mp4 100.6 MB
10. Linear algebra/12. Solving a system of equations.mp4 96.8 MB
5. Graphing and visualization/9. Making images from matrices.mp4 95.3 MB
10. Linear algebra/9. Various special matrices.mp4 94.6 MB
3. Introduction to Sympy and LaTeX/4. Intro to Sympy, part 2.mp4 94.1 MB
9. Calculus/13. Finding critical points exercise.mp4 93.9 MB
2. Arithmetic/16. Arithmetic bug hunt!.mp4 93.2 MB
2. Arithmetic/4. Printing out equations in Jupyter notebook.mp4 92.9 MB
3. Introduction to Sympy and LaTeX/3. Intro to LaTeX.mp4 89.8 MB
6. Algebra 2/14. Graphing the complex roots of unity.mp4 88.5 MB
9. Calculus/12. Finding critical points.mp4 87.6 MB
8. Trigonometry/6. Converting angles exercise.mp4 86.8 MB
8. Trigonometry/9. Graphing and resolution Exercise.mp4 86.4 MB
7. Graphing conic sections/4. Graphing circles.mp4 86.1 MB
4. Algebra 1/15. Adding polynomials.mp4 85.4 MB
2. Arithmetic/14. Create interactive math functions, part 2.mp4 84.9 MB
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10. Machine Learning/16. Decision Trees and Random Forests.mp4 252.2 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.2 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 107.0 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB
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Module 2 - IO/2.6 File IO - Opening Reading and Closing.mp4 37.6 MB
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Module 3 - Classes/3.3 Iterators and Generators Part 1.mp4 24.4 MB
Module 1 - Introduction/Module 1 - Introduction.mp4 21.8 MB
Module 3 - Classes/3.5 Exceptions.mp4 20.9 MB
Module 3 - Classes/3.1 Implementing Classes Part 2.mp4 18.5 MB
Module 4 - Modules/4.1 Module Deep-Dive.mp4 16.7 MB
Module 2 - IO/2.5 File IO - Opening Writing and Closing.mp4 13.5 MB
Module 4 - Modules/4.2 Creating a Module.mp4 12.4 MB
Module 2 - IO/2.1 Using Inputs Effectively Part 1.mp4 12.2 MB
Module 2 - IO/2.2 Using Inputs Effectively Part 2.mp4 11.3 MB
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Module 2 - IO/2.3 Using Inputs Effectively Part 3.mp4 9.1 MB
Module 3 - Classes/3.6 Summary and Review.mp4 4.0 MB
Module 4 - Modules/4.3 Course Summary and Review.mp4 3.9 MB
Supplemental Materials/Cheat Sheet - Lists.pdf 360.1 kB
Supplemental Materials/Cheat Sheet - Dictionaries.pdf 350.1 kB
Supplemental Materials/Cheat Sheet - if while.pdf 350.0 kB
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06 Intro to Web Server Programming/001 Intro.mp4 92.1 MB
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08 Pythons Flask Web development Framework/007 Bootstrap incorporation.mp4 84.3 MB
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07 MySQL database with Python/007 Nohup.mp4 77.9 MB
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04 Using Python with the Internet/004 urllib headers.mp4 69.7 MB
04 Using Python with the Internet/002 urllib module.mp4 66.5 MB
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08 Pythons Flask Web development Framework/002 Flask setup.mp4 56.0 MB
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