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- 【影视】 [HarvardX (Harvard University)] CS50. Веб-программирование с Python и JavaScript (2020)
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文档个数:26
文档大小:64.6 GB
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00. HTML, CSS/lecture0-1080p.mp4 9.5 GB
04. SQL, Models and Migrations/lecture4-1080p.mp4 8.7 GB
05. JavaScript/lecture5-1080p.mp4 8.5 GB
03. Django/lecture3-1080p.mp4 7.6 GB
07. Testing, CI CD/lecture7-1080p.mp4 7.2 GB
06. User Interfaces/lecture6-1080p.mp4 7.1 GB
08. Scalability and Security/lecture8-1080p.mp4 6.7 GB
02. Python/lecture2-1080p.mp4 5.2 GB
01. GIT/lecture1-1080p.mp4 4.1 GB
00. HTML, CSS/lecture0.pdf 1.6 MB
08. Scalability and Security/lecture8.pdf 1.3 MB
01. GIT/lecture1.pdf 832.3 kB
04. SQL, Models and Migrations/lecture4.pdf 371.7 kB
07. Testing, CI CD/lecture7.pdf 152.4 kB
08. Scalability and Security/src8.zip 68.6 kB
07. Testing, CI CD/src7.zip 63.5 kB
05. JavaScript/lecture5.pdf 53.3 kB
03. Django/lecture3.pdf 53.2 kB
06. User Interfaces/lecture6.pdf 42.0 kB
06. User Interfaces/src6.zip 38.7 kB
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- 【压缩文件】 Complete Python 3 and Pandas Data Science Masterclass
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Complete Python 3 and Pandas Data Science Masterclass.zip 6.9 GB
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TutsGalaxy.com.txt 52 Bytes
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- 【影视】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 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
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Power BI Masterclass 8 - Python, Finance, and advanced DAX.zip
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[ FreeCourseWeb.com ] Udemy - Power BI Masterclass 8 - Python, Finance, and advanced DAX.zip 2.6 GB
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- 【影视】 codecamp - Профессия Python разработчик
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Группа 201807 Python - Лекция 5.mp4 235.6 MB
Группа 201807 Python - Лекция 2.mp4 223.4 MB
Группа 201807 Python - Лекция 1.mp4 222.0 MB
Группа 201807 Python - Лекция 3.mp4 213.4 MB
Группа 201807 Python - Лекция 6.mp4 198.4 MB
Группа 201807 Python - Лекция 4.mp4 171.1 MB
Группа 201807 Python - Вводная Лекция 0.mp4 129.4 MB
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- 【影视】 [Udemy] Deep Learning Course with Flutter & Python - Build 6 AI Apps (2020) [En]
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8. Sketch2Real GAN App/5. Saving User Sketch.mp4 194.5 MB
7. Image-To-Text NLP Algorithm/9. Live Camera Functionality - Part 2 & Finalizing.mp4 178.0 MB
8. Sketch2Real GAN App/8. Building our Neural Network.mp4 147.8 MB
7. Image-To-Text NLP Algorithm/8. Live Camera Functionality - Part 1.mp4 142.6 MB
8. Sketch2Real GAN App/13. Interacting with Flask & Debugging.mp4 142.3 MB
4. Flower Classifier/3. Setting up Home - Part 1.mp4 133.2 MB
8. Sketch2Real GAN App/12. Building a Flask Server to Deploy our Neural Network.mp4 122.6 MB
8. Sketch2Real GAN App/9. Going over Pix2Pix Algorithm & Training.mp4 115.8 MB
7. Image-To-Text NLP Algorithm/6. Fetching Response.mp4 115.4 MB
6. Sentiment Analysis NLP Algorithm/6. Set up functions for API in Flutter App.mp4 111.4 MB
4. Flower Classifier/8. Building our Neural Network & Exporting it.mp4 110.7 MB
8. Sketch2Real GAN App/3. Drawing functionality - Part 1.mp4 107.7 MB
6. Sentiment Analysis NLP Algorithm/7. Implement API in Flutter App & Finalizing.mp4 104.1 MB
3. Cat and Dog Classifier/6. Getting Dataset & Teachable Machine.mp4 101.0 MB
3. Cat and Dog Classifier/7. Adding TFLite functions in Flutter project.mp4 100.5 MB
5. Fruit & Vegetable Classifier/6. Building our Neural Network - Part 2.mp4 93.5 MB
7. Image-To-Text NLP Algorithm/7. Adding Logic & Testing API.mp4 92.4 MB
1. Introduction to Course/1. Course Introduction.mp4 86.2 MB
3. Cat and Dog Classifier/3. Importing assets & Configuring Project.mp4 83.5 MB
3. Cat and Dog Classifier/5. Setting up Home - Part 2.mp4 82.7 MB
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2020
- 【影视】 [FreeTutorials.Us] [UDEMY] Build an NBA Fantasy Projection Model in Python with Pandas [FTU]
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收录时间:2021-03-08
文档个数:153
文档大小:2.3 GB
最近下载:2025-05-14
人气:1177
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4. Pandas Building Blocks/13. Filtering Dataframes.mp4 96.5 MB
4. Pandas Building Blocks/16. Merging & Joining.mp4 93.7 MB
4. Pandas Building Blocks/7. Adding & Deleting Columns.mp4 83.8 MB
5. Building Our Model/10. Player Comparison Function.mp4 80.2 MB
6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp4 79.1 MB
5. Building Our Model/11. Projecting 2018-19 Season Stats.mp4 76.8 MB
5. Building Our Model/3. Normalizing Season Data.mp4 73.8 MB
5. Building Our Model/8. Weighting Stat Columns.mp4 72.9 MB
7. Winning Your Fantasy League/4. Draft Preparation.mp4 69.7 MB
5. Building Our Model/6. Calculating Player Similarity.mp4 66.9 MB
6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp4 65.7 MB
4. Pandas Building Blocks/18. Applying Functions.mp4 64.7 MB
7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp4 62.8 MB
4. Pandas Building Blocks/5. Attributes & Methods.mp4 60.8 MB
4. Pandas Building Blocks/12. Sorting Dataframes.mp4 58.3 MB
4. Pandas Building Blocks/11. Inplace Parameter.mp4 55.7 MB
4. Pandas Building Blocks/14. Groupby.mp4 53.6 MB
5. Building Our Model/2. Cleaning NBA Data.mp4 53.6 MB
7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp4 52.0 MB
4. Pandas Building Blocks/6. Selecting Columns.mp4 49.1 MB
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- 【文档书籍】 Python. Rusz głową! Wydanie II (2017, Helion) - Paul Barry.pdf
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收录时间:2021-03-08
文档个数:1
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Python. Rusz głową! Wydanie II (2017, Helion) - Paul Barry.pdf 84.7 MB
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- 【压缩文件】 Python tutorial - Basic
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收录时间:2021-03-08
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Python tutorial - Basic.zip 2.0 GB
Download more courses.url 123 Bytes
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TutsGalaxy.com.txt 52 Bytes
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Python
tutorial
Basic
- 【影视】 [GigaCourse.com] Udemy - Learn Python Programming Masterclass
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收录时间:2021-03-08
文档个数:2091
文档大小:9.7 GB
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人气:3241
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11 Using Databases in Python/198 Wildcards and Views.mp4 203.0 MB
17 ARCHIVED-Python Setup for Mac/284 IDLE on Mac OS X with a cool demo app.mp4 198.7 MB
18 ARCHIVED-Python Setup for Linux/292 Installing Intellij on Linux.mp4 141.9 MB
16 ARCHIVED-Python Setup for Windows/277 Installing IntelliJ on Windows.mp4 133.0 MB
17 ARCHIVED-Python Setup for Mac/285 Installing Intellij on Mac.mp4 115.4 MB
17 ARCHIVED-Python Setup for Mac/286 Configuring IntelliJ and Pycharm on Mac.mp4 109.8 MB
21 Extra Information - Source code and other stuff/317 Bonus Lecture and Information.mp4 105.8 MB
12 Generators Comprehensions and Lambda Expressions/260 Named Tuples.mp4 103.7 MB
01 Course Introduction/005 How to Get Help.mp4 102.2 MB
03 Stepping into the World of Python/035 String Formatting.mp4 100.4 MB
08 Input and Output (IO) in Python/111 Writing Binary Files Manually.mp4 95.3 MB
03 Stepping into the World of Python/034 String Replacement Fields.mp4 86.0 MB
12 Generators Comprehensions and Lambda Expressions/261 any and all with Comprehensions.mp4 79.1 MB
04 Program Flow Control in Python/039 Introduction to Blocks and Statements.mp4 77.3 MB
20 ARCHIVED-Program Flow Control in Python/314 While Loops.mp4 75.7 MB
18 ARCHIVED-Python Setup for Linux/293 Configuring IntelliJ and Pycharm on Linux.mp4 72.5 MB
12 Generators Comprehensions and Lambda Expressions/255 Map Intro.mp4 71.4 MB
12 Generators Comprehensions and Lambda Expressions/259 any and all.mp4 68.6 MB
04 Program Flow Control in Python/042 Using a Debugger in IntelliJ or Pycharm.mp4 68.3 MB
02 Install and Setup/010 Install IntelliJ IDEA for Mac.mp4 67.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - The Python Mega Course Build 10 Real World Applications
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文档个数:602
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27. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp4 264.4 MB
32. Application 9 Database Web App/10. Deploying the Web Application to a Live Server.mp4 204.4 MB
24. Application 5 Feel-Good Mobile App/9. Implementing the Login Page (Backend).mp4 192.9 MB
24. Application 5 Feel-Good Mobile App/11. Styiling the Login Page.mp4 185.9 MB
24. Application 5 Feel-Good Mobile App/10. Displaying Text to the User.mp4 184.8 MB
15. Working with CSV, JSON, and Excel Files/18. Example Geocoding Addresses with Pandas and Geopy.mp4 170.1 MB
32. Application 9 Database Web App/11. Bonus Lecture Implementing Download and Upload in your Web App.mp4 150.0 MB
24. Application 5 Feel-Good Mobile App/6. Implementing the Sign Up Page (Backend).mp4 140.1 MB
32. Application 9 Database Web App/9. Backend Sending Statistics to Users.mp4 138.8 MB
12. Imported Modules/2. Standard Python Modules.mp4 113.2 MB
24. Application 5 Feel-Good Mobile App/13. Making a Dynamic Hover Button.mp4 106.4 MB
23. Object Oriented Programming/4. Creating a Bank Account Object.mp4 101.3 MB
24. Application 5 Feel-Good Mobile App/3. Creating a Login Page (Frontend).mp4 95.6 MB
25. Making an APK for Android/2. Preparing the Environment for Deploying the App to and Android Phone.mp4 93.0 MB
6. The Basics Processing User Input/1. User Input.mp4 91.4 MB
25. Making an APK for Android/3. Creating an APK file for Android.mp4 90.6 MB
32. Application 9 Database Web App/8. Backend Emailing Database Values Back to the User.mp4 88.7 MB
1. Introduction/6. Installing Python 3 and the IDE (Windows, Mac, and Linux).mp4 88.5 MB
24. Application 5 Feel-Good Mobile App/4. Creating a Sign Up Page (Frontend) for New Users.mp4 84.1 MB
2. The Basics Small Program/2. Your First Python Program.mp4 83.9 MB
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10
FreeCourseSite
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- 【影视】 [Udemy] Машинное обучение - выделение факторов на Python (2021)
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文档个数:61
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3. Линейные модели/1. Метод максимального правдоподобия.mp4 353.2 MB
3. Линейные модели/6. Линейная регрессия и L1L2-регуляризация.mp4 319.3 MB
2. Часть 1. Процесс машинного обучения/4. Подготовка данных.mp4 299.3 MB
5. Часть 2. Линейное выделение факторов/1. Линейная регрессия для понижения размерности.mp4 294.0 MB
2. Часть 1. Процесс машинного обучения/6. Оптимизация гиперпараметров.mp4 286.7 MB
7. Часть 3. Матричные подходы/2. Сингулярное разложение (SVD).mp4 285.7 MB
4. Решающие деревья и ансамбли/1. Ансамблевые модели.mp4 264.0 MB
4. Решающие деревья и ансамбли/5. Ансамбль стекинга.mp4 249.6 MB
2. Часть 1. Процесс машинного обучения/7. Недообучение и переобучение.mp4 247.3 MB
9. Часть 4. Нелинейные подходы/3. t-SNE.mp4 244.4 MB
2. Часть 1. Процесс машинного обучения/8. Смещение, разброс и ошибка данных.mp4 239.7 MB
4. Решающие деревья и ансамбли/2. Дерево принятия решения.mp4 232.8 MB
6. Исследование ожидаемой продолжительности жизни/1. Ожидаемая продолжительность жизни.mp4 230.3 MB
5. Часть 2. Линейное выделение факторов/3. Правило локтя и GMM BIC.mp4 227.9 MB
2. Часть 1. Процесс машинного обучения/5. Разбиение выборки.mp4 222.4 MB
4. Решающие деревья и ансамбли/4. Сверхслучайные деревья.mp4 207.5 MB
5. Часть 2. Линейное выделение факторов/4. Оберточные методы.mp4 204.5 MB
5. Часть 2. Линейное выделение факторов/5. Взаимная информация.mp4 193.2 MB
3. Линейные модели/5. Метрики и расстояния.mp4 185.9 MB
5. Часть 2. Линейное выделение факторов/2. Выделение факторов с помощью деревьев решений.mp4 185.5 MB
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2021
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- 【压缩文件】 [ FreeCourseWeb.com ] Lynda - Python Code Challenges.zip
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[ FreeCourseWeb.com ] Lynda - Python Code Challenges.zip 294.0 MB
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- 【影视】 [Яндекс.Практикум] Профессия мидл python-разработчик [Часть 2 из 6]
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收录时间:2021-03-08
文档个数:69
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3. ETL/webinar/_ETL.mp4 892.0 MB
4.1. Async Api/1. Sprint Async Api/1. Часть команды - часть корабля/4. Техническое задание на второй модуль.pdf 12.0 MB
3. ETL/1. Sprint ETL/1. ETL/9. Архитектура для построения ETL из Postgres в Elasticsearch.pdf 2.1 MB
4.1. Async Api/1. Sprint Async Api/6. Async API. Сервис/FastAPI.pdf 1.3 MB
4.1. Async Api/1. Sprint Async Api/1. Часть команды - часть корабля/1. Добро пожаловать в командный проект.pdf 1.2 MB
4.1. Async Api/1. Sprint Async Api/2. Git. Назад в прошлое/3. Когда хочется позвать друзей.pdf 1.1 MB
3. ETL/1. Sprint ETL/1. ETL/11. Работа с состоянием.pdf 941.3 kB
3. ETL/1. Sprint ETL/1. ETL/8. Построение пайплайнов с помощью корутин.pdf 713.2 kB
3. ETL/1. Sprint ETL/1. ETL/10. Как решить проблему падения внешнего сервиса.pdf 698.0 kB
4.1. Async Api/1. Sprint Async Api/5. Async API. До рассвета/2. Twisted.pdf 556.2 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/2. Многозадачность в Python.pdf 530.2 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/1. Процессы и потоки.pdf 504.9 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/5. Асинхронность.pdf 493.5 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/4. Асинхронное программирование.pdf 466.7 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/6. Event-loop.pdf 437.7 kB
3. ETL/1. Sprint ETL/1. ETL/1. Синхронизация.pdf 364.8 kB
4.1. Async Api/1. Sprint Async Api/1. Часть команды - часть корабля/5. Осталось совсем немного.pdf 360.2 kB
4.1. Async Api/1. Sprint Async Api/2. Git. Назад в прошлое/1. Назад в прошлое.pdf 320.3 kB
4.1. Async Api/1. Sprint Async Api/2. Git. Назад в прошлое/4. Работаем с ветками.pdf 307.7 kB
4.1. Async Api/1. Sprint Async Api/4. Async API. От заката/3. Файл-дескриптор.pdf 125.3 kB
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- 【影视】 [Яндекс.Практикум] Профессия мидл python-разработчик (2020) [Часть 1 из 6]
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文档个数:131
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[2. Admin Panel/[webinar/1. Первый спринт.mp4 382.7 MB
[2. Admin Panel/[webinar/2. Конец модуля Admin Panel.mp4 293.5 MB
[1. Сервис полнотекстового поиска (Бесплатный модуль)/[4. SQLite/1. SQLite.pdf 3.0 MB
[1. Сервис полнотекстового поиска (Бесплатный модуль)/[2. Сравнение технологий полнотекстовых движков/4. Установка и настройка Elasticsearch.pdf 2.4 MB
[2. Admin Panel/[1. Sprint Admin Panel - 1/2. Проектная работа 1 спринта/2. Как сдавать проектную работу.pdf 1.9 MB
[2. Admin Panel/[2. Sprint Admin Panel - 2/5. Nginx/1. Обработка запросов в Production-среде.pdf 1.4 MB
[2. Admin Panel/[2. Sprint Admin Panel - 2/4. Docker/1. Что такое Docker и зачем он нужен.pdf 1.4 MB
[2. Admin Panel/[1. Sprint Admin Panel - 1/5. Django. Пробуждение силы/8. Применение миграций.pdf 1.3 MB
[2. Admin Panel/[2. Sprint Admin Panel - 2/2. Django. Скрытая угроза/3. Отладка запросов.pdf 1.3 MB
[1. Сервис полнотекстового поиска (Бесплатный модуль)/[5. Архитектура решения и решение проблем перегрузки/3. Тестирование решения.pdf 1.3 MB
[1. Сервис полнотекстового поиска (Бесплатный модуль)/[6. API на Flask/1. Спецификация методов API.pdf 1.3 MB
[1. Сервис полнотекстового поиска (Бесплатный модуль)/[7. Что дальше/2. Командная разработка.pdf 998.7 kB
[2. Admin Panel/[2. Sprint Admin Panel - 2/2. Django. Скрытая угроза/2. Django-ORM.pdf 996.9 kB
[2. Admin Panel/[1. Sprint Admin Panel - 1/5. Django. Пробуждение силы/10. Админка для кинотеатра.pdf 993.5 kB
[2. Admin Panel/[1. Sprint Admin Panel - 1/4. Миграция базы данных с Sqlite на PostgreSQL/2. Работа с Postgres через Python.pdf 981.4 kB
[2. Admin Panel/[1. Sprint Admin Panel - 1/5. Django. Пробуждение силы/1. Как вносить в базу новые фильмы без знания SQL.pdf 925.8 kB
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