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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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- 【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】 [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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- 【影视】 [HarvardX (Harvard University)] CS50. Веб-программирование с Python и JavaScript (2020)
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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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- 【影视】 [Яндекс.Практикум] Python-разработчик. Часть 9 из 9 (2020)
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20_спринт/web-2.mp4 811.9 MB
19_спринт/web-3.mp4 462.0 MB
19_спринт/web-1.mp4 451.7 MB
20_спринт/web-1.mp4 371.8 MB
19_спринт/_bonus_web/Митап Telegram client API + Slack (21.12.2020)/zoom_1.mp4 327.6 MB
19_спринт/PracticumNY2k21_31_12_hb.mp4 278.5 MB
19_спринт/web-2.mp4 270.1 MB
20_спринт/Дипломный проект/_screens_diplom/6/image (4).png 1.1 MB
20_спринт/Дипломный проект/_screens_diplom/6/image (2).png 1.0 MB
19_спринт/_screens/2/Снимок экрана 2021-01-05 в 5.21.58 PM.png 970.7 kB
19_спринт/_screens/3/Снимок экрана 2021-01-13 в 4.38.28 PM.png 947.6 kB
20_спринт/Дипломный проект/_screens_diplom/7/image (3).png 885.3 kB
20_спринт/Дипломный проект/_screens_diplom/8/Image from iOS.jpg 746.1 kB
19_спринт/_screens/3/Снимок экрана 2021-01-13 в 4.40.35 PM.png 661.2 kB
19_спринт/_screens/3/Снимок экрана 2021-01-13 в 4.40.23 PM.png 628.0 kB
20_спринт/Дипломный проект/foodgram-project-master.zip 528.7 kB
20_спринт/Дипломный проект/_screens_diplom/6/image (1).png 519.3 kB
19_спринт/_screens/3/Снимок экрана 2021-01-13 в 4.37.52 PM.png 477.5 kB
20_спринт/Дипломный проект/_screens_diplom/2/image.png 475.5 kB
20_спринт/Дипломный проект/_screens_diplom/6/image (5).png 380.4 kB
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- 【影视】 Formação Cientista de Dados com Python e R
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7. Artificial Neural Networks e Deep Learning/11. Python Neural Networks na Prática.mp4 201.0 MB
7. Artificial Neural Networks e Deep Learning/13. Python Deep Learning na Prática - Parte II.mp4 159.4 MB
3. Estatística II/15. Python Regressão Linear Múltipla.mp4 145.9 MB
13. Fundamentos de Gestão de Projetos/4. Framwork Clássico (Waterfall) Parte I.mp4 138.0 MB
1. Introdução/3. Roteiro.mp4 136.6 MB
8. Grafos e Redes Sociais/20. Python Igraph - Introdução Parte III.mp4 127.5 MB
2. Estatística I/21. Distribuição Binomial - Parte II.mp4 125.9 MB
7. Artificial Neural Networks e Deep Learning/12. Python Deep Learning na Prática - Parte I.mp4 122.9 MB
6. Machine Learning/39. Python Agrupamento com K-medoids.mp4 118.7 MB
6. Machine Learning/20. Python Classificação na Prática com Naive Bayes Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/15. Python Aula Bônus Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/6. Deep Learning.mp4 115.6 MB
11. Liguagem SQL/5. Populando o Banco de Dados.mp4 112.2 MB
2. Estatística I/10. Python Amostragem Parte II.mp4 110.2 MB
11. Liguagem SQL/2. Introdução.mp4 109.7 MB
12. NoSQL e MongoDB/10. MongoDB na prática Parte III.mp4 109.0 MB
6. Machine Learning/19. Python Classificação na Prática com Naive Bayes - Parte I.mp4 107.7 MB
8. Grafos e Redes Sociais/25. Python Igraph - Comunidades e Clique.mp4 106.6 MB
11. Liguagem SQL/7. Principais Comandos Select Parte I.mp4 106.2 MB
5. Séries Temporais/12. Python Previsão - Parte II.mp4 105.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Creating Python APIs Like a BOSS - The Django REST Framework
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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
2. API Basics - Making a Reddit Clone/10. Deleting Posts.mp4 82.0 MB
3. Adding an API to an Existing Project/4. Listing Completed Todos.mp4 74.0 MB
1. Introduction/1. What is an API and Why is it Important.mp4 70.4 MB
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
3. Adding an API to an Existing Project/2. ToDoWoo Walkthrough.mp4 26.1 MB
2. API Basics - Making a Reddit Clone/1. Curl and REST Clients.mp4 23.0 MB
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- 【影视】 [FreeCourseLab.com] Udemy - PYTHON - A to Z Full Course for Beginners
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4. Operators Basic/9. Bitwise Operators.mp4 28.5 MB
3. Veriabel a Basic Overview/1. A Basic Overview About Variables.mp4 27.7 MB
19. working with Database/1. Installation MySql with Python.mp4 26.4 MB
19. working with Database/2. Creating Database.mp4 21.5 MB
9. Play with String/1. Play With String.mp4 20.7 MB
18. OOPS Concepts/2. Class and Object.mp4 20.3 MB
4. Operators Basic/3. Arithmetic Operators.mp4 19.7 MB
8. Play with Numbers/1. Numbers.mp4 19.2 MB
17. Home Assignment On File/1. Home Assignment on File.mp4 19.1 MB
12. Play with Dictionary/2. Dictionary Methods.mp4 16.5 MB
14. Python Module/1. Module.mp4 15.8 MB
4. Operators Basic/11. Membership and Identity Operators in Python.mp4 15.3 MB
1. Introduction/1. Introduction.mp4 15.1 MB
19. working with Database/3. Insert data into MySql.mp4 14.6 MB
13. Function/2. Argument.mp4 14.3 MB
4. Operators Basic/7. Assignment Operators in Python.mp4 14.2 MB
18. OOPS Concepts/3. Inheritance.mp4 14.1 MB
5. Python Statements/3. If Elif Else Statement.mp4 13.8 MB
1. Introduction/4. Install Python IDE IDE - Sublime Text.mp4 13.7 MB
13. Function/3. Pass by value & Pass By Reference.mp4 13.6 MB
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Extra 01 - Surpresa.mp4 933.4 MB
03.mp4 913.6 MB
02.mp4 911.2 MB
04.mp4 830.7 MB
Extra 02 - Desafio Prático.mp4 603.4 MB
01.mp4 267.4 MB
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- 【影视】 Police Python 357 1976 720p.avi
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Police Python 357 1976 720p.avi 732.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Python 3 Deep Dive (Part 3)
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2. Associative Arrays - Theory!/3. Hash Maps.mp4 484.6 MB
3. Dictionaries/10. Custom Classes and Hashing - Lecture.mp4 408.2 MB
7. Serialization and Deserialization/10. Custom JSON Decoding - Lecture.mp4 330.5 MB
6. Project 1/2. Project 1 - Solution.mp4 298.1 MB
7. Serialization and Deserialization/11. Custom JSON Decoding - Coding.mp4 281.6 MB
3. Dictionaries/2. Creating Dictionaries - Lecture.mp4 266.3 MB
1. Introduction/1. Course Overview.mp4 258.6 MB
5. Sets/2. Basic Set Theory.mp4 250.1 MB
3. Dictionaries/8. Updating, Merging, and Copying - Lecture.mp4 246.0 MB
7. Serialization and Deserialization/7. Custom JSON Encoding - Coding.mp4 232.4 MB
7. Serialization and Deserialization/8. Using JSONEncoder - Lecture.mp4 231.9 MB
7. Serialization and Deserialization/13. Using JSONDecoder - Coding.mp4 226.3 MB
9. Specialized Dictionaries/9. ChainMap - Lecture.mp4 221.6 MB
3. Dictionaries/6. Dictionary Views - Lecture.mp4 215.8 MB
9. Specialized Dictionaries/8. Counter - Coding.mp4 210.8 MB
7. Serialization and Deserialization/15. Marshmallow.mp4 198.8 MB
7. Serialization and Deserialization/9. Using JSONEncoder - Coding.mp4 196.4 MB
2. Associative Arrays - Theory!/4. Python Dictionaries.mp4 191.7 MB
5. Sets/16. Dictionary Views - Lecture.mp4 188.9 MB
5. Sets/3. Python Sets.mp4 178.4 MB
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- 【影视】 [FreeCoursesOnline.Me] [Packt] Build a User Authentication Web App with Python and Django [FCO]
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03.Django Authentication/0310.Create a Registration Page.mp4 92.6 MB
03.Django Authentication/0301.Intro To Auth.mp4 89.0 MB
02.Building Out Our App/0206.Create a Bootstrap Navbar.mp4 85.9 MB
03.Django Authentication/0302.Create The Login Form.mp4 84.8 MB
03.Django Authentication/0311.Create a Registration Form.mp4 83.2 MB
03.Django Authentication/0303.Login Logic Part 1.mp4 81.1 MB
03.Django Authentication/0309.Intro To User Registration.mp4 73.7 MB
02.Building Out Our App/0205.Extends Base and Install Bootstrap.mp4 68.5 MB
03.Django Authentication/0315.Form Validation.mp4 65.0 MB
03.Django Authentication/0305.Add Messages.mp4 61.5 MB
01.Introduction/0102.Installing Python.mp4 60.5 MB
02.Building Out Our App/0202.Runserver and Migrate Database.mp4 60.5 MB
03.Django Authentication/0306.Determine if User is Authenticated.mp4 58.5 MB
03.Django Authentication/0304.Login Logic Part 2.mp4 55.9 MB
03.Django Authentication/0308.Adding User Profile Info To the Page.mp4 52.9 MB
02.Building Out Our App/0201.Start Project.mp4 52.9 MB
03.Django Authentication/0307.Logout a User.mp4 52.6 MB
02.Building Out Our App/0203.Startapp.mp4 51.8 MB
01.Introduction/0103.Virtualenv Virtual Environments.mp4 49.1 MB
03.Django Authentication/0319.Remove Password Link.mp4 41.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python
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8. Appendix FAQ/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 FAQ/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 FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
8. Appendix FAQ/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 FAQ/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 26.7 MB
8. Appendix FAQ/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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- 【影视】 [FreeCourseSite.com] Udemy - Complete Guide to Protocol Buffers 3 [Java, Golang, Python]
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6. Java Programming with Protocol Buffers/3. Simple Message Creation in Java.mp4 127.3 MB
6. Java Programming with Protocol Buffers/2. Gradle Project Setup & Code Generation.mp4 90.2 MB
8. Python Programming with Protocol Buffers/5. Complex Proto Message in Python.mp4 86.6 MB
8. Python Programming with Protocol Buffers/3. Simple Proto Message in Python.mp4 72.2 MB
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