- 【影视】 [FreeCourseLab.com] Udemy - Python 3 Deep Dive (Part 1)
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4. Numeric Types/11. Floats Equality Testing - Coding.mp4 249.4 MB
7. Scopes, Closures and Decorators/6. Closures - Lecture.mp4 199.6 MB
7. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.mp4 175.4 MB
4. Numeric Types/4. Integers Constructors and Bases - Lecture.mp4 143.0 MB
8. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.mp4 141.4 MB
8. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.mp4 134.1 MB
6. First-Class Functions/13. Reducing Functions - Lecture.mp4 131.7 MB
7. Scopes, Closures and Decorators/12. Decorator Application (Timer).mp4 131.7 MB
7. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.mp4 129.2 MB
4. Numeric Types/14. Floats Rounding - Lecture.mp4 128.1 MB
7. Scopes, Closures and Decorators/7. Closures - Coding.mp4 117.8 MB
7. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.mp4 116.4 MB
6. First-Class Functions/18. The operator Module - Coding.mp4 114.3 MB
6. First-Class Functions/11. Map, Filter, Zip and List Comprehensions - Lecture.mp4 111.3 MB
7. Scopes, Closures and Decorators/10. Decorators (Part 1) - Lecture.mp4 110.6 MB
7. Scopes, Closures and Decorators/4. Nonlocal Scopes - Lecture.mp4 110.3 MB
3. Variables and Memory/4. Garbage Collection.mp4 109.6 MB
8. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.mp4 109.3 MB
7. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.mp4 108.2 MB
4. Numeric Types/28. Booleans Precedence and Short-Circuiting - Lecture.mp4 107.8 MB
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- 【影视】 Treehouse - Regular Expressions in Python
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1.Introduction to Regular Expressions/6.Groups - Regular Expressions in Python - Treehouse.mp4 19.3 MB
1.Introduction to Regular Expressions/7.Compiling and Loops - Regular Expressions in Python - Treehouse.WEBM 17.7 MB
1.Introduction to Regular Expressions/1.Reading Files - Regular Expressions in Python - Treehouse.WEBM 16.4 MB
1.Introduction to Regular Expressions/5.Negation - Regular Expressions in Python - Treehouse.WEBM 14.0 MB
1.Introduction to Regular Expressions/2.Escape Hatches - Regular Expressions in Python - Treehouse.WEBM 13.3 MB
1.Introduction to Regular Expressions/3.Counts - Regular Expressions in Python - Treehouse.WEBM 12.4 MB
1.Introduction to Regular Expressions/4.Sets - Regular Expressions in Python - Treehouse.WEBM 11.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Unsupervised Deep Learning in Python
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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB
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- 【影视】 [FreeTutorials.Us] deep-learning-recurrent-neural-networks-in-python
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03 Recurrent Neural Networks for NLP/018 Generating Poetry in Code part 1.mp4 55.0 MB
04 Advanced RNN Units/030 Learning from Wikipedia Data in Code part 1.mp4 51.1 MB
03 Recurrent Neural Networks for NLP/021 Classifying Poetry in Code.mp4 48.1 MB
07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
02 The Simple Recurrent Unit/010 The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
02 The Simple Recurrent Unit/012 The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
04 Advanced RNN Units/031 Learning from Wikipedia Data in Code part 2.mp4 26.9 MB
04 Advanced RNN Units/023 RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
07 Appendix/037 How to Code by Yourself part 1.mp4 25.7 MB
02 The Simple Recurrent Unit/011 Theano Scan Tutorial.mp4 24.9 MB
04 Advanced RNN Units/032 Visualizing the Word Embeddings.mp4 24.6 MB
04 Advanced RNN Units/027 LSTM in Code.mp4 20.3 MB
05 Batch Training/033 Batch Training for Simple RNN.mp4 17.4 MB
04 Advanced RNN Units/025 GRU in Code.mp4 15.8 MB
07 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
03 Recurrent Neural Networks for NLP/019 Generating Poetry in Code part 2.mp4 14.2 MB
04 Advanced RNN Units/028 Learning from Wikipedia Data.mp4 13.4 MB
04 Advanced RNN Units/029 Alternative to Wikipedia Data Brown Corpus.mp4 13.1 MB
06 TensorFlow/034 Simple RNN in TensorFlow.mp4 12.6 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 10.0 MB
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- 【影视】 [FreeCourseLab.com] Udemy - Advanced REST APIs with Flask and Python
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4. Advanced e-mail confirmation/5. Creating our ConfirmationResource.mp4 159.5 MB
6. Image uploads/6. Creating our image helper library.mp4 157.2 MB
9. Payments with Stripe/9. Using the Association Object in our Resourcee.mp4 152.6 MB
2. Serialization with Marshmallow/4. Migrating from virtualenv to Pipenv.mp4 140.5 MB
3. E-mail confirmations/8. Sending e-mails with Mailgun (Part 1).mp4 132.9 MB
3. E-mail confirmations/6. Telling users they are active.mp4 126.7 MB
4. Advanced e-mail confirmation/3. Creating the ConfirmationModel.mp4 126.3 MB
2. Serialization with Marshmallow/6. Using vanilla Marshmallow with the API.mp4 123.8 MB
5. Postman documentation and tests/5. JavaScript tests in Postman.mp4 120.9 MB
4. Advanced e-mail confirmation/13. Updating our resources to use translations.mp4 117.4 MB
2. Serialization with Marshmallow/7. Introduction to Flask-Marshmallow.mp4 112.4 MB
9. Payments with Stripe/6. After payment receiving order data.mp4 106.4 MB
2. Serialization with Marshmallow/8. Adding items to our REST API.mp4 103.1 MB
6. Image uploads/11. Another example user avatars.mp4 100.8 MB
5. Postman documentation and tests/6. Running entire collections in Postman.mp4 100.3 MB
6. Image uploads/10. Retrieving and deleting images.mp4 99.7 MB
6. Image uploads/4. Config files in Flask.mp4 99.3 MB
1. Introduction/5. Reviewing the beginner course code.mp4 97.2 MB
9. Payments with Stripe/7. Creating our OrderModel.mp4 93.0 MB
9. Payments with Stripe/8. Many-to-many relationships with SQLAlchemy.mp4 92.7 MB
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aaf-monty.python.almost.the.truth.the.lawyers.cut.extras.outtakes.avi 577.2 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e05.avi 576.5 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e02.avi 576.5 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e04.avi 576.5 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e03.avi 576.4 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e01.avi 576.4 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.s01e06.avi 576.3 MB
aaf-monty.python.almost.the.truth.the.lawyers.cut.extras.the.sketches.avi 244.5 MB
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- 【影视】 [FreeTutorials.Eu] [UDEMY] The Complete Python 3 Course Beginner to Advanced! [FTU]
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01-Introduction to Programming with Python/003-Windows setup.mp4 122.1 MB
14-Project #10 - Speech Recognition & AI/139-Introduction to machine learning.mp4 114.7 MB
04-Project #2 - RPG Battle Script/050-Enemy artificial intelligence.mp4 101.7 MB
01-Introduction to Programming with Python/001-Introduction to Python.mp4 98.1 MB
01-Introduction to Programming with Python/002-Mac Linux installation.mp4 96.7 MB
09-Project #5 - Web Development Project Using Web.py/090-Image uploads and avatars.mp4 94.0 MB
09-Project #5 - Web Development Project Using Web.py/086-User settings and updating Mongo.mp4 73.0 MB
04-Project #2 - RPG Battle Script/037-Enemy instantiation.mp4 64.0 MB
04-Project #2 - RPG Battle Script/041-Adding items.mp4 60.7 MB
05-Additional Python Resources/054-The Python Package Index (PyPI).mp4 59.6 MB
04-Project #2 - RPG Battle Script/039-Turning our magic into a class.mp4 59.4 MB
04-Project #2 - RPG Battle Script/045-Working HP bars.mp4 58.7 MB
04-Project #2 - RPG Battle Script/038-Using magic.mp4 55.8 MB
09-Project #5 - Web Development Project Using Web.py/089-Adding post comments.mp4 54.8 MB
04-Project #2 - RPG Battle Script/044-Adding members to our party.mp4 53.4 MB
12-Project #8 - PyQt Web Browser/117-QWebEngine implementation.mp4 53.2 MB
04-Project #2 - RPG Battle Script/042-Implementing different item types.mp4 51.3 MB
14-Project #10 - Speech Recognition & AI/145-Creating the illusion of consciousness.mp4 50.7 MB
12-Project #8 - PyQt Web Browser/126-QtSplitter and section wrap up.mp4 50.7 MB
04-Project #2 - RPG Battle Script/048-Multiple enemies pt.1.mp4 49.5 MB
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- 【影视】 Udemy - Learn to code in Python and learn Adobe Photoshop today!
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2_-_Learn_basic_design_in_Photoshop/29_-_11._Negative_space_and_pictures.mp4 39.9 MB
2_-_Learn_basic_design_in_Photoshop/28_-_10._Adding_in_abstract_concepts.mp4 36.9 MB
2_-_Learn_basic_design_in_Photoshop/26_-_08._Making_an_inpirational_poster.mp4 26.4 MB
2_-_Learn_basic_design_in_Photoshop/24_-_06._Making_an_app_icon.mp4 21.7 MB
2_-_Learn_basic_design_in_Photoshop/25_-_07._Making_an_ebook_cover.mp4 21.4 MB
2_-_Learn_basic_design_in_Photoshop/27_-_09._Making_an_ad_with_negative_space.mp4 20.9 MB
2_-_Learn_basic_design_in_Photoshop/23_-_05._Making_another_simple_ad.mp4 18.0 MB
2_-_Learn_basic_design_in_Photoshop/22_-_04._Making_a_simple_banner_ad.mp4 16.8 MB
1_-_Learn_how_to_code_in_Python/10_-_10._Printing_lists.mp4 13.8 MB
1_-_Learn_how_to_code_in_Python/15_-_15._Else_if_statments.mp4 12.0 MB
1_-_Learn_how_to_code_in_Python/8_-_08._Manipulating_strings.mp4 11.0 MB
2_-_Learn_basic_design_in_Photoshop/21_-_03._Starting_a_new_project.mp4 10.3 MB
1_-_Learn_how_to_code_in_Python/11_-_11._Sorting_lists_appending_lists_and_more.mp4 9.8 MB
1_-_Learn_how_to_code_in_Python/9_-_09._Lists.mp4 9.0 MB
1_-_Learn_how_to_code_in_Python/7_-_07._Adding_Variables.mp4 8.0 MB
1_-_Learn_how_to_code_in_Python/12_-_12._If_Statements.mp4 8.0 MB
1_-_Learn_how_to_code_in_Python/2_-_02._Introduction_to_the_course.mp4 7.6 MB
2_-_Learn_basic_design_in_Photoshop/20_-_02._Course_Requirements.mp4 7.5 MB
1_-_Learn_how_to_code_in_Python/18_-_18._Conclusion.mp4 6.1 MB
1_-_Learn_how_to_code_in_Python/4_-_04._Printing_variables_and_talking_about_compilers.mp4 6.1 MB
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9. Deploying Restful API into AWS EC2 Instance/1. Deploying.mp4 302.0 MB
5. Project Database as a Service Restful API/2. Building the Sentences API Part 2.mp4 278.7 MB
3. Docker/3. Dockerizing our First Application.mp4 244.0 MB
7. Project Building an Image Recognition Restful API using Tensorflow and Deeplear/4. Building an Image Classification API, Classification Function Part 4.mp4 241.4 MB
8. Project Building a Restful API to handle Bank Transactions/2. Building a Bank API, Part 2.mp4 215.7 MB
4. MongoDB/2. MongoDB Introduction.mp4 187.8 MB
5. Project Database as a Service Restful API/3. Building the Sentences API Part 3.mp4 180.7 MB
8. Project Building a Restful API to handle Bank Transactions/3. Building a Bank API, Part 3.mp4 176.8 MB
4. MongoDB/6. Query Documents in MongoDB.mp4 168.0 MB
2. Understanding and Implementing a Simple REST API/4. Project 1, Building Restful API Part 2.mp4 167.9 MB
4. MongoDB/5. Creating and Deleting Collections in MongoDB.mp4 163.9 MB
4. MongoDB/4. Creating and Deleting Databases.mp4 158.1 MB
2. Understanding and Implementing a Simple REST API/3. Project 1, Building Restful API Part 1.mp4 149.7 MB
4. MongoDB/7. Updating and Sorting and Limiting Documents in MongoDB.mp4 140.8 MB
4. MongoDB/8. Building a Simple Application to Keep Track of Number of Users.mp4 138.2 MB
1. Understanding the Basics of the Python Flask Framework and its Workflow/5. JSON, Examples of JSON, and JSON in Flask.mp4 135.0 MB
6. Project Building a Restful API for Similarity Check using Natural Language Proc/4. Building a Similarity API Detection of Similarity Part 4.mp4 133.6 MB
6. Project Building a Restful API for Similarity Check using Natural Language Proc/2. Building a Similarity API Docker-compose Structure Part 2.mp4 131.9 MB
7. Project Building an Image Recognition Restful API using Tensorflow and Deeplear/6. Building an Image Classification API Testing Part 6.mp4 110.0 MB
1. Understanding the Basics of the Python Flask Framework and its Workflow/4. Revisiting Hello World Program And Explaining GETs.mp4 105.0 MB
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Lesson 42. Home & About Page Dynamic Content.mp4 192.1 MB
Lesson 45. Search Form Filtering.mp4 192.0 MB
Lesson 43. Single Listing Page.mp4 170.0 MB
Lesson 41. Pagination, Order & Filter.mp4 169.0 MB
Lesson 62. Server Security.mp4 156.6 MB
Lesson 19. Project Resources & Requirements.mp4 152.7 MB
Lesson 44. Search Form Choices.mp4 150.7 MB
Lesson 66. Server Migrations & Data.mp4 147.8 MB
Lesson 64. Virtual Env & File Pull.mp4 141.5 MB
Lesson 52. Logout & Navbar Auth Links.mp4 136.6 MB
Lesson 36. Media Folder & Adding Data.mp4 131.3 MB
Lesson 28. Index, About & Linking.mp4 130.3 MB
Lesson 50. User Registration.mp4 122.3 MB
Lesson 29. Listings URLs & Template.mp4 117.8 MB
Lesson 58. Inquiry Check & Send Email.mp4 117.8 MB
Lesson 33. Create Listing Model.mp4 117.1 MB
Lesson 49. Message Alerts.mp4 116.9 MB
Lesson 63. Software & Database Setup.mp4 115.6 MB
Lesson 27. Bootstrap Layout Markup.mp4 115.5 MB
Lesson 67. Gunicorn Setup & Config.mp4 114.8 MB
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6. Module 5 Functions and Modules/1. m05_01 Python Functions.mp4 185.3 MB
7. Module 6 Miscellaneous Extra Stuff/1. m06_01 Python parsing data information.mp4 135.4 MB
1. Welcome and Introduction/2. How to run your Python code (m00_01).mp4 133.2 MB
6. Module 5 Functions and Modules/5. m05_lab_sol Lab Solution and Module Summary.mp4 124.2 MB
1. Welcome and Introduction/1. Introduction and overview (m00_00).mp4 119.4 MB
5. Module 4 Nested Data Structures, While Loops/5. m04_04 Python data structures nested.mp4 114.6 MB
7. Module 6 Miscellaneous Extra Stuff/2. m06_02 Python writing output to files.mp4 114.2 MB
6. Module 5 Functions and Modules/3. m05_03 Python modules.mp4 110.0 MB
4. Module 3 Formatted Output, Splitting Strings/4. m03_lab_sol Lab Solution and Module Review.mp4 102.8 MB
4. Module 3 Formatted Output, Splitting Strings/1. m03_01a Print formatted Data Part 1.mp4 100.5 MB
2. Module 1 Kick start your Python knowledge/1. m01_01 Strings, variables, numbers and ducks!.mp4 97.4 MB
5. Module 4 Nested Data Structures, While Loops/8. m04_lab_sol Lab Solution and Module Summary.mp4 80.0 MB
3. Module 2Lists, For Loop, Reading Files/1. m02_01a Lists, For Loops.mp4 78.8 MB
5. Module 4 Nested Data Structures, While Loops/6. m04_05 Python while loop with dictionary search.mp4 78.0 MB
5. Module 4 Nested Data Structures, While Loops/4. m04_03 Python data structures sorting.mp4 77.1 MB
2. Module 1 Kick start your Python knowledge/2. m01_02 Everything is an object in Python. Mutable and immutable.mp4 71.6 MB
6. Module 5 Functions and Modules/2. m05_02 Python function parameter types (positional, keyword, default).mp4 69.5 MB
5. Module 4 Nested Data Structures, While Loops/3. m04_02 Python data structures Dictionary.mp4 64.4 MB
5. Module 4 Nested Data Structures, While Loops/7. m04_lab Can you complete the lab.mp4 61.3 MB
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4. Project #2 - RPG Battle Script/17. Enemy artificial intelligence.mp4 82.3 MB
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4. Project #2 - RPG Battle Script/6. Turning our magic into a class.mp4 48.3 MB
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4. Project #2 - RPG Battle Script/11. Adding members to our party.mp4 43.8 MB
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6. Statistics for Data Science/5. Fitting the Model.mp4 81.3 MB
6. Statistics for Data Science/8. Co efficient and Intercept Value.mp4 78.3 MB
3. Basic Techniques/3. Summation of Elements.mp4 77.2 MB
6. Statistics for Data Science/7. Curve Fitting and Regression Fit Line.mp4 76.8 MB
6. Statistics for Data Science/4. Multiple Explanatory Variables.mp4 70.0 MB
6. Statistics for Data Science/6. Fitting the Model Continues.mp4 65.6 MB
2. Calculating Mode/3. Histogram Calculation.mp4 65.2 MB
3. Basic Techniques/1. Basic Reveration Techniques.mp4 62.3 MB
6. Statistics for Data Science/3. Output of the Variables.mp4 60.5 MB
5. Exclusive Events/2. Finding the Measurement.mp4 60.4 MB
3. Basic Techniques/2. Using Numphy Techniques.mp4 58.7 MB
4. Testing Method/3. Calculating the Denominator.mp4 58.1 MB
2. Calculating Mode/4. Correlation Function.mp4 57.6 MB
5. Exclusive Events/1. Using Exclusive Events.mp4 56.9 MB
5. Exclusive Events/3. Implementing Test Scenarios.mp4 55.8 MB
2. Calculating Mode/1. Calculating Mode.mp4 54.8 MB
4. Testing Method/1. Hypothetical Testing Method.mp4 54.5 MB
4. Testing Method/2. Differences in Numphy Package.mp4 49.9 MB
2. Calculating Mode/2. Calculating Dispersion Measures.mp4 44.8 MB
1. Introduction/1. Introduction to Data Science.mp4 44.0 MB
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Lesson 2 - Переменные и типы данных.mkv 689.9 MB
Lesson 1 - Введение в Python.mkv 553.5 MB
Lesson 6 - Функции 2.mkv 535.7 MB
Lesson 5 - Функции 1.mkv 473.2 MB
Lesson 4 - Циклические конструкции.mkv 464.3 MB
Lesson 3 - Условные конструкции.mkv 429.5 MB
Lesson 7 - Списки.mkv 274.0 MB
Python Starter/Lesson 1. Introduction to Python/001_Introduction to Python (Presentation).xps 1.4 MB
Python Starter/Lesson 3. Conditional Statements/003_ Conditional Statements (Presentation).xps 1.1 MB
Python Starter/Lesson 7. Lists/007_Lists (Presentation).xps 937.6 kB
Python Starter/Lesson 6. Functions/006_Functions 2 (Presentation).xps 930.6 kB
Python Starter/Lesson 2. Variables and Data Types/002_ Variables and Data Types (Presentation).xps 927.7 kB
Python Starter/Lesson 5. Functions/005_Functions 1 (Presentation).xps 905.8 kB
Python Starter/Lesson 4. Loop Statements/004_Loop Statements (Presentation).xps 883.0 kB
Python Starter/Lesson 3. Conditional Statements/003_Conditional Statements.xps 607.4 kB
Python Starter/Lesson 2. Variables and Data Types/002_Variables and Data Types.xps 551.6 kB
Python Starter/Lesson 1. Introduction to Python/001_Introduction to Python.xps 499.7 kB
Python Starter/Lesson 4. Loop Statements/004_Loop Statements.xps 436.6 kB
Python Starter/Описание курса Python Starter.xps 323.4 kB
Python Starter/Lesson 5. Functions/005_Functions 1.xps 323.1 kB
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21 Django Deployment/156 Full Deployment Walkthrough on Python Anywhere.mp4 92.4 MB
23 First Clone Project/167 Blog Clone Project Part Four.mp4 83.5 MB
23 First Clone Project/170 Blog Project Part Seven.mp4 81.4 MB
15 Python - Level Two/109 OOP Project Solutions.mp4 77.5 MB
24 Social Media Site Clone Project/181 Social Clone Part Seven.mp4 68.5 MB
20 Django Level Five/153 Logins.mp4 66.8 MB
17 Django Level Two/131 Django Level Two Project Solutions.mp4 65.3 MB
22 Advanced Topics - CBVs/162 CRUD Views.mp4 63.8 MB
24 Social Media Site Clone Project/183 Social Clone Part Nine.mp4 54.3 MB
22 Advanced Topics - CBVs/161 Detail View and List View Part Two.mp4 54.1 MB
24 Social Media Site Clone Project/184 Social Clone Part Ten.mp4 52.6 MB
24 Social Media Site Clone Project/186 Social Clone Part Twelve.mp4 51.9 MB
19 Django Level Four/140 Relative URLs Coding Examples.mp4 51.7 MB
23 First Clone Project/173 Blog Project Part Ten.mp4 51.5 MB
23 First Clone Project/168 Blog Project Part Five.mp4 50.4 MB
08 Bootstrap Overview/047 Bootstrap Project Solutions.mp4 49.1 MB
08 Bootstrap Overview/044 Bootstrap Part Three Navbars.mp4 48.4 MB
24 Social Media Site Clone Project/180 Social Clone Part Six.mp4 47.4 MB
24 Social Media Site Clone Project/177 Social Clone Part Three.mp4 46.8 MB
20 Django Level Five/147 Django Passwords.mp4 46.8 MB
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11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/3. Data cleaning project, Part II.mp4 251.9 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/2. Data cleaning project, Part I.mp4 128.8 MB
1. Getting Started/1. Installing Python and Python libraries.mp4 109.3 MB
8. Visualizing Data/2. More visualization techniques.mp4 74.9 MB
9. Mapping Spatial Data/2. Practice No, 8 Creating KML Google Earth fIles from CSV data.mp4 59.7 MB
2. Downloading Many Files with Python/7. Practice No.1 Creating an FTP File Downloader.mp4 57.6 MB
2. Downloading Many Files with Python/5. Downloading an FTP file.mp4 53.0 MB
7. Data Aggregation/1. Practice No. 6 Pivoting Large Amounts of Data.mp4 50.5 MB
3. Extracting Data from Archive Files/1. Extracting ZIP, TAR, GZ and other archive file formats.mp4 43.9 MB
6. Merging Data/4. Practice No. 5 Joining Data Based on a Matching Column.mp4 41.9 MB
10. Putting everything together/5. Practice No. 10 Polishing the Program, II.mp4 40.3 MB
6. Merging Data/1. Practical No.4 Concatenating multiple CSV files.mp4 40.2 MB
1. Getting Started/2. Python editors - Spyder and iPython.mp4 39.1 MB
10. Putting everything together/6. Practice No. 11 Creating Python Modules.mp4 35.7 MB
3. Extracting Data from Archive Files/3. Practice No.2 Creating a Batch Archive Extractor.mp4 33.8 MB
11. Bonus Section Using Python in Jupyter Notebooks to Boost Productivity/1. Getting started with Jupyter Notebooks.mp4 33.7 MB
10. Putting everything together/4. Practice No. 9 Polishing the Program, I.mp4 28.7 MB
4. Working with TXT and CSV Files/2. Reading delimited TXT and CSV files.mp4 28.5 MB
5. Getting Started with Pandas/2. Practice No.3 Calculating and Adding Columns to CSV Files.mp4 27.8 MB
5. Getting Started with Pandas/1. Get started with Pandas.mp4 26.7 MB
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3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 182.4 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 158.8 MB
7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4 147.2 MB
7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 142.5 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 142.4 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 139.2 MB
10. Feature detection/7. Full width at half-maximum.mp4 137.7 MB
10. Feature detection/2. Local maxima and minima.mp4 132.8 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 128.5 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 127.8 MB
5. Filtering/3. FIR filters with firls.mp4 125.7 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 122.5 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4 120.8 MB
11. Variability/5. Entropy.mp4 117.8 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 116.1 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 114.6 MB
10. Feature detection/3. Recover signal from noise amplitude.mp4 109.4 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 105.8 MB
6. Convolution/3. Convolution in MATLAB.mp4 105.6 MB
5. Filtering/7. Avoid edge effects with reflection.mp4 104.1 MB
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