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Various

文件列表
  1. Udemy - 30 Days of Python/10 Day 25 Web Scraping on Javascript Driven HTML/034 Part 1 Web Scraping on Javascript-Driven HTML using Python.mp4294.86MB
  2. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0101.The Course Overview.mp430.8MB
  3. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0102.Installing Anaconda Navigator on WindowsLinux.mp453.54MB
  4. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0103.Importing and Parsing CSV in Python.mp428.48MB
  5. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0104.Importing and Parsing JSON in Python.mp422.82MB
  6. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0105.Scraping Data from Public Web – Part 1.mp420.9MB
  7. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/01.Gathering and Parsing Data/0106.Scraping Data from Public Web – Part 2.mp449.36MB
  8. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/02.Working with Data from Excel and PDF Files/0201.Importing and Parsing Excel Files – Part 1.mp420.32MB
  9. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/02.Working with Data from Excel and PDF Files/0202.Importing and Parsing Excel Files – Part 2.mp4205.67MB
  10. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/02.Working with Data from Excel and PDF Files/0203.Manipulating PDF Files in Python – Part 1.mp4125.34MB
  11. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/02.Working with Data from Excel and PDF Files/0204.Manipulating PDF Files in Python – Part 2.mp4126.67MB
  12. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/03.Storing Data in Persistent Storage/0301.Difference between Relational and Non-Relational Databases.mp414.69MB
  13. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/03.Storing Data in Persistent Storage/0302.Storing Data in SQLite Databases.mp433.35MB
  14. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/03.Storing Data in Persistent Storage/0303.Storing Data in MongoDB.mp425.17MB
  15. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/03.Storing Data in Persistent Storage/0304.Storing Data in Elasticsearch.mp427.53MB
  16. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/03.Storing Data in Persistent Storage/0305.Comparative Study of Databases for Storage.mp45.02MB
  17. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0401.The Most Important Step in Data Analysis.mp411.88MB
  18. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0402.ViewingInspecting DataFrames.mp426MB
  19. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0403.RenamingAddingRemoving the DataFrame Columns.mp426.72MB
  20. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0404.Dropping Duplicate Rows.mp426.24MB
  21. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0405.Indexing DataFrame to Retrieve Specific Columns and Rows.mp428.16MB
  22. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0406.MergingConcatenatingJoining DataFrames.mp431.45MB
  23. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/04.Cleaning Structured Data/0407.Dealing with Missing Values.mp433.56MB
  24. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0501.Filtering and Sorting of DataFrame.mp425.93MB
  25. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0502.EncodingMapping Existing Values – Part 1.mp423.51MB
  26. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0503.EncodingMapping Existing Values – Part 2.mp418.85MB
  27. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0504.RescaleStandardize Column Values.mp429.42MB
  28. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0505.Common Cleaning Operations.mp427.8MB
  29. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/05.More Data Cleaning and Transformation/0506.Exporting Datasets for Future Use.mp422.07MB
  30. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/06.Performing Statistical Analysis/0601.Different Uses of Packages (Pandas, NumPy, SciPy, and Matplotlib).mp43.12MB
  31. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/06.Performing Statistical Analysis/0602.Types of Column NamesFeaturesAttributes in Structured Data.mp44.36MB
  32. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/06.Performing Statistical Analysis/0603.Split-Apply-Combine (Performing Group By Operation).mp424.38MB
  33. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/06.Performing Statistical Analysis/0604.Descriptive Statistics Using Python – Part 1.mp423MB
  34. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/06.Performing Statistical Analysis/0605.Descriptive Statistics Using Python – Part 2.mp422.35MB
  35. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/07.Let the Visualizations Tell the Story/0701.Using Visualizations.mp43.76MB
  36. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/07.Let the Visualizations Tell the Story/0702.Cool Visualization of Real-World Datasets of World Population Evolution.mp47.12MB
  37. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/07.Let the Visualizations Tell the Story/0703.Visualizations in Python – Part 1.mp426.3MB
  38. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/07.Let the Visualizations Tell the Story/0704.Visualizations in Python – Part 2.mp495.74MB
  39. [FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]/07.Let the Visualizations Tell the Story/0705.Exploring an Online Visualization Tool (RAWGraphs).mp436.73MB
  40. Packt Publishing - Deep Dive into Python Machine Learning/11 - Creating an Empty Package.mp411.59MB
  41. Packt Publishing - Deep Dive into Python Machine Learning/12 - Adding Modules to the Package.mp47.99MB
  42. Packt Publishing - Deep Dive into Python Machine Learning/13 - Importing One of the Package's Modules from Another.mp49.29MB
  43. Packt Publishing - Deep Dive into Python Machine Learning/14 - Adding Static Data Files to the Package.mp44.54MB
  44. Packt Publishing - Deep Dive into Python Machine Learning/15 - PEP 8 and Writing Readable Code.mp423.79MB
  45. Packt Publishing - Deep Dive into Python Machine Learning/16 - Using Version Control.mp416.75MB
  46. Packt Publishing - Deep Dive into Python Machine Learning/17 - Using venv to Create a Stable and Isolated Work Area.mp48.15MB
  47. Packt Publishing - Deep Dive into Python Machine Learning/18 - Getting the Most Out of docstrings 1 - PEP 257 and docutils.mp438.58MB
  48. Packt Publishing - Deep Dive into Python Machine Learning/19 - Getting the Most Out of docstrings 2 - doctest.mp47.42MB
  49. Packt Publishing - Deep Dive into Python Machine Learning/20 - Making a Package Executable via python -m.mp49.19MB
  50. Packt Publishing - Deep Dive into Python Machine Learning/21 - Handling Command-Line Arguments with argparse.mp412.23MB
  51. Packt Publishing - Deep Dive into Python Machine Learning/22 - Interacting with the User.mp48.64MB
  52. Packt Publishing - Deep Dive into Python Machine Learning/23 - Executing Other Programs with Subprocess.mp445.53MB
  53. Packt Publishing - Deep Dive into Python Machine Learning/24 - Using Shell Scripts or Batch Files to Run Our Programs.mp44.62MB
  54. Packt Publishing - Deep Dive into Python Machine Learning/25 - Using concurrent.futures.mp446.73MB
  55. Packt Publishing - Deep Dive into Python Machine Learning/26 - Using Multiprocessing.mp421.9MB
  56. Packt Publishing - Deep Dive into Python Machine Learning/27 - Understanding Why This Isn't Like Parallel Processing.mp417.4MB
  57. Packt Publishing - Deep Dive into Python Machine Learning/28 - Using the asyncio Event Loop and Coroutine Scheduler.mp413.35MB
  58. Packt Publishing - Deep Dive into Python Machine Learning/29 - Waiting for Data to Become Available.mp46.66MB
  59. Packt Publishing - Deep Dive into Python Machine Learning/30 - Synchronizing Multiple Tasks.mp413.32MB
  60. Packt Publishing - Deep Dive into Python Machine Learning/31 - Communicating Across the Network.mp411.34MB
  61. Packt Publishing - Deep Dive into Python Machine Learning/32 - Using Function Decorators.mp412.98MB
  62. Packt Publishing - Deep Dive into Python Machine Learning/33 - Function Annotations.mp413.61MB
  63. Packt Publishing - Deep Dive into Python Machine Learning/34 - Class Decorators.mp411.44MB
  64. Packt Publishing - Deep Dive into Python Machine Learning/35 - Metaclasses.mp49.83MB
  65. Packt Publishing - Deep Dive into Python Machine Learning/36 - Context Managers.mp411.35MB
  66. Packt Publishing - Deep Dive into Python Machine Learning/37 - Descriptors.mp419.63MB
  67. Packt Publishing - Deep Dive into Python Machine Learning/38 - Understanding the Principles of Unit Testing.mp48.5MB
  68. Packt Publishing - Deep Dive into Python Machine Learning/39 - Using the unittest Package.mp417.13MB
  69. Packt Publishing - Deep Dive into Python Machine Learning/40 - Using unittest.mock.mp410.55MB
  70. Packt Publishing - Deep Dive into Python Machine Learning/41 - Using unittest's Test Discovery.mp49.72MB
  71. Packt Publishing - Deep Dive into Python Machine Learning/42 - Using Nose for Unified Test Discover and Reporting.mp411MB
  72. Packt Publishing - Deep Dive into Python Machine Learning/43 - What Does Reactive Programming Mean.mp44.82MB
  73. Packt Publishing - Deep Dive into Python Machine Learning/44 - Building a Simple Reactive Programming Framework.mp414.64MB
  74. Packt Publishing - Deep Dive into Python Machine Learning/45 - Using the Reactive Extensions for Python (RxPY).mp433.64MB
  75. Packt Publishing - Deep Dive into Python Machine Learning/46 - Microservices and the Advantages of Process Isolation.mp48.2MB
  76. Packt Publishing - Deep Dive into Python Machine Learning/47 - Building a High-Level Microservice with Flask.mp424.79MB
  77. Packt Publishing - Deep Dive into Python Machine Learning/48 - Building a Low-Level Microservice with nameko.mp412.78MB
  78. Packt Publishing - Deep Dive into Python Machine Learning/49 - Advantages and Disadvantages of Compiled Code.mp410.42MB
  79. Packt Publishing - Deep Dive into Python Machine Learning/50 - Accessing a Dynamic Library Using ctypes.mp414.92MB
  80. Packt Publishing - Deep Dive into Python Machine Learning/51 - Interfacing with C Code Using Cython.mp427.33MB
  81. Packt Publishing - Deep Dive into Python Machine Learning/52 - The Course Overview.mp49.69MB
  82. Packt Publishing - Deep Dive into Python Machine Learning/53 - Brief Introduction to Data Mining.mp48.59MB
  83. Packt Publishing - Deep Dive into Python Machine Learning/54 - Data Mining Basic Concepts and Applications.mp414.24MB
  84. Packt Publishing - Deep Dive into Python Machine Learning/55 - Why Python.mp45.22MB
  85. Packt Publishing - Deep Dive into Python Machine Learning/56 - Basics of Python.mp49.58MB
  86. Packt Publishing - Deep Dive into Python Machine Learning/57 - Installing IPython.mp43.88MB
  87. Packt Publishing - Deep Dive into Python Machine Learning/58 - Installing the Numpy Library.mp48.8MB
  88. Packt Publishing - Deep Dive into Python Machine Learning/59 - Installing the pandas Library.mp414.97MB
  89. Packt Publishing - Deep Dive into Python Machine Learning/60 - Installing Matplotlib.mp411.96MB
  90. Packt Publishing - Deep Dive into Python Machine Learning/61 - Installing scikit-learn.mp43.75MB
  91. Packt Publishing - Deep Dive into Python Machine Learning/62 - Data Cleaning.mp49.19MB
  92. Packt Publishing - Deep Dive into Python Machine Learning/63 - Data Preprocessing Techniques.mp48.41MB
  93. Packt Publishing - Deep Dive into Python Machine Learning/64 - Linear Regression Basic Model Approach.mp414.03MB
  94. Packt Publishing - Deep Dive into Python Machine Learning/65 - Evaluating Regression Models.mp49.14MB
  95. Packt Publishing - Deep Dive into Python Machine Learning/66 - Basic Regression Model Implementation to Predict House Prices.mp435.83MB
  96. Packt Publishing - Deep Dive into Python Machine Learning/67 - Regression Model Implementation to Predict Television Show Viewers.mp440.35MB
  97. Packt Publishing - Deep Dive into Python Machine Learning/68 - Logistic Regression.mp46.92MB
  98. Packt Publishing - Deep Dive into Python Machine Learning/69 - K – Nearest Neighbors Classifier.mp48.89MB
  99. Packt Publishing - Deep Dive into Python Machine Learning/70 - Support Vector Machine.mp49.4MB
  100. Packt Publishing - Deep Dive into Python Machine Learning/71 - Logistic Regression Model Implementation.mp447.17MB
  101. Packt Publishing - Deep Dive into Python Machine Learning/72 - K – Nearest Neighbor Classifier Implementation.mp438.31MB
  102. Packt Publishing - Deep Dive into Python Machine Learning/73 - Preprocessing Data Using Different Techniques.mp426.46MB
  103. Packt Publishing - Deep Dive into Python Machine Learning/74 - Label Encoding.mp410.54MB
  104. Packt Publishing - Deep Dive into Python Machine Learning/75 - Building a Linear Regressor.mp419.66MB
  105. Packt Publishing - Deep Dive into Python Machine Learning/76 - Regression Accuracy and Model Persistence.mp417.5MB
  106. Packt Publishing - Deep Dive into Python Machine Learning/77 - Building a Ridge Regressor.mp412.3MB
  107. Packt Publishing - Deep Dive into Python Machine Learning/78 - Building a Polynomial Regressor.mp411.43MB
  108. Packt Publishing - Deep Dive into Python Machine Learning/79 - Estimating housing prices.mp416.9MB
  109. Packt Publishing - Deep Dive into Python Machine Learning/80 - Computing relative importance of features.mp47.58MB
  110. Packt Publishing - Deep Dive into Python Machine Learning/81 - Estimating bicycle demand distribution.mp417.97MB
  111. Packt Publishing - Deep Dive into Python Machine Learning/82 - Building a Simple Classifier.mp412.21MB
  112. Packt Publishing - Deep Dive into Python Machine Learning/83 - Building a Logistic Regression Classifier.mp420.2MB
  113. Packt Publishing - Deep Dive into Python Machine Learning/84 - Building a Naive Bayes’ Classifier.mp48.74MB
  114. Packt Publishing - Deep Dive into Python Machine Learning/85 - Splitting the Dataset for Training and Testing.mp46.14MB
  115. Packt Publishing - Deep Dive into Python Machine Learning/86 - Evaluating the Accuracy Using Cross-Validation.mp48.21MB
  116. Packt Publishing - Deep Dive into Python Machine Learning/87 - Visualizing the Confusion Matrix and Extracting the Performance Report.mp415.79MB
  117. Packt Publishing - Deep Dive into Python Machine Learning/88 - Evaluating Cars based on Their Characteristics.mp423.16MB
  118. Packt Publishing - Deep Dive into Python Machine Learning/89 - Extracting Validation Curves.mp414.08MB
  119. Packt Publishing - Deep Dive into Python Machine Learning/90 - Extracting Learning Curves.mp47.31MB
  120. Packt Publishing - Deep Dive into Python Machine Learning/91 - Extracting the Income Bracket.mp415.04MB
  121. Packt Publishing - Deep Dive into Python Machine Learning/92 - Building a Linear Classifier Using Support Vector Machine.mp420.2MB
  122. Packt Publishing - Deep Dive into Python Machine Learning/93 - Building Nonlinear Classifier Using SVMs.mp48MB
  123. Packt Publishing - Deep Dive into Python Machine Learning/94 - Tackling Class Imbalance.mp413.3MB
  124. Packt Publishing - Deep Dive into Python Machine Learning/95 - Extracting Confidence Measurements.mp412.01MB
  125. Packt Publishing - Deep Dive into Python Machine Learning/96 - Finding Optimal Hyper-Parameters.mp410.42MB
  126. Packt Publishing - Deep Dive into Python Machine Learning/97 - Building an Event Predictor.mp416.95MB
  127. Packt Publishing - Deep Dive into Python Machine Learning/98 - Estimating Traffic.mp410.82MB
  128. Packt Publishing - Deep Dive into Python Machine Learning/99 - Clustering Data Using the k-means Algorithm.mp413.45MB
  129. Packt Publishing - Deep Dive into Python Machine Learning/108 - Building Machine Learning Pipelines.mp415.17MB
  130. Packt Publishing - Deep Dive into Python Machine Learning/109 - Finding the Nearest Neighbors.mp48.05MB
  131. Packt Publishing - Deep Dive into Python Machine Learning/110 - Constructing a k-nearest Neighbors Classifier.mp419.77MB
  132. Packt Publishing - Deep Dive into Python Machine Learning/111 - Constructing a k-nearest Neighbors Regressor.mp49.75MB
  133. Packt Publishing - Deep Dive into Python Machine Learning/112 - Computing the Euclidean Distance Score.mp49.21MB
  134. Packt Publishing - Deep Dive into Python Machine Learning/113 - Computing the Pearson Correlation Score.mp48.32MB
  135. Packt Publishing - Deep Dive into Python Machine Learning/114 - Finding Similar Users in a Dataset.mp46.89MB
  136. Packt Publishing - Deep Dive into Python Machine Learning/115 - Generating Movie Recommendations.mp410.2MB
  137. Packt Publishing - Deep Dive into Python Machine Learning/116 - Preprocessing Data Using Tokenization.mp412.67MB
  138. Packt Publishing - Deep Dive into Python Machine Learning/117 - Stemming Text Data.mp48.77MB
  139. Packt Publishing - Deep Dive into Python Machine Learning/118 - Converting Text to Its Base Form Using Lemmatization.mp48.25MB
  140. Packt Publishing - Deep Dive into Python Machine Learning/119 - Dividing Text Using Chunking.mp47.42MB
  141. Packt Publishing - Deep Dive into Python Machine Learning/120 - Building a Bag-of-Words Model.mp411.71MB
  142. Packt Publishing - Deep Dive into Python Machine Learning/121 - Building a Text Classifier.mp417.97MB
  143. Packt Publishing - Deep Dive into Python Machine Learning/122 - Identifying the Gender.mp410MB
  144. Packt Publishing - Deep Dive into Python Machine Learning/123 - Analyzing the Sentiment of a Sentence.mp414.39MB
  145. Packt Publishing - Deep Dive into Python Machine Learning/124 - Identifying Patterns in Text Using Topic Modelling.mp419.76MB
  146. Packt Publishing - Deep Dive into Python Machine Learning/125 - Reading and Plotting Audio Data.mp49.35MB
  147. Packt Publishing - Deep Dive into Python Machine Learning/126 - Transforming Audio Signals into the Frequency Domain.mp49.32MB
  148. Packt Publishing - Deep Dive into Python Machine Learning/127 - Generating Audio Signals with Custom Parameters.mp47.64MB
  149. Packt Publishing - Deep Dive into Python Machine Learning/128 - Synthesizing Music.mp49.81MB
  150. Packt Publishing - Deep Dive into Python Machine Learning/129 - Extracting Frequency Domain Features.mp48.13MB
  151. Packt Publishing - Deep Dive into Python Machine Learning/130 - Building Hidden Markov Models.mp49.6MB
  152. Packt Publishing - Deep Dive into Python Machine Learning/131 - Building a Speech Recognizer.mp412.94MB
  153. Packt Publishing - Deep Dive into Python Machine Learning/132 - Transforming Data into the Time Series Format.mp413.23MB
  154. Packt Publishing - Deep Dive into Python Machine Learning/133 - Slicing Time Series Data.mp45.32MB
  155. Packt Publishing - Deep Dive into Python Machine Learning/134 - Operating on Time Series Data.mp46.79MB
  156. Packt Publishing - Deep Dive into Python Machine Learning/135 - Extracting Statistics from Time Series.mp410.76MB
  157. Packt Publishing - Deep Dive into Python Machine Learning/136 - Building Hidden Markov Models for Sequential Data.mp417.7MB
  158. Packt Publishing - Deep Dive into Python Machine Learning/137 - Building Conditional Random Fields for Sequential Text Data.mp419.05MB
  159. Packt Publishing - Deep Dive into Python Machine Learning/138 - Analyzing Stock Market Data with Hidden Markov Models.mp411.84MB
  160. Packt Publishing - Deep Dive into Python Machine Learning/139 - Operating on Images Using OpenCV-Python.mp416.06MB
  161. Packt Publishing - Deep Dive into Python Machine Learning/140 - Detecting Edges.mp413.63MB
  162. Packt Publishing - Deep Dive into Python Machine Learning/141 - Histogram Equalization.mp411.46MB
  163. Packt Publishing - Deep Dive into Python Machine Learning/142 - Detecting Corners and SIFT Feature Points.mp416.86MB
  164. Packt Publishing - Deep Dive into Python Machine Learning/143 - Building a Star Feature Detector.mp47.35MB
  165. Packt Publishing - Deep Dive into Python Machine Learning/144 - Creating Features Using Visual Codebook and Vector Quantization.mp419.96MB
  166. Packt Publishing - Deep Dive into Python Machine Learning/145 - Training an Image Classifier Using Extremely Random Forests.mp411.41MB
  167. Packt Publishing - Deep Dive into Python Machine Learning/146 - Building an object recognizer.mp47.72MB
  168. Packt Publishing - Deep Dive into Python Machine Learning/147 - Capturing and Processing Video from a Webcam.mp46.95MB
  169. Packt Publishing - Deep Dive into Python Machine Learning/148 - Building a Face Detector using Haar Cascades.mp411.01MB
  170. Packt Publishing - Deep Dive into Python Machine Learning/149 - Building Eye and Nose Detectors.mp48.23MB
  171. Packt Publishing - Deep Dive into Python Machine Learning/150 - Performing Principal Component Analysis.mp47.98MB
  172. Packt Publishing - Deep Dive into Python Machine Learning/151 - Performing Kernel Principal Component Analysis.mp48.42MB
  173. Packt Publishing - Deep Dive into Python Machine Learning/152 - Performing Blind Source Separation.mp410.05MB
  174. Packt Publishing - Deep Dive into Python Machine Learning/153 - Building a Face Recognizer Using a Local Binary Patterns Histogram.mp420.53MB
  175. Packt Publishing - Deep Dive into Python Machine Learning/154 - Building a Perceptron.mp49.19MB
  176. Packt Publishing - Deep Dive into Python Machine Learning/155 - Building a Single-Layer Neural Network.mp45.93MB
  177. Packt Publishing - Deep Dive into Python Machine Learning/156 - Building a deep neural network.mp49.15MB
  178. Packt Publishing - Deep Dive into Python Machine Learning/157 - Creating a Vector Quantizer.mp48.36MB
  179. Packt Publishing - Deep Dive into Python Machine Learning/158 - Building a Recurrent Neural Network for Sequential Data Analysis.mp410.18MB
  180. Packt Publishing - Deep Dive into Python Machine Learning/159 - Visualizing the Characters in an Optical Character Recognition Database.mp45.17MB
  181. Packt Publishing - Deep Dive into Python Machine Learning/160 - Building an Optical Character Recognizer Using Neural Networks.mp410.37MB
  182. Packt Publishing - Deep Dive into Python Machine Learning/161 - Plotting 3D Scatter plots.mp48.03MB
  183. Packt Publishing - Deep Dive into Python Machine Learning/162 - Plotting Bubble Plots.mp43.66MB
  184. Packt Publishing - Deep Dive into Python Machine Learning/163 - Animating Bubble Plots.mp49.43MB
  185. Packt Publishing - Deep Dive into Python Machine Learning/164 - Drawing Pie Charts.mp45.57MB
  186. Packt Publishing - Deep Dive into Python Machine Learning/165 - Plotting Date-Formatted Time Series Data.mp45.96MB
  187. Packt Publishing - Deep Dive into Python Machine Learning/166 - Plotting Histograms.mp43.67MB
  188. Packt Publishing - Deep Dive into Python Machine Learning/167 - Visualizing Heat Maps.mp44MB
  189. Packt Publishing - Deep Dive into Python Machine Learning/168 - Animating Dynamic Signals.mp46.79MB
  190. Packt Publishing - Deep Dive into Python Machine Learning/169 - The Course Overview.mp417.84MB
  191. Packt Publishing - Deep Dive into Python Machine Learning/170 - What Is Deep Learning.mp47.37MB
  192. Packt Publishing - Deep Dive into Python Machine Learning/171 - Open Source Libraries for Deep Learning.mp421.33MB
  193. Packt Publishing - Deep Dive into Python Machine Learning/172 - Deep Learning Hello World! Classifying the MNIST Data.mp434.69MB
  194. Packt Publishing - Deep Dive into Python Machine Learning/173 - Introduction to Backpropagation.mp49.32MB
  195. Packt Publishing - Deep Dive into Python Machine Learning/174 - Understanding Deep Learning with Theano.mp419.26MB
  196. Packt Publishing - Deep Dive into Python Machine Learning/175 - Optimizing a Simple Model in Pure Theano.mp433.58MB
  197. Packt Publishing - Deep Dive into Python Machine Learning/176 - Keras Behind the Scenes.mp424.43MB
  198. Packt Publishing - Deep Dive into Python Machine Learning/177 - Fully Connected or Dense Layers.mp421.89MB
  199. Packt Publishing - Deep Dive into Python Machine Learning/178 - Convolutional and Pooling Layers.mp425.35MB
  200. Packt Publishing - Deep Dive into Python Machine Learning/179 - Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp420.32MB
  201. Packt Publishing - Deep Dive into Python Machine Learning/180 - Loading Pre-trained Models with Theano.mp423.52MB
  202. Packt Publishing - Deep Dive into Python Machine Learning/181 - Reusing Pre-trained Models in New Applications.mp431.83MB
  203. Packt Publishing - Deep Dive into Python Machine Learning/182 - Theano for Loops – the scan Module.mp419.47MB
  204. Packt Publishing - Deep Dive into Python Machine Learning/183 - Recurrent Layers.mp424.84MB
  205. Packt Publishing - Deep Dive into Python Machine Learning/184 - Recurrent Versus Convolutional Layers.mp46.58MB
  206. Packt Publishing - Deep Dive into Python Machine Learning/185 - Recurrent Networks –Training a Sentiment Analysis Model for Text.mp429.72MB
  207. Packt Publishing - Deep Dive into Python Machine Learning/186 - Bonus Challenge – Automatic Image Captioning.mp421.25MB
  208. Packt Publishing - Deep Dive into Python Machine Learning/187 - Captioning TensorFlow – Google's Machine Learning Library.mp421.61MB
  209. Python Epiphanies - O'Reilly (2015)/01 Introduction to Python Epiphanies/0101 Introduction to Python Epiphanies.flv7.28MB
  210. Python Epiphanies - O'Reilly (2015)/02 Objects/0201 Back to Basics - Objects.flv136.29MB
  211. Python Epiphanies - O'Reilly (2015)/02 Objects/0202 Exercises - Objects.flv24.4MB
  212. Python Epiphanies - O'Reilly (2015)/03 Names/0301 Back to Basics - Names.flv109.2MB
  213. Python Epiphanies - O'Reilly (2015)/03 Names/0302 Exercises - Names.flv47.39MB
  214. Python Epiphanies - O'Reilly (2015)/04 More About Namespaces/0401 Namespaces Scope and Search Order.flv98.63MB
  215. Python Epiphanies - O'Reilly (2015)/04 More About Namespaces/0402 Namespaces- Function Locals.flv86.1MB
  216. Python Epiphanies - O'Reilly (2015)/04 More About Namespaces/0403 The Built-ins Namespace.flv59.31MB
  217. Python Epiphanies - O'Reilly (2015)/04 More About Namespaces/0404 Exercises - The Built-ins Namespace.flv21.87MB
  218. Python Epiphanies - O'Reilly (2015)/05 Import/0501 The import Statement.flv81.68MB
  219. Python Epiphanies - O'Reilly (2015)/05 Import/0502 Exercises - The import Statement.flv50.57MB
  220. Python Epiphanies - O'Reilly (2015)/06 Functions/0601 Functions.flv93.68MB
  221. Python Epiphanies - O'Reilly (2015)/06 Functions/0602 Exercises - Functions.flv41.72MB
  222. Python Epiphanies - O'Reilly (2015)/06 Functions/0603 Augmented Assignment Statements.flv110.95MB
  223. Python Epiphanies - O'Reilly (2015)/06 Functions/0604 Function Arguments are Passed by Assignment.flv50.31MB
  224. Python Epiphanies - O'Reilly (2015)/07 Decorators/0701 Decorators Simplified.flv148.15MB
  225. Python Epiphanies - O'Reilly (2015)/07 Decorators/0702 Exercises - Decorators.flv44.25MB
  226. Python Epiphanies - O'Reilly (2015)/08 How Classes Work/0801 Decontructing the Class Statement.flv227.41MB
  227. Python Epiphanies - O'Reilly (2015)/08 How Classes Work/0802 Creating Classes with the type Function.flv79.78MB
  228. Python Epiphanies - O'Reilly (2015)/08 How Classes Work/0803 Exercises - The Class Statement.flv48.54MB
  229. Python Epiphanies - O'Reilly (2015)/08 How Classes Work/0804 Class Decorator Example.flv29.09MB
  230. Python Epiphanies - O'Reilly (2015)/09 Special Methods/0901 Special Methods of Classes.flv91.42MB
  231. Python Epiphanies - O'Reilly (2015)/09 Special Methods/0902 Exercises - Special Methods of Classes.flv27.78MB
  232. Python Epiphanies - O'Reilly (2015)/10 Iterators and Generators/1001 Iterables, Iterators, and the Iterator Protocol.flv56.42MB
  233. Python Epiphanies - O'Reilly (2015)/10 Iterators and Generators/1002 Exercises - Iterables, Iterators, and the Iterator Protocol.flv17.09MB
  234. Python Epiphanies - O'Reilly (2015)/10 Iterators and Generators/1003 Generator Functions.flv57.32MB
  235. Python Epiphanies - O'Reilly (2015)/10 Iterators and Generators/1004 Exercises - Generator Functions.flv34.9MB
  236. Python Epiphanies - O'Reilly (2015)/11 Taking Advantage of First Class Objects/1101 First Class Objects.flv99.36MB
  237. Python Epiphanies - O'Reilly (2015)/11 Taking Advantage of First Class Objects/1102 Binding Data with Functions.flv70.44MB
  238. Python Epiphanies - O'Reilly (2015)/11 Taking Advantage of First Class Objects/1103 Exercises - Binding Data with Functions.flv49.17MB
  239. Python Fundamentals/01.Introduction to the Python Fundamentals course/01.Introduction.wmv967.75KB
  240. Python Fundamentals/01.Introduction to the Python Fundamentals course/02.Python Promo.wmv3.73MB
  241. Python Fundamentals/01.Introduction to the Python Fundamentals course/03.Course Structure.wmv3.66MB
  242. Python Fundamentals/01.Introduction to the Python Fundamentals course/04.Python Overview, part 1.wmv8.15MB
  243. Python Fundamentals/01.Introduction to the Python Fundamentals course/05.Python Overview, part 2.wmv10.18MB
  244. Python Fundamentals/02.Getting Starting with Python 3/01.Introduction.wmv2.99MB
  245. Python Fundamentals/02.Getting Starting with Python 3/02.Intalling Python 3 on Windows.wmv11.1MB
  246. Python Fundamentals/02.Getting Starting with Python 3/03.Installing Python 3 on Linux.wmv2.47MB
  247. Python Fundamentals/02.Getting Starting with Python 3/04.Installing Python 3 on Mac OS X.wmv4.36MB
  248. Python Fundamentals/02.Getting Starting with Python 3/05.The Read-Eval-Print-Loop or REPL.wmv5.28MB
  249. Python Fundamentals/02.Getting Starting with Python 3/06.Significant Whitespace in Python.wmv6.15MB
  250. Python Fundamentals/02.Getting Starting with Python 3/07.Python Culture and the Zen of Python.wmv6.51MB
  251. Python Fundamentals/02.Getting Starting with Python 3/08.Importing from the Python Standard Library.wmv11.27MB
  252. Python Fundamentals/02.Getting Starting with Python 3/09.Scalar Types - int, float, None and bool.wmv7.66MB
  253. Python Fundamentals/02.Getting Starting with Python 3/10.Relational Operators.wmv2.24MB
  254. Python Fundamentals/02.Getting Starting with Python 3/11.Conditional Statements.wmv4.72MB
  255. Python Fundamentals/02.Getting Starting with Python 3/12.While Loops.wmv6.71MB
  256. Python Fundamentals/02.Getting Starting with Python 3/13.Summary.wmv6.3MB
  257. Python Fundamentals/03.Strings and Collections/01.Introduction.wmv1.38MB
  258. Python Fundamentals/03.Strings and Collections/02.Strings.wmv1.49MB
  259. Python Fundamentals/03.Strings and Collections/03.Moment of Zen - Practicality beats purity.wmv791.8KB
  260. Python Fundamentals/03.Strings and Collections/04.Strings (continued).wmv7.06MB
  261. Python Fundamentals/03.Strings and Collections/05.Bytes.wmv2.74MB
  262. Python Fundamentals/03.Strings and Collections/06.Lists.wmv2.27MB
  263. Python Fundamentals/03.Strings and Collections/07.Dictionaries.wmv1.47MB
  264. Python Fundamentals/03.Strings and Collections/08.For-loops.wmv1.64MB
  265. Python Fundamentals/03.Strings and Collections/09.Putting it all together.wmv7.14MB
  266. Python Fundamentals/03.Strings and Collections/10.Summary.wmv4.46MB
  267. Python Fundamentals/04.Modularity/01.Introduction.wmv3.13MB
  268. Python Fundamentals/04.Modularity/02.Creating, Running and Importing a Module.wmv3.42MB
  269. Python Fundamentals/04.Modularity/03.Defining Functions and Returning Values.wmv1.51MB
  270. Python Fundamentals/04.Modularity/04.Distinguishing Between Module Import and Module Execution.wmv5.71MB
  271. Python Fundamentals/04.Modularity/05.The Python Execution Model.wmv4.37MB
  272. Python Fundamentals/04.Modularity/06.Main Functions and Command Line Arguments.wmv9.86MB
  273. Python Fundamentals/04.Modularity/07.Sparse is Better than Dense.wmv1.46MB
  274. Python Fundamentals/04.Modularity/08.Documenting Your Code Using Docstrings.wmv6.27MB
  275. Python Fundamentals/04.Modularity/09.Documenting Your Code With Comments.wmv2.72MB
  276. Python Fundamentals/04.Modularity/10.The Whole Shebang.wmv5.33MB
  277. Python Fundamentals/04.Modularity/11.Summary.wmv5.81MB
  278. Python Fundamentals/05.Objects/01.Introduction.wmv7.05MB
  279. Python Fundamentals/05.Objects/02.Argument passing.wmv4.67MB
  280. Python Fundamentals/05.Objects/03.Function arguments in detail.wmv6.47MB
  281. Python Fundamentals/05.Objects/04.Python's type system.wmv2.26MB
  282. Python Fundamentals/05.Objects/05.Variable scoping.wmv6.41MB
  283. Python Fundamentals/05.Objects/06.Moment of Zen.wmv838.75KB
  284. Python Fundamentals/05.Objects/07.Everything is an object.wmv2.46MB
  285. Python Fundamentals/05.Objects/08.Summary.wmv4.99MB
  286. Python Fundamentals/06.Collections/01.Introduction.wmv2MB
  287. Python Fundamentals/06.Collections/02.Tuple.wmv5.63MB
  288. Python Fundamentals/06.Collections/03.String.wmv10.36MB
  289. Python Fundamentals/06.Collections/04.Range.wmv4.8MB
  290. Python Fundamentals/06.Collections/05.List.wmv6.36MB
  291. Python Fundamentals/06.Collections/06.Shallow copies.wmv5.13MB
  292. Python Fundamentals/06.Collections/07.List repetition.wmv3.02MB
  293. Python Fundamentals/06.Collections/08.More on list.wmv3.4MB
  294. Python Fundamentals/06.Collections/09.Growing lists.wmv659.68KB
  295. Python Fundamentals/06.Collections/10.Reversing and sorting lists.wmv4.57MB
  296. Python Fundamentals/06.Collections/11.Dictionary.wmv10.98MB
  297. Python Fundamentals/06.Collections/12.Set.wmv10.89MB
  298. Python Fundamentals/06.Collections/13.Collection protocols.wmv4.18MB
  299. Python Fundamentals/06.Collections/14.Summary.wmv6.46MB
  300. Python Fundamentals/7-python-fundamentals-m06-exceptions-exercise-files/demos/roots.py443B
  301. Python Fundamentals/07.Handling exceptions/01.Introduction.wmv2.28MB
  302. Python Fundamentals/07.Handling exceptions/02.Exceptions and control flow.wmv1.72MB
  303. Python Fundamentals/07.Handling exceptions/03.Handling exceptions.wmv3.22MB
  304. Python Fundamentals/07.Handling exceptions/04.Programmer errors.wmv3.26MB
  305. Python Fundamentals/07.Handling exceptions/05.Imprudent error codes.wmv1.46MB
  306. Python Fundamentals/07.Handling exceptions/06.Re-raising exceptions.wmv909.08KB
  307. Python Fundamentals/07.Handling exceptions/07.Exceptions as APIs.wmv5.48MB
  308. Python Fundamentals/07.Handling exceptions/08.Exceptions, APIs, and protocols.wmv2.59MB
  309. Python Fundamentals/07.Handling exceptions/09.Do not guard against type errors.wmv1.56MB
  310. Python Fundamentals/07.Handling exceptions/10.EAFP vs. LBYL.wmv4.44MB
  311. Python Fundamentals/07.Handling exceptions/11.Clean-up actions.wmv2.42MB
  312. Python Fundamentals/07.Handling exceptions/12.Moment of Zen.wmv410.26KB
  313. Python Fundamentals/07.Handling exceptions/13.Platform-specific code.wmv4.24MB
  314. Python Fundamentals/07.Handling exceptions/14.Summary.wmv4.39MB
  315. Python Fundamentals/08.Iterables/01.Introduction.wmv477.76KB
  316. Python Fundamentals/08.Iterables/02.List comprehensions.wmv2.99MB
  317. Python Fundamentals/08.Iterables/03.Set comprehensions.wmv785.84KB
  318. Python Fundamentals/08.Iterables/04.Dictionary comprehensions.wmv3.46MB
  319. Python Fundamentals/08.Iterables/05.Filtering predicates.wmv2.12MB
  320. Python Fundamentals/08.Iterables/06.Moment of Zen.wmv1.76MB
  321. Python Fundamentals/08.Iterables/07.Iteration protocols.wmv4.64MB
  322. Python Fundamentals/08.Iterables/08.Generators.wmv7.38MB
  323. Python Fundamentals/08.Iterables/09.Stateful generator functions.wmv14.02MB
  324. Python Fundamentals/08.Iterables/10.Laziness and the infinite.wmv32.72MB
  325. Python Fundamentals/08.Iterables/11.Generator .wmv7.05MB
  326. Python Fundamentals/08.Iterables/12.Batteries included for iteration.wmv9.52MB
  327. Python Fundamentals/08.Iterables/13.Summary.wmv4.94MB
  328. Python Fundamentals/09.Classes/01.Introduction.wmv2.1MB
  329. Python Fundamentals/09.Classes/02.Defining classes.wmv2.46MB
  330. Python Fundamentals/09.Classes/03.Instance methods.wmv1.48MB
  331. Python Fundamentals/09.Classes/04.Initializers.wmv7.08MB
  332. Python Fundamentals/09.Classes/05.A second class.wmv2.75MB
  333. Python Fundamentals/09.Classes/06.Collaborating classes.wmv1.48MB
  334. Python Fundamentals/09.Classes/07.Moment of Zen.wmv780.08KB
  335. Python Fundamentals/09.Classes/08.Example - Booking seats.wmv8.29MB
  336. Python Fundamentals/09.Classes/09.Defining implementation details.wmv6.57MB
  337. Python Fundamentals/09.Classes/10.OO with function objects.wmv4.1MB
  338. Python Fundamentals/09.Classes/11.Polymorphism and duck typing.wmv4.28MB
  339. Python Fundamentals/09.Classes/12.Inheritance and implementation sharing.wmv5.8MB
  340. Python Fundamentals/09.Classes/13.Summary.wmv6.08MB
  341. Python Fundamentals/10.Files and Resource Management/01.Introduction.wmv4.09MB
  342. Python Fundamentals/10.Files and Resource Management/02.Writing text files.wmv5.47MB
  343. Python Fundamentals/10.Files and Resource Management/03.Reading text files.wmv3.95MB
  344. Python Fundamentals/10.Files and Resource Management/04.Appending to text iles.wmv1.24MB
  345. Python Fundamentals/10.Files and Resource Management/05.Files as Iterators.wmv2.89MB
  346. Python Fundamentals/10.Files and Resource Management/06.Managing files with try..finally.wmv6.48MB
  347. Python Fundamentals/10.Files and Resource Management/07.Context managers and with-blocks.wmv3.14MB
  348. Python Fundamentals/10.Files and Resource Management/08.Simple is better than complex.wmv824KB
  349. Python Fundamentals/10.Files and Resource Management/09.Writing binary files.wmv11.86MB
  350. Python Fundamentals/10.Files and Resource Management/10.Bitwise operators.wmv2.22MB
  351. Python Fundamentals/10.Files and Resource Management/11.Fractal images.wmv5.45MB
  352. Python Fundamentals/10.Files and Resource Management/12.Reading binary files.wmv4.32MB
  353. Python Fundamentals/10.Files and Resource Management/13.File like objects.wmv3.21MB
  354. Python Fundamentals/10.Files and Resource Management/14.Closing with context managers.wmv5.62MB
  355. Python Fundamentals/10.Files and Resource Management/15.Summary.wmv4.46MB
  356. Python Fundamentals/11.Shipping working and maintainable code/01.Introduction and unittest.wmv22.53MB
  357. Python Fundamentals/11.Shipping working and maintainable code/02.Debugging with PDB.wmv16.02MB
  358. Python Fundamentals/11.Shipping working and maintainable code/03.Virtual environments.wmv1.89MB
  359. Python Fundamentals/11.Shipping working and maintainable code/04.Distributing your programs.wmv8.11MB
  360. Python Fundamentals/11.Shipping working and maintainable code/05.Installing third-party modules.wmv9.03MB
  361. Python Fundamentals/11.Shipping working and maintainable code/06.Moment of Zen.wmv797.6KB
  362. Python Fundamentals/11.Shipping working and maintainable code/07.Summary.wmv9.03MB
  363. Udemy - 30 Days of Python/01 Welcome/001 Welcome.mp471.38MB
  364. Udemy - 30 Days of Python/01 Welcome/002 Getting Help.mp426.1MB
  365. Udemy - 30 Days of Python/01 Welcome/003 YouTube Suggestions.mp411.75MB
  366. Udemy - 30 Days of Python/02 Days 1 Basics/004 Setup Strings Variables and Integers.mp4128.9MB
  367. Udemy - 30 Days of Python/03 Day 2 3 Lists Dictionaries Tuples and Loops/005 Day 2 - Lists.mp476.92MB
  368. Udemy - 30 Days of Python/03 Day 2 3 Lists Dictionaries Tuples and Loops/006 Day 2 cont - Dictionaries Tuples.mp485.78MB
  369. Udemy - 30 Days of Python/03 Day 2 3 Lists Dictionaries Tuples and Loops/007 Day 3 - Loops For Loops and While Loops.mp4173.7MB
  370. Udemy - 30 Days of Python/04 Day 4 Conditionals/008 Day 4 Conditionals.mp499.49MB
  371. Udemy - 30 Days of Python/04 Day 4 Conditionals/009 Day 4 cont Using Conditional Expressions.mp483.72MB
  372. Udemy - 30 Days of Python/05 Day 5 Functions/010 Functions Part 1.mp4101MB
  373. Udemy - 30 Days of Python/05 Day 5 Functions/011 Functions Part 2.mp449.38MB
  374. Udemy - 30 Days of Python/06 Day 6 Advanced Strings/012 Day 6 - String Substitution.mp433.89MB
  375. Udemy - 30 Days of Python/06 Day 6 Advanced Strings/013 Day 6 - String Formatting and Substitutions All Together.mp429.37MB
  376. Udemy - 30 Days of Python/07 Days 7-9 Classes/014 Day 7 Classes.mp490.44MB
  377. Udemy - 30 Days of Python/07 Days 7-9 Classes/015 Day 8 - Classes Part 2.mp432.1MB
  378. Udemy - 30 Days of Python/07 Days 7-9 Classes/016 Day 9 Classes Part 3.mp474.63MB
  379. Udemy - 30 Days of Python/07 Days 7-9 Classes/017 Class Part 4.mp448.73MB
  380. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/018 Day 10 Setup Python to send Email with Gmail.mp454.25MB
  381. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/019 Day 11 HTML and Plain Text Emails through Python and Gmail.mp438.22MB
  382. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/020 Day 12 - Send Formatted Emails to a Set of Users.mp450.17MB
  383. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/021 Day 13 - Using External Template Files with Context Data in Python.mp446.41MB
  384. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/022 Day 14 - CSV Files with Python - Read Write Append.mp451.35MB
  385. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/023 Day 15 - Functions to Dynamically Add Data to CSV with Python.mp432.71MB
  386. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/024 Day 16 - Edit CSV with Python Part 1.mp420.17MB
  387. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/025 Day 16 - Edit CSV with Python Part 2.mp442.48MB
  388. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/026 Day 17 - Read Data Function for CSV File.mp425.12MB
  389. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/027 Day 18 - Running Python Commands Arguments in Terminal.mp456.84MB
  390. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/028 Day 19 - Integrating Part 1.mp438.16MB
  391. Udemy - 30 Days of Python/08 Days 10 - 15 Python CSV and Email Do something Real/029 Day 20 - Integrating Part 2.mp478.34MB
  392. Udemy - 30 Days of Python/09 Days 21 - 24 Web Scraping with Python 3 Python Requests BeautifulSoup/030 Day 21 - Web Scraping with Python 3 Python Requests BeautifulSoup.mp486.56MB
  393. Udemy - 30 Days of Python/09 Days 21 - 24 Web Scraping with Python 3 Python Requests BeautifulSoup/031 Day 22 - Web Scraping Part 2.mp475.37MB
  394. Udemy - 30 Days of Python/09 Days 21 - 24 Web Scraping with Python 3 Python Requests BeautifulSoup/032 Day 23 - Web Scraping Part 3.mp436.81MB
  395. Udemy - 30 Days of Python/09 Days 21 - 24 Web Scraping with Python 3 Python Requests BeautifulSoup/033 Day 24 - Web Scraping Part 4.mp476.67MB
  396. Udemy - 30 Days of Python/10 Day 25 Web Scraping on Javascript Driven HTML/035 Part 2 Web Scraping on Javascript-Driven HTML using Python.mp482.11MB
  397. Udemy - 30 Days of Python/11 Day 26 Get Data with an API/036 Part 1 Get Data with an API.mp431.15MB
  398. Udemy - 30 Days of Python/11 Day 26 Get Data with an API/037 Part 2 Get Data with an API.mp466.54MB
  399. Udemy - 30 Days of Python/12 Day 27 - 28 Text Messaging SMSMMS with Python Twilio/038 Day 27 - Sending SMS Messages with Python Twilio Part 1.mp422.28MB
  400. Udemy - 30 Days of Python/12 Day 27 - 28 Text Messaging SMSMMS with Python Twilio/039 Day 27 - Part 2 - SMS Messages with Python Twilio.mp474.13MB
  401. Udemy - 30 Days of Python/12 Day 27 - 28 Text Messaging SMSMMS with Python Twilio/040 Day 28 - Twilio Python Client SMS.mp455.92MB
  402. Udemy - 30 Days of Python/13 Day 29 Twitter API Python/041 Day 29 Twitter API with Python python-twitter.mp461.43MB
  403. Udemy - 30 Days of Python/14 Day 30 Read Email Inbox using Python Gmail/042 Day 30 - Login with IMAP.mp48.99MB
  404. Udemy - 30 Days of Python/14 Day 30 Read Email Inbox using Python Gmail/043 Day 30 - Fetch Convert Email.mp448.24MB
  405. Udemy - 30 Days of Python/14 Day 30 Read Email Inbox using Python Gmail/044 Day 30 - Save Emails Locally.mp473.24MB
  406. Udemy - 30 Days of Python/15 Thank you Next Steps/045 Thank you and Next Steps.mp475.77MB
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