UDEMY Python In Practice 15 Projects to Master Python BOOKWARE-iLEARN

iLEARN
source: https://www.udemy.com/course/full-python-programming/
looking for locations in:
10 GBit .SE
10 GBit .NO
and other european locations

28M	10. Numbers in Python.mp4
109M	100. Creating files in PyCharm.mp4
108M	101. Editing the themes & color schemes.mp4
61M	103. Keymapping shortcuts.mp4
83M	104. Executing Python programs.mp4
23M	105. GUI Introduction.mp4
108M	106. Creating GUI application Tk( ) windows and widgets.mp4
77M	107. Creating Button widgets.mp4
118M	108. Getting input from the user using entry field widgets.mp4
192M	109. Using Grid system to place widgets.mp4
22M	11. Numeric Functions.mp4
58M	110. Button states.mp4
122M	111. Customizing colors and fonts.mp4
80M	113. Adding color theme to your applications.mp4
131M	114. Stylizing the appearance of the widgets (relief).mp4
196M	116. Creating Checkbox widgets.mp4
145M	117. Creating Radio Button widgets.mp4
177M	118. Creating Slider widgets.mp4
88M	119. Creating Dropdown Menu widgets.mp4
26M	12. Python Booleans.mp4
39M	120. Adding more windows on top of our existing main window.mp4
91M	121. Working with Images.mp4
169M	122. File dialog boxes for application.mp4
120M	123. Dice Roller.mp4
317M	125. Age Calculator (Total days & second lived).mp4
244M	126. Length Converter application.mp4
342M	127. Image to Icon converter.mp4
58M	129. Data Science with Python.mp4
27M	13. Python Lists.mp4
39M	130. Anaconda.mp4
32M	131. Jupyter Notebook.mp4
55M	132. Data Processing with NumPy Package.mp4
35M	133. Pandas Series.mp4
38M	134. n-darrays to Pandas Series.mp4
30M	135. Slicing values from Pandas Series.mp4
57M	136. Pandas DataFrames.mp4
58M	137. Slicing columns, rows and values from Pandas DataFrames.mp4
85M	138. Data Processing.mp4
169M	139. Data Cleaning.mp4
33M	14. List Built-in Functions.mp4
141M	140. Data Analysis.mp4
179M	141. Data Visualization.mp4
89M	142. Customizing visualizations with matplotlib.mp4
147M	144. Different types of plots with matplotlib.mp4
35M	146. Inspecting the data.mp4
27M	147. Importing the data.mp4
76M	148. Data Processing & Cleaning.mp4
88M	149. Data Analysis.mp4
32M	15. Python Tuples.mp4
43M	150. Data Visualization.mp4
65M	151. Generating the final report.mp4
176M	153. Solutions  Data Science Exercise 2.mp4
27M	154. Web Development with Python & Django.mp4
39M	155. How websites work and how we can create one.mp4
61M	156. Starting our website project with django.mp4
104M	157. Customizing the home page view.mp4
93M	158. HTML Basics.mp4
90M	159. Admin application and Creating our own applications.mp4
21M	16. Tuple Operations and Tuple Built-in Funcitons.mp4
164M	160. Creating our Store view.mp4
136M	161. Creating models and storing eBooks in the database.mp4
97M	162. Adding eBook's through the admin application.mp4
140M	163. Django Template & Context system for html views.mp4
160M	164. Web Design  Stylizing our html tags with CSS.mp4
178M	165. Bootstrap as base template.mp4
126M	166. Adding Bootstrap Cards as eBooks in our store webpage.mp4
100M	167. Adding Bootstrap Navigation Bar to our website.mp4
106M	168. Adding the Cart to our website.mp4
60M	169. Bootstrap containers.mp4
22M	17. Pythons Sets.mp4
55M	170. Creating model for Cart items.mp4
122M	171. Getting Book ID from the Add to Cart button.mp4
137M	172. Defining add_to_cart( ) view function.mp4
70M	173. Displaying the Cart Sub-total.mp4
29M	174. Adding a delete button to cart items.mp4
65M	175. Defining del_cart_item( ) view function.mp4
38M	176. What to display when the cart is empty.mp4
82M	177. Using Bootstrap icons for html elements.mp4
45M	179. What is Machine Learning.mp4
19M	18. Sets Built-in Functions.mp4
54M	180. How machines learn.mp4
53M	181. Creating a machine learning model with dataset.mp4
102M	182. Preparing data to train the machine learning model.mp4
59M	183. Asking the model to make predictions.mp4
168M	184. Testing the performance of the model.mp4
58M	185. How to make training and testing sets easily.mp4
74M	186. Working of the regression model.mp4
57M	187. Creating a classification model.mp4
166M	188. Predicting whether it will rain or not and testing the predictions.mp4
22M	19. Mathematical Sets Operations.mp4
79M	190. Preparing the data.mp4
59M	191. Training the model.mp4
63M	192. Asking the model to make predictions.mp4
25M	193. What is Artificial Intelligence.mp4
56M	194. Natural Language Processing.mp4
149M	195. Feature Extraction from text data with CountVectorization.mp4
85M	196. Finding TF and IDF in extracted features from text data  Text Analytics.mp4
96M	197. Working with images  Computer Vision.mp4
98M	198. Changing color-spaces of images from BGR to RGB to GRAY.mp4
34M	199. Reviews and ratings data to create the model.mp4
97M	2. What is Programming.mp4
21M	20. Python Dictionaries.mp4
47M	200. Extracting features and transforming the  reviews data.mp4
49M	201. Training the model to rate reviews.mp4
49M	202. Creating the function to rate reviews (in raw format).mp4
98M	203. Getting the data to create the model.mp4
92M	204. Detecting faces in images with our model.mp4
133M	205. Creating a function to detect faces and show them.mp4
21M	21. Dictionary Built-in Functions.mp4
35M	23. Decision Control using if statements.mp4
47M	24. Creating conditions using or & and keywords.mp4
69M	25. elif statements.mp4
43M	26. else statements.mp4
73M	27. Decision control with strings and lists.mp4
71M	28. Creating loops using while statements.mp4
61M	29. Iterating over data-types using for loops.mp4
269M	3. Setting-up IDE.mp4
33M	30. Functions in Python and defining our own.mp4
40M	31. Getting arguments during function call.mp4
74M	32. Positional and Keyword arguments.mp4
36M	33. Arguments and Parameters.mp4
26M	34. Arbitrary arguments (args).mp4
36M	35. Arbitrary keyword arguments (kwargs).mp4
22M	36. Return values from user-defined functions using the return keyword.mp4
8.2M	37. pass keywords for functions.mp4
22M	38. lambda functions.mp4
28M	39. Creating a duplicate list elements remover function.mp4
125M	4. Data Types in Python.mp4
45M	40. Redefining the built-in type( ) function.mp4
85M	41. Creating a functions to smartly round decimal points in a result of addition.mp4
35M	42. What are classes and how to create them.mp4
12M	43. Defining class methods.mp4
38M	44. Adding, modifying and deleting class attributes.mp4
82M	45. Class attributes and identifier naming convention.mp4
40M	46. Functions vs Class methods.mp4
65M	47. Operator overloading on user-defined classes.mp4
41M	48. Built-ins overloading on user-defined classes.mp4
144M	49. Creating user-defined iterable classes.mp4
47M	5. Variables.mp4
66M	50. Containership.mp4
48M	51. Inheritance.mp4
39M	52. Accessing inherited objects.mp4
13M	53. The Object class.mp4
34M	54. Multi-level Inhertiance.mp4
59M	55. Multiple Inheritance.mp4
125M	56. Error Handling in Python.mp4
84M	57. User-defined Error's.mp4
41M	58. Catching errors with except block.mp4
52M	59. Use of else & finally blocks.mp4
22M	6. Variable Names.mp4
91M	60. Modules & Packages.mp4
65M	61. random Module.mp4
62M	62. datetime Module.mp4
19M	63. abs( ).mp4
21M	64. all( ).mp4
13M	65. any( ).mp4
4.0M	66. ascii( ).mp4
5.6M	67. bin( ).mp4
4.2M	68. callable( ).mp4
23M	69. compile( ), exec( ) & eval( ).mp4
30M	7. Python Strings.mp4
26M	70. delattr( ).mp4
33M	71. dir( ).mp4
30M	72. enumerate( ).mp4
24M	73. filter( ).mp4
28M	74. format( ).mp4
12M	76. getattr( ).mp4
30M	77. globals( ).mp4
21M	78. hasattr( ).mp4
8.6M	79. hash( ).mp4
17M	8. Extracting values from strings  Strings Slicing & Indicing.mp4
41M	80. help( ).mp4
9.0M	81. hex( ).mp4
8.6M	82. id( ).mp4
23M	83. input( ).mp4
26M	84. isinstance( ).mp4
24M	85. issubclass( ).mp4
12M	86. iter( ) & next( ).mp4
26M	87. locals( ).mp4
34M	88. map( ).mp4
7.7M	89. oct( ).mp4
24M	9. String Built-in Functions.mp4
33M	90. open( ).mp4
30M	92. print( ).mp4
14M	93. range( ).mp4
8.4M	94. repr( ).mp4
11M	95. reversed( ).mp4
18M	96. setattr( ).mp4
13M	97. vars( ).mp4
25M	98. zip( ).mp4
13G	total