|
RAR-files |
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50,000,000 |
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| ilearn-ppbtp3p.r08 |
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| ilearn-ppbtp3p.r09 |
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| ilearn-ppbtp3p.r10 |
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| ilearn-ppbtp3p.r13 |
50,000,000 |
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| ilearn-ppbtp3p.r14 |
50,000,000 |
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| ilearn-ppbtp3p.r15 |
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| ilearn-ppbtp3p.r16 |
50,000,000 |
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| ilearn-ppbtp3p.r17 |
50,000,000 |
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| ilearn-ppbtp3p.r18 |
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| ilearn-ppbtp3p.r19 |
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| ilearn-ppbtp3p.r20 |
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| ilearn-ppbtp3p.r21 |
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| ilearn-ppbtp3p.r22 |
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| ilearn-ppbtp3p.r23 |
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| ilearn-ppbtp3p.r24 |
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| ilearn-ppbtp3p.r25 |
50,000,000 |
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| ilearn-ppbtp3p.r26 |
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| ilearn-ppbtp3p.r27 |
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| ilearn-ppbtp3p.r28 |
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| ilearn-ppbtp3p.r29 |
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| ilearn-ppbtp3p.r30 |
50,000,000 |
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| ilearn-ppbtp3p.r31 |
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| ilearn-ppbtp3p.r33 |
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| ilearn-ppbtp3p.r37 |
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| ilearn-ppbtp3p.r38 |
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| ilearn-ppbtp3p.r39 |
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| ilearn-ppbtp3p.r40 |
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| ilearn-ppbtp3p.r41 |
50,000,000 |
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| ilearn-ppbtp3p.r42 |
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| ilearn-ppbtp3p.r43 |
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| ilearn-ppbtp3p.r44 |
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| ilearn-ppbtp3p.r45 |
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| ilearn-ppbtp3p.r46 |
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| ilearn-ppbtp3p.r47 |
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| ilearn-ppbtp3p.r50 |
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| ilearn-ppbtp3p.r56 |
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| ilearn-ppbtp3p.r63 |
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| ilearn-ppbtp3p.r68 |
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| Total size: |
3,620,861,789 |
|
|
| Archived
files |
|
9. Rules to define variables.mp4
[dcb7dc7393d8b9b6]
|
20,733,854 |
E4B40304 |
|
10. Changing the datatype of a variable.mp4
[c4d11b42c98cc591]
|
5,436,905 |
FCBA8823 |
|
11. Immutable datatypes.mp4
[446c7960d311627d]
|
24,940,563 |
73320614 |
|
12. Arithmetic Operators.mp4
[9c7dd909bcde19b5]
|
29,518,203 |
DB46836A |
|
13. Compound operator and Operator precedence.mp4
[a5dfb3ab4c6a985c]
|
18,634,117 |
1B7105BE |
|
14. Division.mp4
[eb7c1991d6a9fea0]
|
35,056,532 |
F594B2EE |
|
15. Math module.mp4
[eb12d31f244be73c]
|
31,963,181 |
95EADD04 |
|
16. Exercise.mp4
[8839c42487977fc5]
|
9,433,819 |
BE0072A1 |
|
17. File IO function.mp4
[2c32b87daa480506]
|
45,120,598 |
95842775 |
|
18. Print Function.mp4
[488865f091cb3c3c]
|
38,312,768 |
281F7C02 |
|
19. Input Function.mp4
[3686513ff598d303]
|
19,434,807 |
F035EBE5 |
|
20. Help function and tab completion.mp4
[527862d65cbfb34e]
|
32,727,194 |
23BB2AE8 |
|
21. Range function.mp4
[e73a1a06c4b6897]
|
11,189,929 |
68F1D71D |
|
22. Strings.mp4
[302b4b95d16f9a01]
|
36,470,394 |
2B79CDCA |
|
23. Convert a number to a string.mp4
[46d6f2d1f34dc74]
|
11,952,112 |
79D3EB5B |
|
24. Slicing a string.mp4
[3729d88195eb6904]
|
34,680,016 |
A6E8ECD4 |
|
25. Immutable datatypes.mp4
[5418761bd37838ea]
|
25,617,658 |
38DD64D3 |
|
26. Formatting strings.mp4
[a900f53ac54ba265]
|
58,299,164 |
9D7780FE |
|
27. String methods.mp4
[66869e0e0c120a81]
|
44,945,297 |
0DA64B19 |
|
28. Iterating over a string.mp4
[e0af793f1a8f7ab6]
|
7,456,461 |
E2838127 |
|
29. String membership test.mp4
[ebc2aa88adaf62d3]
|
6,571,691 |
7F8DB213 |
|
30. Exercise.mp4
[b86540de4b76d9e8]
|
14,881,893 |
EF80D54E |
|
31. Boolean.mp4
[b55b39d0696d2e2]
|
58,856,744 |
BCED5F4E |
|
32. Exercise.mp4
[916ce6bc52542aab]
|
6,440,126 |
1FE7DC0B |
|
33. Lists.mp4
[abe8e301f340febf]
|
53,865,987 |
0F565463 |
|
34. Slicing lists.mp4
[37f9dffc6f76f2ab]
|
8,921,013 |
49B91871 |
|
35. Slicing lists in reverse direction.mp4
[2b20c80c7ab2006]
|
7,160,812 |
F457A592 |
|
36. List comprehension.mp4
[fb2e16f3c5a55199]
|
34,399,019 |
CDF075BC |
|
37. List methods.mp4
[d7c331a87c2ec5e8]
|
83,078,285 |
9E6C9E03 |
|
38. Convert list to string.mp4
[6881e1e2c52e750e]
|
17,388,542 |
DB40CF41 |
|
39. Nested Lists.mp4
[ce9ae41f72773aae]
|
14,189,601 |
97FD5616 |
|
40. List Aliasing and Cloning.mp4
[9903b7ee0cb43d51]
|
35,081,000 |
84DE7588 |
|
41. Exercise.mp4
[f96c99ab4a518416]
|
29,501,747 |
1BDD6542 |
|
42. Dictionary.mp4
[f830bc2b9a0cea9]
|
51,086,751 |
389B523B |
|
43. Dictionary methods.mp4
[c13d280533beef6b]
|
60,415,658 |
ADD13220 |
|
44. Dictionary membership operators.mp4
[af06be011710ac53]
|
21,942,997 |
E169A4EA |
|
45. Exercise.mp4
[6eb933d80728cf12]
|
15,984,627 |
B51D7835 |
|
46. Tuples.mp4
[452cc9097356b7f0]
|
31,399,875 |
8354B839 |
|
47. Are Tuples mutable or immutable datatypes.mp4
[ccdc3d7a91d0bf6f]
|
30,552,821 |
AEF08160 |
|
48. Tuple methods.mp4
[2e06549a4ebe7414]
|
40,409,682 |
80EE49C4 |
|
49. Tuple packing and unpacking.mp4
[5923273d26efd750]
|
29,326,441 |
002D968F |
|
50. Iterating a tuple and operations on tuples.mp4
[dcaf2f5f6bee6ccf]
|
13,761,613 |
A2465CC0 |
|
51. Exercise.mp4
[eb6c8be3938a70e6]
|
10,267,846 |
4AD6E42E |
|
52. Sets.mp4
[ef7e7461684aaf81]
|
100,813,517 |
9D351732 |
|
53. Exercise.mp4
[189137069aad62ba]
|
7,744,172 |
751FD400 |
|
54. If statement.mp4
[2cdf6fa276fdd29e]
|
39,642,065 |
8C188FB2 |
|
55. If-elif-else statement.mp4
[61a0d99dbe2bd280]
|
28,593,455 |
A6C2F7CF |
|
56. Exercise.mp4
[977c35dd5f374c63]
|
7,715,422 |
5EB27D62 |
|
57. For loop.mp4
[3542a37319033097]
|
40,046,957 |
78E09734 |
|
58. Continue, pass statements.mp4
[73036b8414e9952e]
|
17,747,084 |
C6F5EDB9 |
|
59. While loop.mp4
[2a350e9479f546b3]
|
23,429,550 |
F433D92D |
|
60. Exercise.mp4
[ac3771aff7a15096]
|
12,933,515 |
FB6CBA21 |
|
61. Functions.mp4
[e23b4e12845633b6]
|
61,840,908 |
C4811703 |
|
62. Return Statement.mp4
[a13c9bfb5b40690f]
|
44,208,593 |
790D6D88 |
|
63. Parameter vs Argument.mp4
[c977466da846ea3d]
|
9,482,033 |
A891BBA4 |
|
64. Passing Arguments.mp4
[6cf7110a283d613]
|
59,048,894 |
999645F1 |
|
65. Main function.mp4
[3928fb30bd81e810]
|
5,551,902 |
E7934494 |
|
66. args-kwargs.mp4
[2fd19829387f4a3c]
|
74,644,698 |
26ABD5C7 |
|
67. Lambda function.mp4
[f3cc4a82a8810766]
|
37,071,549 |
1E627B74 |
|
68. Map reduce filter functions.mp4
[6a2b5d0019ae0c76]
|
26,031,920 |
B876E86E |
|
69. Namespaces and Scope of variables.mp4
[e7b01a19e714fac5]
|
90,899,757 |
2FB91AC2 |
|
70. Exercise.mp4
[e0f188508e756913]
|
16,404,842 |
B0668A97 |
|
71. Object Oriented Programming.mp4
[aa7db6d017de3e29]
|
23,178,964 |
B39FBBDF |
|
72. Objects and Classes.mp4
[e7d5364ac2b1a37b]
|
84,172,001 |
855B6C2B |
|
73. Defining Classes and methods in Jupyter NB.mp4
[b2a96d6b46967a5e]
|
92,869,713 |
DD269E4D |
|
74. Inheritance.mp4
[8b21f3249e039d65]
|
89,302,588 |
3B7C0001 |
|
75. Python object.mp4
[3e2c06c409610274]
|
26,972,714 |
2D4F2849 |
|
76. Polymorphism.mp4
[5fed9481833eb190]
|
71,549,222 |
027327DF |
|
77. Encapsulation.mp4
[927b231f3b84744d]
|
45,842,124 |
10470B79 |
|
78. Name Mangling.mp4
[6d517395590764b5]
|
58,346,142 |
D61C89AD |
|
79. Class methods and Static methods.mp4
[f9ec6b73e76685ea]
|
102,648,012 |
59CD5B9A |
|
80. Python __str__ and __repr__ methods.mp4
[556aefae233bec1a]
|
53,700,006 |
45A27EC4 |
|
81. Exercise.mp4
[d05ef79205f9b475]
|
10,295,576 |
794FC04A |
|
82. Pip.mp4
[a84d8b50728eb2c0]
|
33,016,464 |
5B07A8F7 |
|
83. Virtual Environment part1.mp4
[7ddb168ec5fa0fb8]
|
33,552,156 |
F0B050C8 |
|
84. Virtual Environment part2.mp4
[6b396837b96a1f2d]
|
36,092,362 |
4D145E0A |
|
85. Modules and Packages.mp4
[d0b708f3e8277138]
|
31,434,302 |
A46E809B |
|
86. Importing modules.mp4
[dc94a35413b64ee3]
|
71,422,423 |
E1C82292 |
|
87. Importing Packages.mp4
[8eb55a45bdcbceff]
|
44,437,091 |
369625BE |
|
88. Attribute __name__.mp4
[1523bc401564e9c9]
|
46,471,777 |
3E872966 |
|
89. Exceptions.mp4
[f1015cf49fb51403]
|
48,450,493 |
E9976C1E |
|
90. Exception Handling.mp4
[f6abe5c33d141531]
|
57,682,548 |
88434F5C |
|
91. Datetime module - Introduction and Time class.mp4
[a75965892c83486f]
|
63,147,642 |
C641DCE9 |
|
92. Datetime module - Date class and Datetime class.mp4
[b8e4167cf4aa49dd]
|
52,237,061 |
B0685AD7 |
|
93. Datetime module - Timedelta class.mp4
[157f9fa7b8c6451f]
|
50,637,641 |
9D30EC56 |
|
94. Datetime module - Datetime_exercise.mp4
[63f6411ee4a960e3]
|
5,178,198 |
C880281A |
|
95. Iterators.mp4
[97cdca58e770b1cd]
|
29,133,736 |
305DE7F1 |
|
96. Iterators stateful objects.mp4
[ec36cc550dda1cb5]
|
9,729,782 |
66934CC6 |
|
97. How a for loop works.mp4
[afd51121015f96ee]
|
14,858,072 |
8676EDFE |
|
98. Iterator Protocol.mp4
[6b0fae42477c811b]
|
43,954,606 |
DC4E4FCF |
|
99. Generators.mp4
[1554a97a8dfb11c0]
|
48,927,869 |
5A3C2D38 |
|
100. Generator Expressions.mp4
[76d96740c2320bae]
|
19,111,341 |
91072EBB |
|
1. Introduction to Python Programming For Beginners.mp4
[7032998a0c7ab40e]
|
81,421,509 |
94C77D6C |
|
2. Integrated Development Environment (IDE).mp4
[8d10d4b3646b810c]
|
9,947,848 |
49769294 |
|
3. Interpreter modes.mp4
[3c6b42531b585e16]
|
35,097,687 |
B8E662D4 |
|
4. Anaconda Distribution - Install Python.mp4
[acd02adae81f5647]
|
9,269,138 |
A25479D3 |
|
5. Anaconda Jupyter Notebook.mp4
[d0e09ed3a8cd62a5]
|
71,002,822 |
F577138C |
|
6. Python 2 version vs Python 3.mp4
[a49944f7fa0afb87]
|
52,404,039 |
F1C18674 |
|
7. Numeric datatype.mp4
[36f81f3857171a4a]
|
25,527,102 |
5C6551F0 |
|
8. Conversion from integer to float.mp4
[4d406d5db5fc9fb]
|
16,565,822 |
69F08D16 |
|
| Total size: |
3,620,847,769 |
|
|
