RAR-files |
jgt-9781838553012.proper.rar |
100,000,000 |
168B8E3D |
jgt-9781838553012.proper.r00 |
100,000,000 |
597D325A |
jgt-9781838553012.proper.r01 |
100,000,000 |
4DECC042 |
jgt-9781838553012.proper.r02 |
100,000,000 |
59D74FED |
jgt-9781838553012.proper.r03 |
100,000,000 |
AAFBA427 |
jgt-9781838553012.proper.r04 |
100,000,000 |
F5D6D24C |
jgt-9781838553012.proper.r05 |
100,000,000 |
A6D7A1CD |
jgt-9781838553012.proper.r06 |
100,000,000 |
F96CAA59 |
jgt-9781838553012.proper.r07 |
100,000,000 |
1D3092D3 |
jgt-9781838553012.proper.r08 |
100,000,000 |
F8456FD4 |
jgt-9781838553012.proper.r09 |
100,000,000 |
A4F4FAD1 |
jgt-9781838553012.proper.r10 |
100,000,000 |
D1EAC5D2 |
jgt-9781838553012.proper.r11 |
100,000,000 |
7CF8A6B6 |
jgt-9781838553012.proper.r12 |
100,000,000 |
5DDE62FF |
jgt-9781838553012.proper.r13 |
100,000,000 |
F93FE1C6 |
jgt-9781838553012.proper.r14 |
100,000,000 |
1C5902FB |
jgt-9781838553012.proper.r15 |
100,000,000 |
5373C8AE |
jgt-9781838553012.proper.r16 |
100,000,000 |
F4656B5F |
jgt-9781838553012.proper.r17 |
100,000,000 |
69C089F2 |
jgt-9781838553012.proper.r18 |
100,000,000 |
71595C6A |
jgt-9781838553012.proper.r19 |
100,000,000 |
36DF9043 |
jgt-9781838553012.proper.r20 |
100,000,000 |
C33B8D90 |
jgt-9781838553012.proper.r21 |
100,000,000 |
D7FD36EE |
jgt-9781838553012.proper.r22 |
100,000,000 |
F173B1BE |
jgt-9781838553012.proper.r23 |
100,000,000 |
7BE52726 |
jgt-9781838553012.proper.r24 |
100,000,000 |
1FDE3707 |
jgt-9781838553012.proper.r25 |
100,000,000 |
7BFA4094 |
jgt-9781838553012.proper.r26 |
100,000,000 |
96101659 |
jgt-9781838553012.proper.r27 |
100,000,000 |
A00A7A3D |
jgt-9781838553012.proper.r28 |
100,000,000 |
713FCA0F |
jgt-9781838553012.proper.r29 |
100,000,000 |
D3B44BE2 |
jgt-9781838553012.proper.r30 |
46,878,329 |
713DF128 |
|
Total size: |
3,146,878,329 |
|
|
Archived
files |
Packt Python and Data Science A Practical Guide\01.Introduction\0101.Introduction.mp4
[9ac6652ea484901a]
|
6,940,539 |
BB7ABEAF |
Packt Python and Data Science A Practical Guide\02.Environment\0201.Introduction to data science.mp4
[e32fe72a30542337]
|
66,381,652 |
3C419928 |
Packt Python and Data Science A Practical Guide\02.Environment\0202.Installing dependencies.mp4
[d3d3a6f66d16fa1f]
|
41,230,185 |
85437F99 |
Packt Python and Data Science A Practical Guide\02.Environment\0203.Real world examples.mp4
[c16a4576c7cad95]
|
31,573,367 |
BAEA76C1 |
Packt Python and Data Science A Practical Guide\02.Environment\0204.Using Anaconda and Jupyter notebooks.mp4
[c1117e75e033a0d1]
|
57,882,302 |
F341C41F |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0301.Introduction to variables.mp4
[2c695fcd23111657]
|
61,434,228 |
FE1EEEC9 |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0302.Integers, floats, and math operators.mp4
[c313e7264748579b]
|
56,421,270 |
F7183560 |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0303.Strings and indexing part 1.mp4
[58e14c78336be572]
|
39,871,730 |
99C07CF1 |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0304.Strings and indexing part 2.mp4
[71f8454d5a91752a]
|
34,517,587 |
EB59CD4A |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0305.Using Modulo with Strings.mp4
[5c6afffd81839adb]
|
33,532,022 |
730F5F3B |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0306.Problem.mp4
[9a2ceb9101099957]
|
11,278,127 |
62EE253C |
Packt Python and Data Science A Practical Guide\03.Integers and Strings\0307.Answer.mp4
[b2223b354203530c]
|
27,248,542 |
77C3D6B0 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0401.Booleans and Comparison Operators.mp4
[a9ade1e60276258f]
|
50,483,122 |
08C5F21C |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0402.If Else Statements.mp4
[a85f49d275cc80d0]
|
40,613,787 |
4A6D1DDD |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0403.Elif and Logic Operators.mp4
[31904ef3c89a6afe]
|
43,721,594 |
9E840BBA |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0404.Try Except Statements.mp4
[13225a8f53e9ef86]
|
34,714,844 |
3EC8DCD4 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0405.Finally Statements and Advance TryExcept Logic.mp4
[e98c981313e0b0d5]
|
34,025,189 |
613AC935 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0406.Exception Types.mp4
[d021867e1edf0174]
|
53,696,815 |
3F2B31B3 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0407.Problem.mp4
[893a901aab79b4e]
|
8,067,825 |
12BECA45 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic\0408.Answer.mp4
[95a11d56cff20d18]
|
26,275,826 |
415DEFDE |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0501.Lists and tuples.mp4
[7dfa92d431455641]
|
74,413,843 |
01F84AEE |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0502.Dictionaries.mp4
[74e2b1ed92e9b197]
|
67,105,773 |
AED6720E |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0503.For loops.mp4
[35a5f0fba6876192]
|
64,907,182 |
F260FA24 |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0504.While loops.mp4
[2facd3c4501834f7]
|
36,437,990 |
987ADDFF |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0505.Loop logic.mp4
[d14439c423385d5b]
|
52,901,545 |
569D1608 |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0506.ListDictionary comprehensions.mp4
[51ffa8944c38eadf]
|
49,553,647 |
C27B12BF |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0507.Problem.mp4
[6d4e9ad21f488354]
|
7,435,821 |
20AA75CF |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops\0508.Answer.mp4
[32bb22fc75c52b0b]
|
44,368,326 |
741DF9A3 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0601.Scripting in Python.mp4
[56bac3539c531c1a]
|
52,697,876 |
B3A5AEF1 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0602.Functions.mp4
[4dd05dbd7ed953c2]
|
51,898,342 |
A91ECBAF |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0603.Function parameters and scope.mp4
[c996cf33f4aaa3f4]
|
41,794,153 |
206E1F00 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0604.Packages and pip.mp4
[90d4b0b5d43b7aef]
|
51,399,017 |
9C8C6F03 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0605.Reading Files and the with statement.mp4
[5eba15f462f91f4]
|
70,244,737 |
C7024AB2 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0606.Writing Out to Files.mp4
[bae203c07c3a52c6]
|
84,981,135 |
2E9E5B7E |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0607.Problem.mp4
[19adb23365b12e51]
|
9,267,540 |
E2F2B526 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages\0608.Answer.mp4
[8ee3ea3e72378656]
|
33,005,551 |
2D8797BE |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0701.Pandas and data Frames.mp4
[7e96a99d7fe70683]
|
53,611,518 |
24CA4EE2 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0702.Pandas part 2.mp4
[f9060604b877ac74]
|
70,262,255 |
8AA0032D |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0703.Introduction to statistics.mp4
[417229177d5b15a6]
|
54,637,015 |
306ADD55 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0704.Statistics part 2.mp4
[3746b09fb1d56664]
|
42,648,136 |
445C1405 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0705.Practical analysis.mp4
[5626558c165eefa4]
|
62,413,813 |
978387A8 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0706.Problem.mp4
[bae55a53a155f12]
|
18,141,608 |
452D41D9 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames\0707.Answer.mp4
[347b655028ae9f73]
|
24,496,761 |
5719EC88 |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0801.Introduction to visualization.mp4
[3ecd9dc2b8f46dc8]
|
55,302,789 |
E2BA723C |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0802.Plotting and styling.mp4
[dcb05839341b73c5]
|
58,616,056 |
2F6AF612 |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0803.Scatter plots.mp4
[198667cd5b5dd68a]
|
52,969,063 |
85E5151A |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0804.Bar Plots and standard deviation.mp4
[b10e4bc77beb169e]
|
55,936,512 |
A67CF1AA |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0805.Problem.mp4
[10dadb5ae1045133]
|
13,235,760 |
D58BED9A |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots\0806.Answer.mp4
[14f3b49ea5ed17ef]
|
52,668,057 |
FA068305 |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python\0901.Scraping and HTML.mp4
[5ed11dfbea137f85]
|
49,902,983 |
20A1B8F0 |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python\0902.Building a simple crawler.mp4
[bd4befdd6c2fccaa]
|
49,603,011 |
DA91DF65 |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python\0903.Scraping data from HTML.mp4
[8f19fc49460254db]
|
59,767,959 |
F19A6C92 |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python\0904.Problem.mp4
[75205d1aa751142a]
|
12,215,821 |
A2947C6C |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python\0905.Answer.mp4
[12840fdd5db28275]
|
38,039,127 |
5469C89A |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP)\1001.Introduction to NLP.mp4
[a374bd4f380fca91]
|
54,317,732 |
E8008CA5 |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP)\1002.Basic NLP.mp4
[7c084793991f44bf]
|
67,080,406 |
C0C5702F |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP)\1003.Introduction to sentiment analysis.mp4
[121d98426912d7fc]
|
77,942,584 |
4D8D34B8 |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP)\1004.Problem.mp4
[8cabc4bbf185ab0e]
|
8,690,763 |
25352F66 |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP)\1005.Answer.mp4
[79dbc2ee4e5edb61]
|
34,778,179 |
E72A0506 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1101.Introduction to machine learning.mp4
[f3f5cff9b234f478]
|
63,311,034 |
702827D4 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1102.Introduction to reinforcement learning.mp4
[e2a925f84ec3053f]
|
20,506,998 |
D2F09112 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1103.Introduction to random forest modeling.mp4
[4c0f2812941c9337]
|
67,495,797 |
1DC72F4B |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1104.Introduction to deep learning.mp4
[4ae31fcec0c2833d]
|
64,380,258 |
A2B62FA0 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1105.Problem.mp4
[a14db5dccab17215]
|
25,247,945 |
D9F9DA45 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning\1106.Answer.mp4
[e8fa09f1736bdacb]
|
31,113,691 |
2582661D |
Packt Python and Data Science A Practical Guide\12.Optional Classes\1201.Python Style Guidelines.mp4
[88da86ca34595cae]
|
46,499,710 |
7F36E5A0 |
Packt Python and Data Science A Practical Guide\12.Optional Classes\1202.Navigating Directories and os Package.mp4
[313bac83042331ef]
|
50,777,297 |
D641D861 |
Packt Python and Data Science A Practical Guide\12.Optional Classes\1203.Creating a Class Type.mp4
[7cc8c89a65611153]
|
47,911,776 |
1CB34EF3 |
Packt Python and Data Science A Practical Guide\13.Project #1 - Analyze and visualize data on Kaggle\1301.Project 1 - Analyze and visualize data on Kaggle.mp4
[476075b06898b05d]
|
18,636,634 |
97A5FF23 |
Packt Python and Data Science A Practical Guide\13.Project #1 - Analyze and visualize data on Kaggle\1302.Project 1 Answer.mp4
[d0e5f9122e9b34e0]
|
12,457,789 |
B4252D32 |
Packt Python and Data Science A Practical Guide\14.Project #2 - Natural language processing\1401.Project 2 - Natural language processing.mp4
[6ba9ae86feb87426]
|
7,358,193 |
A2ECFE8B |
Packt Python and Data Science A Practical Guide\14.Project #2 - Natural language processing\1402.Project 2 Answer.mp4
[87511586c58f9b00]
|
21,080,205 |
468B6CBB |
Packt Python and Data Science A Practical Guide\15.Project #3 - Create a simple support vector machine\1501.Project 3 - Create a simple support vector machine.mp4
[ad297fcff211c037]
|
5,853,623 |
22877B19 |
Packt Python and Data Science A Practical Guide\15.Project #3 - Create a simple support vector machine\1502.Project 3 Answer.mp4
[abbc92ff48c90253]
|
13,557,603 |
68CCE3B9 |
Packt Python and Data Science A Practical Guide\01.Introduction |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\02.Environment |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\03.Integers and Strings |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\04.If Statements and Basic Programming Logic |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\05.Lists, Tuples, Dictionaries and ForWhile Loops |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\06.Functions and Packages |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\07.Pandas and Data Frames |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\08.Visualization - Scatter Plots, Bar Plots |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\09.Scraping the Web with Python |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\10.Basics of Natural Language Processing (NLP) |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\11.Introduction to Machine Learning |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\12.Optional Classes |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\13.Project #1 - Analyze and visualize data on Kaggle |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\14.Project #2 - Natural language processing |
0 |
00000000 |
Packt Python and Data Science A Practical Guide\15.Project #3 - Create a simple support vector machine |
0 |
00000000 |
Packt Python and Data Science A Practical Guide |
0 |
00000000 |
|
Total size: |
3,115,789,492 |
|
|