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585б |
| 0 |
179.04Кб |
| 001. Learn Enough Python to Be Dangerous Introduction.mp4 |
26.27Мб |
| 001. Learn Enough Python to Be Dangerous Summary.mp4 |
11.52Мб |
| 001. Topics.mp4 |
9.12Мб |
| 001. Topics.mp4 |
9.04Мб |
| 001. Topics.mp4 |
8.39Мб |
| 001. Topics.mp4 |
5.19Мб |
| 001. Topics.mp4 |
5.04Мб |
| 001. Topics.mp4 |
4.68Мб |
| 001. Topics.mp4 |
4.51Мб |
| 001. Topics.mp4 |
4.31Мб |
| 001. Topics.mp4 |
4.28Мб |
| 001. Topics.mp4 |
4.25Мб |
| 001. Topics.mp4 |
3.80Мб |
| 002. 1.1 Introduction to Python.mp4 |
5.73Мб |
| 002. 10.1 Setup.mp4 |
9.90Мб |
| 002. 11.1 Data science setup.mp4 |
5.44Мб |
| 002. 2.1 String basics.mp4 |
6.86Мб |
| 002. 3.1 Splitting.mp4 |
4.69Мб |
| 002. 4.1 Math.mp4 |
13.12Мб |
| 002. 5.1 Function definitions.mp4 |
27.25Мб |
| 002. 6.1 List comprehensions.mp4 |
10.48Мб |
| 002. 7.1 Defining classes.mp4 |
12.81Мб |
| 002. 8.1 Package setup.mp4 |
8.67Мб |
| 002. 9.1 Reading from files.mp4 |
24.13Мб |
| 003. 1.2 Python in a REPL.mp4 |
2.26Мб |
| 003. 10.2 Site pages.mp4 |
13.50Мб |
| 003. 11.2 Numerical computations with NumPy.mp4 |
30.95Мб |
| 003. 2.2 Concatenation and interpolation.mp4 |
9.45Мб |
| 003. 3.2 List access.mp4 |
4.48Мб |
| 003. 4.2 Times and datetimes.mp4 |
13.41Мб |
| 003. 5.2 Functions in a file.mp4 |
12.13Мб |
| 003. 6.2 List comprehensions with conditions.mp4 |
10.29Мб |
| 003. 7.2 Custom iterators.mp4 |
10.57Мб |
| 003. 8.2 Initial test coverage.mp4 |
31.41Мб |
| 003. 9.2 Reading from URLs.mp4 |
14.06Мб |
| 004. 1.3 Python in a file.mp4 |
9.22Мб |
| 004. 10.3 Layouts.mp4 |
41.89Мб |
| 004. 11.3 Data visualization with Matplotlib.mp4 |
42.71Мб |
| 004. 2.3 Printing.mp4 |
3.58Мб |
| 004. 3.3 List slicing.mp4 |
7.96Мб |
| 004. 4.3 Regular expressions.mp4 |
13.49Мб |
| 004. 5.3 Iterators.mp4 |
21.75Мб |
| 004. 6.3 Dictionary comprehensions.mp4 |
7.98Мб |
| 004. 7.3 Inheritance.mp4 |
8.46Мб |
| 004. 8.3 Red.mp4 |
16.20Мб |
| 004. 9.3 DOM manipulation at the command line.mp4 |
34.54Мб |
| 005. 1.4 Python in a shell script.mp4 |
4.63Мб |
| 005. 10.4 Template engine.mp4 |
30.17Мб |
| 005. 11.4 Introduction to data analysis with pandas.mp4 |
19.45Мб |
| 005. 2.4 Length, booleans, and control flow.mp4 |
18.03Мб |
| 005. 3.4 More list techniques.mp4 |
13.25Мб |
| 005. 4.4 Dictionaries.mp4 |
17.00Мб |
| 005. 6.4 Generator and set comprehensions.mp4 |
6.00Мб |
| 005. 7.4 Derived classes.mp4 |
23.13Мб |
| 005. 8.4 Green.mp4 |
18.91Мб |
| 006. 1.5 Python in a web browser.mp4 |
22.17Мб |
| 006. 10.5 Palindrome detector.mp4 |
62.78Мб |
| 006. 11.5 pandas example Nobel laureates.mp4 |
62.82Мб |
| 006. 2.5 Methods.mp4 |
10.59Мб |
| 006. 3.5 List iteration.mp4 |
4.67Мб |
| 006. 4.5 Application Unique words.mp4 |
18.69Мб |
| 006. 6.5 Other functional techniques.mp4 |
7.44Мб |
| 006. 8.5 Refactor.mp4 |
30.51Мб |
| 007. 10.6 Conclusion.mp4 |
1.90Мб |
| 007. 11.6 pandas example Titanic.mp4 |
27.64Мб |
| 007. 2.6 String iteration.mp4 |
9.61Мб |
| 007. 3.6 Tuples and sets.mp4 |
8.49Мб |
| 008. 11.7 Machine learning with scikit-learn.mp4 |
44.11Мб |
| 009. 11.8 Further resources and conclusion.mp4 |
1.64Мб |
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| TutsNode.net.txt |
63б |