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Udemy Python Programming Basics Multithreading OOP and NumPy

Torrent Info
Category Other
Added Thursday 26th October 2023 01:37:16 PM (3 years ago)
Size2.9 GB
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Torrent Files (403)
FilenameSize
1. Multithreading vs parallel programming.mp481.5 MB
TutsNode.com.txt63 bytes
1.1 python_programming_slides.pptx522.6 KB
1. Introduction.srt2.9 KB
3.1 python_programming.zip28.2 KB
2. Dining philosophers problems II - constants.srt2.7 KB
1. Installing PyCharm and Python on Windows.html901 bytes
2. Installing PyCharm and Python on Mac.html901 bytes
6. List of exceptions.html43.0 KB
1. How to measure the running time of algorithms.srt14.0 KB
9. Reduce.srt14.0 KB
21. Sorting.srt13.0 KB
3. Positional arguments and keyword arguments.srt13.0 KB
3. Booleans.srt2.4 KB
17. Inter-thread communication - event objects.srt12.1 KB
3. Dimension of arrays.srt12.1 KB
17. Dictionaries in Python.srt12.1 KB
5. Dining philosophers problems V - running the simulation.srt11.9 KB
11. What is recursion.srt11.7 KB
14. What are linked list data structures.srt11.6 KB
16. Hashing and O(1) running time complexity.srt11.2 KB
18. Sets in Python.srt11.1 KB
1. Multithreading vs parallel programming.srt10.6 KB
4. Indexes and slicing.srt10.2 KB
17. Comparing objects - overriding functions.srt10.2 KB
16. Semaphores example.srt10.2 KB
10. Exercise conditional statements.html751 bytes
11. Solution conditional statements.html430 bytes
8. Daemon threads.srt10.1 KB
18. What are thread pools.srt10.1 KB
6. Call by reference and value.srt9.9 KB
9. How to use multiple conditions.srt9.9 KB
6. Reshape.srt9.9 KB
19. Thread pools and return values.srt9.9 KB
15. Exercise calculating the average.html301 bytes
16. Solution calculating the average.html273 bytes
4. Strings.srt9.8 KB
6. Lists in Python - advanced operations.srt9.8 KB
2. Creating and updating arrays.srt9.6 KB
4. What are array data structures II.srt9.5 KB
4. Dining philosophers problems IV - philosopher.srt9.4 KB
1. Creating and starting threads.srt9.2 KB
3. What are array data structures I.srt9.0 KB
8. Map.srt8.7 KB
21. Exercise Fibonacci-numbers.html281 bytes
22. Solution Fibonacci-numbers.html643 bytes
23. Python Basics Quiz.html155 bytes
10. Why to use synchronization.srt8.5 KB
9. Stacking and merging arrays.srt8.4 KB
2. Stack memory and heap memory simulation.srt8.3 KB
5. String slicing.srt8.3 KB
3. Garbage collection and reference counting.srt8.3 KB
14. What are deadlocks and livelocks.srt8.0 KB
1. What are processes and threads.srt8.0 KB
4. Returning values.srt2.9 KB
2. Handling exceptions.srt7.8 KB
13. Using RLocks.srt7.8 KB
6. Exercise functions.html385 bytes
7. Solution functions.html281 bytes
13. Loops - for loop.srt7.7 KB
3. Dining philosophers problems III - chopstick.srt7.7 KB
2. Lambda expressions basics.srt7.7 KB
9. Local and global variables.srt2.6 KB
15. Modules.srt7.6 KB
11. Synchronization with locks.srt7.5 KB
3. Using the constructor.srt7.5 KB
1. First steps in Python.srt7.4 KB
12. Exercise recursion.html330 bytes
13. Solution recursion.html509 bytes
5. Defining our own exceptions.srt7.1 KB
7. Lists in Python - list comprehension.srt7.1 KB
5. Lists in Python.srt7.0 KB
7. Filter.srt7.0 KB
16. Functions Quiz.html155 bytes
2. Defining functions.srt6.9 KB
19. Break and continue.srt6.8 KB
15. Doubly linked list implementation in Python.srt6.7 KB
7. Operators.srt6.6 KB
7. Using the with keyword.srt6.6 KB
12. Polymorphism and abstraction example.srt6.5 KB
1. Reading and processing files.srt6.5 KB
8. Yield operator.srt6.5 KB
2. What are the basic data types.srt6.4 KB
2. Processing files - example #1.srt6.2 KB
13. Mutability and immutability.srt6.0 KB
11. What is polymorphism.srt5.8 KB
3. Processing files - example #2.srt5.8 KB
5. Types.srt5.8 KB
8. (!!!) Python lists and arrays.html631 bytes
9. Exercise list comprehension.html1.2 KB
10. Solution list comprehension.html699 bytes
11. Measuring running time of lists.html1.2 KB
1. What are functions.srt5.7 KB
1. What is the key advantage of NumPy.srt5.7 KB
7. Private variables and name mangling.srt5.6 KB
1. What is functional programming.srt5.6 KB
10. What are the most relevant built-in functions.srt5.6 KB
9. The super keyword.srt5.5 KB
6. Lambda functions within standard functions.srt5.4 KB
4. Class variables and instance variables.srt5.4 KB
14. Loops - while loop.srt5.4 KB
3. Joining threads.srt5.3 KB
6. Type casting.srt5.3 KB
1. Why to learn Python.srt5.3 KB
14. Local vs global variables.srt5.2 KB
8. Conditional statements.srt5.2 KB
19. Exercise constructing dictionaries.html493 bytes
20. Solution constructing dictionaries.html362 bytes
2. Creating threads with inheritance.srt5.2 KB
15. What are semaphores.srt5.1 KB
22. Data Structures Quiz.html155 bytes
12. What are tuples.srt5.0 KB
18. Enumerate.srt4.9 KB
9. Memory management of threads.srt4.8 KB
10. Filter.srt4.8 KB
5. The == and the is operators.srt4.7 KB
3. Handling exceptions II.srt4.7 KB
8. What is inheritance in OOP.srt4.6 KB
3. Positional arguments and keyword arguments.srt4.6 KB
5. Exercise constructing classes.html550 bytes
6. Solution constructing classes.html430 bytes
15. The __main__ function.srt4.5 KB
4. Create new files and update contenct.srt4.5 KB
2. Data structures introduction.srt4.5 KB
1. What are stack and heap memory.srt4.4 KB
12. Logical operators.srt4.4 KB
5. Threads and processes revisited.html4.2 KB
4. Anonymous functions.srt4.1 KB
4. Handling parameters.srt4.1 KB
2. What is the Global Interpreter Lock (GIL).srt4.0 KB
16. The __str__ function.srt3.9 KB
4. Raise exceptions.srt3.8 KB
5. Returning multiple values.srt3.7 KB
13. Exercise abstraction.html584 bytes
14. Solution abstraction.html714 bytes
2. The time-slicing algorithm.srt3.7 KB
4. Downside of multithreading.srt3.5 KB
2. Class and objects basics.srt3.5 KB
5. Immediately invoked function expression (IIFE).srt3.5 KB
4. Revisiting the types of variables.srt3.4 KB
17. What are nested loops.srt3.4 KB
18. Object Oriented Programming Quiz.html155 bytes
1. Dining philosophers problem I - the problem.srt3.3 KB
20. Calculating Fibonacci-numbers.srt3.3 KB
1. What is object oriented programming (OOP).srt3.2 KB
10. Function (method) override.srt3.1 KB
3. Benefits of multithreading.srt3.1 KB
1. What are exceptions and errors.srt2.4 KB
12. What are re-entrant locks.html1.3 KB
11. Running time comparison arrays and lists.html1.3 KB
7. Solution multithreading.html877 bytes
20. Exercise thread pools.html687 bytes
5. Exercise handling files.html619 bytes
6. Exercise multithreading.html611 bytes
7. Memory Management Quiz.html155 bytes
[TGx]Downloaded from torrentgalaxy.to .txt585 bytes
10. Exercise lambda expressions.html577 bytes
6. Solution handling files.html514 bytes
21. Solution thread pools.html439 bytes
7. Exercise reshape problem.html368 bytes
11. Solution lambda expressions.html216 bytes
8. Solution reshape problem.html208 bytes
8. Exceptions and Errors Quiz.html155 bytes
5. Multithreading Theory Quiz.html155 bytes
22. Multithreading Implementation Quiz.html155 bytes
3. Parallel Computing Quiz.html155 bytes
12. Lambda Expressions Quiz.html155 bytes
12. NumPy Quiz.html155 bytes
2. Download slides as PDF.html47 bytes
3. Download source code.html45 bytes
1. Download slides.html40 bytes
0168.8 KB
5. Dining philosophers problems V - running the simulation.mp477.3 MB
1704.4 KB
17. Inter-thread communication - event objects.mp459.7 MB
2270.3 KB
4. Dining philosophers problems IV - philosopher.mp452.1 MB
3886.7 KB
21. Sorting.mp450.6 MB
4419.0 KB
18. Sets in Python.mp447.2 MB
5858.5 KB
8. Daemon threads.mp446.3 MB
6673.2 KB
9. Reduce.mp446.3 MB
7716.9 KB
3. Positional arguments and keyword arguments.mp446.1 MB
8891.9 KB
18. What are thread pools.mp446.0 MB
91016.4 KB
16. Semaphores example.mp444.0 MB
1021.3 KB
1. Creating and starting threads.mp441.1 MB
11920.8 KB
17. Comparing objects - overriding functions.mp440.2 MB
12813.6 KB
19. Thread pools and return values.mp439.8 MB
13242.4 KB
6. Lists in Python - advanced operations.mp439.3 MB
14696.0 KB
17. Dictionaries in Python.mp438.5 MB
15507.4 KB
1. How to measure the running time of algorithms.mp437.3 MB
16704.2 KB
6. Call by reference and value.mp436.5 MB
17520.4 KB
3. Dimension of arrays.mp436.3 MB
18746.8 KB
11. Synchronization with locks.mp436.1 MB
19876.2 KB
5. Defining our own exceptions.mp435.4 MB
20568.9 KB
3. Dining philosophers problems III - chopstick.mp435.4 MB
21626.5 KB
11. What is recursion.mp435.3 MB
22717.5 KB
14. What are linked list data structures.mp434.5 MB
23501.6 KB
8. Map.mp434.4 MB
24660.2 KB
6. Reshape.mp433.9 MB
25150.5 KB
2. Creating and updating arrays.mp433.8 MB
26234.7 KB
3. Using the constructor.mp433.6 MB
27408.2 KB
12. Polymorphism and abstraction example.mp433.3 MB
28741.1 KB
13. Using RLocks.mp432.9 MB
29118.7 KB
4. Indexes and slicing.mp431.5 MB
30491.6 KB
9. How to use multiple conditions.mp431.4 MB
31602.4 KB
10. Why to use synchronization.mp431.2 MB
32770.1 KB
2. Handling exceptions.mp431.2 MB
33804.6 KB
16. Hashing and O(1) running time complexity.mp431.0 MB
341005.3 KB
4. Class variables and instance variables.mp431.0 MB
351009.6 KB
14. What are deadlocks and livelocks.mp430.9 MB
3657.8 KB
1. What are processes and threads.mp429.4 MB
37575.0 KB
3. Garbage collection and reference counting.mp428.9 MB
38129.2 KB
4. Strings.mp428.2 MB
39860.8 KB
9. Stacking and merging arrays.mp427.7 MB
40308.9 KB
2. Creating threads with inheritance.mp426.8 MB
41216.8 KB
7. Filter.mp426.0 MB
4246.7 KB
2. Lambda expressions basics.mp425.6 MB
43406.1 KB
5. String slicing.mp425.1 MB
44934.2 KB
3. What are array data structures I.mp425.0 MB
451015.4 KB
4. What are array data structures II.mp425.0 MB
4645.8 KB
15. Doubly linked list implementation in Python.mp424.5 MB
47538.1 KB
7. Using the with keyword.mp424.3 MB
48714.0 KB
2. Stack memory and heap memory simulation.mp424.0 MB
498.5 KB
3. Joining threads.mp423.3 MB
50727.1 KB
7. Lists in Python - list comprehension.mp422.9 MB
51115.4 KB
9. Memory management of threads.mp421.9 MB
5283.1 KB
15. Modules.mp421.8 MB
53201.4 KB
5. Lists in Python.mp421.7 MB
54259.6 KB
9. The super keyword.mp421.2 MB
55780.7 KB
11. What is polymorphism.mp421.2 MB
56845.6 KB
7. Operators.mp420.6 MB
57377.8 KB
19. Break and continue.mp420.4 MB
58574.8 KB
2. Processing files - example #1.mp420.1 MB
59962.7 KB
6. Lambda functions within standard functions.mp419.8 MB
60209.5 KB
3. Processing files - example #2.mp419.6 MB
61449.5 KB
5. Types.mp419.3 MB
62716.3 KB
7. Private variables and name mangling.mp419.1 MB
63877.7 KB
13. Loops - for loop.mp419.0 MB
6443.5 KB
2. Defining functions.mp418.9 MB
65138.7 KB
1. What is functional programming.mp418.8 MB
66168.4 KB
1. Reading and processing files.mp418.7 MB
67343.3 KB
4. Anonymous functions.mp418.6 MB
68381.7 KB
13. Mutability and immutability.mp418.5 MB
69513.1 KB
8. Yield operator.mp418.3 MB
70722.7 KB
10. Function (method) override.mp418.2 MB
71842.4 KB
8. What is inheritance in OOP.mp418.0 MB
72987.2 KB
8. Conditional statements.mp417.8 MB
73184.9 KB
1. Why to learn Python.mp417.8 MB
74195.8 KB
15. What are semaphores.mp417.8 MB
75235.0 KB
12. Logical operators.mp417.6 MB
76422.6 KB
3. Handling exceptions II.mp417.5 MB
77465.9 KB
4. Handling parameters.mp417.3 MB
78694.7 KB
1. What are functions.mp417.3 MB
79713.3 KB
1. What is the key advantage of NumPy.mp417.2 MB
80837.9 KB
6. Type casting.mp416.8 MB
81249.7 KB
2. What is the Global Interpreter Lock (GIL).mp415.9 MB
8289.7 KB
2. What are the basic data types.mp415.7 MB
83298.2 KB
16. The __str__ function.mp415.7 MB
84329.2 KB
5. The == and the is operators.mp415.6 MB
85428.8 KB
10. What are the most relevant built-in functions.mp415.4 MB
86629.9 KB
10. Filter.mp415.3 MB
87761.6 KB
18. Enumerate.mp415.1 MB
88877.0 KB
14. Local vs global variables.mp415.0 MB
89995.7 KB
15. The __main__ function.mp414.8 MB
90189.4 KB
12. What are tuples.mp414.7 MB
91269.1 KB
14. Loops - while loop.mp414.4 MB
92594.9 KB
4. Raise exceptions.mp414.3 MB
93686.2 KB
3. Positional arguments and keyword arguments.mp414.0 MB
9436.3 KB
4. Create new files and update contenct.mp413.9 MB
9578.1 KB
2. Data structures introduction.mp413.8 MB
96153.9 KB
1. First steps in Python.mp413.7 MB
97323.2 KB
1. Introduction.mp413.3 MB
98706.3 KB
17. What are nested loops.mp413.2 MB
99845.0 KB
1. What is object oriented programming (OOP).mp412.5 MB
100500.3 KB
4. Revisiting the types of variables.mp412.2 MB
101836.8 KB
5. Returning multiple values.mp412.2 MB
102851.5 KB
2. The time-slicing algorithm.mp412.1 MB
103938.5 KB
3. Benefits of multithreading.mp411.3 MB
104747.0 KB
4. Downside of multithreading.mp411.2 MB
105783.2 KB
5. Immediately invoked function expression (IIFE).mp410.9 MB
106111.6 KB
1. What are stack and heap memory.mp410.9 MB
107122.6 KB
2. Class and objects basics.mp410.5 MB
108522.9 KB
1. Dining philosophers problem I - the problem.mp49.9 MB
10979.8 KB
2. Dining philosophers problems II - constants.mp49.6 MB
110425.0 KB
1. What are exceptions and errors.mp48.9 MB
111101.6 KB
9. Local and global variables.mp48.9 MB
112104.9 KB
20. Calculating Fibonacci-numbers.mp48.4 MB
113620.7 KB
4. Returning values.mp48.1 MB
114881.5 KB
3. Booleans.mp46.8 MB
115219.8 KB
2.1 python_programming_pdf.pdf1.0 MB
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