2.35 GB | 24min 12s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction.mp4 (45.18 MB)
2 What is Mojo.mp4 (22 MB)
1 Write first mojo program in mojo playground.mp4 (10.3 MB)
2 Install Mojo in Windows WSL.mp4 (79.35 MB)
3 Install Mojo in Windows wsl updated.mp4 (51.2 MB)
4 installing docker on windows part one.mp4 (31.84 MB)
5 Installing Mojo incDocker Part 2.mp4 (85.24 MB)
6 Updated Mojo Installation in Docker.mp4 (99.28 MB)
1 PythonObject in Mojo.mp4 (42.36 MB)
2 SIMD Datatype in Mojo.mp4 (40.31 MB)
1 Int Data Type.mp4 (22.12 MB)
2 Float Data Type.mp4 (14.1 MB)
3 Bool Data Type.mp4 (8.32 MB)
4 String StringLiteral String Ref.mp4 (47.39 MB)
5 Slice In Strings.mp4 (16.28 MB)
6 ListLiteral.mp4 (23.26 MB)
7 Tuple.mp4 (10.66 MB)
8 DynamicVector and InlineFixedVector.mp4 (39.77 MB)
1 var let alias.mp4 (9.91 MB)
2 Conditional Statements.mp4 (14.93 MB)
3 for and while loop with continue and break.mp4 (29.31 MB)
1 def and fn functions.mp4 (21.4 MB)
1 struct in Mojo.mp4 (31.84 MB)
1 inout owned borrowed.mp4 (26.07 MB)
1 @register passable.mp4 (29.69 MB)
2 @unroll.mp4 (13.02 MB)
3 @always inline.mp4 (12.15 MB)
4 @parameter.mp4 (23.45 MB)
5 @noncapturing.mp4 (10.83 MB)
1 Updating Mojo to version 0 6.mp4 (6.77 MB)
2 Traits in Mojo.mp4 (46.26 MB)
3 Traits Inheritance.mp4 (14.16 MB)
4 Traits and Lifecycle Methods.mp4 (22.79 MB)
5 Built in traits in Mojo.mp4 (37.37 MB)
1 Scarlar Vector Matix and Tensor.mp4 (4.76 MB)
2 SIMD splat, join add mul.mp4 (32.8 MB)
3 vectorize and parallelize tensor row mean.mp4 (149.14 MB)
4 Efficient way to create initialise access and print square matrices.mp4 (61.7 MB)
5 Square matrices multiplication with a scalar in a vectorize way.mp4 (48.92 MB)
1 Factorial of a number.mp4 (19.39 MB)
1 Mandelbrot set theory.mp4 (36.83 MB)
2 Mandelbrot implementation in mojo.mp4 (137.15 MB)
1 Juliaset theory.mp4 (5.52 MB)
2 Juliaset Implementation in Mojo.mp4 (188.91 MB)
1 MLP theory part 1.mp4 (19.94 MB)
2 MLP part 2.mp4 (20 MB)
3 MLP one dimentional array.mp4 (52.38 MB)
4 MLP 2 dimensional array.mp4 (94.64 MB)
5 MLP create neural network struct.mp4 (22.54 MB)
6 MLP feed forward method.mp4 (89.66 MB)
7 MLP MSE and derivation sigmoid activation function.mp4 (26.14 MB)
8 MLP fit method.mp4 (180.45 MB)
9 Final main method.mp4 (50.18 MB)
1 Error handling part 1.mp4 (29.29 MB)
2 Error handling part 2.mp4 (9.85 MB)
3 File Handling.mp4 (12.35 MB)
1 Mojo CLI Commands.mp4 (45.82 MB)
1 Conclusion.mp4 (30.31 MB)]
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