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Mojo Language Specification  · May 2025 Edition

Mojo 🔥 couples Python‑level ergonomics with MLIR‑level performance. This document tracks the Mojo v25.3 manual (published 2025‑05‑06) and includes corrections up to the May 9 2025 errata.

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Table of Contents

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This configuration worked for me, hope it helps

It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b

and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support

Hardware

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__all__ = (
    ####### Class Objects

    #CoGetClassObject - Normal, not wrapped
    'CoDllGetClassObject', #Get ClassObject from a DLL file

    ####### ClassFactory::CreateInstance Wrappers

    'CoCreateInstanceFromFactory', #Create an object via IClassFactory::CreateInstance
    'CoCreateInstanceFromFactoryLicenced', #Create a licenced object via IClassFactory2::CreateInstanceLic

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import numpy as np
import pylab as pl
from numpy import fft
    
def fourierExtrapolation(x, n_predict):
    n = x.size
    n_harm = 10                     # number of harmonics in model
    t = np.arange(0, n)
    p = np.polyfit(t, x, 1)         # find linear trend in x
    x_notrend = x - p[0] * t        # detrended x

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To run a command as administrator (user "root"), use "sudo <command>".
See "man sudo_root" for details.

testlab@testlab-VirtualBox:~$ sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF
[sudo] password for testlab: 
Executing: /tmp/tmp.KcbNJmuzBI/gpg.1.sh --keyserver
hkp://keyserver.ubuntu.com:80
--recv-keys
3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF
gpg: requesting key D3D831EF from hkp server keyserver.ubuntu.com

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def openfile_dialog():
    from PyQt5 import QtGui
    from PyQt5 import QtGui, QtWidgets
    app = QtWidgets.QApplication([dir])
    fname = QtWidgets.QFileDialog.getOpenFileName(None, "Select a file...", '.', filter="All files (*)")
    return str(fname)

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Sources:

http://www.arxiv-sanity.com/top?timefilter=year&vfilter=all

https://scholar.google.com/scholar?hl=en&as_sdt=1%2C5&as_ylo=2017&q=machine+learning&btnG=

https://academic.microsoft.com/#/search?iq=@machine%20learning%202017@&q=machine%20learning%202017&filters=&from=0&sort=3

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Multiple selection with checkboxes and search field

Often, you want the user to choose n options (where n is small-ish) from a very large (hundreds or thousands) number of possibilities. Good UX around this dictates that the user should be able to search for the options they want.

This gist puts together a minimal example of binding a search field with multiple checkboxes using ipywidgets.

Usage