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5959 "metadata" : {},
6060 "source" : [
61- " |[](https://tqdm.github.io/video) [](https://tqdm.github.io/PyData2019/slides.html)\n "
61+ " |[](https://tqdm.github.io/video) [](https://tqdm.github.io/PyData2019/slides.html) [](https://tqdm.github.io/merch) \n "
6262 " -|-\n "
6363 " \n "
6464 " It can also be executed as a module with pipes:"
273273 "metadata" : {},
274274 "outputs" : [],
275275 "source" : [
276- " ! find . -name '*.py' -type f -exec cat \\ {} \\ ; | tqdm --unit loc --unit_scale --total 4104300 >> /dev/ null"
276+ " ! find . -name '*.py' -type f -exec cat \\ {} \\ ; | tqdm --unit loc --unit-scale --total 4104300 -- null"
277277 ]
278278 },
279279 {
699699 " \n "
700700 " ### Keras Integration\n "
701701 " \n "
702- " ```python\n "
703702 " A `keras` callback is also available:\n "
704703 " \n "
704+ " ```python\n "
705705 " from tqdm.keras import TqdmCallback\n "
706706 " \n "
707707 " ...\n "
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