SUSE Package Hub 15 SP1 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP1-Backports-Pool Package Hub 15 SP1 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP1 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP1-Backports-Pool Package Hub 15 SP1 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP2 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP2-Backports-Pool Package Hub 15 SP2 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP2 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP2-Backports-Pool Package Hub 15 SP2 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP3 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP3-Backports-Pool Package Hub 15 SP3 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP3 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP3-Backports-Pool Package Hub 15 SP3 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP4 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP4-Backports-Pool Package Hub 15 SP4 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP4 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP4-Backports-Pool Package Hub 15 SP4 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP5 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP5-Standard-Pool Package Hub 15 SP5 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =) SUSE Package Hub 15 SP5 one-click install Install python-audiolazy NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP5-Standard-Pool Package Hub 15 SP5 Dummy repo - this will fail python-audiolazy Real-Time Expressive Digital Signal Processing (DSP) Package for Python! AudioLazy is a package written in pure Python proposing digital audio signal processing (DSP). It prioritizes code expressiveness, clarity and simplicity, without precluding the lazy evaluation, and can be used together with Numpy, Scipy and Matplotlib as well as default Python structures like lists and generators. It also features: - A ``Stream`` class for finite and endless signals representation with elementwise operators (auto-broadcast with non-iterables) in a common Python iterable container accepting heterogeneous data; - Strongly sample-based representation (Stream class) with easy conversion to block representation using the ``Stream.blocks(size, hop)`` method; - Sample-based interactive processing with ``ControlStream``; - ``Streamix`` mixer for iterables given their starting time deltas; - Multi-thread audio I/O integration with PyAudio; - Linear filtering with Z-transform filters directly as equations (e.g. ``filt = 1 / (1 - .3 * z ** -1)``), including linear time variant filters (i.e., the ``a`` in ``a * z ** k`` can be a Stream instance), cascade filters (behaves as a list of filters), resonators, etc.. Each ``LinearFilter`` instance is compiled just in time when called; - Zeros and poles plots and frequency response plotting integration with MatPlotLib; - Linear Predictive Coding (LPC) directly to ``ZFilter`` instances, from which you can find PARCOR coeffs and LSFs; - Both sample-based (e.g., zero-cross rate, envelope, moving average, clipping, unwrapping) and block-based (e.g., window functions, DFT, autocorrelation, lag matrix) analysis and processing tools; - A simple synthesizer (Table lookup, Karplus-Strong) with processing tools (Linear ADSR envelope, fade in/out, fixed duration line stream) and basic wave data generation (sinusoid, white noise, impulse); - Biological auditory periphery modeling (ERB and gammatone filter models); - Multiple implementation organization as ``StrategyDict`` instances: callable dictionaries that allows the same name to have several different implementations (e.g. ``erb``, ``gammatone``, ``lowpass``, ``resonator``, ``lpc``, ``window``); - Converters among MIDI pitch numbers, strings like "F#4" and frequencies; - Polynomials, Stream-based functions from itertools, math, cmath, and more! Go try yourself! =)