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Expanding HEP datasets and analysis challenges continues to give rise to advancing software within the ecosystem. The LHCb experiment has seen many analyzers make the change to Python-based analysis software tools, making use of many of the scikit and scikit-hep packages. Additional development of flavour-physics aimed packages is spearheaded by many users within the collaboration. A broad overview of the tools and specific applications of such tools is provided to encourage the discussion and growth within the PyHEP community.

SALT, a new dedicated readout Application Specific Integrated Circuit (ASIC) for the Upstream Tracker, a new silicon detector in the Large Hadron Collider beauty (LHCb) experiment, has been designed and developed. It is a 128-channel chip using an innovative architecture comprising a low-power analogue front-end with fast pulse shaping and a 40 MSps 6-bit Analog-to-Digital Converter (ADC) in each channel, followed by a Digital Signal Processing (DSP) block performing pedestal and Mean Common Mode (MCM) subtraction and zero suppression. The prototypes of SALT were fabricated and tested, confirming the full chip functionality and fulfilling the specifications. A signal-to-noise ratio of about 20 is achieved for a silicon sensor with a 12 pF input capacitance. In this paper, the SALT architecture and measurements of the chip performance are presented.