Sentence examples for code fixing from inspiring English sources

"In the coming weeks and months," he said, "I am looking forward to reaching out and working with leaders of both parties to meet the challenges we can only solve together: reducing our deficit, reforming our tax code, fixing our immigration system, freeing ourselves from foreign oil".

In his victory speech, the president said he was "looking forward to reaching out and working with leaders of both parties to meet the challenges we can only solve together: reducing our deficit, reforming our tax code, fixing our immigration system, freeing ourselves from foreign oil".

And in the coming weeks and months, I am looking forward to reaching out and working with leaders of both parties to meet the challenges we can only solve together -- reducing our deficit, reforming out tax code, fixing our immigration system, freeing ourselves from foreign oil.

With a small team behind them, Duran set about buying and planning, while Thomas König, a web developer in Austria, tweaked the code, fixing security problems.

The high rate of change in software development is due to the multitude of motivations for altering program code: fixing a bug, replacing an algorithm with a better one, changing the control flow in the program or using a more appropriate data structure, to name just a few.

Column (2) adds ZIP code fixed effects to control for unobserved characteristics that may affect the probability of being contacted.

As all of those payloads came in we needed to stabilize code, fix any integration issues, and ensure all of the new UX is polished.

For our algorithm, this quantity depends on two parameters related to the Guruswami-Sudan algorithm: Algorithm 1: Algorithm for embedding with locked positions using a code ( fixed).

Importantly, in the absence of postal code fixed effects the estimated effects of demographics on house price expectations would be biased.

In Tables 8 and 9 estimated postal code fixed effects are regressed on housing and labour market variables, in particular rates of return on housing and unemployment rates at the province level.

In all cost regressions, the explanatory variables are gender, age (linear, within each age category), dummies for each quarter, dummies for anthroposophy, homeopathy, and acupuncture, and 6-digit postal code fixed effects.