Python developer salary July 2017

United States developers labor market analysis according to the results of July, 2017
07 August 2017   465
Python

Is a multi-paradigm programming language with easy-to-use syntax and many features including the support of the object-oriented and structured programming, created by Guido van Rossum and first released in 1991

We publish the analysis of the labor market of developers in the United States monthly. For Python developers there were 1,383 vacancies. The vacancy rates were distributed as follows. 

Salary Estimate Python July 2017  Python developer salary estimate 

The most of the developers are required in New York, NY; the least in Seattle, WA.

Number of vacancies in different cities Python July 2017  Number of Python developer vacancies in different cities

Among the companies that hire Python developers the leaders are: 

  • Smith & Keller
  • Jobspring Partners
  • Unlisted Company

Number of vacancies in different companies Python July 2017  Number of Python developer vacancies in different companies 

According to the experience required, the vacancies are distributed as follows.

Number of vacancies by experience level Python July 2017 Python developer vacancies by the experience level

The average salary and salary according to the level of experience were distributed as follows.

Average salary Python July 2017 Python developer average salary

The analysis was carried out by the Hype.codes portal method using the indeed.com data.

What is YAPF?

A formatter for Python files, developed by Google team
30 October 2017   448

What is YAPF?

Most of the current formatters for Python --- e.g., autopep8, and pep8ify --- are made to remove lint errors from code. This has some obvious limitations. For instance, code that conforms to the PEP 8 guidelines may not be reformatted. But it doesn't mean that the code looks good.

YAPF takes a different approach. It's based off of 'clang-format', developed by Daniel Jasper. In essence, the algorithm takes the code and reformats it to the best formatting that conforms to the style guide, even if the original code didn't violate the style guide. The idea is also similar to the 'gofmt' tool for the Go programming language: end all holy wars about formatting - if the whole codebase of a project is simply piped through YAPF whenever modifications are made, the style remains consistent throughout the project and there's no point arguing about style in every code review.

The ultimate goal is that the code YAPF produces is as good as the code that a programmer would write if they were following the style guide. It takes away some of the drudgery of maintaining your code.

Code examples

YAPF takes this code:

x = {  'a':37,'b':42,

'c':927}

y = 'hello ''world'
z = 'hello '+'world'
a = 'hello {}'.format('world')
class foo  (     object  ):
  def f    (self   ):
    return       37*-+2
  def g(self, x,y=42):
      return y
def f  (   a ) :
  return      37+-+a[42-x :  y**3]

and reformat it into:

x = {'a': 37, 'b': 42, 'c': 927}

y = 'hello ' 'world'
z = 'hello ' + 'world'
a = 'hello {}'.format('world')


class foo(object):
    def f(self):
        return 37 * -+2

    def g(self, x, y=42):
        return y


def f(a):
    return 37 + -+a[42 - x:y**3]

See GitHub for more information.