Job scheduling program in python

A curated list of ways to Integrate scheduled jobs into your Data science python Applications

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Job scheduling is a common programming challenge that most organizations and developers at some point must tackle in order to solve critical problems. This is further exacerbated by the proliferation of big data and training models…

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Timothy Mugayi

Tech Evangelist, Instructor, Polyglot Developer with a passion for innovative technology, Father & Health Activist

Suppose we have a list of intervals where each interval contains three values [start, end, profit]. We can perform only one task at a time, we have to find the most amount of profit we can get.

So, if the input is like intervals = [[1, 2, 100],[3, 5, 40],[6, 19, 150],[2, 100, 250]], then the output will be 350, as we can take these two intervals [1, 2, 100] and [2, 100, 250]

To solve this, we will follow these steps

  • d := an empty map that contains lists as values
  • n := 0
  • for each [start, end, profit] in intervals, do
    • if end > n, then
      • n := end
  • insert pair [start, end] into d[end]
  • A := a list of size n + 1 and fill with 0
  • for end in range 0 to size of A, do
    • if end is in d, then
      • for each [start, profit] pair in d[end], do
        • A[end] := maximum of A[end], [A[start] + profit] and A[end - 1]
    • otherwise,
      • A[end] := A[end - 1]
  • return last value of A

Example [Python]

Let us see the following implementation to get better understanding −

 Live Demo

from collections import defaultdict
class Solution:
   def solve[self, intervals]:
      d = defaultdict[list]
      n = 0
      for start, end, profit in intervals:
         if end > n:
            n = end
         d[end].append[[start, profit]]
      A = [0 for i in range[n + 1]]
      for end in range[len[A]]:
         if end in d:
            for start, profit in d[end]:
               A[end] = max[A[end], A[start] + profit, A[end - 1]]
         else:
            A[end] = A[end - 1]
      return A[-1]
ob = Solution[]
intervals = [[1, 2, 100],[3, 5, 40],[6, 19, 150],[2, 100, 250]]
print[ob.solve[intervals]]

Input

[[1, 2, 100],[3, 5, 40],[6, 19, 150],[2, 100, 250]]

Output

350

Updated on 12-Dec-2020 09:53:00

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How do you schedule jobs in Python?

Schedule lets you run Python functions [or any other callable] periodically at pre-determined intervals using a simple, human-friendly syntax. Schedule Library is used to schedule a task at a particular time every day or a particular day of a week. We can also set time in 24 hours format that when a task should run.

What is a job scheduling algorithm?

Job scheduling is the process of allocating system resources to many different tasks by an operating system [OS]. The system handles prioritized job queues that are awaiting CPU time and it should determine which job to be taken from which queue and the amount of time to be allocated for the job.

How do you solve job scheduling problems?

Follow the given steps to solve the problem:.
Sort all jobs in decreasing order of profit..
Iterate on jobs in decreasing order of profit.For each job , do the following : Find a time slot i, such that slot is empty and i < deadline and i is greatest.Put the job in. this slot and mark this slot filled..

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