All Assignment Experts, provide best-in-class Python assignment help. Our Python programming experts have so far solved numerous Python assignments for students in the USA, UK, Canada, Australia, UAE and other countries globally. The clock availability of our Python experts has ensured that students receive instant help with Python homework. Our programming experts have deep expertise with Python concepts and their applications and thus can solve Python assignments with a short turnaround time. Our python homework help services stretch across the academic levels i.e. Undergraduate, Graduate and Post-graduate. We are the leading online programming solution provider with quality, reliable yet affordable Python assignment help. Python is a popular programming language that is widely used in the industry for various purposes such as data analysis, web development, and machine learning. It is a versatile language that can be used for both simple and complex tasks, making it a great choice for students who are learning to code. However, with the increasing popularity of Python, the demand for Python assignment help and Python homework help has also increased. Python assignment assistance is a service that assists students in completing their Python assignments. These assignments can be difficult, especially for students who are new to the language, and may necessitate a significant amount of time and effort to complete. Python assignment help allows students to receive expert guidance and assistance in completing their assignments, ensuring that they understand the concepts and can apply them correctly.
Python also has wide academic applications and students across almost all universities need to solve Python assignments and homework. If you are one of the students who need Python Assignment Help then you must reach out to our programming experts as they provide clean and well-commented python codes. Before we discuss more academic services, let us first learn Python Programming.
Python programming was developed in the 1980s by Guido van Rossum. Python can be defined as a high-level object-oriented programming language that offers dynamic typing and dynamic binding options. Python helps programmers to work collaboratively and reduces the cost of program development and maintenance. The modules and packages feature of python makes it easy for the same program to be reused in multiple projects, thus making python one of the most widely used software globally. Python finds its applications in data science, data analysis, software development, web development, system scripting, big data, machine learning, artificial intelligence etc.
The latest Python 3.7, released in 2018 has many new features compared to Python 3.6. It has new syntax features like PEP 563, and new library modules: PEP 567 (context vars) and PEP 557 (data classes). The Python data model improvements which help customization of access to module attributes (PEP562) and core support for typing module (PEP 560) are the best thing any programmer would have asked for. There have been significant improvements in CPython implementation and standard library. This makes the latest python version, one of the most popular programming languages.
The key features of Python as a programming language are explained below.
Standard Library: Python programming language has a standard library with several components, similar to those of C++ and other advanced programming languages that developers can use while programming. This was achieved while using a language syntax that is approachable and simple. Python can easily be used for general purpose and web applications due to the many data types that are built-in, advanced handling of exceptions, interactivity of database and a file-based input/output that is comprehensive. A lot of application programmers have been aided by Python when they wanted to switch to developing web applications. Our online Python experts will help you to master Python programming.
Object-Oriented Programming: Python is an object-oriented programming language, making it a great programming language for learners. Beginners can start to learn Python programming and then easily switch to other programming languages that are also object-oriented. Python comes with object-oriented methodologies, reinforces structure for good programming and is intuitive. This is a very good language to code since it is object-oriented.
Portability: There are several features in Python programming language which make it an option that is very attractive for the development of web applications. The availability of Python interpreters in every recent operating system as well as some computing systems that are embedded makes the Python programming language portable.
Stability: Since the Python programming language was developed in the 1980s, a lot of improvement has been carried out on it. Several regression and extensive functionality testing have been carried out on the programming language so that they are stable and remain free of bugs.
Readability: The syntax for programming in Python is simple and thus the coding language can be understood easily by PYTHON writers. Based on this, it is possible to use Python as a prototype, which after the code has been tested, can be run with the aid of other languages for programming. If you need PYTHON homework help we are there.
Integration Capabilities: Python comes with a lot of integration capabilities. Some of the most important among them include:
Solving the Python assignment or preparing a Python project needs the application of all such features. All of our Python tutors are well versed in Python features and provide instant Python help for graduate and postgraduate students. They follow the simplistic approach to prepare the solutions and thereby ensure excellent grades for the students. We as a leading online Python services provider, aim to enhance the overall understanding of the students rather than focusing only on providing solutions.
Students nowadays are supposed to solve several assignments across the subject areas. They need to spend a good amount of time on assignment writing amidst of other quizzes and exams. Assignment writing in addition to the extensive research put a lot of stress on students and most of the students get overwhelmed by it. We, at All Assignment Experts, aim to de-stress students from the worries of multiple assignment writing by providing best-in-class Python assignment help. Through Python project help; we strive to guide students to prepare complex project solutions by helping them in choosing the project topics as well as by providing well-commented codes and a written report. Key topics on which we have provided Python assignment and project help are:
|Lexical Conventions and Syntax||EPM Package Manager|
|SNMP Device Control||Console Scripts|
|Object Oriented Programming||DNS Management using Python|
|Web Programming||String Pattern Matching|
|Solaris Systems Administration||Queues|
|Zenoss Related Enterprise SNMP Integration||Errors And Exception Handling|
|Cross-Platform Unix Programming||Browser And Session|
|Python Integration Primer||Data Compression|
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Python homework assistance, on the other hand, is a service that assists students in completing their Python homework. Homework is often more open-ended and requires students to apply what they have learned in class to real-world problems, making it even more difficult than assignments. Students can get expert guidance and support in completing their homework with Python homework help, ensuring that they have a solid understanding of the concepts and are able to apply them correctly. The demand for Python assignment and homework help is not limited to just one country, and students from all around the world can benefit from these services. In the USA, for example, students often struggle with the high academic standards and the fast pace of the curriculum. They may not have enough time to devote to their Python assignments and homework and may need extra help to keep up with the workload.
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Problem (define (problem blackbox planner) (:domain blackbox planner) (:objects G H X Grid table(5x5)) (:init Location: ((5,1)(5,2)(4,1)(4,2)(4,3)(3,4)(1,2)(1,5)) Inaccesable (G in Grid table, Location(4,4)) (H in Grid table Location(2,1)) (X in Grid table Location(3,3)) (clear G) (clear H) (clear X) ) (:goal (and (at X G ) (at G H))) )
Node import heapq class Node(object): """ Represent state of board in 8 puzzle problem. """ n = 0 def __init__(self, board, prev_state = None): assert len(board) == 9 self.board = board[:]; self.prev = prev_state self.step = 0 Node.n += 1 if self.prev: self.step = self.prev.step + 1 def __eq__(self, other): """Check wether two state is equal.""" return self.board == other.board def __hash__(self): """Return hash code of object. Used for comparing elements in set """ h = [0, 0, 0] h = self.board << 6 | self.board << 3 | self.board h = self.board << 6 | self.board << 3 | self.board h = self.board << 6 | self.board << 3 | self.board h_val = 0 for h_i in h: h_val = h_val * 31 + h_i return h_val def __str__(self): string_list = [str(i) for i in self.board] sub_list = (string_list[:3], string_list[3:6], string_list[6:]) return "\n".join([" ".join(l) for l in sub_list]) def manhattan_distance(self): """Return Manhattan distance of state.""" #TODO: return Manhattan distance distance = 0 goal = [1,2,3,4,5,6,7,8,0] for i in range(1,9): xs, ys = self.__i2pos(self.board.index(i)) xg, yg = self.__i2pos(goal.index(i)) distance += abs(xs-xg) + abs(ys-yg) return distance def manhattan_score(self): """Return Manhattan score of state.""" #TODO: return Manhattan score of state return 0 def hamming_distance(self): """Return Hamming distance of state.""" #TODO: return Hamming distance distance = 0 goal = [1,2,3,4,5,6,7,8,0] for i in range(9): if goal[i] != self.board[i]: distance += 1 return distance def hamming_score(self): """Return Hamming distance score of state.""" #TODO return Hamming score of state return 0 def next(self): """Return next states from this state.""" next_moves =  i = self.board.index(0) next_moves = (self.move_up(i), self.move_down(i), self.move_left(i), self.move_right(i)) return [s for s in next_moves if s] def move_right(self, i): x, y = self.__i2pos(i) if y < 2: right_state = Node(self.board, self) right = self.__pos2i(x, y+1) right_state.__swap(i, right) return right_state def move_left(self, i): x, y = self.__i2pos(i) if y > 0: left_state = Node(self.board, self) left = self.__pos2i(x, y - 1) left_state.__swap(i, left) return left_state def move_up(self, i): x, y = self.__i2pos(i) if x > 0: up_state = Node(self.board, self) up = self.__pos2i(x - 1, y) up_state.__swap(i, up) return up_state def move_down(self, i): x, y = self.__i2pos(i) if x < 2: down_state = Node(self.board, self) down = self.__pos2i(x + 1, y) down_state.__swap(i, down) return down_state def __swap(self, i, j): self.board[j], self.board[i] = self.board[i], self.board[j] def __i2pos(self, index): return (int(index / 3), index % 3) def __pos2i(self, x, y): return x * 3 + y class PriorityQueue: def __init__(self): self.heap =  self.count = 0 def push(self, item, priority): # FIXME: restored old behaviour to check against old results better # FIXED: restored to stable behaviour entry = (priority, self.count, item) # entry = (priority, item) heapq.heappush(self.heap, entry) self.count += 1 def pop(self): (_, _, item) = heapq.heappop(self.heap) # (_, item) = heapq.heappop(self.heap) return item def isEmpty(self): return len(self.heap) == 0
from sys import argv from time import time from node import * class Searcher(object): def __init__(self, start, goal): self.start = start self.goal = goal def print_path(self, state): path =  while state: path.append(state) state = state.prev path.reverse() print("\n-->\n".join([str(state) for state in path])) def steepest_ascent_hill_climbing(self): """Run steepest ascent hill climbing search.""" #TODO Implement hill climbing. stack = [self.start] while stack: state = stack.pop() if state == self.goal: self.print_path(state) print "Find solution" break h_val = state.manhattan_distance() + state.hamming_distance() next_state = False for s in state.next(): h_val_next = s.manhattan_distance() + s.hamming_distance() if h_val_next < h_val: next_state = s h_val = h_val_next if next_state: stack.append(next_state) else: self.print_path(state) print "Cannot find solution" # I don't know this function def hill_climbing(self): """Run hill climbing search.""" #TODO Implement hill climbing. stack = [self.start] while stack: state = stack.pop() if state == self.goal: self.print_path(state) print "Find solution" break h_val = state.manhattan_distance() + state.hamming_distance() next_state = False for s in state.next(): h_val_next = s.manhattan_distance() + s.hamming_distance() if h_val_next < h_val: next_state = s h_val = h_val_next stack.append(next_state) break if not next_state: self.print_path(state) print "Cannot find solution" if __name__ == "__main__": script, strategy = argv print("Search for solution\n") start = Node([2,0,1,4,5,3,8,7,6]) goal = Node([1,2,3,4,5,6,7,8,0]) #print start.hamming_distance() #print start.manhattan_distance() search = Searcher(start, goal) start_time = time() if strategy == "hc": search.hill_climbing() elif strategy == "sahc": search.steepest_ascent_hill_climbing() else: print "Wrong strategy" end_time = time() elapsed = end_time - start_time print "Search time: %s" % elapsed print "Number of initialized node: %d" % Node.n
To summarise, Python is a versatile language that is widely used in industry, making it an excellent choice for students learning to code. However, as Python's popularity grows, so does the demand for Python assignment and homework help. Python assignment help and Python homework help are services that assist students in completing their assignments and homework, ensuring that they understand and can apply the concepts correctly. With the right assistance, you can not only successfully complete your Python assignments and homework, but also gain a deeper understanding of the language and its applications.
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