Todays challenge was quite simple:
Part 1:
To solve the problem we had to
- create 2 lists of numbers from the string input,
- order them ascending
- foreach number in List1 get the same index in List2 and find the distance between the two numbers.
- and then sum the distances up
Easy Right.
Part 2:
This was a little trickier but the main concept of my solution was :
create a dictionary where the key is the number in listA, the value used the Count() method to count all the numbers in listB that were the same as the key (number at same index as listA).
then it’s just a simple case of multiplying the keys by the values and summing the totals.
Csharp Parts 1 and 2:
var input = File.ReadAllLines("./input_1.txt") .Select(s => s.Split([' '], StringSplitOptions.RemoveEmptyEntries)).ToList(); var lists = ProcessLines(input); Part1(lists.list1, lists.list2); Part2(lists.list1, lists.list2); return; void Part1(List<int> list1, List<int> list2) { var ordered1 = list1.OrderBy(x => x).ToList(); var ordered2 = list2.OrderBy(x => x).ToList(); var totals = ordered1 .Select((t, i) => Math.Abs(t - ordered2[i])) .Select(difference => (long)difference) .ToList(); Console.WriteLine("Sum of differences: " + totals.Sum()); } void Part2(List<int> list1, List<int> list2) { var counts = list1.ToDictionary( number => number, number => list2.Count(x => x == number) ); var sum = counts.Sum(x => x.Value * x.Key); Console.WriteLine("Sum of counts: " + sum); } (List<int> list1, List<int> list2) ProcessLines(List<string> rows) { var list1 = new List<int>(); var list2 = new List<int>(); foreach (var row in rows) { list1.Add(int.Parse(row[0])); list2.Add(int.Parse(row[1])); } return (list1, list2); } </int></int></string></int></int></int></int></int></int>
Part 1 - Python
Same concept different syntax - lot
More concise using the built-in zip function, and list comprehension functionality.
def get_steps(list1, list2): totals = [abs(value - partner_item) for value, partner_item in zip(list1, list2)] print("Sum Total:", sum(totals)) def read_input(file_name): list1, list2 = zip(*((int(num1), int(num2)) for num1, num2 in (line.split() for line in open(file_name)))) return sorted(list1), sorted(list2) list1, list2 = read_input("input.txt") get_steps(list1, list2)
Part 2 - In Progress (it got late)⏰
The above is the detailed content of AoC '- Day Historian Hysteria (C# & Python) #Spoilers. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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