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Program to count operations to remove consecutive identical bits in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 370 Views

Suppose we have a binary string s, now let us consider an operation where we select a bit and flip its value from 0 to 1 or vice-versa. We have to find the minimum number of operations needed to get a string with no three identical consecutive bits. So, if the input is like s = "10011100", then the output will be 1, because we can flip 1 to 0 the bit at index 4 to make the string "10010100" where there are no three consecutive identical bits. Algorithm To solve this, we will follow these steps ...

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Program to define data structure that supports rate limiting checking for user in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 195 Views

Rate limiting is a technique used to control the frequency of requests from users. We need to design a data structure that tracks user requests and determines if a new request should be allowed based on an expiration time window. The data structure should support checking whether a user's request fails based on their previous successful request. A request fails (returns True) only when the user had a successful request within the expire time window. Problem Understanding Given an expire time, we need to: Track the last successful request timestamp for each user Check if a ...

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Program to define data structure that supports range sum in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 26-Mar-2026 314 Views

Suppose we want to develop a data structure that can build up with a list of integers, and there is a function to find sum of elements from index i to index j-1 whenever we require in an efficient way. There are two functions: Constructor that constructs a new instance with the integer array. get_sum(i, j) returns the sum of integers of array elements from starting index i and ending index j-1. So, if the input is like array = [5, 2, 3, 6, 4, 7, 8, 9, ...

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Python Pandas - Calculate the left slice bound that corresponds to given label

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 147 Views

In Pandas, the get_slice_bound() method calculates the slice bound position for a given label. To find the left slice bound, set the side parameter to 'left'. Syntax index.get_slice_bound(label, side='left', kind='loc') Parameters label − The value to find the slice bound for side − Either 'left' or 'right' to specify which bound kind − Either 'loc' or 'getitem' for different indexing behaviors Creating a Pandas Index First, let's create a Pandas Index with numeric values − import pandas as pd # Creating Pandas index index = pd.Index([10, 20, ...

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Python Pandas - Calculate the right slice bound that corresponds to given label

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 235 Views

To calculate the right slice bound that corresponds to a given label in Pandas, use the index.get_slice_bounds() method. Set the side parameter to right to get the right boundary index position. What is get_slice_bounds()? The get_slice_bounds() method returns the integer position that corresponds to a label in the index. When side='right', it returns the right boundary position for slicing operations. Syntax index.get_slice_bounds(label, side='right', kind='getitem') Parameters label − The label to find the slice bound for side − Either 'left' or 'right' to specify which boundary kind − The kind of slicing ...

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Python Pandas - Get integer location for requested label and find the nearest index value if no exact match

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 293 Views

The get_loc() method in Pandas returns the integer location of a label in an index. When an exact match isn't found, you can use the method="nearest" parameter to find the closest index value. Syntax index.get_loc(key, method=None, tolerance=None) Parameters key − The label to find method − Method to use for inexact matches ('nearest', 'pad', 'backfill') tolerance − Maximum distance for inexact matches Creating a Pandas Index First, let's create a Pandas index with some values ? import pandas as pd # Creating Pandas index index = pd.Index([10, ...

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Python Pandas - Get integer location for requested label and find the previous index value if no exact match

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 199 Views

To get the integer location for a requested label and find the previous index value if no exact match, use the get_loc() method with the method parameter set to "ffill" (forward fill). Syntax index.get_loc(key, method='ffill') Creating a Pandas Index First, let's create a Pandas Index with some integer values − import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50, 60, 70]) print("Pandas Index...", index) Pandas Index... Int64Index([10, 20, 30, 40, 50, 60, 70], dtype='int64') Finding Exact Matches When the ...

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Python Pandas - Get integer location for requested label

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 522 Views

To get the integer location for a requested label in Pandas, use the index.get_loc() method. This method returns the zero-based position of a label within the index. Syntax index.get_loc(key) Parameters: key − The label for which to find the integer location Basic Example Let's create a Pandas index and find integer locations for specific labels ? import pandas as pd # Create Pandas index object index = pd.Index(list('pqrstuvwxyz')) # Display the Pandas index print("Pandas Index...") print(index) # Get integer location from the given index print("Integer location ...

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Python Pandas - Getting values from a specific level in Multiindex

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 6K+ Views

To get values from a specific level in MultiIndex, use the get_level_values() method in Pandas. This method extracts all values from a particular level of a hierarchical index structure. Creating a MultiIndex First, let's create a MultiIndex with multiple levels using from_arrays() ? import pandas as pd # Create a multi-index with 4 levels multiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]], ...

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Python Pandas - Compute indexer and mask for new index even for non-uniquely valued objects

AmitDiwan
AmitDiwan
Updated on 26-Mar-2026 194 Views

To compute indexer and mask for new index even for non-uniquely valued objects, use the index.get_indexer_non_unique() method. This method handles duplicate values in the index and returns both the positions of matches and missing values. Syntax The syntax for the get_indexer_non_unique() method is ? index.get_indexer_non_unique(target) Parameters target − An array-like object containing the values to search for in the index Return Value The method returns a tuple containing ? indexer − Array of indices where matches are found (-1 for missing values) missing − Array of indices ...

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