Programming Articles - Page 317 of 3366

In general, for loop is used to execute/iterate a block of code a fixed number of times. And nested for loop is nothing but, iterating a block of code for x number of times, then we need to run another block of code within that code for y number of times. Nested for loop syntax for x in sequence: for y in sequence: inner loop outer loop The map is a built-in function in python that is used to iterate the items of a sequence and ... Read More

Dates can be in many formats like: “2009/05/13 19:19:30”, “May 13 2009 07:19PM", and “2009-05-13 19:19”. Python provides many modules to work with data related to date times. To read an unknown format of date strings into a python datetime object, we can use the python dateutil, datetime modules. The python datetime object is a single object that has all the information about the date and time objects. It represents the data related to the year, month, day, hours, mintunes, seconds, and time zones also. In this article below, we will see how to convert the unknown format strings to ... Read More

A Numpy array is an N-dimensional array also called a ndarray, it is a main object of the NumPy library. In the same way, the pandas series is a one-dimensional data structure of the pandas library. Both pandas and NumPy are validly used open-source libraries in python. Below we can see the one-dimensional numpy array. NumPy array array([1, 2, 3, 4]) The pandas Series is a one-dimensional data structure with labeled indices and it is very similar to a one-dimensional NumPy array. Pandas Series: 0 1 1 2 2 3 ... Read More

Both pandas and NumPy are validly used open-source libraries in python. Numpy stands for Numerical Python. This is the core library for scientific computing. A Numpy array is a powerful N-dimensional array object which is in the form of rows and columns. NumPy array array([[1, 2], [3, 4]]) Pandas provide high-performance data manipulation and analysis tools in Python, it allows us to work with tabular data like spreadsheets, CSV, and SQL data. And it has data structures like DataFrame and Series that are mainly used for analyzing the data. DataFrame is a 2-dimensional labeled data structure used to ... Read More

An array is a data structure that is used to store homogeneous elements in order. And the stored elements are identified by an index value or a key. Python doesn’t have a specific data structure to represent arrays. However, we can use the List data structure or Numpy module to work with arrays. In the article below, we will see how to reverse the elements of an array using the python built-in functions. Reverse the elements of an array means changing the order of array elements from front to back. Input Output Scenarios Let us now look at some ... Read More

An array is a data structure that is used to store elements of the same data type in order. And the stored elements are identified by an index value. Python doesn’t have a specific data structure to represent arrays. However, we can use the List data structure or Numpy module to work with arrays. In this article, we see multiple ways to get the index of the first occurrence of a specified item in the array. Input Output Scenarios Let us now look at some input output scenarios. Assume we have an input array with few elements. And in the ... Read More

An array is a collection of homogeneous data elements stored in an organized way. And each data element in the array is identified by an index value. Arrays in python Python does not have a native array data structure. So that, we can use the list data structure as an alternative to the arrays. [10, 4, 11, 76, 99] Also we can Python Numpy module to work with arrays. An array defined by the numpy module is − array([1, 2, 3, 4]) The indexing in python starts from 0, so that the above array elements are accessed ... Read More

An array is a data structure, which is used to store the collection of homogeneous data elements. And each element in the array is identified by an index value. Arrays in python Python does not have its own data structure to represent an array. However, we can use the list data structure as an alternative to the arrays. Here we will use list an array − [10, 4, 11, 76, 99] Python provides some modules also which are more appropriate, and the modules are Numpy and array modules. A Numpy array defined by the NumPy module is − ... Read More

An array is a data structure, which is used to store a set of homogeneous data elements. And it can have more than one dimension. 1D array − [1 2 3 4 5 6] 2D array − [[1 2 3] [4 5 6] [7 8 9]] Flattening an array means reducing the dimensionality of a Multi-dimensional array. In the article below we will discuss the python program to get the flattened 1D array. Here we will use List and NumPy arrays to represent a normal array. Because python does not have ... Read More

In programming, an array is a data structure that is used to store a collection of homogeneous data elements. And each element in the array is identified by a key or index value. Arrays in python Python doesn’t have a specific data type to represent arrays. Instead, we can use the List as an array. [1, 4, 6, 5, 3] Finding distinct elements from two arrays means, identifying the unique elements between the two given arrays. Input Output Scenarios Assume we have two arrays A and B with integer values. And the resultant array will have distinct elements ... Read More