You can learn about Operators in Python Programs with Outputs helped you to understand the language better. Also Read: Java Program to Convert Kilogram to Pound and Pound to Kilogram Python Programming – Expressions The expression consists of a combination of values, which can be constant values, such as a string (” Shiva ” ) or a number (12), and operators, which are symbols that act on the values in some way. The following are the examples of expression: 10 – 4 11 * ( 4 + 5 ) X – 5 a / b In other words, the expression consists of one or more operands and one or more operators linked together to compter a value. for example: a = 5 # assume a = 5 a + 2 is a larger expression that results in the sum of the value in the variable a is also an expression as is the constant 2 since they both represent the value. expression value, in turn, can act as Operands for Operators. For example, 9+6and 8+5+2 are two expressions that will result in a value of 15. taking another example, 6.0/5+(8-5.0) is an expression in which values of different data types are used.…
Introduction to Python Programming – Algorithms
You can learn about Introduction to Programming Using Python Programs with Outputs helped you to understand the language better. Also Read: Python Programming Examples with Output Introduction to Python Programming – Algorithms Algorithms A set of instructions that describes the steps to be followed to carry out an activity is called an algorithm or procedure for solving a problem. If the algorithm is written in the computer programming language, then such a set of instructions is called a program. The task of writing the computer program involves going through several stages. So, programming requires more than just writing programs. That means it requires writing algorithms, as well as testing the program for all types of errors. The algorithm is a stepwise presentation of the program in simple English. Characteristics of Algorithm (a) Language independent. (b) Simple, complete, unambiguous, step-by-step program flow. (c) No standard format or syntax required. (d) Helpful to understand problems and plan out solutions. Python Programming – Introduction to Python Interpreter and Program Execution Introduction to Python Programming – Programming Languages Introduction to Python Programming – Testing and Debugging Developing or Writing the Algorithms The process of developing an algorithm (to solve a specific problem) is a trial-and-error process…
Python Programming – Numbers
Python Programming – Numbers A number is an object in Python, and it is created when some value is assigned to it. The number data type is used to hold numerical data. Python language supports four different numeric data types as described below: • int (signed integers): Alike C/C++/Java, Python supports integer numbers, which are whole numbers positive as well as negative having no decimal point. • long (long integers): Similar to integers but with limitless size. In Python long integers are followed by a lowercase or uppercase L. • float (floating point real values): Alike C/C++/Java, Python supports real numbers, called floats. These numbers are written with-a decimal point or sometimes in a scientific notation, with exponent e such as 5.9e7 i.e. 5.9xl07, where e represents the power of 10. • complex (complex numbers) : Unlike C/C++/Java, Python supports complex data type. It holds complex numbers of the form x+iy, where x and y are floating-point numbers and i is iota representing the square root of -1 (imaginary number). Complex numbers have two parts where x is known as the real part and y is called the imaginary, part as it is with iota. Unlike C/C++/Java, in Python, the…
Python Programming – Arithmetic Operations On Array
You can learn about NumPy in Python Programs with Outputs helped you to understand the language better. Read Also: Python Program to Find Leaders in an Array/List Python Programming – Arithmetic Operations On Array NumPy is not only about efficient storing of data but also makes it extremely easy to perform the arithmetic operations on multi-dimensional arrays directly. In the following example, the arithmetic operations are performed on the two multi-dimensional arrays. Example Demo of arithmetic operations. import numpy as np a = np.array([[10,20,30], [10,15,4]]) b = np.array![[2,4,8] , [5, 19, 29]]) print(“Sum of array a and b\n”,a+b) print(“Product of array a and b\n”,a*b) print(“Division of array a and b\n”,a/b)RUN >>> Sum of array a and b [[12 24 38] [15 34 33]] Product of array a and b [[ 20 80 240] [ 50 285 116]] Division of array a and b [ [5. 5 . 3.75 ] [2. 0.78947368 0.13793103]] >>> Python Programming – Introduction To Numpy Python Programming – Array Creation Python Programming – Array Attributes Let’s Try import numpy as np x = np. array ( [ [12,16,15] , [10,15,4] ] ) y = np.array( [ [2,4,5], [5, 3, 2]]) print(“Sum of array\n”,x+y) print(“Product of array \n”,x*y) print(“Division…
Python Programming – Pattern Matching
You can learn about Functions in Python Programs with Outputs helped you to understand the language better. Also Read: Java Program to Convert Foot to Yard and Yard to Foot Python Programming – Pattern Matching Regular expressions, called regexes for short, are descriptions for a pattern of text. A regular expression in a programming language is a special text string used for describing a search pattern. It is extremely useful for extracting information from text such as code, files, logs, spreadsheets, or even documents. They are used at the server side to validate the format of email addresses or passwords during registration, used for parsing text data files to find, replace or delete certain strings, etc. It is also used for webpage “Scraping” (extract a large amount of data from websites). In Python, a regular expression is denoted as RE (REs, regexes, or regex pattern) are imported through re module, “re” module included with Python primarily used for string searching and manipulation. In order to use the search ( ) function, you need to import re first and then execute the code. >>> import re Python Programming – Types Of Functions Python Programming – How To Start Python Python Programming – Expressions…
Python Programming – Running Python
Python Programming – Running Python Also Read: Graph Theory Questions and Answers Running Python There are three different ways to start Python: Interactive Interpreter Script from the Command Line Integrated Development Environment Interactive Interpreter You can start Python from DOS, Unix, or any other system that provides you a command-line interpreter or shell window. Enter python at the command line, which opens python interpreter as displayed in Fig. 1.3. It displays information about the Python version, i.e, 3.5.1., the date it was released, and a few options of what can be pursued next. Here is the list of all the available command-line options in Table 1.1.: Option Description -d provide debug output -o generate optimized bytecode (resulting in .pyo files) -s do not run import site to look for Python paths on startup -V verbose output (detailed trace on import statements) -X disable class-based built-in exceptions (just use strings); obsolete starting with version 1.6 -c cmd run Python script sent in as cmd string File run Python script from given file How to Run a Python Script via a File or the Shell Python Setup Using the Python Interpreter Script from the Command-line A Python script can be executed at…
Python Programming – Counting The Frequency Of Elements In A List Using A Dictionary
You can learn about Dictionaries in Python Programs with Outputs helped you to understand the language better. Also Read: Java Program to Print nth Element of the Array Python Programming – Counting The Frequency Of Elements In A List Using A Dictionary Dictionaries can be used wherever you want to store attributes and values that describe some concept or entity. For example, you can use the dictionary to count instances of particular objects or states. Since each key must have a unique identifier, there cannot be duplicate values for the same key. Therefore, you can use the key to store the items of input data, leaving the value part to store the results of our calculations. For example, suppose you want to find out the frequency of each letter in a sentence, such as “A computer is a machine.” You could iterate through the characters of the sentence and assign each one to a key in the dictionary. Example Program using a dictionary to iterate through the characters. # Program using dictionary to iterate through the characters sentence = “Computer is a machine.” characters = { } for character in sentence: characters[character] = characters.get(character,0) + 1 print(characters)RUN >>> { ‘ C’ :…
Python Programming – Features of Python
Python Programming – Features of Python The Python language exhibits numerous features, which are detailed as under: Beginner’s Language: Python is a great language for beginner-level programmers, which supports the development of a wide range of applications from simple text processing to web browsers to games. 2. Easy to Learn: Python has a simple structure, a few keywords, and clearly defined syntax. Easy to Read: It is a clearly defined language that is a non-programmer understands very easily. 3. Easy to Maintain: The source code of the Python language is quite easy to maintain. Interpreted: It is an interpreter-based language. The programmer does not need to compile the code before executing the program similar to PERL and PHP. Python has a built-in debugging feature. 4. Interactive: Python programs can be directly written to the Python prompt by which the user directly interacts with the interpreter. Python Programming – Python Documentation Python Programming – Python differences from other languages Python Programming – Python Modules 5. Object-Oriented: It supports the object-oriented style of programming that encapsulates code within objects. OOP breaks up code into several units that pass messages back and forth using classes. 6. Versatile: Python modules are capable to work…
Python Programming – Variable
You can learn about Introduction to Python Programming Programs with Outputs helped you to understand the language better. Python Programming – Variable A variable is basically a name that represents (or refers to) some value. For example, you might want the name x to represent 5. To do so, simply execute the following: >>> x = 5 This is called an assignment. You assign the value 5 to the variable x. In other words, you bind the variable x to the value (or object) 5. After you have assigned the value to the variable, you can use the variable in expressions: >>> x * 2 10 A value is one of the basic things a program works with, like a letter or a number. These values belong to different types, such as 7 is an integer, 3.5 is float (number with decimal point), and ‘Hello, Python’ is a string, as it contains a string of letters. Variable is a name that refers to a value. Python Programming – Identifiers Python Programming – Flowcharts for Sequential, Decision-Based and Iterative Processing Introduction to Python Programming – The Basic Model Of Computation The notion of a Variable In Python, a name refers to an object.…
Python Programming – Creation, Initialization and Accessing The Elements In A Dictionary
You can learn about Dictionaries in Python Programs with Outputs helped you to understand the language better. Python Programming – Creation, Initialization and Accessing The Elements In A Dictionary A collection that allows us to look up information associated with arbitrary keys is called mapping. Python dictionaries are mappings. Some other programming languages provide similar structures called hashes or associative arrays. The dictionary can be created in Python by listing key: value pairs inside curly braces. A simple dictionary shown in Figure 9.1 stores some usernames and passwords. # Creating a Dictionary >>> password = {“Aman”:”101″, “Preeti”:”204″, “Babita”:”107″} Notice that keys and values are joined together with a and commas are used to separate the pairs. The main use of the dictionary is to look up the value associated with a particular key. This is done through indexing notation. More than one entry per key is not allowed, which means no duplicate key is allowed. Dictionaries are collections of data that associate a unique key with each value. An empty dictionary (without any items) is written with just two curly braces, like this: { }. >>> dict1 = { } # it is an empty dictionary with no elements >>> dict1 {…