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Working with Excel Spread sheets in python

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  Introduction  Excel is a popular and powerful spread- sheet application for Windows. Python Course in Bangalore the openpyxl module allows your Python programs to read and modify Excel spreadsheet files. For example, you might have the boring task of copying certain data from one spreadsheet and pasting it into another one. Or you might have to go through thousands of rows and pick out just a handful of them to make small edits based on some criteria. Or you might have to look through hundreds of spreadsheets of department budgets, searching for any that are in the red. These are exactly the sort of boring, mindless spreadsheet tasks that Python can do for you. Excel Documents First, let’s go over some basic definitions: An Excel spreadsheet document is called a workbook. A single workbook is saved in a file with the .xlsx exten-sion. Each workbook can contain multiple sheets (also called worksheets). The sheet the user is currently viewing (or last viewed before closing Ex...

Reading and Writing File in python

  Reading and writing files are common operations in PythonVariables are a fine way to store data while your program is running, but if you want your data to persist even after your program has finished, you need to save it to a file. Python Training in Bangalore You can think of a file’s contents as a single string value,potentially gigabytes in size. In this you will learn how to use Python to create, read, and save files on the hard drive. Files and File Paths Files and file paths are essential concepts in programming, especially when dealing with file I/O operations. In Python,you often use the os module to work with file paths in platform-independent manner.  A file has two key properties: a filename (usually written as one word) and a path. The path specifies the location of a file on the computer. For example,there is a file on my Windows 7 laptop with the filename projects.docx in the path. C:\Users\asweigart\Documents. The part of the filename after the last period ...

Flow control in python

  Python program control flow is regulated by various types of  conditional statements, loops and function calls. Python Training in Bangalore By default, the instructions in a computer program are executed in a sequential manner, from top to bottom, or from start to end. However, such sequentially executing programs can perform only simplistic tasks. We would like the program to have a decision-making ability, so that it performs different steps depending on different conditions. Boolean Values Boolean values in Python are True and False . They are used to represent truth values and are the result of comparisons or logical operations Most programming languages including Python provide functionality to control the flow of execution of instructions. Normally, there are two type of control flow statements in any programming language and Python also supports them.While the integer, floating-point, and string data types have an unlimited number of possible values, (Boolean is cap...

Pattern Matching with Regular Expressions

  Pattern matching Zone matches text using specific criteria written in a programmatic syntax called RegEx ( shot for  regular expression(regex) is a powerful technique for finding, extracting, and manipulating text based on specific patterns. Top python training institute in bangalore the Zone makes use of a Microsoft . NET version of regular expressions. Regular expressions use a specific syntax to define these patterns and can be applied in many programming languages such as Python, JavaScript, Java, and others. Below, I'll cover the basics of regex syntax and provide some examples. Basic Components of Regular Expressions Key components of regular expressions include: Literals : The most basic component. It could be a simple letter, such as a or b, or a number like 1 or 2. When a literal character is used in a regex pattern, it matches the exact same character in the text. Here are some example Literals : Characters or sequences of characters that must be matched exactly. E...

Debugging in python

  These libraries help you with Python development the debugger enables you to step through code, analyze stack frames and set breakpoints etc., and the profilers run code and give you a detailed breakdown of execution times, allowing you to identify bottlenecks in your programs. Python Training in Bangalore d ebugging in Python can be approached through various methods and tools Here are some key strategies and tools for effective debugging Basic Debugging Techniques 01. Understanding the problem 02. Backtracing 03. Using debugging tools 04. Breakpoints and stepping 05. Binary search 06. Rubber ducking 07. Log analysis 08. Clustering bugs 09. Take breaks 10.Take notes for learning Raising Exceptions Best Python Training in Bangalore Raising exceptions in Python is an essential technique for handling errors and special conditions in a controlled manner is a technique for interrupting the normal flow of execution in a program, signaling that some exceptional circumstance has arisen...