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Introduction When handling a large−scale project, you must first understand that a simple project management tool will only help manage some aspects of the project. Largescale projects have multiple deliverables that you need to acquire from different teams. Make sure that the deliverables and final product are bug−free. To avoid complications with the final product, you must organize a major project's timeframe and deliverables. Thus, major projects have multiple phases, which must be coordinated to satisfy client needs. The following are some of the large−scale project management best practices. Once you follow these practices, you can guarantee that you are ... Read More
Introduction Motorola introduced Six Sigma in the 1980s to bring down production costs without compromising the quality of the products. To a layperson, this might seem contradictory because, before Six Sigma, it was considered that the higher the investment better is the quality of the products. Six Sigma introduced new quality management methodologies that helped reduce wastage, rework, and improve resource allocation. This helped improve the quality of products and reduce the production cost. Here are some critical factors associated with Six Sigma and its applications. Immediate Impacts of Six Sigma Methodology in Quality Management If you think about the ... Read More
You generate random strings with upper case letters and digits in Python. Here are three different ways to do it: Using random.choices() and string.ascii_uppercase In this method, we will use the random.choices() function to randomly choose characters from the string.ascii_uppercase and string.digits strings to generate a random string. Example We first import the random and string modules, which we will use to generate random characters and create strings, respectively. We define the length of the random string we want to generate (in this example, it's 10). We define the possible characters that can be used to create the random string, ... Read More
There are several ways to extract numbers from a string in Python. One way to extract numbers from a string is to use regular expressions. Regular expressions are patterns that you can use to match and manipulate strings. Here's an example code snippet that uses regular expressions to extract all the numbers from a string: Using the re.findall() function Example In this example, we're using the re.findall() function to search for all occurrences of numbers in the text string. The regular expression \d+\.\d+|\d+ matches both floating-point numbers and integers. import re text = "The price of the book is $29.99" ... Read More
Importing modules is an essential part of programming in Python, and it's something you'll do a lot as you develop your skills. In Python, you can import multiple modules using a few different methods. Here are some examples of how to do it: Import each module on a separate line The simplest way to import multiple modules in Python is to import each one on a separate line. For example, suppose you want to import the math, random, and time modules. You could do it like this: Example This code tells Python to import the math, random, and time modules ... Read More
Here are some examples of how to delete a character from a string using Python. Using String Slicing One of the easiest ways to delete a character from a string in Python is to use string slicing. Here's how you can do it: Example In the first line of code, we define a string called "my_string" that contains the text "Hello World". In the second line of code, we remove the character "o" by creating a new string called "new_string". We do this by slicing the original string into two parts - the characters before the "o" and the ... Read More
PostgreSQL is an open-source, object-relational database management system that offers diverse data types to save data.The BLOB (Binary large object) data kind is one instance of this. It is used to keep large binary records, such as audio, video, and photograph files. We should first set up the psycopg2 package, which offers a Python interface for PostgreSQL, so as to work with PostgreSQL in Python. The pip package manager is used to install it. Syntax pip install psycopg2-binary After the installation of the psycopg2 library, we need to connect to our PostgreSQL database with Python. The ... Read More
Pandas is a Python Library that is used to explore and clean the messy datasets, and make the data suitable for extracting necessary and valuable insights. Dataframe in Pandas is a two-dimensional data structure which is very much similar to spreadsheets, SQL tables, and Excel Datasheets. We can use various methods to extract the particular column values. Using '.values.tolist()' method Using '.loc[]' method Using '.iloc[]' method Using 'get()' function ... Read More
Generating random integers in a DataFrame using Python's Pandas library is an instrumental data analysis and manipulation technique. By developing and inserting random integers into a DataFrame, you open up a world of possibilities for various applications. This functionality proves particularly valuable in tasks like data simulation, algorithm testing, and generating synthetic datasets. Familiarizing yourself with this feature will undoubtedly enhance the flexibility and versatility of your data analysis workflows. Method 1: Using the randint() function from NumPy The randint() function found in the NumPy library is commonly utilized to generate random integers within a designated range, in ... Read More
Automation and task scheduling play a crucial role in streamlining repetitive tasks in software development. Imagine having a Python script that needs to be executed every 5 minutes, such as fetching data from an API, performing data processing, or sending regular updates. Manually running the script at such frequent intervals can be time-consuming and prone to errors. That's where task scheduling comes in. In this blog post, we will explore how to schedule the execution of a Python script every 5 minutes, ensuring that it runs automatically without requiring manual intervention. We will discuss different approaches and libraries that can ... Read More