TechnoCoders

  Explore repository There is a Git repository named  food-scripts  consisting of a couple of food-related Python scripts. Navigate to the repository using the following command: cd ~/food-scripts content_copy Now, list the files using the  ls  command. There are three files named  favorite_foods.log ,  food_count.py , and  food_question.py . Let's explore each file. Use the  cat  command to view each file. favorite_foods.log : This file consists of a list of food items. You can view it using the following command: cat favorite_foods.log content_copy Output: food_count.py : This script returns a list of each food and the number of times the food appeared in the  favorite_foods.log  file. Let's execute the script  food_count.py : ./food_count.py content_copy Output: food_question.py : This prints a list of foods and prompts the user to enter one of those foods as their favorite. It then returns an answer of how many others in the list like that same food. Run the following comma

  1. A smaller screen means better portability.  Most laptops come in screen sizes that range from 11 to 17 inches. The entire system is sized to fit the display. That means smaller notebooks are lighter and more compact, and larger ones are bulkier. If you don't move the laptop much, a 15-inch model is fine. But if you plan to use the laptop on your lap or carry it around, a model with a 13- or 14-inch screen, like the  Dell XPS 13 , may provide the best balance between screen space and portability. Children under 12 will find it easier to handle a model with an 11.6- or 12.5-inch display.  Get a 17-inch laptop only if it's going to stay on your desk. 2. Get a resolution of at least 1080p.  If you can afford one (and they are available even for under $400), get a laptop with at least a  1920 x 1080 screen resolution , which is sometimes referred to as 1080 or "full HD" resolution. That number of pixels makes it easier to read web pages without scrolling and to stack

TABLE OF CONTENTS What Is Cloud Computing? Understanding Cloud Computing Types of Cloud Services Deployment Models Types of Cloud Computing Advantages of Cloud Computing  Disadvantages of the Cloud The World of Business What Is Cloud Computing? Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software. Rather than keeping files on a proprietary hard drive or local storage device, cloud-based storage makes it possible to save them to a remote database. As long as an electronic device has access to the web, it has access to the data and the software programs to run it. Cloud computing is a popular option for people and businesses for a number of reasons including cost savings, increased productivity, speed and efficiency, performance, and security. Understanding Cloud Computing Cloud computing is named as such because the information being accessed is found rem

  The Transformative Power of Artificial Intelligence: Shaping the Future In the realm of technological advancements, few innovations have captured the world's imagination as much as Artificial Intelligence (AI). From science fiction to reality, AI has become a powerful force driving transformative changes across various industries and sectors. Its significance cannot be overstated, as it has the potential to reshape the way we live, work, and interact with our surroundings. In this blog, we delve into the importance of AI and explore the profound impact it has on our society. 1. Enhancing Efficiency and Productivity: One of the most apparent benefits of AI is its ability to boost efficiency and productivity across industries. By automating repetitive tasks, AI liberates human resources to focus on more complex and creative endeavors. Businesses can streamline processes, optimize resource allocation, and make data-driven decisions faster, resulting in cost savings and increased com

Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python never ceases to surprise its users. Most data scientists are already leveraging the power of Python programming every day. Python is an easy-to-learn, easy-to-debug, widely used, object-oriented, open-source, high-performance language, and there are many more benefits to Python programming. Python has been built with extraordinary Python libraries for data science that are used by programmers every day in solving problems. Here today, We have curated a list of best 15 Python libraries that helps in Data Science and its periphery, when to use them, their advantages and best tutorials to learn them. For some Python Code you may follow this  GitHub Repository 1. Pandas Pandas is an open-source Python package that provides high-performance, easy-to-use data structures and data analysis tools for the labeled data in Python programming language. Pandas stand for Pyth

We have already seen some basic Git and linux Commands if you hadn't read it please read it first   Now Lets move on with some advance Commands  Command Explanation & Link git commit -a Stages files automatically git log -p Produces patch text git show Shows various objects git diff Is similar to the Linux `diff` command, and can show the differences in various commits git diff --staged An alias to --cached, this will show all staged files compared to the named commit git add -p Allows a user to interactively review patches to add to the current commit git mv Similar to the Linux `mv` command, this moves a file git rm Similar to the Linux `rm` command, this deletes, or removes a file There are many useful git cheatsheets online as well. Please take some time to research and study a few, such as this one . .gitignore files .gitignore files are used to tell the git tool to intentionally ignore some files in a given Git repository. For example, this can be useful for configuration

The HyperX Cloud Core with virtual 7.1 surround sound1 provides clear positional audio for a more immersive gaming experience. It also features signature HyperX memory foam and soft leatherette making it comfortable for long gaming sessions. The detachable noise-cancelling microphone keeps ambient sounds from interrupting your voice chat and can be removed when not in use. Cloud headsets are known for their legendary sound, comfort, and durability — optimized for the way you play Virtual 7.1 surround sound Advanced audio control box Signature HyperX comfort Durable aluminum frame Detachable noise-cancelling mic Multi-platform compatibility Brand HyperX Manufacturer Kingston Technology Corporation, 17600 Newhope Street, Fountain Valley, CA 92708 USA, Kingston Technology Corporation, 17600 Newhope Street, Fountain Valley, CA 92708 USA Model HX-HSCC-2-BK/WW Model Name HyperX Cloud Core + 7.1 Gaming Headset for PC, PS4, Xbox One, Nintendo Switch, and Mobile Devices (HX-HSCC-2-BK/WW) Model

  As more and more IT systems are outsourced, zeroing in the best cloud providers is critical to long-term success. The market is already vast, with different brands offering large numbers of services. Apart from the big providers like Microsoft, Amazon, and Google, there are also smaller niche players who provide bespoke services. With too many choices to opt from, you must put down the selection and procurement process appropriate as per the needs. The Right Time to Select a Cloud Service Provider It is significant to understand the requirements of a business before choosing a cloud service provider. Clarifying the specific needs and minimum expectations in advance while assessing providers ensures that they are compared against the requirement checklist and not against their competitors. It is a faster way to narrow down the list of providers.  With more clarity on the requirements such as technical, service, security, data governance and service management, you will be better pre

  Python   is one of the languages that is witnessing incredible growth and popularity year by year. In 2017, Stackoverflow calculated that python would beat all other programming languages by 2020 as it has become the fastest-growing programming language in the world. It is also considered one of the best programming languages for machine learning. So why is Python so popular? Let’s find out below: 1) Easy to Learn and Use Python language is incredibly easy to use and learn for new beginners and newcomers. The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages. When  Guido van Rossum  was creating python in the 1980s, he made sure to design it to be a general-purpose language. One of the main reasons for the popularity of python