#pythonpower

[bloggerbapu]

https://bloggerbapu.com/3-reasons-everyone-learn-programming/

Unlock the power of the digital age by mastering computer programming! From coding and software development to cutting-edge fields like artificial intelligence, machine learning, and data science, these essential technology skills can transform the way we live and work. Shape the future with automation, fuel innovation through digital transformation, and open doors to exciting careers in cybersecurity, web development, and more. With tools like Python programming, you'll be ready to lead in the ever-evolving tech industry. The future is tech—are you ready? Embrace STEM education and start building your tomorrow today! https://bloggerbapu.com/3-reasons-everyone-learn-programming/ #FutureOfTech #CodeYourFuture #AIRevolution #CloudComputing #DataScience #CyberSecurity #PythonPower #TechInnovation #STEMEducation #Automation #WebDevelopment #DigitalTransformation #MachineLearning #FutureReady #Softwaredevelopment

[amigoways]

🚀 Unlock the Power of Python Development for Your Business! ✨ Versatile and perfect for various applications, Python allows for quick prototyping with its simple syntax and dynamic typing. With an extensive library ecosystem, it runs seamlessly across multiple platforms and scales with your business needs. Harness Python’s potential today!

Contact us for expert development services.💼 www.amigoways.com/python-development-services-in-india

[techaircraft]

Techaircraft

💻 Unlocking Possibilities with Python.

Python is the ultimate tool for innovation and efficiency, from automating daily tasks to creating groundbreaking applications. Its simplicity and versatility make coding a joy, whether you're a beginner or a pro. Embrace the power of Python to streamline workflows, analyze data, and bring your ideas to life. With a supportive community and endless resources, there's no limit to what you can achieve. Dive into the world of Python and start building your future today! . 𝐖𝐞𝐛𝐬𝐢𝐭𝐞 - www.techaircraft.com

𝐓𝐞𝐜𝐡𝐚𝐢𝐫𝐜𝐫𝐚𝐟𝐭 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬:

𝐌𝐨𝐛𝐢𝐥𝐞 𝐍𝐮𝐦𝐛𝐞𝐫 - 8686069898

#PythonProgramming#CodeLife#TechInnovation#Programming#TechCommunity#PythonPower#CodingJourney#SoftwareDevelopment

[hottagpins]

Latest additions to the Pop collection. Python Power Hulk Hogan, The Fiend Bray Wyatt, and the big 6” Andre the Giant! #funko #funkopop #wwepop #popfunko #hulkhogan #pythonpower #thefiend #braywyatt #thefiendbraywyatt #andrethegiant https://www.instagram.com/p/B9Nm1rEJxCo/?igshid=1gmd4r8nj59zw

[iamreico]

WWEの箱…です。 Hulk Hogan いい顔してるね〜。 #HulkHogan #PYTHONPOWER #アメリカの国民的プロレス団体 #WWE #ビンスマクマーン #USA #america #プロレス #ショー #ヴィンテージ #BOX #プロレスファン必見 #1991 #プロレス苦手です #ごめんなさい

[linuxawesome]

Switching from a Mac mini 2012 to an Intel NUC8i5BEK and Ubuntu. ☞ https://medium.com/@pythonpow/switching-from-a-mac-mini-2012-to-an-intel-nuc8i5bek-and-ubuntu-f7a83d362cf0 #linux #programming

[skilluponlinesblog]

Data Visualization with Python: Why you should learn

The act of transforming raw data into a graphical representation that is simple to understand and analyze is known as data Visualization. It is an essential tool for data analysis and can make it easier to spot patterns, trends, and outliers in data that might otherwise be hard to find. In this article, we'll go through the benefits of learning Python for data Visualization and how it can advance your career.

Visualization of Data: Its Importance

Making sense of huge, complex datasets requires the use of data Visualization. It makes it possible for you to swiftly spot patterns and trends in data that might otherwise be challenging to find. A line chart, for example, could be used to depict the trend in sales over time if you were studying sales data. This would make it simple for you to spot any patterns or trends in the data, like an increase in sales during a specific month.

The dissemination of data insights to others is aided by data Visualization. It is simple to show data in a form that is understandable and easy to interpret using graphs and charts. When engaging with stakeholders that might not have a strong technical background, this is very crucial. They will be able to comprehend the insights and make wise decisions if the data is presented in a visual way.

The Benefits of Learning  Data Visualization with Python

Powerful programming languages like Python are frequently used for data analysis and Visualization. Python offers a large selection of libraries and frameworks, which is one of its key advantages for data Visualization. With little effort, these libraries make it simple to produce high-quality Visualizations. The most well-known Python data Visualization libraries are Matplotlib, Seaborn, and Plotly. In contrast to Seaborn, which is developed on top of Matplotlib and offers a more sophisticated set of Visualization features, Matplotlib is a commonly used toolkit for producing static plots and charts. Plotly is a library that makes it simple to embed interactive Visualizations into web pages. The fact that Python is a flexible language that can be applied to a variety of tasks is another advantage of utilizing it for Data Visualization. Along with data Visualization, it can be used for data cleansing, data manipulation, and machine learning. This makes utilizing a single language for all of the tasks involved in data analysis more effective than using several different languages. Additionally, Python has a sizable and vibrant community that offers assistance and materials for the language's study and application. Through forums and online guides, this community offers assistance and support while also helping to develop libraries and frameworks. Python Data Visualization Library MatplotlibThe most popular Python data Visualization library is Matplotlib. It offers a variety of tools, like as line plots, scatter plots, bar charts, and histograms, for making static plots and charts. You may easily alter the look of your plots and charts in the library to fit your requirements. SeabornOn top of Matplotlib, the Seaborn library offers a more sophisticated set of Visualization capabilities. It offers a number of built-in functions for making plots including heatmaps, violin plots, and box plots, and is especially useful for visualizing statistical data. Additionally, Seaborn offers a variety of pre-installed themes that you may apply to alter the way your plots look. PlotlyPlotly is a library that makes it simple to embed interactive Visualizations into web pages. Bar charts, scatter plots, line plots, and heatmaps are just a few of the numerous tools the library offers for making plots and charts. Making dynamic Visualizations that are simple to share and watch online is one of the key advantages of utilizing Plotly. As a result, it's a fantastic choice for making dashboards and Visualizations that are accessible to many users. Plotly also supports 3D Visualizations, enabling the creation of more interactive and captivating Visualizations. The use of Python for data Visualization also makes it simple to integrate it with other programs and applications. Utilizing a tool like Matplotlib or Seaborn, for instance, you may use Python to clean and edit data before using it to produce Visualizations. In addition, Jupyter Notebooks, a well-liked tool for data analysis and Visualization, allows you to utilize Python to build Visualizations.

Enroll in the Expert-Led Python Data Visualization Course at SkillUp Online to Unlock the Power of Data Visualization

The

Data Visualization with Python course

offered by SkillUp Online is a fantastic method to get the knowledge required to produce Python visuals of the highest caliber. The course is intended for people new to data Visualization and those with little to no prior expertise. Along with the most widely used libraries for data Visualization, including Matplotlib, Seaborn, and Plotly, it covers the fundamentals of Python programming. Experts in data Visualization who have years of expertise teaching the course will walk you through the creation of visuals step by step. You will discover how to import and purify data, make plots and charts, and alter the look of your Visualizations. The course also covers building Visualizations in Jupyter Notebooks and utilizing Plotly for interactive Visualizations. The fact that the Data Visualization with Python course from SkillUp Online is self-paced and can be finished on your own time is one of its key advantages. Furthermore, you will be able to apply what you have learned to actual situations thanks to the course's practical exercises and projects. You'll have a chance to hone your abilities and make your own visions thanks to this.

Conclusion

Data visualization is an essential tool for data analysis, and Python is a powerful language that is well-suited for creating visualizations. By learning data visualization with Python, you will be able to create high-quality visualizations with minimal effort and gain a valuable skill that can benefit your career. With the wide range of libraries available, you can create a variety of different visualizations, whether it be interactive or static, 2D or 3D. Furthermore, the large and active Python community provides support and resources that make it easy to learn and use the language. So, if you haven't already, start learning data visualization with Python today!

Source: https://penzu.com/p/f479be31

[raymondmccullers]

How Many Homes Could You Power With Free Doughnuts?

Should you get a COVID vaccine? Yes, it will protect you AND protect others to help us move past this pandemic so we can get back to a more normal life. But wait! If you get vaccinated, you can also get a doughnut! At least that’s the deal that Krispy Kreme Doughnuts is offering. Once you get your vaccine, you get a doughnut. Oh, it’s not just one doughnut—it’s one doughnut every day. That’s a lot of doughnuts. OK, so how about some physics estimations to go along with your tasty doughnut? Let’s say that all the Americans that have a COVID vaccine get (and eat) one doughnut a day. Of course eating food gives you energy to do stuff—that’s how food works. So, suppose that all these humans eat their doughnut and then use the extra energy to peddle a stationary bike. All of these bikes are then connected to generators so that they feed into the power grid. What kind of power output would this produce? The first thing we need is the number of doughnuts a day. According to the Center for Disease Control (CDC) 63 million Americans have been fully vaccinated so far (as of April 7 2021). Oh, don’t worry too much about the numbers—I’m going to do all my calculations in python so that you can change the values if that makes you happy. I’m also going to assume that all these people get their doughnut—every day. Next, I need to know the amount of energy per doughnut. According to Krispy Kreme’s site, a plain glazed doughnut is 190 Calories. But what the heck is a Calorie? Well, [the original calorie was created to describe changes in thermal energy for different substance](https://ift.tt/2cI7QMj. Then, later people used it to measure the amount of chemical energy your body can get from eating food. However, there is a problem. For some reason, all food labels list stuff in Calories—but these are really kilocalories. So, that doughnut has 190,000 calories. I guess it just sounds like it’s too big of a number for people to consider eating. There is another unit of energy—the joule. Since this is the preferred unit of energy for physicists, I’m going to use it. To convert between units, 1 calorie is equal to 4.184 joules. But what does this have to do with your everyday life? Let’s consider something you might do without too much effort. Suppose you have a textbook on the floor and you pick it up to put it on a table. Since you are exerting a force on the book over some distance, you have to change the gravitational potential energy of that book. The change in gravitational potential energy is equal to the mass of the book (about 1 kilogram) multiplied by the local gravitational field (g = 9.8 N/kg) and then multiplied by the change in height (about 1 meter). This will give a change in energy of about 10 joules. So that gives you a rough feeling for the amount of energy in a joule. But what about power? Power is the rate of energy change. It tells you how fast you use energy. As an equation, it looks like this: defpower In this expression, if ΔE is the change in energy in units of joules and Δt is the time interval in seconds then the power will be in units of watts. We are almost ready to calculate the vaccine doughnut power. We just need one more estimation—the efficiency. When a human eats a doughnut, only some of the chemical energy goes all the way into useful energy. Also, with a stationary bike generator some of the energy the human uses to push the pedals also goes into heating up some of the moving parts. In the end, only a percentage of the energy goes into electrical energy. This percentage is the efficiency. I’m just going to make a rough guess that the process of doughnut eating to electrical energy is 25 percent efficient. That’s it. I just need to take the number of doughnuts per day and convert that energy to joules and then divide by the length of a day (in seconds). Oh, and multiply by the efficiency. Here’s what I get. Note: this is actual python code. You can see my calculations and even change them if you like. pythonpower You can see that for each human, it’s just a measly 2 watts of power. That’s around the power output for a smart phone (power values vary based on use). However, once you include all the vaccinated people we get up to 144 Megawatts. In 2019, the average household power was about 1200 watts. That means that you could use all these doughnuts to run 120 thousand homes. Oh, AND you get vaccinated—that’s a win.

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[vampyreeyes]

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Got those #GOP debate #vibes \m/ 😈😤🇺🇸🎆 #republican #republicandebate #foxnews #realamerican #patriot #rockflagandeagle #presidentbush #GHWBush #thesimpsons #specialguest #potus #mrpresident #meetingoftheminds #godhelpus #pythonpower #hulkster #thememusic

[collective-communications]

Changing the 🐍 game. 🙌 @gelarehmizrahi #pythonpower 🍕🍟😃👄

[collective-communications]

Special delivery. 😀 @gelarehmizrahi #saycheese #pythonpower