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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index ...
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IoT application project need for BTech ECE students

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Iot projects
IOT Project
IoT provides networking to connect people, things, applications, and data through the Internet to enable remote control, management, and interactive integrated services. IoT network scale, how large is it? Well, you have to think of this. The number of mobile devices exceed the number of people on Earth.

In addition, predictions are made that there will be 50 billion 'things' connected to the Internet by 2020. So therefore, Internet of Things, this study is so important. 

IoT Service Support. Some advanced IoT services will need to collect, analyze, and process segments of raw sensor information, raw sensor data, and we need to turn this into operational control information. Some sensor data types may have massive sizes, because the number of sensor IoT devices are so large. 

circuits
#Introduction to Elecronic circuit analysis

Also Read: Project and Training on IoT

So we need a platform that can collect and store all of this massive amount of information. IoT databases will be needed, and that's where Cloud Computing Support will be needed. IoT data analysis will be needed, and that's where big data support will be needed. The influence of IoT can be seen in people, processes, data, and things.

First, people. More things can be monitored and controlled, so people will become more capable. Process-wise, more users and machines can collaborate in real time, so more complex tasks can be accomplished in lesser amount of time because now we have more collaborative, more coordinated efforts that can be pulled together.

Data wise. Collect data more frequently and reliably. Well that would result in more accurate decision making. Things. Things become more controllable. So therefore, mobile devices and things become more valuable. There's more that you can do with them. What is the overall economic impact? Predictions have been made that IoT has the potential to increase global corporate profits by 21% by 2022.

Where is this all coming from? It's a combination of asset utilization, employee productivity, supply chain and logistics improvement, customer experience, and other type of combined innovations.

Also read: Take free course on IOT

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