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Python Data Types

Python is a dynamically typed language, which means that the data types of variables can change during the execution of the program. Python supports several built-in data types, which can be used to represent different kinds of values. Below are some of the frequently used data types in Python: 1. Numeric Data Types: Python has support for various numeric data types, such as integers, floating-point numbers, and complex numbers. Integers are whole numbers, whereas floating-point numbers are those that contain a decimal point. On the other hand, complex numbers consist of both a real and an imaginary part. Here are some examples: ``` x = 10         # integer y = 3.14       # floating-point number z = 2 + 3j     # complex number ``` 2. String Data Type: Python uses strings to represent text data, which can be encompassed within single quotes ('...') or double quotes ("..."). Here are some examples: ``` a = 'Hello, World!'  ...
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Python - Global Variables

In Python, a global variable is a variable that is declared outside of any function and can be accessed by any function in the same module or file. Global variables can be useful for storing values that are needed by multiple functions within the same module or file. In Python, declaring a variable outside of any function is all that's needed to create a global variable: ``` # defining a global variable my_global_var = "Hello World" # Creating a function that utilizes the global variable: def print_global_var():     print(my_global_var) # calling the function print_global_var()  # output: "Hello World" ``` In the example above, `my_global_var` is a global variable that can be accessed by the function `print_global_var()` because it is defined outside of any function. It is also possible to modify the value of a global variable from within a function using the `global` keyword: ``` # defining a global variable my_global_var = "Hello World" # defining a ...
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Top 10 greatest goalkeeper of all time, theirs name and why they are greatest

Who are the top 10 greatest goalkeepers of all time? In the history of football, there have been many great goalkeepers who have contributed to their team's success and won numerous trophies. The role of a goalkeeper in football is crucial, as they are the last line of defense and can often be the main source of motivation and the difference between winning and losing a trophy. So, questions can be arise who is the best goalkeeper of this competition or top 10 greatest goalkeepers of all time. What are some defining characteristics or skills of the greatest goalkeepers on this list? Shot-stopping ability: One of the key attributes of a great goalkeeper is their ability to make crucial saves and prevent goals. The top goalkeepers are known for their lightning-fast reflexes and agility, allowing them to make acrobatic saves and keep the ball out of the net. Command of the penalty area: Great goalkeepers are also known for their ability to command their penalty area and communicate...
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Python Strings

Python is a computer language that can be used for many things like creating websites, studying data, and building smart machines. Strings are an important way of storing and working with text in Python. This piece of writing will cover the basics of strings, including their definition, how they can be made, and a few typical actions you can do with them. What are Strings in Python? Python considers a string as a series of characters that signify text-based data. Such a string is composed of a group of characters that are enclosed either in single quotes ('') or double quotes (""). Strings can contain letters, numbers, symbols, and spaces, and can be of any length. For instance, "Hello, World!" is a valid string, as are 'Python is awesome!' and "12345". The choice of quotes is yours to make, as long as you're consistent. In Python, if a string begins with a single quote, it must be terminated with a single quote. Similarly, if a string ...
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What is meant by inbox placement rate?

Email is the most productive promotional channel with an average ROI of 145%. Sellthrough has written multiple ebooks on how to make progress on this over the years, focusing on techniques like personalization and behavior-based trigger messages. However, your email marketing program will only have a significant impact on your brand's bottom line if your messages are actually received. Many marketers don't realize that deliverability and revenue have a much more symbiotic relationship. Consistently, people receive more than 300 billion messages, which is 0.02% of the message volume actually sent. Concerned with securing clients' inboxes as a matter of first importance, Internet Service Providers (ISPs) identify most messages as malicious spam, blocking them out and out. ISPs rule on caution and cast a wide net, giving comparable treatment to any email that appears to resemble spam. As indicated by Return Path's 2018 Deliverability Benchmark Report, the typical inbox pla...
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