Created at 8pm, Mar 31
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Learn Python Fast Deep Simple
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A Visual and Interactive Journey into Python Programming.\' Dive into captivating visuals and interactive exercises, perfect for beginners and intermediate programmers. Unleash your Python skills with this immersive eBook. Let the adventure begin!Excerpt:Python is a simple programming language that anyone can learn at any age. But at the same time, Python is a multi-purpose programming language that has a wide range of usages including: • Web Development• Desktop Development • Data Analysis • Data Visualization • Machine Learning and AI (artificial intelligence) • Game Development • Task automation and Everyday Tasks • Much moreIn addition, Python is recommended if you’re looking for an easy language to learn first. It is quite simple to understand for someone who’s new to programming.What makes Python powerful? One of the reasons Python is so powerful and vast is that there are so many libraries and frameworks for it. A programming library is a collection of prewritten codes that save us from needing to reinvent the wheel.For example, in Data Analysis programs, we display the results with numbers, graphs and charts as data visualization expresses the results better than textual numbers. To visualize the results, we have two options: 1- Reinvent the wheel: In this case, we have to write everything from scratch. It means we have to write thousands of lines of code to visualize the data. So, we have to spend a lot of time and money on it. 2- Use libraries: Or we can simply use existing libraries written by other companies or individuals. In this case, they have written the ins and outs of drawing charts and graphs. All we need to do is to simply use the library in our program with a few lines of code without any worries about bugs and errors! Therefore, we usually need to use Python along with libraries to write our programs in the most optimal way possible. Also, frameworks are similar to libraries in some ways. A framework is a set of codes usually written by other companies or individuals that can be used to define the structure and skeleton of our programs. So, both the libraries and frameworks are prewritten codes developed by other developers or companies that we use to save our time and money.

Understanding the Operator Precedence In simple expressions that have one operator and two operands, the order is not important. But when we have multiple operators and operands in one expression, then we must be aware about a concept called Operator Precedence. This precedence simply defines the order of execution. To make it clear, I ask you to guess the output of this program: The result is 25: Why? Because Multiplication has a higher order than Addition. So, it first calculates 2 * 10 and then adds the result with 5. Here is the order of operators in Python: 61 Operator () ** *, /, //, % +, ==, !=, >, >=, <, <= and or Description Parentheses Exponent Multiplication, Division, Floor division, Modulus Addition, Subtraction Comparisons Logical AND Logical OR Note that the operators with the same precedence have left-to-right associativity. For example, in an expression like this: 5 + 2 3
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So, it evaluates the expression from left to right. Also, you may have noticed that Parentheses have the highest precedence. We can use this feature of parentheses to simplify expressions: So now we, as humans, have a better understanding on how line 1 will be executed. Also, we can use parentheses to change the default precedence: 62 63
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Python Operators Exercises Are you ready to level up your Python skills? Dive into a world of hands-on learning with the exercises I've carefully crafted just for you. Why just read about Python when you can put your knowledge into action? These exercises are designed to reinforce your understanding of key concepts, sharpen your problem-solving abilities, and ignite your creativity. Remember, practice makes perfect. By actively engaging with these exercises, you'll not only build proficiency but also develop a robust programming mindset. Embrace the thrill of discovery, experiment with different approaches, and unlock the true potential of Python. Don't just be a passive readerbe an active learner! Python Operators Exercises Dejavu Code Part 1 Python Operators Exercises Dejavu Code Part 2 Python Operators Exercises Dejavu Code Part 3 Python Operators Exercises Dejavu Code Part 4 64 Section 6
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Important built-in functions in Python So far, weve worked with functions like input(), print(), format(), int() and str(). But there are lots of them in Python. Lets talk about some other important functions in Python. Important functions to work with Strings As Strings are used widely in Python, so Im going to introduce you more functions that work with Strings.
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