Python is a high-level, general-purpose, interpreted, dynamic programming language. It has many features in common with other languages like C and Java. The goal of this article is to introduce you to the basics of Python programming.
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Do you like to write down your thoughts and ideas? If so, then handwritten notes might be the perfect way for you to do this.Python is a versatile programming language that can be used for a variety of tasks. Whether you’re looking to create simple scripts or develop complex applications, Python has everything you need!If you’re interested in learning more about Python, check out our free resources on our website. These notes will help you understand the basics of the language, and we also have a number of tutorials that will show you how to create your own programs.
Introduction to Python
Python is a programming language with many features that make it unique and powerful. However, one of the things that makes Python stand out from other languages is its comprehensibility. In fact, one of the main goals of the Python language is to be as easy to read and write as possible.
This goal is achieved by several design choices, such as using whitespace to indent code instead of curly braces or semicolons; using English keywords instead of punctuation; and making sure that there is only one way to do something, instead of multiple ways that might be confusing for beginners.
Python also has a large standard library that covers many common programming tasks, such as working with strings, lists, dictionaries, and files. This means that you don’t have to write as much code from scratch when you’re using Python compared to other languages.
Overall, these design choices make Python an excellent choice for beginners who want to learn how to program without being overwhelmed by too much complexity.
In Python, basic syntax refers to the basic rules that govern how a Python program is written and executed. These rules include things like how variables are declared and used, how functions are defined and called, and how data types are manipulated.
Data Types and Variables
Data types are the classification or categorization of data. This is important because it affects how the data is stored and processed. There are four main categories of data types: numeric, string, Boolean, and null.
Numeric data types include integers and floating point numbers. Integer data can be further classified into byte, short, long, and big integer data types. String data includes characters and text. Boolean data can either be true or false. Null data has no value assigned to it.
Variables are used to store values in a program so that they can be accessed and manipulated as needed. They are given names so that they can be easily referenced in the code. variables can be declared with or without assigning a value to them. If a value is not assigned to a variable when it is declared, it will have a default value depending on its data type. For example, an uninitialized string variable will have a value of “null”.
Operators and Expressions
Operators are used to perform operations on variables and values. Python supports the following types of operators:
Arithmetic operators are used for mathematical calculations like addition, subtraction, multiplication, division, etc. For example:
>>> 2 + 3 # addition operator 5
>>> 4 – 2 # subtraction operator 2
>>> 4 * 2 # multiplication operator 8
>>> 10 /2 # division (float) 5.0
# Integer division(floor) 5
Control Flow Statements
if, elif and else:
Python supports the usual logical conditions from mathematics:
Equals: a == b
Not Equals: a != b
Less than: a < b Less than or equal to: a <= b Greater than: a > b
Greater than or equal to: a >= b
A function is a set of instructions that perform a specific task. Functions are written in a particular order so that they can be executed correctly. Python has many built-in functions, and you can also create your own.
When you create a function, you give it a name and specify the instructions that it should execute. When you want to execute the function, you simply call it by its name. Functions can take parameters, which are values that are passed to the function when it is called. The parameters are used by the function to perform its task.
Functions can also return values. When a function returns a value, it gives back control of execution to the code that called the function. The returned value can be used by the calling code to further manipulate data or make decisions.
Creating your own functions is an important part of programming in Python. It allows you to modularize your code and make it more organized and readable. It also makes your code more reusable since you can call functions from other parts of your program or from other programs altogether
Object Oriented Programming
Python is an object-oriented programming language, meaning that it allows users to define and create objects. Objects are defined by their attributes, or the properties that they have, and their behavior, or the actions that they can take.
In Python, objects are created by defining classes. A class is like a template for an object; it defines what attributes and behaviors an object will have. Once a class has been defined, you can create new objects that belong to that class.
Object-oriented programming has many advantages. One of the most important is that it makes code easier to reuse. If you have a well-designed set of classes, you can use them over and over again in different programs without having to rewrite them from scratch each time.
Another advantage of object-oriented programming is that it helps you model real-world entities more effectively. Most things in the world are objects with attributes and behaviors (think of a car: its attributes might include its color, make, model, and year; its behavior might include starting the engine and honking the horn). Modeling these entities as Python classes makes your code more expressive and easier to understand.
The Python Standard Library is a collection of modules that are part of the core Python language. These modules provide essential functions and are available for use by all Python programs. The Standard Library is divided into several categories, including:
ufffd Data types (such as numbers, strings, and lists)
ufffd File I/O
ufffd Operating system interfaces
ufffd Internet protocols
ufffd Software tools (such as debuggers and profilers)
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