Python pdf

Python pdf

 

Python Hand Written Notes pdfnotesdownload.com

In these ” Python pdf Hand Written Notes“, we will concentrate on the rudiments of programming utilizing Python. The course covers the subjects fundamental for growing irrefutable measured programs utilizing various directions and underlying information structures accessible in Python.

We have given numerous total “Python pdf Hand Written Notes “for any college understudy of BCA, MCA, B.Sc, B.Tech CSE, M.Tech branch to improve more information about the subject and to score better checks in the test. Understudies can undoubtedly utilize every one of these python notes pdf free download.

Points in our Python pdf Hand Written Notes

The points we will cover in these Python Hand Written Notes will be taken from the accompanying rundown:

Prologue to Programming utilizing Python: Construction of a Python Program, Capabilities, Translator shell, Space. Identifiers and catchphrases, Literals, Strings, Fundamental administrators (Number-crunching administrator, Social administrator, Legitimate or Boolean administrator, Task Administrator, Digit wise administrator).

Building blocks of Python: Standard libraries in Python, thought of class, item and strategy.

Making Python Projects: Info and Result Proclamations, Control articulations:- stretching, circling, Leave capability, break, proceed and pass, impermanent and unchanging designs. Testing and investigating a program.

Implicit information structures: Strings, records, Sets, Tuples and Word reference and related activities. Essential looking and arranging techniques utilizing cycle and recursion.

Representation utilizing 2D and 3D illustrations: Perception utilizing graphical items like Point, Line, Histogram, Sine and Cosine Bend, 3D articles.

Exemption Dealing with and Document Taking care of: Perusing and composing text and organized records, Blunders and Special cases.

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Python pdf Hand Written Notes

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Python Interview FAQ: Unleashing Unique Questions

Python is a versatile and widely used programming language known for its simplicity, readability, and vast ecosystem of libraries and frameworks. If you’re gearing up for a Python interview, it’s essential to be well-prepared for the unique questions that may arise. In this article, we’ll explore a collection of distinctive Python interview questions that will challenge your understanding and demonstrate your proficiency in the language. Let’s dive in!

1. Differentiate between a shallow copy and a deep copy in Python.
In Python, a shallow copy creates a new object but references the same memory locations as the original object. Changes made to one object will reflect in the other. On the other hand, a deep copy creates a new object with its own memory allocation. It recursively copies all nested objects, ensuring that modifications made to one object do not affect the other.

2. What are Python decorators, and how do they work?
Decorators in Python are a powerful feature that allows you to modify the behavior of functions or classes dynamically. They are implemented using the “@” symbol and placed before the function or class definition. Decorators wrap the target object with a wrapper function or class, enabling you to add additional functionality, such as logging, authentication, or performance monitoring, without modifying the original code.

3. Explain the Global Interpreter Lock (GIL) in Python.
The Global Interpreter Lock (GIL) is a mechanism in CPython (the default Python implementation) that ensures only one thread executes Python bytecode at a time. This means that multiple threads in a Python program cannot run in parallel, hindering the full utilization of multi-core processors for CPU-bound tasks. However, the GIL does not impact I/O-bound tasks or programs that rely heavily on external libraries written in languages like C or C++.

4. How does Python handle memory management?
Python utilizes automatic memory management through a technique called garbage collection. It employs a combination of reference counting and a cyclic garbage collector to reclaim memory that is no longer in use. When an object’s reference count reaches zero, it is eligible for garbage collection. The cyclic garbage collector handles objects with circular references, ensuring their memory is appropriately freed.

5. What is the difference between a list and a tuple in Python?
Lists and tuples in Python are both used to store collections of objects, but they have some fundamental differences. Lists are mutable, meaning their elements can be modified, added, or removed. Tuples, on the other hand, are immutable and cannot be changed after creation. Lists use square brackets [], while tuples use parentheses (). Tuples are generally used to represent fixed collections, while lists are more suitable for dynamic collections.

6. How does exception handling work in Python?
Exception handling in Python allows you to catch and handle runtime errors, preventing your program from crashing. It involves using try-except blocks. Code that might raise an exception is placed inside the try block, and if an exception occurs, it is caught by the appropriate except block. Multiple except blocks can be used to handle different types of exceptions, and a final optional else block can be included for code that should run only if no exceptions occur.

7. What is a generator in Python, and how is it different from a list?
Generators are functions that can be used to create iterators. They generate values on the fly rather than storing them all in memory at once, making them memory-efficient. Generators use the yield keyword to produce values one at a time, pausing and resuming their execution state. In contrast, lists store all values in memory simultaneously, which can be memory-intensive for large datasets.

8. Explain the differences between the is and == operators in Python.
The “is” operator in Python checks if two objects refer to the same memory location

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