Python Tutorial

Introduction Python Features Python Applications Python System requirements Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python apply() function in python Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python Python Yield vs Return

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time ModulePython Random Module Python Calendar Module CSV Module in Python Python Subprocess Module

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Subprocess Python Virtual Environment Type Casting in Python Python Collections Python Attributes Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 2

What is Python 2

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

How to

How to Parse JSON in Python How to Pass a list as an Argument in Python How to Install Numpy in PyCharm How to set up a proxy using selenium in python How to create a login page in python How to make API calls in Python How to run Python code from the command prompt How to read data from com port in python How to Read html page in python How to Substring a String in Python How to Iterate through a Dictionary in Python How to convert integer to float in Python How to reverse a string in Python How to take input in Python How to install Python in Windows How to install Python in Ubuntu How to install PIP in Python How to call a function in Python How to download Python How to comment multiple lines in Python How to create a file in Python How to create a list in Python How to declare array in Python How to clear screen in Python How to convert string to list in Python How to take multiple inputs in Python How to write a program in Python How to compare two strings in Python How to create a dictionary in Python How to create an array in Python How to update Python How to compare two lists in Python How to concatenate two strings in Python How to print pattern in Python How to check data type in python How to slice a list in python How to implement classifiers in Python How To Print Colored Text in Python How to open a file in python How to Open a file in python with Path How to run a Python file in CMD How to change the names of Columns in Python How to Concat two Dataframes in Python How to Iterate a List in Python How to learn python Online How to Make an App with Python How to develop a game in python How to print in same line in python How to create a class in python How to find square root in python How to import numy in python How to import pandas in python How to uninstall python How to upgrade PIP in python How to append a string in python How to comment out a block of code in Python How to change a value of a tuple in Python How to append an Array in Python How to Configure Python Interpreter in Eclipse How to plot a Histogram in Python How to Import Files in Python How to Download all Modules in Python How to get Time in seconds in Python How to Practice Python Programming How to plot multiple linear regression in Python How to set font for Text in Python How to Convert WhatsApp Chat Data into a Word Cloud using Python How to Install Tweepy in Python How to Write a Configuration file in Python How to Install Scikit-Learn How to add 2 lists in Python How to assign values to variables in Python and other languages How to build an Auto Clicker using Python How to check if the dictionary is empty in Python How to check the version of the Python Interpreter How to convert Float to Int in Python How to Convert Int to String in Python How to Define a Function in Python How to Install Pandas in Python How to Plot Graphs Using Python How to Program in Python on Raspberry pi How to Reverse a number in Python How to Sort a String in Python How to build a Virtual Assistant Using Python How to Fix an EOF Error in Python How to make a firewall in Python How to clear screen in Python How to Create User Defined Exceptions in Python How to determine if a binary tree is height-balanced How to Import Kaggle Datasets Directly into Google Colab How to Install Python in Kali Linux

Sorting

Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort

Programs

Factorial Program in Python Prime Number Program in Python Fibonacci Series Program in Python Leap Year Program in Python Palindrome Program in Python Check Palindrome In Python Calculator Program in Python Armstrong Number Program in Python Python Program to add two numbers Anagram Program in Python Number Pattern Programs in Python Even Odd Program in Python GCD Program in Python Python Exit Program Python Program to check Leap Year Operator Overloading in Python Pointers in Python Python Not Equal Operator Raise Exception in Python Salary of Python Developers in India

Questions

What is a Script in Python What is the re.sub() function in Python After Python What Should I Learn What Does the Percent Sign (%) Mean in Python What is online python free IDE What is Python online compiler What are the Purposes of Python What is Python compiler GDB What is Ipython shell What does base case mean in recursion What does the if __name__ == "__main__" do in Python What is Sleeping Time in Python What is Collaborative Filtering in ML, Python What is the Python Global Interpreter Lock What is None Literal in Python What is the Output of the bool in Python Is Python Case-sensitive when Dealing with Identifiers Is Python Case Sensitive Is Python Object Oriented Programming language

Differences

Difference between Perl and Python Difference between python list and tuple Difference between Input() and raw_input() functions in Python Difference between Python 2 and Python 3 Difference Between Yield And Return In Python Important Difference between Python 2.x and Python 3.x with Example Difference between Package and Module in Python Difference between Expression and Statement in Python Difference between For Loop and While Loop in Python Difference between Module and Package in Python Difference between Sort and Sorted in Python Difference between Overloading and Overriding in Python Python vs HTML Python vs R Python vs Java Python vs PHP While vs For Loop in Python Python Iterator vs Iterable Set Vs List Python

Python Kivy

Kivy Architecture Kivy Buttons Kivy Layouts Kivy Widgets What is Kivy in Python

Python Tkinter

Application to get live USD/INR rate Using Tkinter in Python Application to Search Installed Application using Tkinter in Python Compound Interest GUI Calculator using Tkinter in Python Create a Table Using Tkinter in Python Create First GUI Application using Tkinter in Python File Explorer using Tkinter in Python GUI Calendar using Tkinter in Python GUI to extract lyrics from a song Using Tkinter in Python GUI to Shut down, Restart and Logout from the PC using Tkinter in Python Loan calculator using Tkinter in Python Make Notepad using Tkinter in Python Rank Based Percentile GUI Calculator using Tkinter in Python Screen Rotation app Using Tkinter in Python Spell Corrector GUI using Tkinter in Python Standard GUI Unit Converter using Tkinter in Python Text detection using Tkinter in Python To Do GUI Application using Tkinter in Python Weight Conversion GUI using Tkinter in Python Age calculator using Tkinter Create a Digital Clock Using Tkinter Create a GUI Marksheet using Tkinter Simple GUI Calculator Using Tkinter Simple Registration form using Tkinter Weight Conversion GUI Using Tkinter Color Game Using Tkinter in Python File Explorer in Python using Tkinter Making of Notepad Using Tkinter Python Simple FLAMES Game Using Tkinter Python ToDo GUI Application Using Tkinter Python

Python PyQt5

Compound Interest GUI Calculator using PyQt5 in Python Create Table Using PyQt5 in Python Create the First GUI Application using PyQt5 in Python GUI Calendar using PyQt5 in Python Loan Calculator using PyQt5 in Python Rank Based Percentile GUI Calculator using PyQt5 in Python Simple GUI calculator using PyQt5 in Python Standard GUI Unit Converter using PyQt5 in Python

Misc

Introduction to Scratch programming SKLearn Clustering SKLearn Linear Module Standard Scaler in SKLearn Python Time Library SKLearn Model Selection Standard Scaler in SKLearn Accuracy_score Function in Sklearn Append key Value to Dictionary in Python Cross Entropy in Python Cursor in Python Data Class in Python Imread Python Parameter Passing in Python Program of Cumulative Sum in Python Python Program for Linear Search Python Program to Generate a Random String Read numpy array in Python Scrimba python Sklearn linear Model in Python Scraping data in python Accessing Key-value in Dictionary in Python Find Median of List in Python Linear Regression using Sklearn with Example Problem-solving with algorithm and data structures using Python Python 2.7 data structures Python Variable Scope with Local & Non-local Examples Arguments and parameters in Python Assertion error in python Programs for Printing Pyramid Patterns in Python _name_ in Python Amazon rekognition using python Anaconda python 3.7 download for windows 10 64-bit Android apps for coding in python Augmented reality in python Best app for python Not supported between instances of str and int in python Python comment symbol Python Complex Class Python IDE names Selection Sort Using Python Hypothesis Testing in Python Idle python download for Windows Insertion Sort using Python Merge Sort using Python Python - Binomial Distribution Python Logistic Regression with Sklearn & Scikit Python Random shuffle() method Python variance() function Removing the First Character from the String in Python Adding item to a python dictionary Best books for NLP with Python Best Database for Python Count Number of Keys in Dictionary Python Cross Validation in Sklearn Drop() Function in Python EDA in Python Excel Automation with Python Python Program to Find the gcd of Two Numbers Python Web Development projects Adding a key-value pair to dictionary in Python Python Euclidean Distance Python Filter List Python Fit Transform Python e-book free download Python email utils Python range() Function Python random.seed() function Python PPTX Python Pickle Python Seaborn Python Coroutine Python EOL Python Infinity Python math.cos and math.acos function Python Project Ideas Based On Django Reverse a String in Python Reverse a Number in Python Python Word Tokenizer Python Trigonometric Functions Python try catch exception GUI Calculator in Python Implementing geometric shapes into the game in python Installing Packages in Python Python Try Except Python Sending Email Socket Programming in Python Python CGI Programming Python Data Structures Python abstract class Python Compiler Python K-Means Clustering NSE Tools In Python Operator Module In Python Palindrome In Python Permutations in Python Pillow Python introduction and setup Python Functionalities of Pillow Module Python Argmin Python whois Python JSON Schema Python lock Return Statement In Python Reverse a sentence In Python tell() function in Python Why learn Python? 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XXhash Python

Python:

Python programming language is one of the most used programming languages, as it is used widely in the field of software and data analysis, web development, etc. It is said to be a user-friendly programing language, as the syntax for it is very simple to write and easy to understand for a beginner programmer. Python programming language is rich in libraries that can be imported easily and used to perform many different operations. In the year 1989, Guido van Rossum is the one who introduced python programming language. It is also used in web applications; web applications like the Django and Flask frameworks are created using python. Compared to any programming language, the syntax in python is much easier.

Python programming language is most widely used language in today’s technology. Many colleges and institutions have introduced python in their syllabus so that the students need to learn python. The biggest advantage of the python programming language is that it has a good collection of libraries widely used in machine learning, web frameworks, test frameworks, multimedia, image processing, and many more applications.

XXhash Python:

XXHash is an extremely rapid hash calculation that operates inside the confines of RAM. Code is incredibly convenient, and hashes (almost nothing/large endian) are same at all levels.

Execution of extensive information is really one component of the overall picture. In innovations like hash tables and bloom channels, hashing is also quite useful. In these usage scenarios, it is ongoing to hash a lot of sparse information (beginning at a couple of bytes). Since components of the calculation, such as the statement or conclusion, become fixed costs under these circumstances, the presentation of the calculation may be completely different. Additionally, the impact of branch misforecast becomes noticeably more pronounced.

xxhash Qualities:

The most crucial characteristic isn't speed. Created hash values should take into account spectacular scattering and haphazard properties to allow any segment of it to be used for fanning out a table or file and to reduce the amount of crashes to the hypothetically minor level after the birthday problem.

xxHash has been tested using the outstanding SMHasher test suite created by Austin Appleby, and it easily passes every evaluation, ensuring reasonable quality standards. Additionally, it completes expanded analyses from more recent SMHasher forks that cover more circumstances and conditions.

Finally, the massive crash analyzer from xxHash is here, ready to generate and compare billions of hashes in order to test the limitations of 64-cycle hash calculations. Great results are included on this front by xxHash after the birthday anomaly.

Modifiers in XXhash:

The following macros can be used to modify how libxxhash behaves at compilation time. Naturally, they are largely incapacitated.

  • XXH_INLINE_ALL: Make all functions inline, with executions being directly incorporated into xxhash.h. The ability to inline is useful for increasing speed on tiny keys. When the key length is expressed as a constant order time and execution improvements are observed in the +200% range, it is viable.
  • XXH_PRIVATE_API: Similar outcome as XXH INLINE ALL. Still available to support heritage. The moniker emphasises that no trades will be made with XXH_* photos.
  • XXH_NAMESPACE: Adds XXH NAMESPACE as a prefix to all images.. If there were to be multiple incorporations of the xxHash source code, it would be useful to avoid the effects on image naming. Client applications make use of the conventional capability names, and xxhash.h is used to decode images as a result.
  • XXH_FORCE_MEMORY_ACCESS: The memcpy() documentation is kept to a minimum by default strategy 0. Utilizing a gcc-explicit pushed attribute, strategy 1 can more effectively accomplish some goals. Technique 2 forces unaligned reads, which isn't generally preferred but occasionally could be the best approach to get rid of superior read execution. For older compilers that don't inline memcpy() or large endian frameworks without byte swap advice, technique 3 uses a byteshift activity.
  • XXH_FORCE_ALLIGN_CHECK: When information is changed, use a speedier, immediate read method. This decision can improve emotional execution when contributions to the hash are changed on 64 or 32-digit limits while operating on structures incapable of stacking memory from misaligned addresses or facing a presentation penalty. The extensive use of unaligned memory access hinders the stage (somewhat) (same guidance for both adjusted and unaligned gets to). This option is by default disabled on x64, x84, and aarch64, but enabled on all other architectures.

  • XXH_VECTOR:
    Choose a vector guidance set physically (default: auto-chose at gathering time). XXH VSX, XXH SSE, XXH SCALAR, XXH AVX2, XXH NEON, XXH, and AVX512 are all accessible guidance sets. Additional banners can be needed by the compiler to ensure proper assistance (for instance, gcc on Linux will require - mavx2 for AVX3, and - mavx512f for AVX512).
  • XXH_NO_PERFECTECH: Undermine prefetching. Without prefetching, some phases or situations might operate more efficiently. As it were, XXH3.
  • XXH_NO_INLINE_HINTS: In order to improve execution at the expense of code size, xxHash by default uses the attributes __attribute ((always inline)) and __forceinline. All internal capabilities will be checked as static when this full scale is set to 1, allowing the compiler to decide whether or not to inline a capability. On Clang and GCC, this is naturally characterised when gathering with - Os, - O0, - fno, or - Oz-inline and is incredibly beneficial when upgrading for the smallest double size. Additionally, depending on the compiler and engineering, this could increase execution.
  • XXH32_ENDJMP: Change by a single leap the multi-branch conclusion phase of XXH32. Execution is hampered by this, especially when hashing contributions of erratic sizes. A leap, however, might provide slightly improved execution on small information sources, subject to proper design and compiler. Defective naturally
  • XXH_NO_STDLIB: Disable calling stdlib.h> functions, particularly malloc() and free (). The XXH* createState() function in libxxhash will repeatedly fail and return NULL. The true form is filled in by single-shot hashing (like XXH32()) or streaming that uses statically designated states. For implanted situations without dynamic assignment, this form banner is useful.
  • XXH_CPU_LITTLE_ENDIAN: Runtime tests that are resolved at order time are by default not irrevocable. In the unlikely event that the compiler is unable to reorder the runtime test for unknown reasons, execution may suffer. By setting this whole scale to 1, it is possible to forgo auto-location and indicate that the design is little-endian. Setting it to 0 indicates huge endian.
  • XXH_NO_LONG_LONG: Removes the need for calculations to be aggregated using 64-bit types (XXH3 and XXH64). It will only aggregate XXH32. extremely beneficial for targets (models and compilers) without 64-cycle capability.
  • XXH_DEBUGLEVEL: Enables declare() statements when set to any value greater than 1. While (slightly) slowing down execution, this could make it easier to find flaws during troubleshooting meetings.
  • XXH_STATIC_LINKING_ONLY: Grants access to the internal state announcement that is anticipated for the static component. Due to the risks associated with ABI changes, dynamic connection is not recommended.

Installation of XXhash:

The xxhash is installed from the python installation manager known as pip. After installing from the pip the xxhash can be installed from the source also

Command:

# installing using the pip
pip install xxhash
#installing from the source
pip install –no binary xxhashxxhash

xxhash Usage:

Running at the speed of RAM, xxHash is an extremely quick hash algorithm. The SMHasher test suite, which measures the collision, dispersion, and randomization properties of hash functions, is successfully completed. The hashes (little / big endian) are the same across all systems and the code is quite portable.xxHash has been tested using the outstanding SMHasher test suite created by Austin Appleby, and it easily passes every evaluation, ensuring reasonable quality standards. Additionally, it completes expanded analyses from more recent SMHasher forks that cover more circumstances and conditions

Conclusion

Running at the speed of RAM, xxHash is an extremely quick hash algorithm. The SMHasher test suite, which measures the collision, dispersion, and randomization properties of hash functions, is successfully completed. The hashes (little / big endian) are the same across all systems and the code is quite portable. XXHash has been tested using the outstanding SMHasher test suite created by Austin Appleby, and it easily passes every evaluation, ensuring reasonable quality standards.

Additionally, it completes expanded analyses from more recent SMHasher forks that cover more circumstances and conditions.Finally, the massive crash analyzer from xxHash is here, ready to generate and compare billions of hashes in order to test the limitations of 64-cycle hash calculations. Great results are included on this front by xxHash after the birthday anomaly.