#python program for factorial of a number

[skia-inc]

Exercise to do with python :

Write a Python program to print "Hello, World!"

This is a basic Python program that uses the print statement to display the text "Hello, World!" on the console.

Write a Python program to find the sum of two numbers.

This program takes two numbers as input from the user, adds them together, and then prints the result.

Write a Python function to check if a number is even or odd.

This exercise requires you to define a function that takes a number as input and returns a message indicating whether it is even or odd.

Write a Python program to convert Celsius to Fahrenheit.

This program prompts the user to enter a temperature in Celsius and then converts it to Fahrenheit using the conversion formula.

Write a Python function to check if a given year is a leap year.

In this exercise, you'll define a function that checks if a year is a leap year or not, based on leap year rules.

Write a Python function to calculate the factorial of a number.

You'll create a function that calculates the factorial of a given non-negative integer using recursion.

Write a Python program to check if a given string is a palindrome.

This program checks whether a given string is the same when read backward and forward, ignoring spaces and capitalization.

Write a Python program to find the largest element in a list.

The program takes a list of numbers as input and finds the largest element in the list.

Write a Python program to calculate the area of a circle.

This program takes the radius of a circle as input and calculates its area using the formula: area = π * radius^2.

Write a Python function to check if a string is an anagram of another string.

This exercise involves writing a function that checks if two given strings are anagrams of each other.

Write a Python program to sort a list of strings in alphabetical order.

The program takes a list of strings as input and sorts it in alphabetical order.

Write a Python function to find the second largest element in a list.

In this exercise, you'll create a function that finds the second largest element in a list of numbers.

Write a Python program to remove duplicate elements from a list.

This program takes a list as input and removes any duplicate elements from it.

Write a Python function to reverse a list.

You'll define a function that takes a list as input and returns the reversed version of the list.

Write a Python program to check if a given number is a prime number.

The program checks if a given positive integer is a prime number (greater than 1 and divisible only by 1 and itself).

Write a Python function to calculate the nth Fibonacci number.

In this exercise, you'll create a function that returns the nth Fibonacci number using recursion.

Write a Python program to find the length of the longest word in a sentence.

The program takes a sentence as input and finds the length of the longest word in it.

Write a Python function to check if a given string is a pangram.

This function checks if a given string contains all the letters of the alphabet at least once.

Write a Python program to find the intersection of two lists.

The program takes two lists as input and finds their intersection, i.e., the common elements between the two lists.

Write a Python function to calculate the power of a number using recursion.

This function calculates the power of a given number with a specified exponent using recursion.

Write a Python program to find the sum of the digits of a given number.

The program takes an integer as input and finds the sum of its digits.

Write a Python function to find the median of a list of numbers.

In this exercise, you'll create a function that finds the median (middle value) of a list of numbers.

Write a Python program to find the factors of a given number.

The program takes a positive integer as input and finds all its factors.

Write a Python function to check if a number is a perfect square.

You'll define a function that checks whether a given number is a perfect square (i.e., the square root is an integer).

Write a Python program to check if a number is a perfect number.

The program checks whether a given number is a perfect number (the sum of its proper divisors equals the number itself).

Write a Python function to count the number of vowels in a given string.

In this exercise, you'll create a function that counts the number of vowels in a given string.

Write a Python program to find the sum of all the multiples of 3 and 5 below 1000.

The program calculates the sum of all multiples of 3 and 5 that are less than 1000.

Write a Python function to calculate the area of a triangle given its base and height.

This function calculates the area of a triangle using the formula: area = 0.5 * base * height.

Write a Python program to check if a given string is a valid palindrome ignoring spaces and punctuation.

The program checks if a given string is a palindrome after removing spaces and punctuation.

Write a Python program to find the common elements between two lists.

The program takes two lists as input and finds the elements that appear in both lists.

[mr-abhishek-kumar]

Morning python study log 03-11-2023

So these days I have started to stream my code study.

So today morning I learnt:

How to take absolute value. Found some anomaly in the system lol. Basically it was not taking abs() but fabs() however my python was the latest version

I studied how to sort three numbers in python, although I have done this in other language since the syntax of python is still foreign to me I had difficulty sorting them in ascending order and also descending order using the built in function sorted() and also making my own implementation

I understood what is range function and how to use it with for loops, had a bit of hit and miss while understanding how it really worked but google's bard helped, I also learnt about reverse sorting

I learnt what is interning while trying to understand the difference between identity operators and equality operators. Found some anomaly in my system again, that my computer's range of interning is much larger than what is documented ?

I learnt what is keyword argument when with using reverse built in sort, yeah so I was amazed that the order of arguments didn't mattered for keyword argument.

I was also confusing syntax of python with javascript since that is what is what recently code in.

Learnt about what does len() function does, like properly rather than just guessing about what it does.

understood about control statements such as if, else and elif

learnt about break and continue in loops in python which is same as java script.

learnt about how to check the divisibility of a number. I didn't knew that it was separate topic in my syllabus I just thought it was something people would knew.

Learnt the basics about on how to make a READ , EVAL PRINT LOOP, REPL

Learnt about stupid pattern program in python, I don't know why the heck they still teach these things and put it in syllabus. There is no real world use of it as far as I can see. I still have to post the notes about it in my blogs and store it my cloud drive.

Learnt how to do a summation of series, using and not using numpy.

figured out how to do a factorial of a number

was trying to make an short algorithm on how to do the fibonacci series but well, I was so sleepy that my mind didn't worked as it should, I took the hint from bard then felt bad that I was directly looking at the solution when rather I should sleep and approach the problem from afresh in next study stream. So stopped my study stream.

[glaxitsoftwareagency]

Blackbox AI Explained: Emerging Tool for Code Generation in 2025

Introduction

Blackbox AI, developed by Blackbox AI Inc., was launched in early 2025. Here’s a step-by-step guide of how to use it:

Visit the Platform: Go to www.useblackbox.io and sign up for a free trial or select a premium plan.

Input Your Prompt: In the interface, enter a clear instruction (prompt). For example, “Create a Python function to calculate the factorial of a number.”

Receive the Output: Blackbox AI processes your prompt and generates clean, optimized code. It also points out any potential errors or improvements.

Integrate and Use: Copy the generated code directly into your project or make small tweaks as needed.

Learn and Improve: Blackbox AI adapts in real-time, learning from your style and preferences, and continually improving its suggestions.

This highlights how Blackbox AI works: enter a prompt, get clean code fast, and spot errors instantly.

For example, type: “Create a Python function to calculate the factorial of a number,” and it gives you clean code in seconds. It also adapts and connects smoothly to your environment. By 2025, Blackbox AI is launched and developed by a leading technology company known for its innovative AI solutions. It can be accessed through the official website at www.blackbox.ai, where developers can sign up for a free trial or subscribe to premium plans based on their needs.

How it is different from other AI Automated Code Generation Tools?

Unlike other automated coding tools, Blackbox AI integrates real-time suggestions and adaptive learning directly into your development environment. This integration makes it more user-friendly, less error-prone, and faster to deploy than older, static code generation tools. It enables developers to work smarter and build better software solutions faster. By 2025, Blackbox AI has become an essential tool in software development, fundamentally transforming traditional coding practices. Its advanced capabilities empower developers by automating both complex and routine tasks, significantly enhancing efficiency and reducing common development hurdles. This article thoroughly explores the functionalities, benefits, and growing significance of Blackbox AI among software developers and tech businesses.

Core Functionalities of Blackbox AI

Blackbox AI specializes in several critical aspects of coding: automated code generation, debugging, error detection, and optimization. It alleviates many challenges developers typically face by streamlining processes and providing real-time solutions. With its intuitive design, Blackbox AI seamlessly integrates into existing development environments, causing minimal disruption to established workflows.

Benefits of Adopting Blackbox AI

User-Friendly Interface: Ideal for beginners, requiring minimal training to begin effective use.

Rapid Code Generation: Quickly delivers accurate code snippets based on precise input requirements.

Adaptive Learning: Continuously enhances its performance by learning from past interactions.

Automatic Bug Detection: Efficiently identifies and addresses coding errors, substantially reducing debugging time

Cross-Language Compatibility

A major advantage of Blackbox AI is its compatibility across a wide array of programming languages, including Python, JavaScript, and Java. This feature makes it highly versatile, suitable for diverse software projects and accommodating the varying preferences of developers and organizations alike.

Enhanced Productivity and Efficiency

Transitioning to automated code generation markedly boosts productivity. According to a 2025 developer productivity survey, teams utilizing Blackbox AI reported productivity increases of around 40%. These findings underscore the considerable practical benefits that automated coding brings to modern software development.

SEO Advantages Through AI

Blackbox AI also provides significant advantages in search engine optimization (SEO). By generating semantically optimized code, it directly improves website performance, user experience, and online discoverability. As voice search continues to grow, semantic optimization is critical, ensuring websites remain effectively positioned within evolving search behaviors.

Cost-Efficiency and User Accessibility

Implementing Blackbox AI results in substantial cost savings and easier coding processes. It offers competitively priced, scalable solutions, making advanced AI tools accessible even to small businesses and independent developers. By minimizing costly coding errors and simplifying debugging procedures, Blackbox AI ensures a cost-effective and user-friendly development experience.

Continuous Improvements and Resource Optimization

A standout quality of Blackbox AI is its continual evolution and resource-efficient performance. Regular algorithm updates guarantee developers access to the latest, most secure versions, preserving the integrity and quality of their code. Despite its robust capabilities, Blackbox AI operates efficiently on standard hardware setups, eliminating the need for expensive infrastructure upgrades and broadening its accessibility across various business sizes.

Conclusion

Blackbox AI represents a significant advancement in the field of automated code generation technology as of 2025. Its intuitive interface, efficient error management, broad language compatibility, and affordability position it as an essential resource for developers and organizations aiming to stay ahead in competitive technological landscapes. Integrating Blackbox AI into development practices promises substantial productivity gains and long-term strategic advantages.

Frequently Asked Questions

1. Is Blackbox AI suitable for beginners? Yes, Blackbox AI is intentionally crafted to be user-friendly, enabling new developers to easily integrate it into their workflows without extensive experience.

2. How does Blackbox AI enhance SEO performance? Blackbox AI creates semantically optimized code, significantly improving website visibility, performance, and effectiveness in addressing voice-search trends.

3. Can small businesses afford Blackbox AI? Absolutely. Blackbox AI offers flexible and affordable pricing structures tailored to suit individual developers, small businesses, and larger enterprises.

4. Does Blackbox AI support multiple programming languages? Yes, it is compatible with numerous languages such as Python, JavaScript, and Java, making it highly versatile and adaptable for various development projects.

5. Will Blackbox AI replace human developers? No. Blackbox AI is designed to augment human efforts by automating routine tasks, thereby allowing developers to focus more deeply on strategic and creative aspects of software development.

References

Developer Productivity Report 2025

AI and SEO Market Trends 2025

Voice Search and Semantic SEO Study 2025

[souhaillaghchimdev]

Python: 100 Simple Codes

Python: 100 Simple Codes

Beginner-friendly collection of easy-to-understand Python examples.

Each code snippet is designed to help you learn programming concepts step by step, from basic syntax to simple projects. Perfect for students, self-learners, and anyone who wants to practice Python in a fun and practical way.

Codes:

1. Print Hello World

2. Add Two Numbers

3. Check Even or Odd

4. Find Maximum of Two Numbers

5. Simple Calculator

6. Swap Two Variables

7. Check Positive, Negative or Zero

8. Factorial Using Loop

9. Fibonacci Sequence

10. Check Prime Number

===

11. Sum of Numbers in a List

12. Find the Largest Number in a List

13. Count Characters in a String

14. Reverse a String

15. Check Palindrome

16. Generate Random Number

17. Simple While Loop

18. Print Multiplication Table

19. Convert Celsius to Fahrenheit

20. Check Leap Year

===

21. Find GCD (Greatest Common Divisor)

22. Find LCM (Least Common Multiple)

23. Check Armstrong Number

24. Calculate Power (Exponent)

25. Find ASCII Value

26. Convert Decimal to Binary

27. Convert Binary to Decimal

28. Find Square Root

29. Simple Function

30. Function with Parameters

===

31. Function with Default Parameter

32. Return Multiple Values from Function

33. List Comprehension

34. Filter Even Numbers from List

35. Simple Dictionary

36. Loop Through Dictionary

37. Check if Key Exists in Dictionary

38. Use Set to Remove Duplicates

39. Sort a List

40. Sort List in Descending Order

===

41. Create a Tuple

42. Loop Through a Tuple

43. Unpack a Tuple

44. Find Length of a List

45. Append to List

46. Remove from List

47. Pop Last Item from List

48. Use range() in Loop

49. Use break in Loop

50. Use continue in Loop

===

51. Check if List is Empty

52. Join List into String

53. Split String into List

54. Use enumerate() in Loop

55. Nested Loop

56. Simple Class Example

57. Class Inheritance

58. Read Input from User

59. Try-Except for Error Handling

60. Raise Custom Error

===

61. Lambda Function

62. Map Function

63. Filter Function

64. Reduce Function

65. Zip Two Lists

66. List to Dictionary

67. Reverse a List

68. Sort List of Tuples by Second Value

69. Flatten Nested List

70. Count Occurrences in List

===

71. Check All Elements with all()

72. Check Any Element with any()

73. Find Index in List

74. Convert List to Set

75. Find Intersection of Sets

76. Find Union of Sets

77. Find Difference of Sets

78. Check Subset

79. Check Superset

80. Loop with Else Clause

===

81. Use pass Statement

82. Use del to Delete Item

83. Check Type of Variable

84. Format String with f-string

85. Simple List Slicing

86. Nested If Statement

87. Global Variable

88. Check if String Contains Substring

89. Count Characters in Dictionary

90. Create 2D List

===

91. Check if List Contains Item

92. Reverse a Number

93. Sum of Digits

94. Check Perfect Number

95. Simple Countdown

96. Print Pattern with Stars

97. Check if String is Digit

98. Check if All Letters Are Uppercase

99. Simple Timer with Sleep

100. Basic File Write and Read

===

[rebeccabarrett]

Hire a Mobile hacker to monitor your partner's chat activity

Related: Best Mobile Hack to Track Your Teenage Child #1

Mobile phones have become an essential part of our daily lives, acting as our communication hub, personal assistant, and entertainment source. But with this increased dependency comes the growing threat of mobile hacking. Understanding mobile security is crucial to protect your personal information from malicious attacks.

💢 What is Mobile Hacking?

Mobile hacking involves unauthorized access to a mobile phone's system, data, or communication. Hackers use various methods to exploit vulnerabilities in mobile devices, often without the owner's knowledge. Common misconceptions include the belief that only outdated or unprotected phones are at risk. In reality, even the latest models with advanced security features can be targeted.

💢 How Hackers Target Mobile Phones

Hackers use several techniques to gain access to mobile phones:

🔸 Phishing Attacks: Sending fake messages or emails to trick users into revealing personal information.

🔸 Malware: Installing malicious software that can steal data or monitor activities.

🔸 Network Spoofing: Creating fake Wi-Fi networks to intercept data transmitted over them.

🔸 Exploiting Vulnerabilities: Taking advantage of security flaws in the phone’s operating system or apps.

💢 Is My Phone Hacked?

Wondering if your phone might be hacked? Look out for these signs:

🔹 Unusual Battery Drain: Malicious software running in the background can cause your battery to deplete faster than usual.

🔹 Slow Performance: If your phone is suddenly slow or crashes often, it could be compromised.

🔹 Strange Messages: Receiving unusual texts or emails, especially from unknown sources, is a red flag.

🔹 Data Usage Spikes: Unexpected increases in data usage may indicate that malware is transmitting data from your phone.

💢 What to Do if My Phone is Hacked

If you suspect your phone is hacked, act quickly:

📕 Disconnect from the Internet: Turn off Wi-Fi and mobile data to prevent further data transmission.

📕 Scan for Malware: Use trusted security apps to scan and remove any malicious software.

📕 Change Passwords: Update all your passwords, especially for sensitive accounts.

📕 Factory Reset: As a last resort, perform a factory reset to remove all data and restore the phone to its original settings.

💢 Can My iPhone Be Hacked?

While iPhones are renowned for their security, they are not immune to hacking. iOS security features include:

📒 Sandboxing: Restricts apps from accessing data from other apps.

📒 App Store Vetting: Thorough review process for apps before they are available for download.

However, vulnerabilities can still be exploited through techniques like jailbreaking or by installing malicious apps from unofficial sources.

💢 How to Find Out Who Hacked Your Phone

Tracing the hacker is challenging but possible. Here are some steps:

📘 Check Activity Logs: Review your phone's activity logs for unusual behavior.

📘 Consult Professionals: Seek help from cybersecurity experts.

📘 Report to Authorities: File a report with local law enforcement or cybercrime units.

💢 Hackers can use your phone number to:

📗 SIM Swapping: Transfer your phone number to another SIM card, gaining access to your accounts.

📗 Phishing: Send malicious links via SMS.

Protect your phone number by avoiding sharing it publicly and using two-factor authentication for your accounts.

💢 Hacked Phone: What to Do?

If your phone is hacked, follow these steps:

📙 Identify the Source: Determine how your phone was hacked to prevent future attacks.

📙 Remove Malware: Use security software to clean your device.

📙 Update Software: Ensure your operating system and apps are up-to-date.

📙 Secure Accounts: Change passwords and enable two-factor authentication.

💢 Best Mobile Hacker 

There should be some essential features to be considered the best mobile hacker. 

🔎 First, a deep understanding of various programming languages like Python, Java, and Swift is crucial. 

🔎 Second, strong cybersecurity awareness to protect against and exploit vulnerabilities is necessary. 

🔎 Third, proficiency in using popular hacking tools like Metasploit, Wireshark, and Nmap is vital. 

🔎 Fourth, ethical conduct to ensure responsible hacking practices is essential. 

🔎 Fifth, practical experience through real-world applications and simulated environments is important. 

🔎 Lastly, continuous learning to stay updated with the latest trends and techniques is indispensable.

💢 If My Phone is Hacked, What Should I Do?

Here’s a practical guide:

Stay Calm: Panicking won't help. Take methodical steps to secure your phone.

Backup Data: Before making any changes, backup your important data.

Use Security Software: Regularly scan your phone for threats.

Educate Yourself: Stay informed about the latest security threats and how to counter them.

💢 Why Hire a Mobile hacker

In the age of smartphones, mobile security is more important than ever. Have you ever wondered how secure your mobile app or device really is? That's where a mobile hacker comes in. But why should you consider hiring one? Let's dive into the world of mobile hacking and explore its benefits.

💢 Benefits of Hiring a Mobile Hacker

Enhancing Mobile Security

Mobile hackers can significantly enhance the security of your mobile applications and devices. They identify and address vulnerabilities that could be exploited by malicious actors.

Preventing Data Breaches

By identifying potential weaknesses, mobile hackers help prevent data breaches that could compromise sensitive information.

Identifying Vulnerabilities

Hackers can pinpoint specific vulnerabilities that might be overlooked during standard security checks.

Related: Hire Professional Social Media Hackers

💢 Best Hacking Apps

Some of the top hacking apps used by professionals (often for ethical hacking) include:

Metasploit: Used for penetration testing and finding vulnerabilities.

Nmap: Network scanning tool that identifies open ports and services.

Wireshark: Network protocol analyzer for troubleshooting and analysis.

While these apps have legitimate uses, they can be misused for illegal activities.

🔘 Finishing Touch

Mobile hacking is a serious threat that requires vigilance and proactive measures. By understanding how hackers operate, recognizing the signs of a compromised phone, and taking appropriate steps to secure your device, you can protect your personal information and privacy. Stay informed, stay secure, and don't hesitate to seek professional help if needed.

FAQs

Q-1: Can my phone be hacked if I only use official app stores?

A-01: While using official app stores reduces the risk, it does not eliminate it completely. Always read reviews and check permissions before downloading apps.

Q-2: How often should I change my passwords?

A-02: It’s recommended to change your passwords every three to six months and use unique passwords for different accounts.

Q-3: Is it safe to use public Wi-Fi?

A-03: Public Wi-Fi is generally not secure. Use a VPN to protect your data when connecting to public networks.

Q-4: Can resetting my phone remove all hacking threats?

A-04: A factory reset can remove most malware, but it's important to also change all passwords and update your security settings.

[the-real-nick-of-time]

I have a couple of favorite esolangs.

Vigil is a fork of Python that adds a few new keywords to the language, to add supreme moral vigilance that is lacking in the base language.

A function in Vigil can state what it requires by using implore. If a caller fails to provide valid arguments, it is wrong and must be punished. You can state the oaths that you promise to uphold using swear. If a function fails to uphold what it has sworn to do, it is wrong and must be punished.

If an oath is broken, the offending function (the caller in the case of implore and the callee in the case of swear) will be duly punished. How? Simple: it will be deleted from your source code.

Another is Genesis, an esolang based on paleo-Hebrew. Some choice quotes from the project:

The Paleo-Hebrew alphabet may have used gematria to denote cardinal values, although there is only evidence of this on the Samaria Ostraca and Dead Sea Scroll 4Q252. This quasi-decimal isopsephic number system is adopted for a lack of an academic consensus.

There is recursion insomuch that making a self-referential call from within a subroutine is possible, but there is no means to exit that recursion to express the irrevocable danger of pride and egoism.

The original post only briefly mentioned Befunge, which is the only one I've written anything in (unless you count Python as technically also Vigil). A simple Befunge program looks like this:

v v < >&#$:0`!_>:1-:| v *< >$>\:| @.$<

This calculates and prints the factorial of a number that you input.

If you want to see more wacky computer science shenanigans, I recommend tom7:

In case you need any encouragement, in the first video he plays tetris in an emulator stored on a virtual hard drive made of 8600 other tetris emulators. Most of his videos are done for Sigbovik, an annual conference held on April 1st for tech nerds to share their silly projects with the world.

Every now and then I remember that Malbolge exists and I get to spend the better part of an hour cry-laughing at the world’s worst programming language

already starting off strong, but it gets worse

Wow! Sounds easy and intuitive to use! What’s the “crazy operation” you ask? We’ll get to that later. For now let’s see what a program in this language looks like :)

Thanks! I hate it!

it’s so difficult to work with that the first program was written by another brute force search program

mmmmm delicious base-3 arithmetic, what could go wrong? (For reference, that means this program forgoes the usual “0/1″ values of binary code in favor of a much more fun “0/1/2″ set of values)

ah.

Here’s how the language actually figures out what to do. It’s got 8 “simple” commands that can be executed easily by *checks notes* running the code itself through the modulo operation and taking the result.

As a bonus, on top of all that every single character in your code will now alter what every single other character does. So I hope you’re alright with cracking a cipher every time you add a new letter to your program!

oh god oh fuck.

behold, Malbolge’s primary arithmetic operation and what you’ll be using for most of your math while programming with it :)

This looks specifically designed to be the least logical math operation you could make, and knowing what the rest of Malbolge is I’d wager that’s precisely what happened. I never want to ever use this and it’s my favorite thing I’ve ever seen.

https://en.wikipedia.org/wiki/Malbolge

Anyways here’s the wiki page if you wanna read through it more deeply, I’m gonna sit here holding in my laughter staring at the hello world program again.

[zorbasmedia]

Top 20 Programming Languages You Should Learn in 2024

Imagine yourself commanding machines with words, creating very complex systems that can come to life through your spoken word and develop complete digital worlds. No, we are not talking about science fiction but programming in our daily lives.

Programming languages are just like the normal languages we use to communicate with computers; they enable us to instruct this sophisticated machinery on what it should do and how it should do that.

However, for novices, this programming world looks terrifying, full of enigmatic icons and strange expressions. Do not despair! Your map awaits you so that you can know and select even equipment for your own superpowers of software development. So, let’s get ready for this thrilling ride together!

What is a programming language?

Programming languages may seem intricate, but essentially they are just tools we employ in speaking to computers. We speak English to give commands to our fellow human beings, likewise, a programming language is used to pass instruction codes to a computer. In each language, there are its own rules as well as symbols, just like my language grammar works.

Think of it like writing recipes. With instructions and ingredients (data), you create delicious dishes (programs). Programming languages follow similar principles, using instructions and data to create digital applications, websites, and more.

Here’s a breakdown:

Human languages: we use English, Spanish, etc. to tell others what we want.

Programming languages: we use Python, Java, etc. to tell computers what we want them to do.

Programming languages can be:

Structured: they have rules and syntax to ensure clarity and avoid confusion.

Precise: each instruction needs to be exact, as computers understand things literally.

Versatile: different languages have different strengths, making them suitable for different tasks.

Translatable: while computers have their own language, programming languages act as translators, converting our instructions into something the computer can understand.

In short, programming languages are communication tools that bridge the gap between our ideas and the digital world. They open doors to exciting possibilities, allowing us to bring our creations to life!

Major types of programming languages

The world of programming languages is vast and diverse, each with its own strengths and quirks. Let’s explore some major types to give you a better understanding:

Procedural

Imagine a recipe with clear steps. Procedural languages, like C, Pascal, and FORTRAN, follow a similar approach. They break down tasks into a sequence of instructions, one after the other, like a chef following a recipe.

Example: In C, you might write code to calculate the area of a circle: float radius = 5.0; float area = 3.14159 * radius * radius; printf(“The area of the circle is: %.2f\n”, area); 

Functional

Think of building blocks snapping together. Functional languages, like Haskell, Clojure, and Lisp, focus on independent functions (like blocks) that solve smaller problems. These functions can be combined to create larger programs, similar to building a complex structure with individual pieces.

Example: In Haskell, you could define a function to calculate the factorial of a number and use it later in your program: factorial n = if n == 0 then 1 else n * factorial (n-1)

Object-oriented

Imagine objects with their own properties and abilities. Object-oriented languages, like Java, Python, C++, and Ruby, model real-world objects. You create “objects” with data (properties) and functions (abilities) that interact with each other, making code more organized and reusable.

Example: In Python, you could create a “Car” object with attributes like color and speed, and methods like accelerate and brake.

Scripting

Think of quick notes or shortcuts. Scripting languages, like Python, Perl, and Bash, are often used for automating tasks or small programs. They are generally easier to learn and use than other languages, making them good for beginners or quick fixes.

Example: In Python, you could write a script to automate downloading files from the internet.

Logic

Imagine solving a puzzle with clues. Logic languages, like Prolog, use logical rules and relationships to solve problems. They are often used in artificial intelligence and expert systems, where reasoning and deduction are important.

Example: In Prolog, you could write code to determine if a given word is a palindrome (reads the same backward and forward).

Imperative

Imagine directly controlling a machine. Imperative languages, like C and C++, give programmers precise control over how the computer executes instructions. They are often used for system programming and tasks requiring fine-grained control.

Example: In C, you could directly manipulate memory addresses and perform low-level operations on the computer hardware.

Top programming languages in 2024

Programming is a constantly evolving niche, with new technologies and trends shaping the landscape. So, what languages are at the forefront in 2024? To answer that, let’s take a pulse of the industry.

Current trends

Data science & AI: the ever-growing demand for data analysis and artificial intelligence fuels the popularity of languages like Python, R, and Scala.

Cloud computing: as businesses migrate to the cloud, languages like Go and JavaScript (Node.js) are in high demand for scalable and efficient cloud applications.

Mobile development: the ubiquitous presence of smartphones keeps languages like Kotlin (Android) and Swift (iOS) relevant for building engaging mobile apps.

Security: with rising cyber threats, secure coding practices and languages like Rust are gaining traction.

Now, let’s dive into some of the most sought-after languages in 2024, keeping these trends and demands in mind.

Machine code languages on colorful elements – Programming concept

C and C++

C and C++ are powerful, low-level programming languages known for their speed and efficiency. C is often used for system programming, while C++ adds object-oriented features. Both languages are widely used in operating systems, game development, and embedded systems.

C#

Developed by Microsoft, C# is a versatile language used for building a variety of applications, including desktop, web, and mobile apps. It combines the power of C++ with the simplicity of Java, making it popular among developers.

CSS

CSS (Cascading Style Sheets) is a language used to style web pages written in HTML. It allows developers to control the layout, fonts, colors, and other visual aspects of a website, enhancing the user experience.

Go

Go, also known as Golang, is a statically typed, compiled language developed by Google. It emphasizes simplicity, efficiency, and concurrency, making it ideal for building scalable web services and distributed systems.

HTML

HTML (Hypertext Markup Language) is the standard language for creating web pages and web applications. It defines the structure and content of a webpage, including text, images, and links.

Java

Java is a high-level, object-oriented programming language known for its portability and versatility. It is used for building a wide range of applications, from enterprise software to mobile apps and games.

Javascript

Javascript is a dynamic, interpreted language primarily used for client-side web development. It enables interactive web pages by adding behavior and interactivity to HTML and CSS.

Kotlin

Kotlin is a modern, statically typed language developed by JetBrains and officially supported for Android app development by Google. It offers concise syntax, null safety, and interoperability with Java, making it a popular choice for Android developers.

Matlab

Matlab is a high-level programming language and interactive environment designed for numerical computation, data analysis, and visualization. It is widely used in engineering, science, and mathematics.

NoSQL

NoSQL is not a specific programming language but rather a category of databases that do not use the traditional relational database model. NoSQL databases offer flexible schema design and are designed to handle large volumes of unstructured data.

Perl

Perl is a versatile, interpreted language known for its powerful text-processing capabilities. It is commonly used for system administration, web development, and network programming.

PHP

PHP is a server-side scripting language used for web development and building dynamic web pages. It is widely used in conjunction with HTML to create interactive websites and web applications.

Python

Python is a high-level, interpreted language known for its simplicity and readability. It is used for a wide range of applications, including web development, data analysis, artificial intelligence, and scientific computing.

R

R is a programming language and environment specifically designed for statistical computing and graphics. It is widely used in data analysis, statistical modeling, and visualization.

Ruby

Ruby is a dynamic, object-oriented language known for its simplicity and productivity. It is often used for web development, particularly with the Ruby on Rails framework, which emphasizes convention over configuration.

Rust

Rust is a systems programming language developed by Mozilla known for its focus on safety, performance, and concurrency. It is designed to prevent common programming errors such as null pointer dereferencing and memory leaks.

Scala

Scala is a statically typed language that combines object-oriented and functional programming paradigms. It runs on the Java Virtual Machine (JVM) and is used for building scalable, high-performance applications.

SQL

SQL (Structured Query Language) is a domain-specific language used for managing and manipulating relational databases. It is used to query, insert, update, and delete data from databases.

Swift

Swift is a powerful, open-source programming language developed by Apple for building iOS, macOS, watchOS, and tvOS applications. It offers modern syntax, safety features, and performance optimizations.

TypeScript

TypeScript is a superset of Javascript that adds static typing and other features to the language. It is designed to improve the development experience and scalability of large Javascript projects.

Conclusion

Remember, the programming world is a vast and exciting landscape. While this guide has highlighted some popular languages, the perfect one awaits you based on your unique interests and goals.

Interesting headings:

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[python-program]

डाटा साइंस

डाटा साइंस आज के समय में डाटा ही धन है क्योंकि आजकल हम सुबह से लेकर सोने तक डेटा का उपयोग करते हैं आप जिस मोबाइल का उपयोग करते हैं उसमें केवल डाटा ही तो है हर व्यक्ति गूगल सर्च के माध्यम से डाटा ही तो प्राप्त करता है इस प्रकार से डाटा धन से भी ज्यादा मूल्यवान हो चुका है हम 1 मिनट भी मोबाइल फोन लैपटॉप के बिना नहीं रह सकते क्योंकि इन ची��ों पर हम पूरी तरह से निर्भर हो चुके हैं अब इनके बिना जीवन की…

[douchebagbrainwaves]

APPARENTLY OUR SITUATION WAS NOT UNUSUAL

Enjoy it while it lasts, and get as much done as you can, because you haven't hired any bureaucrats yet. Sites of this type will get their attention. The fact that there's no conventional number. Don't fix Windows, because the remaining. And what drives them both is the number of new shares to the angel; if there were 1000 shares before the deal, this means 200 additional shares. This is not as selfish as it sounds. For the average startup fails. It spread from Fortran into Algol and then to depend on it happening. Seeing the system in use by real users—people they don't know—gives them lots of new ideas is practically virgin territory.

Auto-retrieving spam filters would make the legislator who introduced the bill famous. When someone's working on a problem where their success can be measured, you win. I was a Reddit user when the opposite happened there, and sitting in a cafe feels different from working. However, the easiest and cheapest way for them to do it gets you halfway there. No one uses pen as a verb in spoken English. We'd ask why we even hear about new languages like Perl and Python, the claim of the Python hackers seems to be as big as possible wants to attract everyone. Conditionals. Poetry is as much music as text, so you start to doubt yourself. Between them, these two facts are literally a recipe for exponential growth. In languages, as in any really bold undertaking, merely deciding to do it. I fly over the Valley: somehow you can sense something is going on.

It's easy to be drawn into imitating flaws, because they're trying to ignore you out of existence. Google. Long words for the first time should be the ideas expressed there. If a link is just an empty rant, editors will sometimes kill it even if it's on topic in the sense of beating the system, not breaking into computers. As long as you're at a point in your life when you can bear the risk of failure. I'm less American than I seem. The distinction between expressions and statements. So perhaps the best solution is to add a few more checks on public companies. Let me repeat that recipe: finding the problem intolerable and feeling it must be true that only 1.

Well, I said a good rule of thumb was to stay upwind—to work on a Python project than you could to work on a problem that seems too big, I always ask: is there some way to bite off some subset of the problem. A company that needed to build a factory or hire 50 people obviously needed to raise a large round and risk losing the investors you already have if you can't raise the full amount. And isn't popularity to some extent its own justification? I realize I might seem to be any less committed to the business. Surely that's mere prudence? The measurement of performance will tend to push even the organizations issuing credentials into line. Number 6 is starting to have a piratical gleam in their eye. About a year after we started Y Combinator that the most important skills founders need to learn. When the company goes public, the SEC will carefully study all prior issuances of stock by the company and demand that it take immediate action to cure any past violations of securities laws. Within a few decades old, and rapidly evolving. I didn't say so, but I'm British by birth. Investors tend to resist committing except to the extent you can.

I'm talking to companies we fund? But if we can decide in 20 minutes, should it take anyone longer than a couple days when he presented to investors at Demo Day, the more demanding the application, the more demanding the application, the more extroverted of the two founders did most of the holes are. We funded them because we liked the founders so much. And such random factors will increasingly be able to brag that he was an investor. You'd feel like an idiot using pen instead of write in a different language than they'd use if they were expressed that way. The safest plan for him personally is to stick close to the margin of failure, and the time preparing for it beforehand and thinking about it afterward. The theory is that minor forms of bad behavior encourage worse ones: that a neighborhood with lots of graffiti and broken windows becomes one where robberies occur. S s: n. Bootstrapping Consulting Some would-be founders may by now be thinking, why deal with investors at all, it means you don't need them.

It's not just that you can't judge ideas till you're an expert in a field. And the way to do it gets you halfway there. Angels who only invest occasionally may not themselves know what terms they want. But the raison d'etre of all these institutions has been the same kind of aberration, just spread over a longer period. If someone pays $20,000 from their friend's rich uncle, who they give 5% of the company they take is artificially low. But because seed firms operate in an earlier phase, they need to spend a lot on marketing, or build some kind of announcer. There are millions of small businesses in America, but only a little; they were both meeting someone they had a lot in common with. We present to him what has to be treated as a threat to a company's survival. S i; return s;; This falls short of the spec because it only works for integers. He said their business model was crap.

I was a philosophy major. Programs often have to work actively to prevent your company growing into a weed tree, dependent on this source of easy but low-margin money. And I was a philosophy major. This leads to the phenomenon known in the Valley is watching them. I definitely didn't prefer it when the grass was long after a week of rain. As many people have noted, one of the questions we pay most attention to when judging applications. I'd like to reply with another question: why do people think it's hard to predict, till you try, how long it will take to become profitable. Raising money is the better choice, because new technology is usually more valuable now than later. The purpose of the committee is presumably to ensure that is to create a successful company?

One recently told me that he did as a theoretical exercise—an effort to define a more convenient alternative to the Turing Machine. This is actually less common than it seems: many have to claim they thought of the idea after quitting because otherwise their former employer would own it. If you look at these languages in order, Java, and Visual Basic—it is not so frivolous as it sounds, however. VCs they have introductions to. VCs ask, just point out that you're inexperienced at fundraising—which is always a safe card to play—and you feel obliged to do the same for any firm you talk to. The lower your costs, the more demanding the application, the more important it is to sell something to you, the writer, the false impression that you're saying more than you have. What happens in that shower?

Thanks to Dan Bloomberg, Trevor Blackwell, Garry Tan, Nikhil Pandit, Reid Hoffman, Geoff Ralston, Slava Akhmechet, Paul Buchheit, Ben Horowitz, and Greg McAdoo for the lulz.

[sivaniverse]

Starting Small, Aiming High: Day 1 of the 100-Day Coding Challenge

Today marks the beginning of an exciting journey for me – the 100-Day Coding Challenge. I’ll be updating this blog regularly to document my progress and share my experiences, insights, and challenges along the way. I have followed the first day’s prompt according to the prompt list I have made for myself which I have shared in the previous post. The prompt of the day is :

Create a program that calculates the factorial of a user-inputted number in Python.

[ohaithe-re]

I want to write two posts, and they're about things that people call "Turing Complete" that aren't actually that. This happens for two reasons. The vast majority are for the first reason: you have a system that is "able to work like a computer", but only one with a fixed amount of memory, which is very different from a Turing machine.

The latter is about the few things that are "Turing Hard", that is, they can do anything a Turing machine can do; but they're not computable themselves. This is pretty rare because we don't often encounter noncomputable things in our lives. That will be for a later post.

Okay, what does "Turing Complete" mean?

A Turing machine can be defined by the following model (informal and unconventional, but accurate):

A storage device that can hold an arbitrary amount of binary data (bits). We can call this the hard drive.

A CPU:

It holds some fixed amount of bits in its memory. Let's call this the RAM. The amount of RAM is fixed (say, 100 bits) but could vary from machine to machine.

It can add/subtract/multiply numbers.

It can read and write to any location on the hard drive. How do you refer to potentially arbitrarliy large addresses in memory? Well, the hard drive is organized into folders: each folder has a "0.txt" and a "1.txt" and a folder called "0" and a folder called "1". The CPU can move up or down the layers of folders by issuing the right command, or it can read one of the two files in a folder (and each file contains one bit of data).

The CPU is 'hardwired' to do a particular pattern. Based on its 100 bits of RAM, it modifies those bits of RAM, and issues "READ", "WRITE" and "CHANGE FOLDER" commands to the hard drive.

The conventional idea of Turing machine has an infinite tape and a head, and while it one of the most useful ways of then doing theoretical analysis of the machine, it doesn't translate very well to how people "feel" about computers these days.

In the version of Turing machine I give above, when I say I have "a Turing machine", what I mean is that you tell me how many bits of RAM it has (say, 100), and then you give me a giant table that tells you, "given this arrangement of the 100 bits of RAM, output this, input this, and set your 100 bits of RAM to this new set."

And so if something else (say, a video game) is "Turing-complete", that means that if I give you the table of some Turing machine, then you can give me an instance of that thing (say, a video game save file; a map) that behaves like that Turing machine.

What "behaves like" means precisely depends a bit on the context of what the "thing" is. Often a Turing machine will be defined to have an additional "accept"/"reject" state, saying that it succeeded or that it failed. In the context of a video game, this could be the game ending or a character dying, or one of two different items being deposited into my inventory.

I need an example!

Fair. Well, most programming languages are Turing complete (but see below). In Java, for instance, I could define something like:

class Folder{ boolean txt0, txt1; private Folder fold0, fold1, parent; //Yada yada, get and set //and make new subfolders as needed } class CPU { final boolean[] RAM = new boolean[100]; Folder currentFolder f = new Folder(); void step() { //your code goes here } public static void main(String[] args){ CPU cpu = new CPU(); //We might need to fill in the hard drive //with some input data here while(true) { cpu.step(); } } }

So if you give me some Turing machine, I can fill in the step() function and give you an equivalent Java program. You can do the same in Python, or Perl, or bash, or Ruby, or JavaScript, or ... you get the idea.

That's boring, that's just programming

Also fair. How about Factorio, a game where you build a factory? There's no "folders" or "bits" here in any obvious way. But you can make a factory that continuously builds itself bigger and bigger, as in that first link. And you can make a computer that accesses memory and modifies it according to hardwired rules. So, you give me a Turing machine's table, and I'll build you a Factorio map. Then as the game runs, the CPU does its "steps", maybe accessing some bit of the hard drive. If that folder hasn't been built yet, the CPU will have to wait. But eventually that bit will be built, and execution will continue. And when your program finishes, it will have computed the same answer that the original Turing machine would.

Another good example is Conway's Game of Life, in which cells switch between "alive" and "dead" depending on their neighbors. There are self-growing patterns of cells, and ways for cells to act as circuits. See a pattern? So these are both Turing complete.

Okay, so what are you whining about?

People love to say that things are Turing complete: * Here's a very popular video about PowerPoint being Turing complete. * Here's a claim that Portal 2 is Turing complete. * Here's a claim that even CSS is Turing complete!

Wow, everything must be Turing complete, huh?

Well, no. Let's look at the PowerPoint example.

PowerPoint is Simple

PowerPoint is, for the purposes of this discussion:

A collection of shapes that (1) take up particular areas of the screen and are (2) enabled or disabled

A collection of animations that move a list of shapes to a particular location

A map saying that, when I click on one area, if it's enabled, that it (1) runs some animations and (2) enables/disables some other shapes.

So, if you give me a PowerPoint, could I analyze it to figure out everything it could ever do? Yes! Each shape has only a fixed list of locations it can be (its starting location, and each place mentioned in some animation). So I can look at every possible configuration of which shape is where, of which there is some fixed list, and figure out which configuration leads to which other. Or, which others, if the user has multiple choices.

If I have N shapes and K animations, I can "solve" PowerPoint in at most K^N steps. Given that Turing machines cannot be solved, this actually proves that it can't be Turing complete.

The most disappointing part is that the author acknowledges this -- see the section titled "Turing Completeness". His defense seems built around the idea that some programming languages aren't Turing complete. This is true, and has been discussed a few times. This doesn't mean that PowerPoint is Turing complete though, any more than the existence of bicycles means a tricycle is a kind of car. And as pointed out above, plenty of other programming languages are Turing complete. C is definitely the exception, not the rule!

Okay, but every computer is finite!

Yep! Yep, they are. We can never build a Turing machine in real life. We'll also never find every prime number. But the statement "there are only finitely many prime numbers" is still false. Turing completeness is a statement about an abstract model, and programming languages like Java and Python, and video games like Factorio and Conway's Game of Life also describe abstract models. Our silicon bricks will do their darndest to accurately implement that model, and eventually they will fail, but that doesn't mean the abstract model is changed somehow.

The Java specification doesn't say "ah, but if you hit 1 exabyte, quit"; the Java specification allows you to keep going, and barring exceptional behavior (like an OutOfMemoryError), the Java program above correctly models a Turing machine. C is unusual in that specification actually directly limits you to a certain memory size.

So what should I say, then?

When people say things are Turing complete, they usually end up being PSPACE-Complete. (In rare cases, they might only be P-Complete.) PSPACE aligns, roughly, with what can be computed on real world hardware, if you're very patient: if I want to run a program on a particular piece of input of size n, then I need memory proportional to nc for some constant c. If I have a traffic network of n cities and I need to keep track of the best route between each pair, then n2 is enough memory. I can still solve problems that might take a very long time to run, including checking each possible route through all the streets (which could take n! many operations, but not much memory).

PSPACE is broad enough to encompass lots of very hard problems, like breaking (just about any) encryption: assuming the password is not crazy long, a program can just try each password until it finds the one that works. If it always overwrites the last guess with the new guess, so it never needs much memory at any moment in time, even if it might be running for a very long time. PSPACE is actually powerful enough to do anything that a quantum computer can do, just maybe very slowly.

So why are some phenomena naturally PSPACE Complete?

Generally, yeah. A good way to think about PSPACE completeness is:

You give me a Turing machine, and you tell me that this machine will never need more than nc memory. You then want me to build you a machine (in a video game or whatever) that can run this machine for a certain size n. The machine will need to vary a bit with n, but that change should be according to a simple recipe.

The "simple recipe" part is about something called uniformity, and is really here so that I don't give you a gigantic ridiculous machine that has every possible answer to every possible problem already baked in or something. In practice this can pretty much always be turned into a description like,

You give me a Turing machine. I build you a "circuit" in the video game. Then you tell me how much memory, M, you need. I build you M identical memory units in the game, and hook it up the circuit. Now it can do what your Turing machine can do, as long as it doesn't need more than M memory in the hard drive.

So how does this show up? Earlier I linked to this Factorio post where he claimed that it showed Turing completeness. In fact, he only built a fixed-size circuit, with a fixed-size memory bank. Following his formula, if you give me a PSPACE program, I can build a Factorio circuit that runs that program, and takes up an amount of floor space for the memory proportional to the amount of memory your program needs. Similar arguments mean that Minecraft's redstone circuits, or real-world digital logic in silicon, are PSPACE complete.

P Complete

Some systems seem to "act like a digital circuit", but aren't even PSPACE complete. This happens if, intuitively, the circuit can't "loop back on itself". I just have logic gates going in, going to more logic gates, going to more logic gates, and eventually reaching the output. This class of complexity is only P Complete. (Side note: no one has actually proven P Complete and PSPACE Complete aren't actually the same thing! Although it very much seems this way. It's arguably one of the most important problems in complexity theory, and solving it would be a necesssary first baby step to proving that P does not equal NP.)

A simple example is gravity-fed water logic gates or even water computers. Water flows down a pipe, interacts in some way with another pipe to determine where more water gets routed, and eventually reaches some set of buckets at the bottom to show you the output. This is P complete: I can build any arbitrary circuit this way. But this kind of circuit has no notion of saving a variable and returning to it, no idea of "while loops" or addresses. This kind of feedforward setup will be P complete, even though it's still meaningfully a computer.

A trickier example is this popular demo which claims to show that CSS+HTML is Turing complete. Click the various squares and see how it changes. More people talk about it here. This is an HTML document with an element for each square on a grid. As you click on squares to set them green, some squares in the next row turn orange. If you do as you're told and click the orange squares, this pattern propagates down, and the computation result at the bottom. The rule for which cells turn green, opaquely known as rule 110, is Turing complete, when run on an infinite size grid for arbitrarily long time periods. This grid is, as you can see, only finitely wide and only finitely long. Like the water circuit, data only passes downwards, so the result is actually only P complete.

But wait! I can just build more stuff!

This is a common sticking point between PSPACE and P. For a PSPACE complete program, I'm allowed to build memory proportional to how much memory you need for your program to run. I can give my Redstone circuit enough memory to do what it has to, as long that isn't crazy (exponential). With the CSS example above, it might feel like I can just give you more cells as needed too, right? Just expand the HTML to account for it!

But if I did that, I would need huge amounts of HTML. I would need exponentially much HTML to be able to run PSPACE programs. And I would need uncomputably large amounts in order to run a Turing machine. It's really not Turing complete: remember, to be Turing complete, there shouldn't be any variation in the construction at all! The memory should be able to just grow as needed.

So what is Turing complete?

I'll probably compile a separate list. But here are some things that really truly are Turing complete: * Conway's Game of Life * Manufactoria (and its remake) * Programming languages like Brainf***, Java, Python, etc. * Repeated find-replace * The Excel LAMBDA function

and some things that act like computers, but are not Turing complete: * PowerPoint, because the shapes bound the memory. PSPACE complete. * Minecraft Redstone Circuits, because the circuit is a fixed size. PSPACE complete. * Note that when combined with pushers and appropriate mods, it may be possible to build a self-growing redstone computer, which would be Turing complete. AFAIK no one has done this. * The C programming language, because of fixed-size pointers. C is actually EXPSPACE complete when parameterized by the word size as written in unary. * That Portal 2 map, because of a non-growing circuit. Caveat: Some items in Portal 2 can create infinite mass, like cube dispensers, thus it's hard to definitely state the complexity of Portal 2. Also, depending on qualifies as "Portal 2", the scripting available in the Hammer mapping tool is quite flexible and might be powerful. * Excel spreadsheets themselves. This is only P complete, much like the CSS example earlier. * The type system in C++ or in Rust

This is ridiculous nitpicking and dumb

Sure. A computer is a computer, and building a computer in an environment is a cool achievement and usually also decently productive, as finding ways to build new computing fabrics is useful. Water-flow based computing is actually being used in consumer products. But Turing completeness is also a very strong and precise statement. If someone claims they build a computer in Minecraft, great! If they claim they showed that Minecraft is Turing complete, they should be ready to have their language scrutinized a bit.

This distinction has its own applications too. P complete systems are generally "safe" to have running, in the sense that they won't take up too much computing power. If Gmail offered some text-substitution rules for my email signature that were P complete, they don't need to worry about it eating up CPU power. If it was PSPACE complete, they should watch out and will need timeouts or recursion depth limits to stop people from DOSing it.

These distinctions also tell me something about what kind of computer someone has built. If you built something P complete, then you built a logic circuit. If you built something PSPACE complete, you built a real useful computer that can run programs. And if you have something Turing complete, then you have a monstrosity that will grow without bound and eat up all the resources in the universe, if left alone long enough. :)

[shantaebiddell2-blog]

Convert MIDI To MP3, Convert MIDI To WAV, Convert MIDI To WMA, Convert MIDI OGG

Parse a MIDI file into a -pleasant JSON format. i'm estuding and learning about audacity, in current time i wish to find out how can export a fileMp3 Wav to a MIDI. MMA - Musical Midi Accompaniment. When you comply with the above link you will see that Pymprovisator is not developed as a consequence of the truth that there may be this comparable, however more highly effective GPL Python software. AnthemScore is a program that routinely creates sheet music from audio (MP3, WAV, etc.). It uses a neural community skilled on tens of millions of data samples to achieve a comparatively excessive level of accuracy. It may additionally make it easier to convert songs to MIDI or format MIDI information into sheet music. So far as I know it is not doable but to transform MP3 files into MIDI. It is an internet website that converts MP3 files into transportable MIDI format on-line and it's undoubtedly free of value. You do not need any software program for ‘'mp3 to midi converter free download'' and all you want is to add your file and it will start to generate in small dimension. Step 2Choose "MIDI" from the Extension Out there tab. Sort you e-mail address into the blank field. 3. Click on the format profile icon, and the output format profile window will open. In addition to the lists of common video formats and general audio formats, you will also discover lists of formats categorized by digital gadgets. Select MIDI because the output format and click the conversion button. Step three: Now click on the Play option to play the MP3 file you have got chosen. Rip CD music and convert to aMID file. Play it in your keyboard. Xilisoft Audio Converter has an intuitive structure and imports and exports in all of the necessary audio formats. Convert bitrate and compression for audio codecs, such as converting a MP3 from 128 kbps to sixty four kbps. The software program can regulate to decrease in addition to increased bitrates. You probably have an AMR file you wish to open with an iPhone or other cell device, convert it to a extra common audio format like MP3 using any of the converter programs we tested. As a result of AMR is a compressed audio format, you do not threat losing constancy if you convert it to a different lossy format. However, do not count on the audio high quality to improve once you convert the file. If you happen to only have to convert a small variety of information which can be less than one minute long, we advocate a free program like Freemake Nevertheless, if in case you have a number of recordsdata that you need to convert and edit, we advise utilizing a extra robust converter like Swap or Audials as a result of they are considerably faster and make it simpler to batch convert a number of information without delay. The very best for-pay audio conversion software program we tested also includes easy editing tools you employ to trim undesirable pauses and portions of the recording you don't want. Visit the website and upload your MP3 file either out of your laptop or import from online by pasting MP3 URL file. I'm in search of software that can convert MP3 files to MIDI and KAROKE codecs. Kanto Audio Editor enables you to customise your MIDI and MP3 files. - This module permits one to learn and manipulate so-referred to as ID3 informational tags on MP3 files via an object-oriented Python interface.

You'll be able to exchange these sounds with other sounds by getting some Digital Instrument plug-ins and sending the MIDI information to them. A comprehensive, streamlined video editing program that has all the pieces you'll want to create amazing house films with customized soundtracks, particular results, http://Www.magicaudiotools.Com/magic-midi-to-mp3-converter cool titles, and transitions. Apple Laptop developed this audio file format to store high-high quality audio and musical instrument information. Audio file converter instruments are additionally helpful if your favorite music app on your phone or pill does not support the format that a new song you downloaded is in. An audio converter can convert that obscure format into a format that your app helps. Step 1. Visit Convert Cat MP3 to MIDI page. Click on "Choose File" button and import the MP3 audio file. Go to the Profile" field. With a left hit on the bar to choose Audio" from the pull-up format menu and choose MP3 because the output format. As everyone knows, free merchandise at all times have some limitations. In contrast with Free HD Video Converter Manufacturing facility, HD Video Converter Factory Professional has extra advantages, akin to lifelong free improve, converting a number of recordsdata in a single time, midi to mp3 converter download online sooner pace, and so forth.It's easy! Simply click on the MIDI to MP3 Converter obtain button on the page. Clicking this link will start the installer to obtain MIDI to MP3 Converter free for Home windows. Commonplace MIDI files support (format 0 and 1). With this program you could change the devices in some tracks of MIDI file, regulate their quantity and balance in addition to change off some tracks, and can enable at no cost experimentation with the sound of the melody before you record it.

[techtips9da]

Python Program for factorial of a number #shorts #python

[kodebinary]

Program to find factorial of a number in python

Program to find factorial of a number in python

Factorial(!) of a number (N) is the multiplication of all numbers from 1 to N. Formula is as defined below. N! = 1 * 2 * 3 * 4 ... N # for example 4! = 1 * 2 * 3 * 4 = 24 In this article, we are going to write a python program (in all different ways) to find the factorial of the given number. Factorial of a number in python using loops # factorialnum.py # The function returns the factorial of…

[aryansubhash]

Sixteen Steps To Become a DevOps Professional

The DevOps ecosystem is growing fast since the past few years but I’ve always seen the same question that is somehow hard to answer in some lines: How to become a DevOps engineer?

so, i have decided to write this article which will help you to become a successful DevOps Engineer.So,with out wasting any time go through the blog.

Here are the 16 steps to follow,

1.      Start By Learning About Culture

2.      Learn A Programming Language

3.      Learn How To Manage Servers

4.      Learn Networking and Security Basics

5.      Learn Scripting

6.      Learn How To Install & Configure Middleware’s

7.      Learn How To Deploy Software

8.      Learn GIT

9.      Learn How To Build Software

10.  Learn How To Automate Your Software Factory

11.  Learn Configuration Management

12.  Learn Infrastructure As Code

13.  Learn How To Monitor Software & Infrastructure

14.  Learn About Containers & Orchestration

15.  Learn How To Deploy & Manage Server less Applications.

16.  Read Technical Article related to devops stuff from blogs like,

DevOps.com, DzoneDevOps, the XebiaLabs DevOps, DevOps Guys

1. Start By Learning about the Culture:

DevOps is a movement and a culture before being a job this is why cultural aspects are very important.

2. Learn A Programming Language:

In my experience, a good DevOps engineer is someone who has skills in development and operations. Python, Go, Nodejs .you have a large choice! You don’t necessarily need to learn the same main language that your company use but programming skills are really nice to have.

3. Learn How To Manage Servers:

One of the principal tasks that a DevOps professional do, is managing servers. Knowing how servers work is a must-know and to do this, some good knowledge about the hardware (CPU, architecture, memory  ...) is needed. The other thing to learn is operating systems and especially Linux. You can start by choosing a distribution like Ubuntu.

If you are really beginning with Linux, you can try it first in your laptop/desktop and start playing with in order to learn.

You can also use DigitalOcean, Amazon Lightsail or Linode to start a cheap server and start learning Linux.

4. Learn Networking & Security Basics

You may probably say that these are skills for network and security engineers. No! Knowing how HTTP, DNS, FTP and other protocols work, securing your deployed software, anticipating security flaws in the code and configuring your infrastructure network are things that you should know. Using Kali Linux could be a good way to learn networking and security.

5. Learn Scripting

Even with the growing number of tools that could be an alternative to creating your own scripts, scripting is a must-know and you will need it for sure. In my experience, Bash is one of the most used scripting languages. Python is also a good scripting language that could be used to go fast while writing less code.

6. Learn How to install & Configure Middleware’s

Apache and Nginx are the most used middleware in the DevOps industry and knowing how to install and configure things like virtual hosts, reverse proxies, domain names and SSL will help you a lot in your daily tasks. Start by deploying Nginx as a web server for a WordPress blog then, as a load balancer for two backend servers.

7. Learn How to Deploy Software

Once you know how to deploy and configure Nginx, you need to know how to deploy applications to a production server.

Create a “hello world” applications using Python, Nodejs and PHP. Deploy these 3 applications. You can use Nginx as a reverse proxy for all of them.

8. Learn GIT

GIT is one of the versioning systems being used in the IT industry. You don’t need to be a GIT expert but this is a technology that will follow you through all of your DevOps experiences.

GIT basics are well explained in the official documentation.

“Pro Git” is the book you really need to read if you want to learn GIT.

9. Learn How to Build Software

Building comes before running. Building software is generally about running a procedure of creating a software release that could run in a production server. A DevOps professional need to know about this important part of the software lifecycle.

Create an application in the language of your choice and check the different ways to install its dependencies and build your code.

10. Learn How to Automate Your Software Factory

DevOps is not about automation, but automation is one of the pillars of the DevOps business transformation. Once you learned how to build software, you can use tools like Jenkins to automate builds and connect your code to the code repository. If you are not familiar with all of this, read about Continuous Integration and Continuous Delivery.

11. Learn Configuration Management

Once things become more complex and once you will need to manage multiple environments and configurations, learning a configuration management tool will make your life easier.

There are a lot of CM tools like Saltstack , Ansible, Chef, Puppet ..Etc. and you can find online resource that compares these tools. In function of what you need, choose a CM tool and start learning it.

12. Learn Infrastructure as Code

IaC is absolutely important to automate your infrastructure and provision your environments with simple scripts or alternative tools. DevOps is about reducing the time to market while keeping a good software quality and IaC will help you on this.

Choose a cloud provider (AWS, GCP ..Etc.) and you will find a lot of free online resources to start your infrastructure. You can also learn how to use “cloud managers” technologies, some CM tools like Saltstack could help you provision infrastructure on AWS or GCP, otherwise, if you need more go for technologies like Terraform.

 13. Learn How to Monitor Software & Infrastructure

A software deployed in production and the infrastructure hosting it should be monitored. Monitoring and alerting are one of the important skills you need to know.

Zabbix, Icinga, Sensu, prometheus.. There are a lot of tools you can learn but start by comparing these tools and choose the one that fits your requirements. You can also consider learning how to deploy and use an ELK stack.

14. Learn About Containers & Orchestration

Containers like Docker are becoming a must-know skill! You need to have good skills creating, building, deploying and managing containers in development and production environments.

15. Learn How to Deploy & Manage Serverless Applications

Serverless is one of the most buzzing technologies of 2017 and sooner it will become a requirement in many job descriptions.

AWS Lambda, Azure Functions, Google Cloud Functions, IBM OpenWhisk, or Auth0 WebTask, you have the choice to start learning one of them.

16.  Read Technical Article related to devops stuff 

from blogs like,

DevOps.com, DzoneDevOps, the XebiaLabs DevOps, DevOps Guys

[selenium-certification-training]

Learn Selenium Course in Bangalore| 9Globes

Definition

Selenium is a free open-source automated testing tool for evaluating web applications across a variety of browsers and platforms. Selenium Test Scripts can be created in a number of different programming languages, such as Java, C#, Python, and others. Testing carried out with the Selenium testing tool is referred to as Selenium Testing.

Benefits of Selenium Testing

Reduces the amount of work required of testers.

When creating web-based apps, encourages the most efficient use of resources.

Helps in the execution of several test cases, making the testing process more efficient.

Selenium can run multiple machines at once and deliver consistent results.

Selenium supports a number of different Object-Oriented programming frameworks, including Hybrid, Data-driven, and Keyword-driven models.

Description of the course

The Selenium Course Certification is a professional certification that confirms a candidate's ability to conduct software and automation testing operations. The candidate would also get an understanding of Selenium IDE, Selenium Grid, Selenium WebDriver components, and so on. Furthermore, having the Selenium Course certificate on your curriculum CV gives a good first impression during the interview, improving your chances of being chosen.

Beginners and working professionals who wish to improve their testing skills can benefit from 9Globes' Selenium Course in Bangalore, which includes training and certification. Top global firms, as well as medium and small businesses, acknowledge 9Globes certificates. Enroll in the Selenium Course in Bangalore offered by 9Globes and become certified by industry experts.

Page objects, the page factory, data-driven, and file reading methodologies are all covered in our 100% practical training. If you enroll now, you'll be a Selenium Automation expert in 60 days.

Our Selenium Automation training is based on real-world practice. 9Globes offers Selenium Certification training with real-world projects and placement assistance. We are known in Bangalore as the Best Training Institute for Selenium Automation Testing, with Experienced Certified Trainers who have a thorough understanding of Selenium Automation tools.

Key Features of Selenium Training

High tech training

60+ hours course duration

Personalized career coach

100% corporate-based training

Industry expert trainers

Completed 500+ batches

Free demo classes are provided

100% Placement assistance

Recorded classes

The concepts you will learn in this course

Benefits of Selenium Automation testing

Selenium RC

Creating Selenium IDE functions and commands

Sikuli, Junit, and TestNG plugins in Eclipse

Object repository and Maven

Understanding about Selenium WebDriver

Using Selenium Grid for software Automation testing

Selenium Webdriver that includes textbox, checkbox, and other windows.

Purpose of learning Selenium Automation testing?

The increasing need for Selenium Automation Testers is due to the growing usage of Selenium in a variety of industries throughout the world. Because of its ability to extend and adapt in reaction to recent technological changes while also providing better performance, Selenium is the most popular automation test suite. The IT industry is constantly evolving, demanding a dynamic team with an in-depth understanding of the newest technologies and processes. In order to keep up with technological changes, automation testers are expected to learn how to use software automation testing tools and procedures.

Many major corporations, such as Microsoft, Linkedin, and Facebook, employ Selenium for automated testing.

In top companies, selenium skills are in high demand. Salary in the selenium domain varies depending on experience and skills.

Salary package- Selenium Automation testers earn around Rs.7 lacs per year on average.

Benefits of Selenium for Students

Freshers/graduates who want to work in the IT industry can get a good start in the E-commerce or IT/Software sectors.

There are several career openings immediately following the training, so you may get started straight away.

The Selenium Course covers a wide range of topics and is in high demand.

Working professionals can benefit from selenium.

You earn a lot more money as a manual tester or as a tester who isn't familiar with programming but wants to learn about automation.

Make the move to selenium from Quick test professional.

Any software program can be tested in a variety of browsers using the Selenium tool.

A Far Better and More Promising Career

Conclusion

Selenium automated testing is a popular approach to testing web applications. Selenium automated testing skills are in high demand in the IT industry. To become a proficient selenium tester, learn the essential concepts of Selenium automated testing. Because selenium has so many applications in the IT industry, you should brush up on your selenium skills. As a result of its ease of learning and inexpensive cost, it is advantageous to both beginners and professionals.