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age = int(input("What is your age? "))

Developing the skills to become a professional programmer takes time and dedication.

First, you should focus on understanding the fundamentals of coding. Start by studying the fundamental concepts of programming logic, algorithms, software development processes, and computer architecture. You should also gain experience with one or more programming languages, such as C++, Java, JavaScript, Python, Ruby, or Rust.

Once you have a solid foundation in these areas, you can explore more advanced topics such as software engineering, web development, mobile applications, data science, game development, and artificial intelligence. With hands-on experience, you'll become better equipped to develop projects independently, or as part of a team, and gain the skills you need to become a professional programmer.

Learning Python requires experimentation, practice, and dedication. Here are some tips on how to most effectively learn Python:

1. Understand basic concepts: Before diving into writing code, spend some time in understanding the basics of programming. This will help make it easier to transition into coding with Python.

2. Take an introductory course: Courses are a great way to gain a foundational understanding of Python and learn the basics of coding. Investigate courses available in your area.

3. Experiment: Experimenting and playing around with code is a great way to get used to writing in Python. Write small scripts and programs to get used to the language.

4. Get involved in the community: Show up to local Python user groups and join online user groups on discover platforms such as Meetup and Stack Overflow. Connecting with more experienced programmers is a great way to further your knowledge and get personal help and advice.

5. Complete projects: Practicing with projects is an excellent way to get hands-on experience with Python. Replicate existing projects to give yourself a better understanding of the different aspects of coding in Python.

These tips should help you get started on your journey to learn Python. Good luck!

Python

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import stripe

# Set your secret key: remember to change this to your live secret key in production
# See your keys here: https://dashboard.stripe.com/account/apikeys
stripe.api_key = "sk_test_4eC39HqLyjWDarjtT1zdp7dc"

# Token is created using Stripe.js or Checkout
token = "tok_visa"

# Charge the user's card:
charge = stripe.Charge.create(
  amount=999,
  currency="usd",
  description="Example charge",
  source=token
)

The easiest programming language to learn may vary depending on individual background and experience. However, some languages commonly suggested as beginner-friendly include Python, JavaScript, Java, HTML, and CSS.

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def selection_sort(ls):
  for i in range(len(ls)):
      min_index = i
      for j in range(i+1, len(ls)):
          if ls[j] < ls[min_index]:
            min_index = j
      ls[i], ls[min_index] = ls[min_index], ls[i]

# Driver code
ls = [14, 21, 3, 62, 9, 39]
selection_sort(ls)
print(ls)

This program starts a function called selection_sort with a single parameter, ls. Inside the function the outer loop for i in range(len(ls)) loops through from 0 to the length of the list. The inner loop for j in range(i+1, len(ls)) will check for another index which is higher than the outer index i. The program compares every element to every other element and if the condition if ls[j] < ls[min_index]: is met, the program will choose the new index as the min_index and the values in the list will be swapped using ls[i], ls[min_index] = ls[min_index], ls[i].

The driver code creates a list of integers, then calls the selection_sort function with the list as argument. Finally the result is printed to the console.

When completed, the program will output [3, 9, 14, 21, 39, 62] to the console.

Unfortunately, it's not possible to prevent all bugs in Python. There are various techniques to try, such as using a linter to identify and fix common bugs before executing code, as well as static analysis tools for complex analysis. However, coding standards, unit testing, and refactoring can help to reduce errors in the code.

Empirical data is data collected through observations or experimentation. It is data that is recorded based on actual experience and is used in the development of theories, laws, and principles.

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import matplotlib.pyplot as plt

borough = ['Westminster','Newham','Tower Hamlets','Brent','Kensington & Chelsea','Hammersmith & Fulham','Greenwich','Hackney','Lewisham','Wandsworth','Lambeth','Enfield','Croydon','Southwark','Islington','Haringey','Harrow','Richmond upon Thames','Barnet','Waltham Forest']

smokecnt = [118485, 43739, 42434, 36055, 34136, 32518, 30399, 28007, 26441, 24141, 23481, 22387, 20122, 18703, 18339, 16294, 16048, 15871, 15742, 14635]

# Chart
plt.figure(figsize=(12,7))
plt.bar(borough, smokecnt, color='r')

# X-axis
plt.xticks(rotation=45, ha="right")
plt.xlabel('Borough')

# Y-axis
plt.ylabel('Total number of smokers in 2010')

# Title 
plt.title('Number of smokers in London, in 2010, per borough.')

# Show Plot
plt.show()

Unicode is a computing industry standard for the consistent encoding, representation, and handling of text expressed in most of the world's writing systems. Non-Unicode is the older character encoding system that does not support Unicode characters. Non-Unicode systems use one byte (8 bits) to represent each character, so it can only support 256 characters at most. Unicode uses two bytes (16 bits) to represent each character, allowing it to support 65,536 unique characters.

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import cv2

# Load the image in greyscale
img = cv2.imread('image.jpg', cv2.IMREAD_GRAYSCALE)

# Blur the image using a Gaussian filter 
img_blur = cv2.GaussianBlur(img, (7, 7), 3)

# Use Otsu segmentation to get a binary mask
ret, mask = cv2.threshold(img_blur, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)

# Apply mask to the original image
final_img = cv2.bitwise_and(img, img, mask=mask)

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def long_names(list_of_names):
  return list(filter(lambda name: len(name) > 5, list_of_names))

list_of_names = ["Jason", "Elliott", "Chanda", "Kumquat", "Fiona"]
print(long_names(list_of_names))

Output: ['Elliott', 'Chanda', 'Kumquat', 'Fiona']

The hardest type of coding is relative and depends on a variety of factors, such as the complexity of the task, the language being used and the skill level of the coder. Some of the most challenging coding tasks include artificial intelligence and machine learning, distributed systems, and browser-based applications.

You can use the strftime function in Python to format a date as an ordinal number. For example, if you have the datetime object date:

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import datetime
date = datetime.date.today()

You can apply the strftime function to your date:

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date_ordinal = date.strftime("%-d")

The syntax %-d will return the day of the month as an ordinal number. For example, if today is the 1st of November, it will return "1st". You can find more information in the the Python docs.

To code degrees celsius, you can use a code block to define a function that converts Celsius to Fahrenheit. In Python 3, this function could look like this:

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def celsius_to_fahrenheit(celsius):
  fahrenheit = celsius * 9/5 + 32
  return fahrenheit

Yes, you can use Unicode emoji characters in your apps. For example, in Python you can use the Unicode escape sequence \U to insert an emoji character into a string, like this:

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print("\U0001F600")

This will output a smiling face emoji, which looks like this: 😀

Python is a programming language that uses objects, classes, and variables to create, store, and manipulate data. It is a high-level language, meaning it is highly abstracted from the computer's physical hardware, making it easier to read and write. Python is an interpreted language - it is not compiled, rather it is translated into a form the computer understands at runtime. Python uses statements and code blocks to structure tasks and handle different cases; This enables users to develop complex programs in a fraction of the time it takes to write the same code in a language such as C++. You can find more information about Python here.

A Python Minesweeper Solver is a program that solves a Minesweeper game automatically. Minesweeper is a logic puzzle game where the goal is to reveal all locations on a board that do not contain any mines.

A Python Minesweeper solver can be implemented by using recursive backtracking which is a type of brute-forcing search algorithm. The algorithm will recursively search through all possible solutions, and if it runs into a solution that works, it will keep going until all the mines have been revealed.

The following code is a sample Python Minesweeper Solver that finds all possible solutions to a given Minesweeper board:

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def mine_sweeper_solver(row, col, board):
    if board[row][col] == '*':
        board[row][col] = 'B'
        return True

    if board[row][col] != '.':
        return False

    board[row][col] = 'F'
    for (i, j) in valid_moves(row, col, board):
        if mine_sweeper_solver(i, j, board):
            board[i][j] = '*'           
    return False

def valid_moves(row, col, board):
    moves = []

    for m in [(row - 1, col), (row + 1, col), 
              (row, col - 1), (row, col + 1)]:
        if 0 <= m[0] < len(board) and 0 <= m[1] < len(board[0]):
        moves.append(m)

    return moves

Binary search is an algorithm for finding an element within a sorted array. It works by dividing the array into two halves, checking if the element you are searching for is equal to, or greater than the middle element, and then repeating the process with the appropriate subarray.

In the worst case, the binary search algorithm requires O(log n) comparisons to find an element. Most programming languages provide efficient implementations of binary search in the standard library.

For example, in Python, the bisect.bisect() function provides a binary search of a sorted list.

Below is an example of binary search in Python:

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def binary_search(arr, x): 
    n = len(arr)
    low = 0
    high = n - 1

    while low < high:  
        mid = (low + high) // 2
        if arr[mid] == x: 
            return mid 
        elif arr[mid] < x: 
            low = mid + 1
        else: 
            high = mid - 1
    return -1 #element not found

In Python, you can create a function to generate a Fibonacci series:

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# Function for nth Fibonacci number 

def Fibonacci(n): 
    if n<0: 
        print("Incorrect input") 
    # First Fibonacci number is 0 
    elif n==1: 
        return 0
    # Second Fibonacci number is 1 
    elif n==2: 
        return 1
    else: 
        return Fibonacci(n-1)+Fibonacci(n-2) 

# Driver Program 

print(Fibonacci(9)) 

Square bracket syntax is the way of writing code for accessing elements of an array or a dictionary in a programming language. In Python, for example, square brackets are used to access elements from lists and dictionaries.

For example, suppose we have a list 'a' containing the elements [1,2,3]

We could access the second element (2) using square bracket syntax like this:

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a[1] # this would return 2

Python is a programming language that can be used for a variety of applications. It is a high-level, interpreted and general-purpose dynamic programming language. Python is widely regarded as a straightforward, easy-to-learn and powerful programming language. To get started, you should begin by understanding the basics of Python syntax, such as expressions, variables, assignments, conditional statements and loops.

These tutorials from W3Schools provide a good starting point for learning the basics of Python:

• Python Introduction
• Python Variables
• Python Operators
• Python Conditions
• Python For Loop
• Python Functions

You can use a static site hosting service such as GitHub Pages to host your Django application. The application can be written in any language that is supported by the hosting provider. Python is a popular choice for Django applications, and the Django framework enables you to easily create a website using Python code. If you are comfortable with HTML, JavaScript, and CSS, you can use these to build the website. GitHub Pages has a number of templates and frameworks available to quickly build a website.

In order to make your Python project available to the public via a GitHub page, you will need to make sure your code is suitable for hosting. This includes refactoring your code to be compatible with other hosting services and environments, bundling all the required libraries together with your project, and ensuring that the application's dependencies are met.

Unfortunately, GitHub pages only supports HTML, CSS, and Javascript, so hosting your project using GitHub pages would likely require rewriting your existing application in those languages. Alternatively, web frameworks such as Flask or Django can be used to deploy your Python code in a web-friendly way. If you choose to take this route, you will be able to link your app to a GitHub page for easy access.

For more detailed instructions on how to deploy your project to the web, please refer to the documentation available at GitHub's Help Center.

Integrating Python and HTML can be done in various ways, depending on what you want to achieve. For example, you could:

• Create HTML with Jinja2 templates and a Python web framework like Django.
• Use dynamic HTML generation with Flask or another Python web framework by using a combination of HTML, CSS, and Python code.
• Use an HTML templating library for Python and then pass the rendered HTML to a web server such as Apache.
• host a web application written in Python in the Google App Engine.