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Канал Coding_knowledge (@coding_knwledge01) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 79 401 підписників, посідаючи 1 561 місце в категорії Технології та додатки та 3 823 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 79 401 підписників.

За останніми даними від 02 вересня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -850, а за останні 24 години на -12, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 9.91%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.57% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 7 865 переглядів. Протягом першої доби публікація в середньому набирає 2 040 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 19.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як q&a, goody, api, stack, analyst.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
💡 Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! ❤️🚀 Join our WhatsApp group👇 https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D

Завдяки високій частоті оновлень (останні дані отримано 03 вересня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

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100 important HTML, CSS, and JavaScript interview questions.pdf0.74 KB

Data Structures Notes 🔥🔥

Statistics for Data Science 🧑‍🔬- What topics need to be covered? 🔥🚀 1/ Descriptive Statistics: - Measures of central tendency (mean, median, mode) - Measures of dispersion (range, variance, standard deviation) - Percentiles and quartiles 2/ Sampling Techniques: - Random sampling - Stratified sampling - Cluster sampling 3/ Statistical Distributions: - Normal distribution - Binomial distribution - Poisson distribution 4/ Inferential Statistics: - Hypothesis testing - Confidence intervals - p-values and significance levels 5/ Statistical Tests: - t-tests (one-sample, two-sample) - ANOVA (Analysis of Variance) - Chi-square test 6/ Bayesian Statistics: - Bayes' theorem in practice - Prior and posterior distributions - Bayesian modeling 7/ Regression Analysis: - Simple linear regression - Multiple linear regression - Logistic regression for classification problems 8/ Multivariate Statistics: - Principal Component Analysis (PCA) - Factor Analysis - Cluster Analysis 9/ Time Series Analysis: - Trends, seasonality, and cycles - Autocorrelation and partial autocorrelation - Forecasting methods Note: A lot of these topics are foundational for what will come in Machine Learning. So it's important to cover them in brief before deep diving into these ML algorithms later. --- That’s all for now! - Smash the LIKE button - Follow me for more posts like this

Statistics for Data Science 🧑‍🔬- What topics need to be covered? 🔥🚀 1/ Descriptive Statistics: - Measures of central tendency (mean, median, mode) - Measures of dispersion (range, variance, standard deviation) - Percentiles and quartiles 2/ Sampling Techniques: - Random sampling - Stratified sampling - Cluster sampling 3/ Statistical Distributions: - Normal distribution - Binomial distribution - Poisson distribution 4/ Inferential Statistics: - Hypothesis testing - Confidence intervals - p-values and significance levels 5/ Statistical Tests: - t-tests (one-sample, two-sample) - ANOVA (Analysis of Variance) - Chi-square test 6/ Bayesian Statistics: - Bayes' theorem in practice - Prior and posterior distributions - Bayesian modeling 7/ Regression Analysis: - Simple linear regression - Multiple linear regression - Logistic regression for classification problems 8/ Multivariate Statistics: - Principal Component Analysis (PCA) - Factor Analysis - Cluster Analysis 9/ Time Series Analysis: - Trends, seasonality, and cycles - Autocorrelation and partial autocorrelation - Forecasting methods Note: A lot of these topics are foundational for what will come in Machine Learning. So it's important to cover them in brief before deep diving into these ML algorithms later. --- That’s all for now! - Smash the LIKE button and REPOST - BOOKMARK because you’ll definitely want to revisit this again - Follow me for more posts like this

💥 Here is an amazing Python cheat sheet for you all!
💥 Here is an amazing Python cheat sheet for you all!

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Output:
Output:

Output:
Output:

Explanation: Explanation: Firstly, we will import the necessary libraries. So, for this project, we will make use of “Pygame”, “random”, “time” and “sys” module. If it’s not there in your system then install it by using the following command in your cmd: “pip install ”. After importing the Pygame module the next step is to initialize the module and with the help of “.init()” we will do so. To set the frames per second for our window will make use of “pygame.time.Clock()” of the “time” module. With that in the next step, we will define the width and height of our game window Now, to fulfill the most basic need to develop the game, we will use “pygame. the display.set_mode((width, height))” to create the game window. After creating, the title and icon need to be added to make it user-friendly. So with the help of “pygame. display.set_caption()” and “pygame. display.set_icon()” will do so. To load the picture of the icon to this project we will use “pygame.image.load(‘image link’)”. In the next step, we will declare some variables which will help us out while creating the buttons. Thus, we want 2 rows, and 13 columns, the gap between them should be 20 and the size is 40 since that will be a square. So, first of all, we will make the boxes and then we will place the letters inside the boxes. Now, for the box we will run a nested loop for rows and cols, under that we will mention the x and y position of the boxes. To make the box we will use “pygame. rect(x,y, size, size)”. This command will create a single box and to make sure to display all the boxes we will create an empty list of boxes under the loop after creating every box we will append that in the boxes list by the “.append()” function. Since we know that, to display every functionality on the game window we have to create a game loop. For that, we have declared a running variable. Initially, the value assigned to the variable is False. With the help of the “while” loop, we will process our game loop. With the help of “pygame.event.get()” we will run a loop for the events. Under this event loop, we will process the type of the event under the if-else ladder with the help of “.type”. Firstly, we will check for a quit event with the help of “pygame. QUIT” and to show every single thing on the screen we will make use of “pygame. display. update()”. Under this loop, we will run one for loop of the boxes to be shown on the game window. So we will draw the boxes under that loop. The next step is to place the letter in the box, for that we will create an empty list named buttons. Now, we will run a for loop for the index and box. Since we know that for ‘A’ the ASCII Code is 65 and if we will add 1 into that we will get the 26 letters of the alphabet. So under that loop, we will declare a variable letter under which with the help of ASCII code we will get our letters, and we will append every single button in the buttons list. Since, we will need a font as well and with the help of “pygame.font.Sysfont(‘name’,’ size’)” will do so. In the game loop firstly we will render the font with the help of “.render()” and then we want the letter to be at the center of the box so for that we will use “.get_rect(center=(positions))” and after that, we will blit the font on the screen with the help of “.blit()” function. After drawing the boxes now the next step is to play with words. For that firstly we will create an empty list named words. Now to display the text we will again run a for loop for letters in the word. We will also create another empty list named as guessed which will tell the letter that is guessed. Under the for loop, if the letter exists in the word then we want the string that will gonna appear to have that letter otherwise we will just add an underscore. For the letters also we need to make a font and will do so with the same function as mentioned above, then we will render it and blit it on the screen. After doing so you will see that the game window will contain the dash spaces. Now, for the buttons to be get

Hangman Game using python 🐍 Code :- # Importing the libraries import pygame import sys import random import time # Initializing the pygame pygame.init() # Frames per second clock = pygame.time.Clock() # Window parameters width = 800 height = 500 # Creating the window screen = pygame.display.set_mode((width, height)) # Setting the title and icon pygame.display.set_caption("Hangman") icon = pygame.image.load("img_9.png") pygame.display.set_icon(icon) game_over = False row = 2 col = 13 gap = 20 size = 40 boxes = [] # To draw boxes for row in range(row): for col in range(col): x = ((col * gap) + gap) + (size * col) y = ((row * gap) + gap) + (size * row) + 330 box = pygame.Rect(x, y, size, size) boxes.append(box) buttons = [] A = 65 # To display alphabets for ind, box in enumerate(boxes): letter = chr(A + ind) button = [box, letter] buttons.append(button) # To draw buttons def draw_buttons(buttons): for box, letter in buttons: btn_text = font.render(letter, True, (0, 0, 0)) btn_rect = btn_text.get_rect(center=(box.x + 20, box.y + 20)) screen.blit(btn_text, btn_rect) pygame.draw.rect(screen, (0, 0, 0), box, 2) # To display the word def display_guess(): display_text = '' for letter in word: if letter in guessed: display_text += f"{letter} " else: display_text += '_ ' text = letter_font.render(display_text, True, (0, 0, 0)) screen.blit(text, (400, 200)) images = [] hangman_status = 0 # creating the words list words = ['PYGAME', 'PYTHON', 'JAVA', 'HELLO', 'WORLD', 'HANGMAN', 'TIME', 'TURTLE', 'RANDOM'] word = random.choice(words) guessed = [] # Display the initial image image = pygame.image.load("img_21.png") images.append(image) # setting the font style font = pygame.font.SysFont("arial", 30) game_font = pygame.font.SysFont("arial", 80) letter_font = pygame.font.SysFont("arial", 60) # Title parameters title = "Hangman" title_text = game_font.render(title, True, (0, 0, 0)) title_rect = title_text.get_rect(center=(width // 2, title_text.get_height() // 2 + 10)) # Game loop running = True while running: screen.fill((255, 255, 255)) # Checking for event for event in pygame.event.get(): if event.type == pygame.QUIT: # quit event running = False # Checking for mouse position if event.type == pygame.MOUSEBUTTONDOWN: click_pos = event.pos # Checking for correct letter for button, letter in buttons: if button.collidepoint(click_pos): if letter not in word: hangman_status += 1 if hangman_status == 6: game_over = True guessed.append(letter) buttons.remove([button, letter]) # displaying the images accordingly for i in range(5): if hangman_status == 1: image = pygame.image.load("img_23.png") images.append(image) elif hangman_status == 2: image = pygame.image.load("img_22.png") images.append(image) elif hangman_status == 3: image = pygame.image.load("img_24.png") images.append(image) elif hangman_status == 4: image = pygame.image.load("img_25.png") images.append(image) elif hangman_status == 5: image = pygame.image.load("img_26.png") images.append(image) elif hangman_status == 6: running = False screen.blit(image, (150, 150)) for box in boxes: pygame.draw.rect(screen, (0, 0, 0), box, 2) # Win and Lost won = True for letter in word: if

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