Coding_knowledge

Top 10 Github Repositories For Web Developer 🔥🚀🚀 1. Web Developer-Roadmap : https://github.com/kamranahmedse/developer-roadmap 2. 30-Seconds-Of-Code : https://github.com/30-seconds/30-seconds-of-code 3. Awesome-Cheatsheets : https://github.com/LeCoupa/awesome-cheatsheets 4. CSS-Protips : https://github.com/AllThingsSmitty/css-protips 5. 33-JS-Concepts : https://github.com/leonardomso/33-js-concepts 6. You-Dont-Know-JS : https://github.com/getify/You-Dont-Know-JS/tree/2nd-ed 7. Front-End-Checklist : https://github.com/thedaviddias/Front-End-Checklist 8. Javascript-Questions : https://github.com/lydiahallie/javascript-questions 9. Clean-Code-Javascript : https://github.com/ryanmcdermott/clean-code-javascript 10. free-programming-books : https://github.com/EbookFoundation/free-programming-books Share with your friends ❣️ https://t.me/Dhruvicodes Do React ❤️ if you want more content Like this.

Roadmap to Become Web3 Developer : 📂 Learn HTML ∟📂 Learn CSS ∟📂 Learn JavaScript ∟📂 Learn React ∟📂 Learn Solidity ∟📂 Learn Ether.js ∟📂 Learn L2 ∟📂 Build Projects ∟ ✅ Start Applying for Job’s

25 YouTube channels to learn coding 💥🚀👇👇 ✅ 𝗙𝗼𝗿 𝗣𝘆𝘁𝗵𝗼𝗻: 1. Corey Scahfer 2. SentDex 3. Tech with Tim 4. CodeWithHarry 5. WsCube Tech ✅ 𝗙𝗼𝗿 𝗝𝗮𝘃𝗮𝘀𝗰𝗿𝗶𝗽𝘁: 1. Traversy Media 2. Jaavscript Mastery 3. Codevolution 4. Chai or code ✅ 𝗙𝗼𝗿 𝗧𝘆𝗽𝗲𝘀𝗰𝗿𝗶𝗽𝘁: 1. Matt Pocock 2. Fireship 3. TypeScript TV with Benny ✅ 𝗙𝗼𝗿 𝗖#: 1. IamTimCorey 2. Nick Chapsas 3. TutorialsEu ✅ 𝗙𝗼𝗿 𝗖/𝗖++: 1. Caleb Curry 2. MySirG.com 3. The Cherno 4. CodeBeauty 5. Apna college ✅ 𝗙𝗼𝗿 𝗝𝗮𝘃𝗮: 1. Alex Lee 2. Programming with Mosh 3. Java Brains ✅ 𝗙𝗼𝗿 𝗚𝗼 (𝗚𝗼𝗟𝗮𝗻𝗴): 1. JustForFunc 2. MattKodvb 3. Nic Jackson ✅ 𝗙𝗼𝗿 𝗞𝗼𝘁𝗹𝗶𝗻: 1. Philipp lackenr 2. Kotlin by Jetbrains 3. Coding in Flow (Kotlin Playlist) ✅ 𝗕𝗼𝗻𝘂𝘀 : 𝐅𝐫𝐞𝐞𝐂𝐨𝐝𝐞𝐂𝐚𝐦𝐩 ( for every language) Learn any language from YouTube 🤟🏻

Free Platforms to Learn Coding 🔎 🌎 HTML -  https://html.com 🌈 CSS -  https://web.dev/learn/css 🧩 JavaScript -  https://javascript.info 🎟 React -  https://reactplay.io 🎫 Vue.js -  https://learnvue.co 🎯 Git -  https://git-scm.com/book/en/v2 🎮 Web3 -  https://learnweb3.io ⚓️ Python -  https://learnpython.org 🚦 SQL -  https://www.w3schools.com/sql 📀 BlockChain -  https://cryptozombies.io 💻 Nextjs -  https://nextjs.org/learn/foundations/about-nextjs 🧭 AI -  https://www.elementsofai.com ⚙️ ML -  https://www.freecodecamp.org/learn/machine-learning-with-python ⛓ PHP -  https://phptherightway.com 🧿 API -  https://rapidapi.com/learn 📍 GO -  https://learn-golang.org ✂️ Rust -  https://www.rust-lang.org/learn Share with others🎉 👉Join our Telegram https://t.me/coding_knwledge01

Frontend Developer in 150 Days📌 HTML Day 1 - 15📍 CSS Day 16 - 35📍 Basic JavaScript Day 35 - 65📍 Responsive Web Design Day 65- 70📍 Advanced JavaScript Day 70- 100📍 React Day 100 - 145📍 Git/Github Day 145 - 150📍 Like this Message For More Content 🫶

ABCs Of CSS ⚓️ . . . https://comicss.art/?id=95

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!

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