Code  Camp

Code Camp

1560932820

Learn Webpack - Full Tutorial for Beginners

Learn Webpack from Colt Steele in this full tutorial course. It begins with a simple question: “What is webpack?” Quickly we move on to installing Webpack, configuring it, and adding loaders for CSS, SASS, HTML, and Files. The course covers cache busting, setting up a dev server, and splitting up your development and production config files. We incorporate multiple Webpack plugins including clean-webpack-plugin, mini-css-extract-plugin, optimize-css-assets-webpack-plugin, terser-webpack-plugin, and html-webpack-plugin. It’s a lot of stuff :)

⭐️ Course Contents ⭐️
⌨️ (0:00:00) What Even Is Webpack??
⌨️ (0:08:12) Installing and Running Webpack and Webpack-CLI
⌨️ (0:22:18) Imports, Exports, & Webpack Modules
⌨️ (0:29:58) Configuring Webpack
⌨️ (0:38:57) Loaders, CSS, & SASS
⌨️ (0:53:55) Cache Busting and Plugins
⌨️ (1:07:13) Splitting Dev & Production
⌨️ (1:17:13) Html-loader, File-loader, & Clean-webpack
⌨️ (1:28:17) Multiple Entrypoints & Vendor.js
⌨️ (1:34:45) Extract CSS & Minify HTML/CSS/JS

💻 Code and commits: https://github.com/Colt/webpack-demo-app

#webpack #html #web-development #javascript

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Learn Webpack - Full Tutorial for Beginners
Sival Alethea

Sival Alethea

1624305600

Learn Data Science Tutorial - Full Course for Beginners. DO NOT MISS!!!

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the “sexiest job of the 21st century.” You’ll learn the important elements of data science. You’ll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You’ll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.
⭐️ Course Contents ⭐️
⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science

  • Welcome (1.1)
  • Demand for Data Science (2.1)
  • The Data Science Venn Diagram (2.2)
  • The Data Science Pathway (2.3)
  • Roles in Data Science (2.4)
  • Teams in Data Science (2.5)
  • Big Data (3.1)
  • Coding (3.2)
  • Statistics (3.3)
  • Business Intelligence (3.4)
  • Do No Harm (4.1)
  • Methods Overview (5.1)
  • Sourcing Overview (5.2)
  • Coding Overview (5.3)
  • Math Overview (5.4)
  • Statistics Overview (5.5)
  • Machine Learning Overview (5.6)
  • Interpretability (6.1)
  • Actionable Insights (6.2)
  • Presentation Graphics (6.3)
  • Reproducible Research (6.4)
  • Next Steps (7.1)

⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)

  • Welcome (1.1)
  • Metrics (2.1)
  • Accuracy (2.2)
  • Social Context of Measurement (2.3)
  • Existing Data (3.1)
  • APIs (3.2)
  • Scraping (3.3)
  • New Data (4.1)
  • Interviews (4.2)
  • Surveys (4.3)
  • Card Sorting (4.4)
  • Lab Experiments (4.5)
  • A/B Testing (4.6)
  • Next Steps (5.1)

⌨️ Part 3: Coding (2:32:42)

  • Welcome (1.1)
  • Spreadsheets (2.1)
  • Tableau Public (2.2)
  • SPSS (2.3)
  • JASP (2.4)
  • Other Software (2.5)
  • HTML (3.1)
  • XML (3.2)
  • JSON (3.3)
  • R (4.1)
  • Python (4.2)
  • SQL (4.3)
  • C, C++, & Java (4.4)
  • Bash (4.5)
  • Regex (5.1)
  • Next Steps (6.1)

⌨️ Part 4: Mathematics (4:01:09)

  • Welcome (1.1)
  • Elementary Algebra (2.1)
  • Linear Algebra (2.2)
  • Systems of Linear Equations (2.3)
  • Calculus (2.4)
  • Calculus & Optimization (2.5)
  • Big O (3.1)
  • Probability (3.2)

⌨️ Part 5: Statistics (4:44:03)

  • Welcome (1.1)
  • Exploration Overview (2.1)
  • Exploratory Graphics (2.2)
  • Exploratory Statistics (2.3)
  • Descriptive Statistics (2.4)
  • Inferential Statistics (3.1)
  • Hypothesis Testing (3.2)
  • Estimation (3.3)
  • Estimators (4.1)
  • Measures of Fit (4.2)
  • Feature Selection (4.3)
  • Problems in Modeling (4.4)
  • Model Validation (4.5)
  • DIY (4.6)
  • Next Step (5.1)

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=ua-CiDNNj30&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=7
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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#data science #learn data science #learn data science tutorial #beginners #learn data science tutorial - full course for beginners

Sival Alethea

Sival Alethea

1624312800

Learn Java 8 - Full Tutorial for Beginners. DO NOT MISS!!!

Learn Java 8 and object oriented programming with this complete Java course for beginners.
⭐️Contents ⭐️

⌨️ (0:00:00) 1 - Basic Java keywords explained
⌨️ (0:21:59) 2 - Basic Java keywords explained - Coding Session
⌨️ (0:35:45) 3 - Basic Java keywords explained - Debriefing
⌨️ (0:43:41) 4 - Packages, import statements, instance members, default constructor
⌨️ (0:59:01) 5 - Access and non-access modifiers
⌨️ (1:11:59) 6 - Tools: IntelliJ Idea, Junit, Maven
⌨️ (1:22:53) 7 - If/else statements and booleans
⌨️ (1:42:20) 8 - Loops: for, while and do while loop
⌨️ (1:56:57) 9 - For each loop and arrays
⌨️ (2:14:21) 10 - Arrays and enums
⌨️ (2:41:37) 11 - Enums and switch statement
⌨️ (3:07:21) 12 - Switch statement cont.
⌨️ (3:20:39) 13 - Logging using slf4j and logback
⌨️ (3:51:19) 14 - Public static void main
⌨️ (4:11:35) 15 - Checked and Unchecked Exceptions
⌨️ (5:05:36) 16 - Interfaces
⌨️ (5:46:54) 17 - Inheritance
⌨️ (6:20:20) 18 - Java Object finalize() method
⌨️ (6:36:57) 19 - Object clone method. [No lesson 20]
⌨️ (7:16:04) 21 - Number ranges, autoboxing, and more
⌨️ (7:53:00) 22 - HashCode and Equals
⌨️ (8:38:16) 23 - Java Collections
⌨️ (9:01:12) 24 - ArrayList
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=grEKMHGYyns&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=9
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#java #java 8 #learn java 8 #learn java 8 - full tutorial for beginners #beginners #java course for beginners.

Sival Alethea

Sival Alethea

1624291780

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python

Jeromy  Lowe

Jeromy Lowe

1599097440

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Willie  Beier

Willie Beier

1596728880

Tutorial: Getting Started with R and RStudio

In this tutorial we’ll learn how to begin programming with R using RStudio. We’ll install R, and RStudio RStudio, an extremely popular development environment for R. We’ll learn the key RStudio features in order to start programming in R on our own.

If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post.

Table of Contents

#data science tutorials #beginner #r tutorial #r tutorials #rstats #tutorial #tutorials