Full Stack Web Development Megacourse: Beginner To Expert

Master Web Development from Scratch - Front-End, Back-End, Databases, and Real-World Projects!

What you'll learn

Fundamental concepts of HTML, CSS, SQL, and Python to advanced full-stack web development techniques.

Hands-on experience with front-end development using HTML and CSS frameworks.

Mastery of back-end development with SQL and Python, including database management.

Best practices for debugging, optimizing, and deploying web applications.

Building dynamic user interfaces and single-page applications.

Using Flask for back-end development and creating robust RESTful APIs.

Implementing secure authentication and session management.

Practical projects to reinforce your learning and build your portfolio.

Techniques for managing and manipulating data with NumPy and Pandas.

Approaches to developing scalable and maintainable code using object-oriented programming principles.

Requirements

Basic understanding of computer operations.

Curiosity and enthusiasm for web development.

No prior programming experience required.

Description

Learn full stack web development!Develop like a pro!In today's digital age, web development skills are indispensable. This comprehensive Full Stack Megacourse is designed to take you from a beginner to an expert in web development. Covering everything from the basics of HTML and CSS to advanced SQL and Python programming, this course is your gateway to mastering full-stack web development.By the end of this course, you'll have an understanding of front-end and back-end development, preparing you to create dynamic and responsive web applications. You'll be proficient in using modern tools and frameworks, and you'll be ready to tackle real-world web development challenges with confidence.During this course, you will learn:HTML fundamentals, attributes, text elements, formatting, lists, images, and navigation menus.CSS basics, selectors, typography, color models, background properties, tables, and advanced styling techniques.Practical projects including portfolio, weather app, and NFT project to reinforce learning.SQL attributes, data types, operators, keys, constraints, and common rules.Comprehensive SQL commands, expressions, and advanced SQL programming.Basics of Python programming, including variables, data types, conditional statements, loops, and functions.Intermediate and advanced topics in object-oriented programming (OOP), file handling, and data structures.Integration of Python with databases, web development using Flask, and project-based learning.Using frameworks like Flask for back-end development and integrating it with front-end technologies.Deployment strategies and best practices for maintaining and optimizing web applications.Algorithms design and analysis, recursion, complexity analysis, and sorting techniques.Introduction to data analysis and visualization using NumPy and Pandas libraries.Real-world projects and exercises to build and deploy web applications using Python.After taking this course you will be able to:Develop fully functional and aesthetically pleasing websites from scratch.Implement complex web application features using front-end and back-end technologies.Manage databases effectively and integrate them seamlessly with web applications.Debug, optimize, and deploy web applications with confidence.Apply best practices in web development.Become a full-stack web developer with our Complete Full Stack Megacourse.Start building your future today!

Overview

Section 1: Welcome

Lecture 1 Introduction

Section 2: HTML/CSS Course

Lecture 2 Welcome to the Course

Section 3: HTML

Lecture 3 Course Overview

Lecture 4 Course Tools

Lecture 5 Structure of HTML Document

Lecture 6 Start Sloth Site

Lecture 7 Links

Lecture 8 Images

Lecture 9 Create Header

Lecture 10 Block vs Inline Elements (Divs & Spans)

Lecture 11 Create Sloths Section and Footer

Lecture 12 Create Contact Page

Lecture 13 Forms

Lecture 14 Create Form in Contact Page

Lecture 15 Tables

Lecture 16 Create Table in Contact Page

Section 4: CSS

Lecture 17 CSS Intro

Lecture 18 Classes and IDs

Lecture 19 Box Model

Lecture 20 Flexbox

Lecture 21 Fonts

Lecture 22 Style Logo and Title Text

Lecture 23 Style Navbar

Lecture 24 Style Banner and Sloths

Lecture 25 Style Footer

Lecture 26 Prepare Contact Page For Styling

Lecture 27 Style Form on Contact Page

Lecture 28 Style Table on Contact Page

Section 5: Introduction to CSS Advanced

Lecture 29 Introduction to the Course

Section 6: CSS Layouts

Lecture 30 Normal Flow Pt. 1

Lecture 31 Normal Flow Pt. 2

Lecture 32 Normal Flow Pt. 3

Lecture 33 Normal Flow Pt. 4

Lecture 34 Floats

Lecture 35 NO Positioning Pt. 1

Lecture 36 Positioning Pt. 2

Lecture 37 Multiple- Column Layout Pt. 1

Lecture 38 Multiple- Column Layout Pt. 2

Lecture 39 Media Queries Pt. 1

Lecture 40 Media Queries Pt. 2

Lecture 41 Project: Putting Layouts into Practice Pt. 1

Lecture 42 Project: Putting Layouts into Practice Pt. 2

Lecture 43 Project: Side by Side Boxes Pt. 1

Lecture 44 Project: Side by Side Boxes Pt. 2

Lecture 45 Project: Product Thumbs Pt. 1

Lecture 46 Project: Product Thumbs Pt. 2

Lecture 47 Project: Thumbnail Hovers

Lecture 48 Project: Modals

Lecture 49 Project: Create Thumbs

Lecture 50 Project: Contacts

Section 7: Flexbox

Lecture 51 Properties and Concepts Pt. 1

Lecture 52 Properties and Concepts Pt. 2

Lecture 53 Flexbox Layouts: Froggy

Lecture 54 Flexbox Alignment: Froggy

Lecture 55 Project: Putting Flexbox into Practice Pt. 1

Lecture 56 Project: Putting Flexbox into Practice Pt. 2

Lecture 57 Project: Putting Flexbox into Practice Pt. 3

Lecture 58 Project: Putting Flexbox into Practice Pt. 4

Section 8: Grids

Lecture 59 Properties and Concepts Pt. 1

Lecture 60 Properties and Concepts Pt. 2

Lecture 61 Grid Boxes

Lecture 62 Media Queries and Grid Boxes

Lecture 63 Grid Layouts: Advanced

Lecture 64 Grid Layouts: Masonry Grid Pt. 1

Lecture 65 Grid Layouts: Masonry Grid Pt. 2

Lecture 66 Holy Grail

Lecture 67 Project: Putting Grid into Practice Pt. 1

Lecture 68 Project: Putting Grid into Practice Pt. 2

Lecture 69 Project: Putting Grid into Practice Pt. 3

Lecture 70 Project: Putting Grid into Practice Pt. 4

Lecture 71 Project: Putting Grid into Practice Pt. 5

Lecture 72 Project: Putting Grid into Practice Pt. 6

Section 9: Bootstrap

Lecture 73 Introduction to Bootstrap

Lecture 74 Bootstrap Basics Pt. 1

Lecture 75 Bootstrap Basics Pt. 2

Lecture 76 Bootstrap Basics Pt. 3

Lecture 77 Working with Columns

Lecture 78 Components

Lecture 79 Project: Putting Bootstrap into Practice Pt. 1

Lecture 80 Project: Putting Bootstrap into Practice Pt. 2

Lecture 81 Project: Putting Bootstrap into Practice Pt. 3

Lecture 82 Project: Putting Bootstrap into Practice Pt. 4

Section 10: Further Study: SASS

Lecture 83 Introduction to SASS

Lecture 84 Using SASS and Compilers: Visual Studio Code

Lecture 85 Using SASS and Compilers: Scout

Lecture 86 SASS Styles

Lecture 87 SASS Styles: Variables

Lecture 88 SASS Styles: Nesting

Lecture 89 SASS Styles: Mixing

Lecture 90 SASS Styles: Comments

Lecture 91 Project: Putting Everything into Practice Pt. 1

Lecture 92 Project: Putting Everything into Practice Pt. 2

Lecture 93 Project: Putting Everything into Practice Pt. 3

Lecture 94 Project: Putting Everything into Practice Pt. 4

Lecture 95 Conclusion

Section 11: SQL Course

Lecture 96 Welcome to the Course

Section 12: Overview

Lecture 97 Introduction

Lecture 98 What is SQL

Lecture 99 What is RDBMS

Lecture 100 What is a Table

Lecture 101 Common Rules

Lecture 102 List of Databases

Section 13: SQL Attributes and Concepts

Lecture 103 Data Types

Lecture 104 Operators in Detail

Lecture 105 Records vs. Rows

Lecture 106 Fields vs. Columns

Lecture 107 Keys

Lecture 108 SQL Constraints

Lecture 109 SQL Structure Overview

Section 14: SQL Commands and Expressions

Lecture 110 Create New Database

Lecture 111 Create Tables

Lecture 112 Insert Data

Lecture 113 The SELECT Statement

Lecture 114 The WHERE Clause

Lecture 115 Conjunctive Operators

Section 15: More with SQL

Lecture 116 Update Queries

Lecture 117 The LIKE Clause

Lecture 118 The TOP Clause

Lecture 119 More Keys

Lecture 120 Get Unique Records

Lecture 121 Sorted Order

Lecture 122 Normal Forms

Section 16: SQL Exercises Section I

Lecture 123 Exercises Introduction

Lecture 124 Exercise Area 1-1

Lecture 125 Exercise Area 1-2

Lecture 126 Exercise Area 1-3

Lecture 127 Exercise Area 1-4

Lecture 128 Exercise Area 1-5

Lecture 129 Exercise Area 1-6

Lecture 130 Exercise Area 1-7

Lecture 131 Exercise Area 1-8

Lecture 132 Exercise Area 1-9

Lecture 133 Exercise Area 1-10

Section 17: SQL Exercises Section II

Lecture 134 Exercises Area 2-1

Lecture 135 Exercises Area 2-2

Lecture 136 Exercises Area 2-3

Lecture 137 Exercises Area 2-4

Lecture 138 Exercises Area 2-5

Lecture 139 Exercises Area 2-6

Lecture 140 Exercises Area 2-7

Lecture 141 Exercises Area 2-8

Lecture 142 Exercises Area 2-9

Lecture 143 Exercises Area 2-10

Section 18: SQL Exercises Section III

Lecture 144 Exercises Area 3-1

Lecture 145 Exercises Area 3-2

Lecture 146 Exercises Area 3-3

Lecture 147 Exercises Area 3-4

Lecture 148 Exercises Area 3-5

Lecture 149 Exercises Area 3-6

Lecture 150 Exercises Area 3-7

Lecture 151 Exercises Area 3-8

Lecture 152 Exercises Area 3-9

Lecture 153 Exercises Area 3-10

Section 19: SQL Exercises Section IV

Lecture 154 Exercises Area 4-1

Lecture 155 Exercises Area 4-2

Lecture 156 Exercises Area 4-3

Lecture 157 Exercises Area 4-4

Lecture 158 Exercises Area 4-5

Lecture 159 Exercises Area 4-6

Lecture 160 Exercises Area 4-7

Lecture 161 Exercises Area 4-8

Lecture 162 Exercises Area 4-9

Lecture 163 Exercises Area 4-10

Section 20: SQL Exercises Section V

Lecture 164 Exercises Area 5-1

Lecture 165 Exercises Area 5-2

Lecture 166 Exercises Area 5-3

Lecture 167 Exercises Area 5-4

Lecture 168 Exercises Area 5-5

Lecture 169 Exercises Area 5-6

Lecture 170 Exercises Area 5-7

Lecture 171 Exercises Area 5-8

Lecture 172 Exercises Area 5-9

Lecture 173 Exercises Area 5-10

Lecture 174 Review

Lecture 175 Outro

Section 21: Introduction to SQL Advanced

Lecture 176 Introduction

Lecture 177 Course Focus

Lecture 178 Review SQL Objects

Lecture 179 Wildcard Operators

Lecture 180 Wildcard Operators Exercises Pt. 1

Lecture 181 Wildcard Operators Exercises Pt. 2

Section 22: SQL JOIN Syntax and Practice

Lecture 182 SQL JOINS Syntax

Lecture 183 SQL JOINS Exercises Pt. 1

Lecture 184 SQL JOINS Exercises Pt. 2

Section 23: Aggregate Functions

Lecture 185 Aggregate Functions

Lecture 186 The HAVING Clause

Lecture 187 Aggregate Functions Exercises

Section 24: String and DATE/TIME Functions

Lecture 188 String Functions Area I

Lecture 189 String Functions Area II

Lecture 190 String Functions Area III

Lecture 191 String Functions Area IV

Lecture 192 DATE/TIME Functions Area I

Lecture 193 DATE/TIME Functions Area II

Lecture 194 DATE/TIME Functions Area III

Lecture 195 DATE/TIME Functions Area IV

Section 25: Advanced Joins

Lecture 196 Advanced JOINS Syntax

Lecture 197 Advanced JOINS Exercises Pt. 1

Lecture 198 Advanced JOINS Exercises Pt. 2

Section 26: Indexes and Schema Structures

Lecture 199 Indexes Area I

Lecture 200 Indexes Area II

Lecture 201 Indexes Area III

Lecture 202 Indexes Area Demo

Lecture 203 Schema Structures Area I

Lecture 204 Schema Structures Area II

Section 27: Further Study: SQL Programming

Lecture 205 SQL Programming Pt. 1

Lecture 206 SQL Programming Pt. 2

Lecture 207 Stored Procedures Pt. 1

Lecture 208 Stored Procedures Pt. 2

Section 28: Further Study: Advanced SQL Programming

Lecture 209 SQL Programming Area I

Lecture 210 SQL Programming Area II

Lecture 211 SQL Programming Area III

Lecture 212 SQL Programming Area IV

Lecture 213 SQL Programming Area V

Lecture 214 SQL Programming Area VI

Section 29: Further Study: Introduction to Advanced Tables

Lecture 215 Tables

Lecture 216 Demonstration Exercises

Section 30: Further Study: Cursors and Transactions

Lecture 217 Cursors

Lecture 218 SQL Transactions Area I

Lecture 219 SQL Transactions Area II

Lecture 220 SQL Transactions Area III

Section 31: Further Study: SQL Triggers

Lecture 221 SQL Triggers Area I

Lecture 222 SQL Triggers Area II

Lecture 223 SQL Triggers Area III

Section 32: Further Study: View and Subqueries

Lecture 224 Views Area I

Lecture 225 Views Area II

Lecture 226 Subqueries Area I

Lecture 227 Subqueries Area II

Lecture 228 Advanced Subqueries Area I

Lecture 229 Advanced Subqueries Area II

Section 33: Further Study: Windows Functions

Lecture 230 Windows Functions Area I

Lecture 231 Windows Functions Area II

Lecture 232 Windows Functions Area III

Lecture 233 Windows Functions Area IV

Lecture 234 Windows Functions Area V

Lecture 235 Windows Functions Area VI

Section 34: Further Study: SQL Advanced Exercises Section I

Lecture 236 Exercises Area 1-1

Lecture 237 Exercises Area 1-2

Lecture 238 Exercises Area 1-3

Lecture 239 Exercises Area 1-4

Lecture 240 Exercises Area 1-5

Lecture 241 Exercises Area 1-6

Lecture 242 Exercises Area 1-7

Lecture 243 Exercises Area 1-8

Lecture 244 Exercises Area 1-9

Lecture 245 Exercises Area 1-10

Lecture 246 Exercises Area 1-11

Lecture 247 Exercises Area 1-12

Section 35: Further Study: SQL Advanced Exercises Section II

Lecture 248 Exercises Area 2-1

Lecture 249 Exercises Area 2-2

Lecture 250 Exercises Area 2-3

Lecture 251 Exercises Area 2-4

Lecture 252 Exercises Area 2-5

Lecture 253 Exercises Area 2-6

Lecture 254 Exercises Area 2-7

Lecture 255 Exercises Area 2-8

Lecture 256 Exercises Area 2-9

Lecture 257 Exercises Area 2-10

Lecture 258 Exercises Area 2-11

Lecture 259 Exercises Area 2-12

Lecture 260 Review

Lecture 261 Outro

Lecture 262 Conclusion

Section 36: Python Course

Lecture 263 Welcome to the Course

Lecture 264 Introduction

Section 37: Introduction to Python

Lecture 265 Python Characteristics

Lecture 266 Python 2 vs Python 3

Lecture 267 Installation, Jupyter, and Demo

Section 38: Python Basics

Lecture 268 Taking Input Data from a User

Lecture 269 Output Formatting

Lecture 270 Math Library in Python Part I

Lecture 271 Math Library in Python Part II

Lecture 272 Random Module in Python

Lecture 273 Random Module - Game Demo

Lecture 274 Generating Sequences using Range in Python

Lecture 275 Python Variables and Data Types

Lecture 276 More on Python Variables

Section 39: Conditional Statements

Lecture 277 Truth Values and Simple Conditional Statements

Lecture 278 Problem Solving Involving Conditional Statements I

Lecture 279 Problem Solving Involving Conditional Statements II

Lecture 280 Rock Paper Scissors Game in Python

Lecture 281 Capitals Game in Python

Section 40: Iterative Statements

Lecture 282 Introduction

Lecture 283 For-Loops and While Loops

Lecture 284 Printing Shapes Using Loops

Lecture 285 Building Shapes with Numbers Using Loops

Lecture 286 Finding LCM, GCD and Binary Conversion

Lecture 287 Nested Loops Introduction

Lecture 288 Nested Loops and Pattern Finding

Lecture 289 Nested Loops and Narcissistic Numbers

Section 41: List and Tuples

Lecture 290 Mutability Versus Immutability

Lecture 291 Common Methods in Lists

Lecture 292 Tuple Basics, Copy and Deepcopy Methods

Lecture 293 Tuple Basics and Zip Method

Lecture 294 Inner Product and Sorting a List of Tuples

Lecture 295 Practice Problems I

Lecture 296 2-Dimensional Lists (List of Lists) Part I

Lecture 297 2-Dimensional Lists (List of Lists) Part II

Section 42: Dictionaries

Lecture 298 Introduction to Dictionaries

Lecture 299 Most Common Methods in Dictionaries

Lecture 300 Simple Manipulations with Dictionaries

Lecture 301 Dictionaries Practice Problems I

Lecture 302 Handling a List of Dictionaries

Lecture 303 List of Dictionaries and JSON Objects

Lecture 304 Creating a JSON File Using a Dictionary of Dictionaries

Section 43: Sets in Python

Lecture 305 Nature of Sets and Methods in the Normal and Frozen Sets

Lecture 306 Working with Frozen Sets and Evaluating Mathematical Set Expressions

Section 44: Functions

Lecture 307 Introduction to Functions

Lecture 308 Translating a Code Snippet to a Function Part I

Lecture 309 Translating a Code Snippet to a Function Part II

Lecture 310 Translating a Code Snippet to a Function Part III

Lecture 311 Translating a Code Snippet to a Function Part IV

Lecture 312 Translating a Code Snippet to a Function Part V

Section 45: Strings

Lecture 313 Introduction to Strings and Most Common Methods

Lecture 314 More on String Methods

Lecture 315 String Boolean Methods Part I

Lecture 316 String Boolean Methods Part II

Lecture 317 String Boolean Methods Part III

Lecture 318 String Boolean Methods Part IV

Lecture 319 String Boolean Methods Part V

Lecture 320 String Boolean Methods Part VI

Lecture 321 String Boolean Methods Part VII

Lecture 322 String Boolean Methods Part VIII

Lecture 323 String Boolean Methods Part IX

Section 46: Data Structures

Lecture 324 Linear Data Structures: Stacks, Push and Pop Operations

Lecture 325 Using Stacks to Check for Balanced Expressions

Section 47: File Handling

Lecture 326 Files Handling Part I

Lecture 327 2. Files Handling Part II

Lecture 328 3. Files Handling Part III

Lecture 329 Files Handling Part IV

Lecture 330 Files Handling Part V

Lecture 331 Files Handling Part VI

Section 48: Projects

Lecture 332 Dictionaries Mini Project 1

Lecture 333 Mini Project 2 Workspace Monitoring System Part I

Lecture 334 Mini Project 2 Workspace Monitoring System Part II

Lecture 335 Bisection Methods

Lecture 336 Banking System I

Lecture 337 Banking System II

Lecture 338 Banking System III

Lecture 339 Banking System IV

Lecture 340 Banking System V

Lecture 341 Banking System VI

Lecture 342 Banking System VII

Lecture 343 Banking System VIII

Lecture 344 Banking System IX

Lecture 345 Banking System X

Lecture 346 Banking System XI

Lecture 347 Banking System XII

Lecture 348 Banking System XIII

Lecture 349 Banking System XIV

Lecture 350 Banking System XV

Section 49: Python Intermediate OOP

Lecture 351 Introduction

Lecture 352 Class Design and Implementation

Lecture 353 Class Instantiation

Lecture 354 Class Methods and Inheritance

Lecture 355 Polymorphism

Lecture 356 Recap

Lecture 357 Combining OOP Concepts I

Lecture 358 Combining OOP Concepts II

Lecture 359 Objects Storage Through Pickling

Lecture 360 Exceptions and the Exception Class

Lecture 361 Project I Part 1

Lecture 362 Project I Part 2

Lecture 363 Project I Part 3

Lecture 364 Project I Part 4

Section 50: Iterators and Generators

Lecture 365 Iterables and Iterators

Lecture 366 Generators

Lecture 367 Lambda Functions I

Lecture 368 Lambda Functions II

Lecture 369 Map, Filter, Reduce with List Comprehension I

Lecture 370 Map, Filter, Reduce with List Comprehension II

Section 51: CSV Files

Lecture 371 Open, Reading, Writing

Lecture 372 Manipulate Data

Lecture 373 CSV Module

Section 52: Databases

Lecture 374 Databases Explanation

Lecture 375 SQLite Intro

Lecture 376 Querying from Python

Lecture 377 Setting Up Cassandra I

Lecture 378 Setting Up Cassandra II

Lecture 379 IG Stream API Practice

Lecture 380 Grafana Introduction

Section 53: HTML Revisited

Lecture 381 HTML/CSS Revisited Explanation

Lecture 382 Introduction to HTML

Lecture 383 HTML “Hello World”

Lecture 384 Elements

Lecture 385 Attributes

Lecture 386 Lists & Tables

Lecture 387 Styles

Lecture 388 Formatting

Lecture 389 Classes

Lecture 390 Hyperlinks

Lecture 391 Forms

Lecture 392 Buttons

Lecture 393 Iframes

Lecture 394 Style Guide

Lecture 395 Summary

Lecture 396 Quiz

Section 54: CSS Revisited

Lecture 397 Introduction to CSS

Lecture 398 Syntax

Lecture 399 Selectors

Lecture 400 CSS Box Model

Lecture 401 Text

Lecture 402 Fonts

Lecture 403 Icons

Lecture 404 Links

Lecture 405 Lists and Tables

Lecture 406 Transforming and Positioning Elements

Lecture 407 Important

Lecture 408 Math Functions

Lecture 409 Variables

Lecture 410 Media Queries

Lecture 411 Flexbox

Lecture 412 Summary

Lecture 413 Quiz

Section 55: Python Advanced

Lecture 414 Introduction

Section 56: Project I - The Front-End

Lecture 415 Demo

Lecture 416 Setup

Lecture 417 Layout

Lecture 418 Placing the Elements

Lecture 419 Assets and Icons

Lecture 420 Hyperlinks

Lecture 421 Colgroup

Lecture 422 Styling

Lecture 423 Bringing It Together

Lecture 424 Finished Product

Section 57: Flask - The Back-End

Lecture 425 Introduction to Flask

Lecture 426 Routes and Templates

Lecture 427 Static Files

Lecture 428 Request Object and HTTP Methods

Lecture 429 Template Inheritance

Lecture 430 Form Data

Lecture 431 Cookies and Sessions

Lecture 432 Redirects, Errors, and Flash Messages

Lecture 433 Extensions

Lecture 434 Mail

Lecture 435 WTF

Lecture 436 SQL Alchemy

Lecture 437 Deployment

Lecture 438 Summary

Section 58: Project II - Combining Front-End and Back-End

Lecture 439 Introduction and Demo

Lecture 440 Folder Structure

Lecture 441 Creating a Flask App

Lecture 442 Linking Static Files

Lecture 443 Creating the Database

Lecture 444 Flask Login

Lecture 445 Login Functionality

Lecture 446 Creating Forms

Lecture 447 User Product Methods

Lecture 448 Product Routes

Lecture 449 Flash Messages

Section 59: Further Study: Algorithms Design and Analysis

Lecture 450 Recursion I

Lecture 451 Recursion II

Lecture 452 Recursion III

Lecture 453 Complexity Analysis I

Lecture 454 Complexity Analysis II

Lecture 455 Sorting Using Selection Sort

Lecture 456 Sorting Using Bubble Sort

Lecture 457 Sorting Using Insertion Sort

Lecture 458 Divide and Conquer

Lecture 459 Merge Sort Recursively

Lecture 460 Merge Sort Complexity Analysis

Lecture 461 Iterative Merge Sort

Section 60: Further Study: NumPy

Lecture 462 Installation and Must-Know Functions

Lecture 463 Broadcasting

Lecture 464 Statistical Functions

Section 61: Further Study: Pandas

Lecture 465 Installation and Introduction

Lecture 466 Series, Mutability, Initializing with Dictionaries

Lecture 467 Series, NumPy

Lecture 468 Statistical Functions and Indexing Using loc/iloc

Lecture 469 Filtering Dataframes

Lecture 470 Slicing Dataframes and the Group By Method

Lecture 471 Group By, Pivot and Sorting Methods

Lecture 472 Pivot vs Melt Methods

Lecture 473 Concat and Merge Methods I

Lecture 474 Concat and Merge Methods II

Lecture 475 Practice I

Lecture 476 Str and Replace Methods

Lecture 477 Reindex, Query, Dropna, and Fillna Methods

Lecture 478 Practice II

Lecture 479 Shift, iat, and Sub Methods

Lecture 480 Recap I

Lecture 481 Recap II

Lecture 482 Visualizations: Seaborn Library Part I

Lecture 483 Visualizations: Seaborn Library Part II

Lecture 484 Wrapping Up

Lecture 485 Course Conclusion

Lecture 486 Last Words

Aspiring web developers and programmers who want to start their journey in full-stack web development.,Students and professionals looking to upgrade their technical skills and knowledge in web development.,Individuals interested in understanding the complete lifecycle of web application development from scratch.