Complete Python Bootcamp For Everyone From Zero To Hero 2023

Complete Python Bootcamp For Everyone From Zero To Hero 2023
Last updated 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Master Python Programming by building 100+ REAL PROJECTS . Learn OOP, Automation,GUI,REST and more to create your APPs.

What you’ll learn
You will master the Python programming language by building 100+ projects.
Be able to use Python programming for data scraping and automation
Build GUIs and Desktop applications with Python programming
Create a portfolio of real Python projects to apply for developer jobs
You will learn Selenium, Beautiful Soup, Request, Flask, Pandas SQLite, MySQL, PostgreSQL, Seabon, and Matplotlib.
Requirements
No programming experience needed – you will learn everything you need to know.
Access to a computer with an internet connection.
Description
Overview

Section 1: Introduction

Section 3: Why We Program?

Lecture 3 Why should You Learn to Write Programs?

Lecture 4 Computer Hardware Architecture

Lecture 5 Installing Python on Mac

Lecture 6 Installing Python on Windows
Lecture 7 Learning a New Language

Lecture 8 The First Conversation with Python

Lecture 9 What is a Bug? What are the Types of Bug?

Lecture 10 What is Debugging?

Lecture 11 Interpreter and Compiler

Lecture 12 Code Editors and IDEs

Lecture 14 Solution to Print Statement Coding Exercise

Lecture 15 Congratulations!!!

Lecture 16 Goals: what you will make by the end of this section

Lecture 17 Values and Types

Lecture 19 Solution to Switch Values

Lecture 20 Operations and Expressions

Lecture 21 Input Function – Asking the User for Input

Lecture 22 Solution to Input Function

Lecture 23 Type Errors and Type Conversion

Lecture 24 Comments in Python

Lecture 26 Solution to Data Types

Lecture 27 f Strings and Rounding Numbers

Lecture 28 Well Done!

Lecture 29 Project 1: Greeting

Lecture 30 Project 2: Band Name Generator

Lecture 31 Project 3: Gross Pay

Lecture 32 Project 4: Celsius to Fahrenheit

Lecture 33 Project 5: Trip Cost Calculator

Section 6: Conditional Execution

Lecture 34 Goals: what you will make by the end of this section

Lecture 35 Boolean Expressions

Lecture 36 Conditional Execution (IF)

Lecture 37 Solution to Even or Odd

Lecture 38 Nested Conditionals

Lecture 39 Chained Conditionals (IF/ELIF/ELSE)

Lecture 40 Solution to BMI Calculator

Lecture 41 Multiple IF Statements

Lecture 42 Solution to Burger Order

Lecture 43 Logical Operators

Lecture 44 Try and Except

Section 7: Real Python Projects ( Conditional Execution)

Lecture 45 Project 6 – Gross Pay with Overtime

Lecture 46 Project 7 – Leap Year

Lecture 47 Project 8 – Love Calculator

Lecture 48 Project 9 – Gross Program using Try and Except

Lecture 49 Project 10 – Score Checker

Section 8: Python Functions

Lecture 50 Goals: what you will make by the end of this section

Lecture 51 Function Calls and Built in Functions – Type and Math Functions

Lecture 52 What is a Module? – Python Math Module

Lecture 53 Solution to Area of Circle

Lecture 54 Solution to Factorial Exercise

Lecture 55 Randomisation in Python

Lecture 56 Solution to Coin Toss

Lecture 57 Creating New Functions – User Defined Functions

Lecture 58 Indentation in Python

Lecture 59 Functions in Practice

Lecture 60 Function with Inputs – Parameters and Arguments

Lecture 61 Solution to Area of Square

Lecture 62 Solution to Volume Converter

Lecture 63 Positional and Keyword Arguments

Lecture 64 Solution to Painting the Wall

Lecture 65 Functions with Outputs

Lecture 66 Solution to Concatenate

Lecture 67 Multiple Returns

Lecture 68 Solution to Password Controller

Lecture 69 Docstrings

Lecture 70 Solution to Calculator

Lecture 71 Print or Return?

Lecture 72 Why Functions?

Section 9: Real Python Projects (Python Functions)

Lecture 73 Project 11 – Leap Year with Function

Lecture 74 Project 12 – Gross Pay with Functions

Lecture 75 Project 13 – Cold, Warm and Hot

Lecture 76 Project 14 – Maximum of Three Numbers

Section 10: Iteration (Lists)

Lecture 77 Goals: what you will make by the end of this section

Lecture 78 Understanding the Lists

Lecture 79 The Complete Data Structures and Algorithms in Python

Lecture 80 For Loop

Lecture 82 Solution to Highest Score

Lecture 83 Solution to Find Integer Numbers

Lecture 84 Solution of Above Average Scores

Lecture 85 Loop Over Custom Function

Lecture 86 Using range() Function with For Loop

Lecture 87 Solution to Adding Odd Numbers

Lecture 88 Solution to Adding Even Numbers in ANY Range

Lecture 89 For Loop in Practice

Lecture 90 While Loop

Lecture 91 While Loop in Practice – Hurdle 2

Lecture 92 Solution to Check Username

Lecture 93 While Loop in Practice – Hurdle 3

Lecture 94 While Loop in Practice – Hurdle 4

Lecture 95 Finishing iterations with CONTINUE and BREAK

Lecture 96 Solution to Numbers Divisible by 5 Until 130

Lecture 97 Solution to Factorial

Lecture 98 Solution to Sum, Count and Average of Entered Numbers

Lecture 99 Solution to Maximum and Minimum of Input Numbers

Section 11: Real Python Projects (Iteration)

Lecture 100 Project 15 – Dice Rolling Simulator

Lecture 101 Project 16 – Fizz Buzz Game

Lecture 102 Project 17 – Guessing the Number

Lecture 103 Project 18 – Password Generator

Lecture 104 Project 19 – Rock, Paper and Scissors

Section 13: Introduction to Data Structures

Lecture 106 What is a Data Structure?

Lecture 107 What is an Algorithm?

Lecture 108 Why are Data Structures and Algorithms important?

Lecture 109 Types of Data Structures

Section 14: Strings

Lecture 110 Goals: what you will make by the end of this section

Lecture 111 What is a String?

Lecture 112 Solution to Sum of Digits of 2 Digits Number

Lecture 113 String Traversal

Lecture 114 Solution to Backward Traversal

Lecture 115 Solution to Sum of Digits

Lecture 116 Solution to Count Characters in a String

Lecture 117 String Operations

Lecture 118 Solution to First and Last 2 Characters

Lecture 119 String Methods

Lecture 120 Solution to Replace Character in a String

Lecture 121 Parsing Strings

Lecture 122 Escape Sequence

Lecture 123 String Formatting

Lecture 124 Solution to Format a String

Lecture 125 Solution to Print Pattern

Lecture 126 Project 20 – String Formatting

Section 15: More on Python Lists

Lecture 127 Goals: what you will make by the end of this section

Lecture 128 More on Lists

Lecture 129 Solution to Square of Items

Lecture 130 Index Out Of Range

Lecture 131 List Operations

Lecture 132 Solution to Reverse a List using Slice Operator

Lecture 133 List Methods Practice

Lecture 134 Solution to Update the First Occurrence

Lecture 135 Solution to First and Last Characters

Lecture 136 List and Functions

Lecture 137 Solution to Create a List from Two Lists

Lecture 138 Solution Remove and Add

Lecture 139 Solution to Three Equal Chunks

Lecture 140 Strings and Lists

Lecture 141 Solution to Format List

Lecture 142 Nested List

Lecture 143 Solution to Add Item in Nested List

Lecture 144 Solution to Extend Nested List

Lecture 145 Objects and Values

Lecture 146 Solution to List Addition with Function

Lecture 147 Solution to Concatenate Two Lists Index-wise

Section 16: Real Python Projects (List)

Lecture 148 Project 21 – Bill Roulette

Lecture 149 Project 22 – Find the Gold

Lecture 150 Project 23 – Escaping the Maze (From Previous Section)

Section 17: Project 24 – Cryptography with Python : Caesar Cipher

Lecture 151 How to Encrypt Data?

Lecture 152 Debugging Encrypt Function

Lecture 153 How to Decrypt Data?

Lecture 154 Debugging Decrypt Function

Lecture 155 Putting Encrypt and Decrypt Together

Lecture 156 Code Optimization

Section 18: Project 25 – Practice What We Learned

Lecture 157 Dividing the Program into Steps

Lecture 158 Step 1 – Creating a Function

Lecture 159 Step 2 – Constructing the Loop

Lecture 160 Step 3 – Putting Everything Together

Section 19: Project 26 – Putting Everything Together (Hangman)

Lecture 161 Goals – How Complete Project Looks Like?

Lecture 163 Step 1 – Picking a secret word and asking player input

Lecture 164 Step 2 – Check letter

Lecture 165 Step 3 – Guess Letter Again using While Loop

Lecture 166 Step 4 – Track Lives

Lecture 168 Optimize the Program

Section 20: Dictionaries

Lecture 169 Goals: what you will make by the end of this section

Lecture 170 What is a Dictionary?

Lecture 171 Creating Dictionary and Accessing Dictionary Elements

Lecture 172 Insert/Update an Element in Dictionary

Lecture 173 Solution to Generate Dictionary

Lecture 174 Traverse / Search for Element in Dictionary

Lecture 175 Solution to Multiply Dictionary Items

Lecture 176 Solution to Student Grades

Lecture 177 Remove Elements from Dictionary

Lecture 178 Solution to Rename Key

Lecture 179 IN / NOT IN Operators with Dictionary

Lecture 180 Solution to Count Characters in a Word

Lecture 181 Nested Dictionaries

Lecture 182 Solution to Nesting Dictionary Exercise

Lecture 183 Handling Missing Keys in Dictionary – get() and setdefault() methods

Lecture 184 Keys in Dictionary – fromkeys() and keys() methods

Lecture 185 Solution to Group Value Type

Lecture 186 Dictionary items() Method

Lecture 187 Solution Length of Dictionary Values

Lecture 188 Dictionary update() Method

Lecture 189 Solution to Concatenate Three Dictionaries

Lecture 190 Dictionary values() Method

Lecture 191 Solution to Remove Empty Items

Lecture 192 Reference to Dictionary – copy() Method

Lecture 193 Solution to Merge Two Dictionary

Lecture 194 Deep Copy

Lecture 195 Solution to Custom Deep Copy for List Values

Lecture 196 Dictionary Operations and built in Python Functions

Lecture 197 Dictionary vs List

Section 21: Real Projects (Dictionary)

Lecture 198 Project 27 – Calculate Total Price

Section 22: Project 28 – Blind Auction Program

Lecture 200 Blind Auction Implementation

Lecture 201 Blind Auction Find Highest Big

Lecture 202 Blind Auction Bug Fix

Section 23: Project 29 – Quiz APP

Lecture 204 Project Setup – Create Questions Dictionary

Lecture 205 Quiz APP Implementation

Lecture 206 Check Player’s Answer

Lecture 207 Switch Players

Lecture 208 Find Winner

Lecture 209 Show Correct Answers

Lecture 210 Optimize the Program

Section 24: Tuples

Lecture 211 Goals: what you will make by the end of this section

Lecture 212 What is a Tuple?

Lecture 213 Why Tuples?

Lecture 214 Unpacking Tuples

Lecture 215 Solution to Sum Tuple Elements using UNPACK

Lecture 216 Traverse Tuple – Enumerate()

Lecture 217 Solution to Even Index with Enumerate()

Lecture 218 Searching in Tuple

Lecture 219 Tuple Operations / Functions

Lecture 220 Solution to Find Most Frequent Item

Lecture 221 Nested Tuples

Lecture 222 Nested Tuple Indexing

Lecture 223 Solution to Nesting Indexing

Lecture 224 Tuple vs List

Lecture 225 Convert Tuple to Dictionary Solution

Lecture 226 Solution to Comparing Tuples

Lecture 227 How does it work?

Lecture 229 Separate non Letters from beginning of the word

Lecture 230 Separate non letters from end of the word

Lecture 231 Translate to Pig Latin

Lecture 232 Complete Project

Lecture 233 Refactor the Code

Lecture 234 Fixing the Bugs

Section 26: Project 31 – Music APP

Lecture 235 Complete Project

Lecture 237 Create Nested Tuple

Lecture 238 Print Logo and Playlist

Lecture 239 Choose a Song to Play

Lecture 240 Finalize the Project

Section 27: Sets

Lecture 241 Goals: what you will make by the end of this section

Lecture 242 What is Set? Set Terminology

Lecture 243 Sets in Python

Lecture 244 Set Membership

Lecture 245 Adding Members to Set

Lecture 246 Solution to Adding Members from List

Lecture 247 Solution to Remove Duplicates

Lecture 248 Deleting Items from Set

Lecture 249 Solution to Delete Restricted Items

Lecture 250 Delete Restricted Items Using Remove Method

Lecture 251 Union Set

Lecture 252 Solution to Combine Sets

Lecture 253 Solution to Union List of Sets

Lecture 254 Set Intersection

Lecture 255 Solution to Find Numbers Divisible by 3 and 4

Lecture 256 Solution to Find Preposition

Lecture 257 Set Subtraction
Lecture 258 Solution to Difference of More than two Sets

Lecture 259 Set Symmetric Difference

Lecture 260 Modifying Sets

Lecture 261 Subsets and Supersets

Section 28: Real Projects (Sets)

Lecture 262 Project 32 – Powerball Lottery

Lecture 263 Powerball Lottery – Step 1

Lecture 264 Powerball Lottery – Step 2

Lecture 265 Powerball Lottery – Step 3

Lecture 266 Powerball Lottery – Step 4

Lecture 267 Powerball Lottery Final

Lecture 268 Bug Fix

Section 29: Data Structures and Algorithms in Python

Lecture 269 Data Structures and Algorithms in Python

Lecture 270 DSA in Python Curriculum

Lecture 271 The Complete Data Structures and Algorithm Course in Python

Section 31: Recursion

Lecture 273 Goals: what you will learn by the end of this section

Lecture 274 What is Recursion?

Lecture 275 Why do we need Recursion?

Lecture 276 The Logic Behind Recursion

Lecture 277 Recursive vs Iterative Solution

Lecture 278 How to write recursive solution in 3 steps?

Lecture 279 Fibonacci Numbers using Recursion

Lecture 280 Solution to Sum of List using Recursion

Lecture 281 Solution to ‘a’ to the power ‘b’ – using Recursion

Lecture 282 Solution to Sum of Positive Integers

Section 32: Project 33 – Flooder Game

Lecture 283 The Complete Project – How it looks like

Lecture 284 bext Module in Python

Lecture 285 Step 1 – Get New Board

Lecture 286 Step 2 – Display the Board

Lecture 287 Step 3 – Ask for Player Move

Lecture 288 Step 4 – Check for Win

Section 33: Scope in Python

Lecture 289 Goals: what you will learn by the end of this section

Lecture 290 Global vs Local Scope

Lecture 291 Block Scope in Python

Lecture 293 Python Constants and Global Scope

Section 34: Project 34 – BlackJack – Practice What we have learnt

Lecture 294 The Complete Project – How it looks like

Lecture 295 BlackJack Program Requirements

Lecture 296 Step 1 – Set the Constants

Lecture 297 Step 2 – Get Bet

Lecture 298 Step 3 – Get Deck

Lecture 299 Step 4 – Display Cards

Lecture 300 Step 5 – Get Hand Values

Lecture 301 Step 6 – Display Hands

Lecture 302 Step 7 – Get Move

Lecture 303 Final Step – Complete Project

Section 35: Debugging – Find and Fix Programming Errors

Lecture 304 Goals: what you will learn by the end of this section

Lecture 305 Identify the Problem (Error)

Lecture 306 Reproduce the Bug

Lecture 307 Analyse Each Line

Lecture 308 Fix Errors – IDE Messages

Lecture 309 Using print() in Debugging

Lecture 310 Debugger Tools

Lecture 311 Error Types – Syntax Errors

Lecture 312 Runtime Errors

Lecture 313 Logical Errors

Lecture 314 Debugging – Challenge 1

Lecture 315 Debugging – Challenge 2

Lecture 316 Debugging – Challenge 3

Lecture 317 Handling the Errors

Lecture 318 Handling Exceptions – Challenge 1

Lecture 319 Raise Your Own Exceptions

Lecture 320 Handling Exceptions – Challenge 2

Section 36: Regular expressions

Lecture 321 Goals: what you will learn by the end of this section

Lecture 322 What is Regular Expression?

Lecture 323 Solution – Find Three Consecutive Numbers

Lecture 324 Metacharacters

Lecture 325 Groups and Alteration

Lecture 326 Repetition in Regular Expression Patterns ( ?, *,)

Lecture 327 Solution to Repetition EX1

Lecture 328 Solution to Repetition EX2

Lecture 329 Solution to Repetition EX3

Lecture 330 Greedy and Non Greedy Matches

Lecture 331 Character Classes

Lecture 332 Solution to Character Class EX1

Lecture 333 Solution to Character Class EX2

Lecture 334 Custom Character Classes

Lecture 335 Solution to Character Class EX3

Lecture 336 Solution to Character Class EX4

Lecture 337 Solution to Character Class EX5

Lecture 338 Caret, Dollar and Dot / Dot-Star

Lecture 339 Solution to Regex Pattern EX6

Lecture 340 Solution to Regex Pattern EX7

Lecture 341 Solution to Regex Pattern EX8

Lecture 342 Anchors

Lecture 343 Solution to Anchors

Lecture 344 More on Regex Groups

Lecture 345 Solution to is Decimal

Lecture 346 Backreferences

Lecture 347 More on Grouping Constructs

Lecture 348 Regex Matching with Flags

Lecture 349 re Searching Functions

Lecture 350 re Substitution Functions

Lecture 351 Solution to Regex Substitution

Lecture 352 re Utility Functions

Section 37: Project 35 – Phone and Email Scraper

Lecture 353 What we will make?

Lecture 354 TODO 1 – Phone Regex Pattern

Lecture 355 TODO 2,3 and 4

Section 38: Local Development Environment – Installing PyCharm

Lecture 356 Goals: what you will learn by the end of this section

Lecture 357 Steps for setting up Local Development Environment

Lecture 358 Download PyCharm (Windows/Mac)
Lecture 359 Install PyCharm on Mac

Lecture 360 Install PyCharm on Windows
Lecture 361 Common Features of PyCharm

Section 39: Project 36 – Strong Password Detection using Local Development Environment

Lecture 362 What we will develop?

Lecture 363 Implementation using Regular Expressions

Section 40: Files and Directories

Lecture 364 Goals: what you will make by the end of this section

Lecture 365 File Systems

Lecture 366 Terminal on Mac and Command Prompt Windows
Lecture 367 Relative and Absolute File Paths

Lecture 368 Navigate the File System with OS Module

Lecture 369 Get File Details with OS Module

Lecture 370 More on OS Module

Lecture 371 Solution Number of Files in Current Directory

Lecture 372 List All Files in Directory Recursively

Lecture 373 Filename Matching with glob Module

Lecture 374 Python’s New Pathlib Module

Lecture 375 Operating System Differences

Lecture 376 Find Last Modified File using Pathlib

Lecture 377 Project 38 – Display a Directory Tree

Lecture 378 Project 39 – Rename all Files in a Directory TODO 1

Lecture 379 Project 39 – Rename all Files in a Directory TODO 2

Lecture 380 Open and Read Files Text Files

Lecture 381 File Cursor, Read Line and Read Lines

Lecture 382 Searching Through a File

Lecture 383 Reading File Challenge / Exercise 1

Lecture 384 Parsing Text File

Lecture 385 Solution to Reading File Exercise 2

Lecture 386 Solution to Number of Characters

Lecture 387 File Modes

Lecture 388 Writing to Files

Lecture 389 Printing a Text to Files

Lecture 390 Time Table Exercise – (File Writing)

Lecture 391 What is a Binary File?

Lecture 392 Writing and Reading to Binary File

Lecture 393 Shelve Module

Lecture 394 Data Manipulation with Shelve

Lecture 395 More on Shelve Module

Lecture 396 Moving and Copying Files

Lecture 397 Deleting Files

Section 41: Project 40 – Quiz using Files

Lecture 398 Project Overview

Lecture 399 Step 1 and 2 – Parse Data

Lecture 400 Step 3 – Question Files

Lecture 401 Step 4 – Answer Files

Lecture 402 Step 5 – Write Content

Lecture 403 Step 6 – Delete Files

Section 42: Object Oriented Programming – OOP

Lecture 404 Goals: what you will make by the end of this section

Lecture 405 What is OOP? Why we need it?

Lecture 406 Object Oriented Thinking

Lecture 407 OOP Concepts: Classes, Objects, Attributes and Mehtods

Lecture 408 Constructing Objects – Accessing Attributes and Methods

Lecture 409 BlackJack OOP

Lecture 412 Classes – Create Your Own Class

Lecture 413 Class Attributes

Lecture 414 Class Methods

Lecture 415 OOP Challenge 1

Lecture 416 OOP Challenge 2

Lecture 417 OOP Challenge 3

Lecture 418 Checking Instance Types

Lecture 419 Encapsulation

Lecture 420 Getters and Setters

Lecture 421 Getters and Setters Challenge

Lecture 422 Inheritance

Lecture 423 Inheritance with Parameters

Lecture 424 Inheritance Challenge

Lecture 425 Overriding Methods

Lecture 426 Overriding Methods Challenge

Lecture 427 Abstraction
Section 43: Project 41 – Bike Rental System using OOP

Lecture 428 Project Overview

Lecture 429 datetime Module in Python

Lecture 430 TODO 1, 2 and 3

Lecture 431 TODO 4 and 5

Lecture 432 TODO 6

Lecture 433 TODO 7, 8 and 9

Lecture 434 TODO 10, 11 and 12

Lecture 435 Challenge Solution

Section 45: Excel Automation – Openpyxl Library

Lecture 437 Goals: what you will make by the end of this section

Lecture 438 Introduction – Advantages and Use Cases of Openpyxl

Lecture 439 Reading Excel Spreadsheets

Lecture 440 Iterating Through Excel

Lecture 441 Columns, Rows and Cells

Lecture 442 Manipulate Excel Data

Section 46: Project 42 – Automate Daily Routine Excel Task

Lecture 443 Project Overview

Lecture 444 Step 1 – Reading Data from Excel

Lecture 445 Step 2 – Manipulate data using Data Structures

Lecture 446 Step 3 – Write Output to the File

Section 47: Excel Automation – Openpyxl Library continued

Lecture 447 Create Spreadsheet, Sheets and Update Cells

Lecture 448 Manage Rows and Columns

Lecture 449 Generate Random Excel Data – Challenge

Lecture 450 Excel Formulas

Lecture 451 Cell Styles

Lecture 452 Conditional Formatting

Section 48: Project 43 – Transpose Excel File from Rows to Columns

Lecture 455 Project Objective

Lecture 456 Steps For Completing the Project

Section 49: PDF Automation

Lecture 457 Goals: what you will make by the end of this section

Lecture 458 Introduction

Lecture 459 Extract PDF Metadata and Text

Lecture 460 Create, Merge and Copy PDFs

Lecture 461 Split, Rotate and Overlay

Lecture 462 Decrypt and Encrypt

Section 50: Project 44 – Combine Specific Pages (add cover page) to PDF

Lecture 463 Project Solution – Todo 1 , 2 and 3

Section 51: Web Scraping with Beautiful Soup

Lecture 464 Goals: what you will make by the end of this section

Lecture 465 What is Web Scraping?

Lecture 466 Basic HTML Skills

Lecture 467 Parsing HTML with Beautiful Soup

Lecture 468 Find and Select Specific Elements

Lecture 469 Steps for Web Scraping a Real Website

Lecture 470 Do All Websites Allow Web Scraping?

Section 52: Project 45 – Beautiful Soap – Airpods rating on Amazon

Lecture 471 Project Objective

Lecture 472 Steps for Completing the Project

Section 53: Selenium Library – Python BOTs

Lecture 473 Goals: what you will make by the end of this section

Lecture 474 Why Selenium?

Lecture 475 Setup Selenium

Lecture 476 How Select Elements in Website

Lecture 477 Scrap Data using Selenium

Lecture 478 How to Clicking Buttons and Filling Text Fields

Lecture 479 Sending Special Keys and Browser Buttons

Section 54: Project 46 – Selenium – Follow on Instagram

Lecture 480 Project Objective

Lecture 481 Steps to Complete the Project

Section 55: GUI Automation

Lecture 482 Goals: what you will make by the end of this section

Lecture 483 What is GUI Automation? Installing PYAUTOGUI Module

Lecture 484 Mouse Movement

Lecture 485 Mouse Interaction
Lecture 486 Mouse Drag – Challenge

Lecture 487 Screenshot and Image Recognition

Lecture 488 Controlling the Keyboard and Show Messages

Section 56: Project 47 – GUI Automation – Looking Busy

Lecture 489 Project Objective

Lecture 490 Solution

Section 57: Project 48 – Form Filler

Lecture 491 Project Objective

Lecture 492 Steps To Complete the Project

Section 58: Working with CSV Data – The Pandas

Lecture 493 Goals: what you will make by the end of this section

Lecture 494 Reading CSV

Lecture 495 Data Types and Basic Statistics

Lecture 496 Pandas Data Structures – Series

Lecture 497 Accessing Series Elements

Lecture 498 Pandas Data Structures – DataFrame

Lecture 499 Accessing DataFrame

Lecture 500 Query Dataset

Lecture 501 Group and Aggregate the Data

Lecture 502 Write to CSV

Lecture 503 Pandas CSV Challenge

Section 60: Turtle Module

Lecture 505 Goals: what you will make by the end of this section

Lecture 506 Introduction to Turtle Graphics

Lecture 507 Move Turtle

Lecture 508 Draw Shape – Challenge 1

Lecture 509 Drawing and Filling Present Shapes

Lecture 510 Drawing Polygons

Lecture 511 Draw Dashed Shapes

Lecture 512 RGB Color – Generate Random Color

Lecture 513 Screen and Turtle Properties

Lecture 514 Move Random Directions – Challenge 2

Lecture 515 How to Create Games with Turtle

Lecture 516 Write Method – Default Values for Function Arguments

Section 61: Project 49 – Draw Panda using Turtle Module

Lecture 517 Project Objective

Lecture 518 Steps to Complete the Project

Section 62: Project 50 – Draw National Flag of India

Lecture 519 Project Objective

Lecture 520 Steps to Complete the Project

Section 63: Project 51 – Draw National Flag of Your COUNTRY

Lecture 521 Project Objective

Section 64: Project 52 – Schengen Countries

Lecture 522 What you will make

Lecture 523 Solution

Section 65: Project 53 – Turtle Race

Lecture 524 Project Objective

Lecture 525 Step 1 – Setup Screen

Lecture 526 Step 2 – Setup Turtle

Lecture 527 Step 3 – Move Turtles Randomly

Lecture 528 Step 4 – Define the Winner and Show Message

Lecture 529 Solution

Section 66: Project 54 – Snake Game using OOP

Lecture 530 What you will make by the end of section

Lecture 531 Steps to Complete the Project

Lecture 532 Step 1 – Create Game Screen and a Snake

Lecture 533 Step 2 – Moving Snake on the Screen

Lecture 534 Step 3 – Change the Direction of the Snake

Lecture 535 Step 4 – Create Snake Class

Lecture 536 Step 5 – Control Snake with Keys

Lecture 537 Step 6 – Create and Detect Food

Lecture 538 Step 7 – Create a Scoreboard

Lecture 539 Step 8 – Detect Collision with Wall

Lecture 540 Step 9 – Detect collision with Tail

Section 67: Tkinter Module

Lecture 541 Introduction to Tkinter

Lecture 542 Creating and Configuring Widgets

Lecture 543 Unlimited Positional and Keyword Arguments (*args and **kwargs)

Lecture 544 Widget Placement – Geometry Managers

Lecture 545 Handling Events

Lecture 546 Label Widget

Lecture 547 Button Widget

Lecture 548 Check and Radio Buttons

Lecture 549 Entry Widget

Lecture 550 Combobox and Spinbox

Lecture 551 Progress Bar and Scale

Lecture 552 Organize Widgets with Frame

Lecture 553 Top Level Window Widget

Lecture 554 Paned Window Widget

Lecture 555 Notebook Widget – Tabs

Lecture 556 Advanced Widgets – Text Widget

Lecture 557 Advanced Widgets – Text Widget Tag/Marks/Images

Lecture 558 Advanced Widgets – Treeview

Lecture 559 Adding Columns to Treeview

Lecture 560 Building Menu – Sub Menu

Lecture 561 Draw Line on Canvas

Lecture 562 Draw Complex Shapes on Canvas

Lecture 563 Scrollbar Widget

Lecture 564 Widget Style

Lecture 565 Message Box

Lecture 566 Pack Geometry Manager

Lecture 567 Grid Geometry Manager

Lecture 568 Place Geometry Manager

Lecture 569 Command Callbacks

Lecture 570 Keyboard Events

Lecture 571 Mouse Events

Lecture 572 Virtual Events

Section 68: Defining Main() Function in Python

Lecture 573 __main__ and __name__: Special Attributes

Lecture 574 Execution Modes

Lecture 575 Best Practices for __main__ Function

Section 69: Project 55 – Feedback Form

Lecture 576 What you will make by the end of the section

Lecture 577 Step 1 – Planing the Design

Lecture 578 Step 2 – Creating the Widgets

Lecture 579 Step 3 – Placing Widgets on Screen

Lecture 580 Step 4 – Binding to Events

Lecture 581 Step 5 – GUI Style

Section 70: Project 56 – Length Converter

Lecture 582 What you will make by the end of the section

Lecture 583 Step 1 – Design the Length Converter and Create Widgets

Lecture 584 Step 2 – Place Widgets

Lecture 585 Step 3 – Create Method / Bind Events / Setup Layout

Section 71: Project 57 – Text Editor

Lecture 586 What you will make by the end of the section

Lecture 587 Step 1 – Design the Text Editor and Creating Widgets

Lecture 588 Step 2 – Place the Widgets

Lecture 589 Step 3 – Create Methods and Bind Events

Section 73: Introduction to Databases in Python

Lecture 591 What is a Database?

Lecture 592 Relational Databases

Lecture 593 Non Relational Databases

Lecture 594 Python Database API

Section 74: Using SQLite in Python

Lecture 595 What is SQL?

Lecture 596 What is SQLite?

Lecture 597 Connect SQLite with Python

Lecture 598 SQLite Browser

Lecture 599 Create Table in SQLite

Lecture 600 What is Cursor?

Lecture 601 INSERT INTO – Adding Data to a Table in SQLite

Lecture 602 Insert data from CSV to SQLite – Exercise

Lecture 603 SELECT – Retrieve Data from SQLite

Lecture 604 WHERE – Filter Data in SQLite

Lecture 605 UPDATE – Change Data

Lecture 606 DELETE / DROP – Remove Data

Lecture 607 JOINS – Access Tables Together

Section 75: Project 58 – Password Manager using SQLite

Lecture 608 What you will make by the end of the section

Lecture 609 Step 1 – Design Layout and Create Widgets

Lecture 610 Step 2 – Place Widgets on Screen

Lecture 611 Step 3 – Develop Backend

Lecture 612 Step 4 – Connecting Backend with Frontend

Section 76: SQLAlchemy Core

Lecture 613 What is SQLAlchemy?

Lecture 614 Connecting Database and Create Table using SQLAlchemy Core

Lecture 615 Insert Data to SQLite using SQLAlchemy Core

Lecture 616 Retrieve Data From SQLite using SQLAlchemy Core

Lecture 617 Update Data using SQLAlchemy Core

Lecture 618 Delete Data using SQLAlchemy Core

Lecture 619 Join Tables using SQLAlchemy Core

Section 77: Project 59 – Password Manager using SQLAlchemy Core

Lecture 620 What you will make by the end of the section

Lecture 621 Develop Backend Using SQLAlchemy Core

Section 78: SQLAlchemy ORM

Lecture 622 Connecting Database and Create Table using SQLAlchemy ORM

Lecture 623 Insert Data to Database using SQLAlchemy ORM

Lecture 624 Retrieve Data From Database using SQLAlchemy ORM

Lecture 625 Filter Operations SQLAlchemy ORM

Lecture 626 Update Data using SQLAlchemy ORM

Lecture 627 Delete Data From Database using SQLAlchemy ORM

Lecture 628 Building Relationship SQLAlchemy ORM

Lecture 629 Join Tables using SQLAlchemy ORM

Section 79: Project 60 – Bookstore

Lecture 630 Project Objective

Section 80: Using MySQL in Python

Lecture 631 What is MySQL?

Section 81: Project 61 – MySQL App

Lecture 632 Project Objective

Section 82: Using PostgreSQL in Python

Lecture 633 What is PostgreSQL?

Section 83: Project 62 – PostgreSQL

Lecture 634 Project Objective

Section 84: Web Services – RESTful APIs with Flask

Lecture 635 Important Message

Section 85: Project 63 – APIs

Lecture 636 Project Objective

Section 87: List Comprehension

Lecture 638 What is List Comprehension?

Lecture 639 Coding Exercise – List Comprehension – Squares

Lecture 640 Using Conditional Logic – List Comprehension

Lecture 641 Apply List Comprehension to Password Generator Method

Lecture 642 Dictionary Comprehension

Lecture 643 Coding Exercise – Dictionary Comprehension

Lecture 644 Walrus Operator

Section 88: Advanced Python – Lambda , Generators, Decorators

Lecture 645 Important Message

Section 89: Multithreading in Python

Lecture 646 Important Message

Section 90: Data and Meta Classes

Lecture 647 Important Message

Section 91: Project 64 – Advanced Python

Lecture 648 Project Objective

Section 93: Matplotlib

Lecture 650 Important Message

Section 94: Seaborn

Lecture 651 Important Message

Section 95: Project 65 – Titanic Project

Lecture 652 Project Objective

Section 96: Project 66 – Stack Market Analyses

Lecture 653 Project Objective

Section 98: Project 67 – Portfolio Project (Files and Directories)

Section 99: Project 68 – Portfolio Project (Files and Directories)

Section 100: Project 69 – Create Amazon Price Tracker (Beautiful Soup)

Lecture 655 Project Overview

Section 101: Project 70 – Website Blocker

Lecture 656 Project Overview

Section 102: Project 71 – Create Spotify Playlist (APIs)

Lecture 657 Project Overview

Section 103: Project 72 – 100

Lecture 658 Important Message

Lecture 659 Bonus Lecture