Srbija Posted October 24, 2022 Share #1 Posted October 24, 2022 Python For Everyone: From Zero To Hero 2022 Published 9/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 27.74 GB | Duration: 70h 46m Master Python by building 100+ real projects . Learn OOP, Automation, GUI, Data Structures 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 for data scraping and automation Build GUIs and Desktop applications with Python Create a portfolio of real Python projects to apply for developer jobs You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, 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 Welcome to Python for everyone, the best and the most comprehensive Python course on the internet.At 70+ hours, this Python course is without a doubt the most comprehensive and detailed Python course available anywhere online. If you are someone who has zero programming experience, this course will take you from beginner to professional.Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Python programming and how these concepts are implemented in high level programming language.We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.The course has been updated to be 2022 ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Google, Microsoft, Amazon and more.This course explains everything in details with beautiful animated explanation videos and tens of real life projects which you will get to build. e.g. Ping Pong Game, Snake game, Blackjack , Form Filler and more.The curriculum was developed based on my 10+ years programming experience over a period of 2 years.We've taught over 100,000 students how to code and many have gone on to change their lives by becoming professional developers at top tech companies or starting their own tech startup.You do not need to waste your money on expensive bootcamps out there, the course teaches the same curriculum with lifetime access.The course is constantly updated with new content, with new projects and modules determined by students - it is a lifetime course.We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.The course includes over 70 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:Python 3 - the latest version of PythonLocal Development Environment - PyCharmPython Scripting and AutomationBuilt in Python Data StructuresRegular ExpressionsObject Oriented ProgrammingFiles and DirectoriesAutomate ExcelAutomate PDFAutomate Daily Routine TasksPython Game DevelopmentWeb ScrapingBeautiful SoupSelenium Web DriverRequestData SciencePandasGUI AutomationMatplotlibSeabornTurtlePython GUI Desktop App DevelopmentTkinterFlaskRESTAPIsDatabasesSQLSQLitePostgreSQLMy SQLAuthenticationand much much more!By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.You'll also build a portfolio of 100+ projects that you can show off to any potential employer. Including:HangmanEnglish to Pig LatinFlooder GameBlackjackSnake GamePong GameEmail and Phone Number ScraperQuiz APPMusic APPDrawing FlagsBuild Your Own Public APIAutomated Form Fillerand much much more!Sign up today, and look forward to:Video LecturesLecture SlidesCode Challenges and ExercisesReal Life ProjectsQuizzesProgramming Resources and NotesDownloadsDon not just take my word for it, check out what existing students have to say about my courses:"Great explaining and has a ton of exercises, and he is updating it till this day. He codes a lot in the course, and he is fast at it, so for people looking for a fast paced course, this is a great option!." - Hyper O."The teacher is great! he explains everything in full details especially with real life examples. he uses the right algorithm in making his teaching methods effective so students don't get bored and sleepy." - Precious Ogbonna Nwakama"Nicely explained with graphics for non non programmers. Thank you. Amazingly simple to understand. Best wishes to the instructor." - Shahnawaz Ayon"- Amazing Explanation-The guy explains everything.-He explains with diagrams. Then with algorithm. Then with code.-This three times explanation makes the topics very retentive for a learner.." - Abinash Dash"Thats how a course should be! Excellent explanation and lot of coding excercises to practice.I read some comments on the accent of the trainer being not so good and all, but its very clear in fact!Am excited for the next sections...." - Siddhesh Sule"Excellent course for those looking to understand data structures and algorithms from beginner to advanced level. The theoretical explanations are well done, along with concrete real life examples. All data structures and algorithms described and then implemented, which makes the concepts easier to understand and gives you a chance to apply them in a real practice. The top tech's interview questions and answers sections are excellent bonus which allow for preparing real interviews."- Johanna DavidSo what are you waiting for? Click the buy now button and join the world's best and most comprehensive development course. Overview Section 1: Introduction Lecture 1 START HERE - MUST WATCH!!! Section 2: --------------PART 1 - Getting Started with Python-------------- Lecture 2 Getting Started with Python 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 13 Getting Started with Code Editors Lecture 14 Solution to Print Statement Coding Exercise Lecture 15 Congratulations!!! Section 4: Variables, Expressions and Statements Lecture 16 Goals: what you will make by the end of this section Lecture 17 Values and Types Lecture 18 Variables 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 25 Variable Naming Lecture 26 Solution to Data Types Lecture 27 f Strings and Rounding Numbers Lecture 28 Well Done! Section 5: Real Python Projects ( Variable, Expressions and Statements) 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 81 Updating Variables 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 12: ----------------PART 2 - Python Data Structures---------------- Lecture 105 What you will learn in PART 2 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 162 Dividing the Complex Problem into a Flow Chart 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 167 Step 5 - Adding ASCII Art 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 199 Blind Auction Flowchart 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 203 How does it work? Flowchart 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 Section 25: Project 30 - English to Pig Latin Lecture 227 How does it work? Lecture 228 The Flowchart 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 236 Flowchart 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 Section 29: Data Structures and Algorithms in Python Lecture 268 Data Structures and Algorithms in Python Lecture 269 DSA in Python Curriculum Lecture 270 The Complete Data Structures and Algorithm Course in Python Section 30: -----PART 3 - Recursion, Regular Expressions, Files and OOP----- Lecture 271 What you will learn in PART 3 Section 31: Recursion Lecture 272 Goals: what you will learn by the end of this section Lecture 273 What is Recursion? Lecture 274 Why do we need Recursion? Lecture 275 The Logic Behind Recursion Lecture 276 Recursive vs Iterative Solution Lecture 277 How to write recursive solution in 3 steps? Lecture 278 Fibonacci Numbers using Recursion Lecture 279 Solution to Sum of List using Recursion Lecture 280 Solution to 'a' to the power 'b' - using Recursion Lecture 281 Solution to Sum of Positive Integers Section 32: Project 33 - Flooder Game Lecture 282 The Complete Project - How it looks like Lecture 283 bext Module in Python Lecture 284 Step 1 - Get New Board Lecture 285 Step 2 - Display the Board Lecture 286 Step 3 - Ask for Player Move Lecture 287 Step 4 - Check for Win Section 33: Scope in Python Lecture 288 Goals: what you will learn by the end of this section Lecture 289 Global vs Local Scope Lecture 290 Block Scope in Python Lecture 291 Modify Global Variable Lecture 292 Python Constants and Global Scope Section 34: Project 34 - BlackJack - Practice What we have learnt Lecture 293 The Complete Project - How it looks like Lecture 294 BlackJack Program Requirements Lecture 295 Step 1 - Set the Constants Lecture 296 Step 2 - Get Bet Lecture 297 Step 3 - Get Deck Lecture 298 Step 4 - Display Cards Lecture 299 Step 5 - Get Hand Values Lecture 300 Step 6 - Display Hands Lecture 301 Step 7 - Get Move Lecture 302 Final Step - Complete Project Section 35: Debugging - Find and Fix Programming Errors Lecture 303 Goals: what you will learn by the end of this section Lecture 304 Identify the Problem (Error) Lecture 305 Reproduce the Bug Lecture 306 Analyse Each Line Lecture 307 Fix Errors - IDE Messages Lecture 308 Using print() in Debugging Lecture 309 Debugger Tools Lecture 310 Error Types - Syntax Errors Lecture 311 Runtime Errors Lecture 312 Logical Errors Lecture 313 Debugging - Challenge 1 Lecture 314 Debugging - Challenge 2 Lecture 315 Debugging - Challenge 3 Lecture 316 Handling the Errors Lecture 317 Handling Exceptions - Challenge 1 Lecture 318 Raise Your Own Exceptions Lecture 319 Handling Exceptions - Challenge 2 Section 36: Regular expressions Lecture 320 Goals: what you will learn by the end of this section Lecture 321 What is Regular Expression? Lecture 322 Solution - Find Three Consecutive Numbers Lecture 323 Metacharacters Lecture 324 Groups and Alteration Lecture 325 Repetition in Regular Expression Patterns ( ?, *,) Lecture 326 Solution to Repetition EX1 Lecture 327 Solution to Repetition EX2 Lecture 328 Solution to Repetition EX3 Lecture 329 Greedy and Non Greedy Matches Lecture 330 Character Classes Lecture 331 Solution to Character Class EX1 Lecture 332 Solution to Character Class EX2 Lecture 333 Custom Character Classes Lecture 334 Solution to Character Class EX3 Lecture 335 Solution to Character Class EX4 Lecture 336 Solution to Character Class EX5 Lecture 337 Caret, Dollar and Dot / Dot-Star Lecture 338 Solution to Regex Pattern EX6 Lecture 339 Solution to Regex Pattern EX7 Lecture 340 Solution to Regex Pattern EX8 Lecture 341 Anchors Lecture 342 Solution to Anchors Lecture 343 More on Regex Groups Lecture 344 Solution to is Decimal Lecture 345 Backreferences Lecture 346 More on Grouping Constructs Lecture 347 Regex Matching with Flags Lecture 348 re Searching Functions Lecture 349 re Substitution Functions Lecture 350 Solution to Regex Substitution Lecture 351 re Utility Functions Section 37: Project 35 - Phone and Email Scraper Lecture 352 What we will make? Lecture 353 TODO 1 - Phone Regex Pattern Lecture 354 TODO 2,3 and 4 Section 38: Local Development Environment - Installing PyCharm Lecture 355 Goals: what you will learn by the end of this section Lecture 356 Steps for setting up Local Development Environment Lecture 357 Download PyCharm (Windows/Mac) Lecture 358 Install PyCharm on Mac Lecture 359 Install PyCharm on Windows Lecture 360 Common Features of PyCharm Section 39: Project 36 - Strong Password Detection using Local Development Environment Lecture 361 What we will develop? Lecture 362 Implementation using Regular Expressions Section 40: Files and Directories Lecture 363 Goals: what you will make by the end of this section Lecture 364 File Systems Lecture 365 Terminal on Mac and Command Prompt Windows Lecture 366 Relative and Absolute File Paths Lecture 367 Navigate the File System with OS Module Lecture 368 Get File Details with OS Module Lecture 369 More on OS Module Lecture 370 Solution Number of Files in Current Directory Lecture 371 List All Files in Directory Recursively Lecture 372 Filename Matching with glob Module Lecture 373 Python's New Pathlib Module Lecture 374 Operating System Differences Lecture 375 Find Last Modified File using Pathlib Lecture 376 Project 38 - Display a Directory Tree Lecture 377 Project 39 - Rename all Files in a Directory TODO 1 Lecture 378 Project 39 - Rename all Files in a Directory TODO 2 Lecture 379 Open and Read Files Text Files Lecture 380 File Cursor, Read Line and Read Lines Lecture 381 Searching Through a File Lecture 382 Reading File Challenge / Exercise 1 Lecture 383 Parsing Text File Lecture 384 Solution to Reading File Exercise 2 Lecture 385 Solution to Number of Characters Lecture 386 File Modes Lecture 387 Writing to Files Lecture 388 Printing a Text to Files Lecture 389 Time Table Exercise - (File Writing) Lecture 390 What is a Binary File? Lecture 391 Writing and Reading to Binary File Lecture 392 Shelve Module Lecture 393 Data Manipulation with Shelve Lecture 394 More on Shelve Module Lecture 395 Moving and Copying Files Lecture 396 Deleting Files Section 41: Project 40 - Quiz using Files Lecture 397 Project Overview Lecture 398 Step 1 and 2 - Parse Data Lecture 399 Step 3 - Question Files Lecture 400 Step 4 - Answer Files Lecture 401 Step 5 - Write Content Lecture 402 Step 6 - Delete Files Section 42: Object Oriented Programming - OOP Lecture 403 Goals: what you will make by the end of this section Lecture 404 What is OOP? Why we need it? Lecture 405 Object Oriented Thinking Lecture 406 OOP Concepts: Classes, Objects, Attributes and Mehtods Lecture 407 Constructing Objects - Accessing Attributes and Methods Lecture 408 BlackJack OOP Lecture 409 BlackJack OOP Solution Part 1 Lecture 410 BlackJack OOP Solution Part 2 Lecture 411 Classes - Create Your Own Class Lecture 412 Class Attributes Lecture 413 Class Methods Lecture 414 OOP Challenge 1 Lecture 415 OOP Challenge 2 Lecture 416 OOP Challenge 3 Lecture 417 Checking Instance Types Lecture 418 Encapsulation Lecture 419 Getters and Setters Lecture 420 Getters and Setters Challenge Lecture 421 Inheritance Lecture 422 Inheritance with Parameters Lecture 423 Inheritance Challenge Lecture 424 Overriding Methods Lecture 425 Overriding Methods Challenge Lecture 426 Abstraction Section 43: Project 41 - Bike Rental System using OOP Lecture 427 Project Overview Lecture 428 datetime Module in Python Lecture 429 TODO 1, 2 and 3 Lecture 430 TODO 4 and 5 Lecture 431 TODO 6 Lecture 432 TODO 7, 8 and 9 Lecture 433 TODO 10, 11 and 12 Lecture 434 Challenge Solution Section 44: ----PART 4 - PYTHON AUTOMATION: Automate Daily Routine TASKS---- Lecture 435 What you will learn in PART 4 Section 45: Excel Automation - Openpyxl Library Lecture 436 Goals: what you will make by the end of this section Lecture 437 Introduction - Advantages and Use Cases of Openpyxl Lecture 438 Reading Excel Spreadsheets Lecture 439 Iterating Through Excel Lecture 440 Columns, Rows and Cells Lecture 441 Manipulate Excel Data Section 46: Project 42 - Automate Daily Routine Excel Task Lecture 442 Project Overview Lecture 443 Step 1 - Reading Data from Excel Lecture 444 Step 2 - Manipulate data using Data Structures Lecture 445 Step 3 - Write Output to the File Section 47: Excel Automation - Openpyxl Library continued Lecture 446 Create Spreadsheet, Sheets and Update Cells Lecture 447 Manage Rows and Columns Lecture 448 Generate Random Excel Data - Challenge Lecture 449 Excel Formulas Lecture 450 Cell Styles Lecture 451 Conditional Formatting Lecture 452 Charts Lecture 453 Line Charts - Coding Challenge Section 48: Project 43 - Transpose Excel File from Rows to Columns Lecture 454 Project Objective Lecture 455 Steps For Completing the Project Section 49: PDF Automation Lecture 456 Goals: what you will make by the end of this section Lecture 457 Introduction Lecture 458 Extract PDF Metadata and Text Lecture 459 Create, Merge and Copy PDFs Lecture 460 Split, Rotate and Overlay Lecture 461 Decrypt and Encrypt Section 50: Project 44 - Combine Specific Pages (add cover page) to PDF Lecture 462 Project Solution - Todo 1 , 2 and 3 Section 51: Web Scraping with Beautiful Soup Lecture 463 Goals: what you will make by the end of this section Lecture 464 What is Web Scraping? Lecture 465 Basic HTML Skills Lecture 466 Parsing HTML with Beautiful Soup Lecture 467 Find and Select Specific Elements Lecture 468 Steps for Web Scraping a Real Website Lecture 469 Do All Websites Allow Web Scraping? Section 52: Project 45 - Beautiful Soap - Airpods rating on Amazon Lecture 470 Project Objective Lecture 471 Steps for Completing the Project Section 53: Selenium Library - Python BOTs Lecture 472 Goals: what you will make by the end of this section Lecture 473 Why Selenium? Lecture 474 Setup Selenium Lecture 475 How Select Elements in Website Lecture 476 Scrap Data using Selenium Lecture 477 How to Clicking Buttons and Filling Text Fields Lecture 478 Sending Special Keys and Browser Buttons Section 54: Project 46 - Selenium - Follow on Instagram Lecture 479 Project Objective Lecture 480 Steps to Complete the Project Section 55: GUI Automation Lecture 481 Goals: what you will make by the end of this section Lecture 482 What is GUI Automation? Installing PYAUTOGUI Module Lecture 483 Mouse Movement Lecture 484 Mouse Interaction Lecture 485 Mouse Drag - Challenge Lecture 486 Screenshot and Image Recognition Lecture 487 Controlling the Keyboard and Show Messages Section 56: Project 47 - GUI Automation - Looking Busy Lecture 488 Project Objective Lecture 489 Solution Section 57: Project 48 - Form Filler Lecture 490 Project Objective Lecture 491 Steps To Complete the Project Section 58: Working with CSV Data - The Pandas Lecture 492 Goals: what you will make by the end of this section Lecture 493 Reading CSV Lecture 494 Data Types and Basic Statistics Lecture 495 Pandas Data Structures - Series Lecture 496 Accessing Series Elements Lecture 497 Pandas Data Structures - DataFrame Lecture 498 Accessing DataFrame Lecture 499 Query Dataset Lecture 500 Group and Aggregate the Data Lecture 501 Write to CSV Lecture 502 Pandas CSV Challenge Section 59: ----------PART 5 - Graphical User Interface in Python---------- Lecture 503 What you will learn in PART 5 Section 60: Turtle Module Lecture 504 Goals: what you will make by the end of this section Lecture 505 Introduction to Turtle Graphics Lecture 506 Move Turtle Lecture 507 Draw Shape - Challenge 1 Lecture 508 Drawing and Filling Present Shapes Lecture 509 Drawing Polygons Lecture 510 Draw Dashed Shapes Lecture 511 RGB Color - Generate Random Color Lecture 512 Screen and Turtle Properties Lecture 513 Move Random Directions - Challenge 2 Lecture 514 How to Create Games with Turtle Lecture 515 Write Method - Default Values for Function Arguments Section 61: Project 49 - Draw National Flag of Azerbaijan Lecture 516 Project Objective Lecture 517 Steps to Complete the Project Section 62: Project 50 - Draw National Flag of India Lecture 518 Project Objective Lecture 519 Steps to Complete the Project Section 63: Project 51 - Draw National Flag of Your COUNTRY Lecture 520 Project Objective Section 64: Project 52 - Schengen Countries Lecture 521 What you will make Lecture 522 Solution Section 65: Project 53 - Turtle Race Lecture 523 Project Objective Lecture 524 Solution Section 66: Project 54 - Snake Game using OOP Lecture 525 What you will make by the end of section Lecture 526 Steps to Complete the Project Section 67: Tkinter Module Lecture 527 Introduction to Tkinter Lecture 528 Creating and Configuring Widgets Lecture 529 Unlimited Positional and Keyword Arguments (*args and **kwargs) Lecture 530 Widget Placement - Geometry Managers Lecture 531 Important Message Section 68: Project 55 - Feedback Form Lecture 532 Important Message Section 69: Project 56 - Pomodoro App Lecture 533 Important Message Section 70: Project 57 - Text Editor Lecture 534 Important Message Section 71: --------PART 6 - Working with Databases and Webservices-------- Lecture 535 What you will learn in PART 6 Section 72: Using SQLite in Python Lecture 536 What is SQLite? Section 73: Project 58 - SQLite App Lecture 537 Project Objective Section 74: Project 59 - Bookstore Lecture 538 Project Objective Section 75: Using MySQL in Python Lecture 539 What is MySQL? Section 76: Project 60 - MySQL App Lecture 540 Project Objective Section 77: Using PostgreSQL in Python Lecture 541 What is PostgreSQL? Section 78: Project 61 - PostgreSQL Lecture 542 Project Objective Section 79: Web Services - RESTful APIs with Flask Lecture 543 Important Message Section 80: Project 62 - APIs Lecture 544 Project Objective Section 81: ---------------PART 7 - Advanced Python--------------- Lecture 545 What you will learn in PART 7 Section 82: Advanced Python - Lambda , List Comprehension, Generators, Decorators Lecture 546 Important Message Section 83: Multithreading in Python Lecture 547 Important Message Section 84: Data and Meta Classes Lecture 548 Important Message Section 85: Project 63 - Advanced Python Lecture 549 Project Objective Section 86: ------------PART 8 - Data Analyses and Visualization------------ Lecture 550 What you will learn in this PART 8 Section 87: Matplotlib Lecture 551 Important Message Section 88: Seaborn Lecture 552 Important Message Section 89: Project 64 - Titanic Project Lecture 553 Project Objective Section 90: Project 65 - Stack Market Analyses Lecture 554 Project Objective Section 91: ----------------PART 9 - Building Your Portfolio---------------- Lecture 555 What you will learn in this PART 9 Section 92: Project 66 - Portfolio Project (Files and Directories) Section 93: Project 67 - Portfolio Project (Files and Directories) Section 94: Project 68 - Create Amazon Price Tracker (Beautiful Soup) Lecture 556 Project Overview Section 95: Project 69 - Website Blocker Lecture 557 Project Overview Section 96: Project 70 - Create Spotify Playlist (APIs) Lecture 558 Project Overview Section 97: Project 71 - 100 Lecture 559 Important Message Lecture 560 Bonus Lecture If you want to learn Python from scratch through building fun and useful projects, then take this course.,If you want to start your own startup by building your own apps.,If you are an experienced programmer wanting to switch to Python then this is the quickest way through real coding projects.,If you are an intermediate Python programmer this course will help you to level up. 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