02.11.2022, 14:55
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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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