Aug 23 2023 Python - Complete Python, Django, Data Science And Ml Guide BaDshaH LEARNING / e-learning - Tutorials 06:57 0 Published 8/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 27.45 GB | Duration: 50h 27mLearn the most popular Python programming language including Django, Pygame, Jupyter, Data Science and Machine Learning What you'll learnYou will learn the basic principles of Python and learn all the main functions that are used most often in real projects and are in demand the mostYou will practice all the examples that I will show throughout the course using the Python interpreter, Visual Studio Code with Code RunnerYou will master all the necessary packages for Data Science and Machine Learning such as NumPy, Pandas, Matplotlib and Scikit-learn using Jupyter NotebookYou will learn the basic functionality of Python, ranging from variables, lists, dictionaries, to classes, loops, modules, and creating virtual environmentsIn addition, you will learn how to use functional and object-oriented approaches in Python programming.RequirementsThere are no prerequisites, all you need is a desire to learn and practiceIt is advisable to study on a laptop with an external monitor, you can also use a tabletDescriptionPython is the easiest programming language in the world. But at the same time, Python is a powerful tool with which you can solve a huge range of different tasks, from file processing to machine learning , data processing , game creation and web application development .Thus, having learned Python, you can choose a profession from a wide range of vacancies, or you can use Python to create your own applications and solve your own problems.This course includes many practical tasks, as well as tasks for self-fulfillment .Python is an object oriented programming language.Python is also a language with a huge amount of features, but in order to be able to code in Python, you need to UNDERSTAND the key concepts of Python. And that's what I'm going to focus on with you in this course.Before writing code and running examples, you will receive from me explanations and answers to questions WHY and WHY , and only after that HOW to write code.I will not waste your time and therefore I have created the most effective course structure. All the examples that I will explain and run are written by me before the course, but you will write and run the code yourself.All video lectures in this course are over 50 hours long , but expect to spend around 500 hours to master all the topics of the course, including self-completion of all practical tasks.In this course you will learn following key topics:Foundational Python Programming: Learn the fundamental concepts of Python programming, from data types, functions, and variables to control structures like loops and conditional statements.Object-Oriented Programming (OOP): Dive into the principles of OOP, understanding classes, objects, inheritance, encapsulation, and polymorphism, and discover how to leverage them for efficient code organization.File Handling and Modules: Explore file manipulation techniques, from working with directories and files using the os module to using external modules, enabling code reuse, and managing packages with PIP.Web Development with Django: Get an introduction to web development using Django, covering MVC architecture, URL routing, model creation, and interacting with databases to build dynamic web applications.API Development: Learn to create RESTful APIs using Django and handle API requests and responses, including authentication, authorization, and versioning.Game Development with Pygame: Enter the world of game development with Pygame, creating interactive games by working with graphics, animations, and user input.Data Manipulation with NumPy and Pandas: Discover data analysis and manipulation using NumPy and Pandas, covering array operations, dataframes, and handling real-world data sets.Error Handling and Debugging: Understand error handling mechanisms in Python, from handling exceptions to proper debugging techniques, ensuring robust and reliable code.Package Management and Virtual Environments: Master package management using PIP, create virtual environments to isolate projects, and manage dependencies effectively.Visualization and Machine Learning: Explore data visualization with Matplotlib, and dip your toes into machine learning concepts with Scikit-Learn, covering model creation, evaluation, and prediction.Why it's important: This course provides a comprehensive foundation in Python programming, from basic syntax to advanced topics like OOP, web and game development, data manipulation, and more. Understanding these concepts is crucial for building versatile applications, performing data analysis, and even stepping into machine learning, ensuring you're equipped for a wide range of programming tasks and projects.After completing this course, you can safely say that you KNOW Python and CAN use the most popular Python functions. AAs any of my courses this course comes with 30-days money back guarantee. No questions asked!OverviewSection 1: Introduction to PythonLecture 1 Introduction to the Complete Python GuideLecture 2 Where to Write and Run Python CodeLecture 3 Practice - Installing PythonLecture 4 Practice - Using the Python Interactive InterpreterSection 2: Installing and Using PyCharm IDELecture 5 Installing PyCharmLecture 6 Getting Familiar with the PyCharm InterfaceSection 3: Basic Concepts in PythonLecture 7 Key Concept in PythonLecture 8 Main Data Types in PythonLecture 9 Practice - Working with Main Data TypesSection 4: Introduction to Functions and Built-in Functions in PythonLecture 10 Built-in FunctionsLecture 11 Practice - Defining and Using FunctionsLecture 12 Practice - Using the Return Statement in FunctionsLecture 13 Practice - Exploring Built-in FunctionsLecture 14 Practice - Using the built-in dir() FunctionLecture 15 Practice - Gathering User Input with the built-in input() FunctionSection 5: Code Formatting and PEP8Lecture 16 Code IndentationsLecture 17 Practice - Working with IndentationsLecture 18 Following PEP 8 GuidelinesLecture 19 Enabling Auto-Formatting in PyCharmSection 6: CommentsLecture 20 CommentsLecture 21 Practice - Adding Comments to Your CodeSection 7: Expressions and InstructionsLecture 22 Understanding ExpressionsLecture 23 Understanding StatementsLecture 24 Practice - Using ExpressionsLecture 25 Practice - Using StatementsSection 8: VariablesLecture 26 VariablesLecture 27 Practice - Defining and Using VariablesSection 9: Data Types and StructuresLecture 28 Understanding Dynamic TypingLecture 29 Types and Data Structures OverviewLecture 30 Variables and ObjectsLecture 31 Practice - Using the built-in id() FunctionLecture 32 Practice - Exploring Core Data Classes (str, int, bool, list, dict)Lecture 33 Practice - Using the built-in isinstance() FunctionSection 10: StringsLecture 34 StringsLecture 35 Practice - String ManipulationLecture 36 Practice - String MethodsSection 11: String ConcatenationLecture 37 String ConcatenationLecture 38 Practice - Concatenating Strings using the + OperatorLecture 39 Practice - Using f-strings for String FormattingLecture 40 Practice - Alternative String Formatting MethodsSection 12: Numeric TypesLecture 41 IntegersLecture 42 Practice - Integers ManipulationLecture 43 Float NumbersLecture 44 Practice - Floating-Point Numbers ManipulationLecture 45 Working with Complex NumbersSection 13: Boolean TypeLecture 46 Boolean ValuesLecture 47 Practice - Working with Boolean ValuesLecture 48 Type ConversionSection 14: Magic MethodsLecture 49 Magic MethodsLecture 50 Practice - Utilizing Magic Attributes and MethodsSection 15: ListsLecture 51 ListsLecture 52 List MethodsLecture 53 Practice - Working with ListsLecture 54 Copying ListsLecture 55 Practice - Copying ListsLecture 56 TASK - Working with ListsSection 16: DictionariesLecture 57 DictionariesLecture 58 Practice - Manipulating DictionariesLecture 59 Practice - Dictionary MethodsLecture 60 Other Operations with DictionariesLecture 61 Practice - Using the get() Method for DictionariesLecture 62 Practice - Converting Other Types to a DictionaryLecture 63 TASK - Working with DictionariesSection 17: TuplesLecture 64 TuplesLecture 65 Practice - Tuples ManipulationSection 18: SetsLecture 66 SetsLecture 67 Practice - Working with SetsLecture 68 Understanding Set TheoryLecture 69 Set MethodsLecture 70 Practice - Usage of the Set MethodsLecture 71 Practice - Calculating Symmetric Difference of SetsLecture 72 TASK - Working with SetsSection 19: RangesLecture 73 RangesLecture 74 Practice - Range ManipulationLecture 75 Practice - Range Methods and AttributesSection 20: Working with SequencesLecture 76 Built-in Functions for SequencesLecture 77 Built-in zip() FunctionLecture 78 Practice - Working with zip ObjectsLecture 79 Practice - Converting a zip Object to a DictionaryLecture 80 Comparison of Different SequencesSection 21: Modifying Objects in PythonLecture 81 Understanding Immutable Objects in PythonLecture 82 Understanding Mutable Objects in PythonLecture 83 Strategies to Prevent Object MutationLecture 84 Practice - Creating Deep Copies of ObjectsSection 22: FunctionsLecture 85 FunctionsLecture 86 Calling Functions: Arguments vs ParametersLecture 87 Shortest Function in PythonSection 23: Function ArgumentsLecture 88 Mutable and Immutable Arguments in Function CallsLecture 89 Practice - Using Mutable and Immutable Objects as Function ArgumentsLecture 90 Practice - Mandatory and Optional Positional ArgumentsLecture 91 TASK - Functions ManipulationLecture 92 Function ArgumentsSection 24: Args and kwargs in FunctionsLecture 93 Practice - Using *args to Gather Positional Arguments into a TupleLecture 94 Keyword ArgumentsLecture 95 Practice - Working with Keyword ArgumentsLecture 96 Practice - Using **kwargs to Merge Keyword Arguments in a DictionaryLecture 97 TASK - Manipulating Function ArgumentsLecture 98 Args and kwargsLecture 99 Practice - Gathering Positional Arguments into the *args TupleLecture 100 Practice - Gathering All Keyword Arguments into the **kwargs DictionarySection 25: Default Function ParametersLecture 101 Default Function ParametersLecture 102 Practice - Using Default Function ParametersSection 26: DocstringsLecture 103 DocstringsLecture 104 Practice - Writing and Using DocstringsLecture 105 Practice - Exploring DocstringsLecture 106 Practice - Adding Docstrings to FunctionsSection 27: Callback FunctionsLecture 107 Callback FunctionsLecture 108 Rules for Working with FunctionsSection 28: Global and Local VariablesLecture 109 ScopesLecture 110 The Global KeywordLecture 111 Practice - Global and Local VariablesLecture 112 Practice - Using the Global KeywordSection 29: OperatorsLecture 113 OperatorsLecture 114 Unary and Binary OperatorsLecture 115 Practice - Working with Prefix Unary OperatorsLecture 116 TASK - OperatorsSection 30: Falsy and Truthy ValuesLecture 117 Falsy and Truthy ValuesLecture 118 Practice - Falsy and Truthy ValuesSection 31: Logical and Comparison OperatorsLecture 119 Logical OperatorsLecture 120 Practice - Short-Circuit OR OperatorLecture 121 Practice - Short-Circuit AND OperatorLecture 122 Practice - Combining OR and AND OperatorsLecture 123 Practice - Examples with Logical OperatorsLecture 124 Practice - Comparison OperatorsLecture 125 The del StatementSection 32: Lambda FunctionsLecture 126 Lambda FunctionsLecture 127 Practice - Returning Lambda Functions from FunctionsLecture 128 Practice - Sorting a List using Lambda FunctionsLecture 129 Practice - Filtering a List using Lambda FunctionsSection 33: Error HandlingLecture 130 Error HandlingLecture 131 Practice - Using Different Error Classes in the Try and ExceptLecture 132 Practice - Using Multiple Error Classes in one Except Block and Parent ExceptionLecture 133 Practice - Using Else and Finally BlocksLecture 134 Example - Handling File Not Found ErrorsLecture 135 Example - Handling Undefined Variable ErrorsLecture 136 Practice - Raising Custom ErrorsLecture 137 Practice - Handling Raised Errors using Try and ExceptLecture 138 Practice - Specifying Types for Function ParametersLecture 139 TASK - Proper Error HandlingSection 34: Sequence UnpackingLecture 140 Sequence UnpackingLecture 141 Practice - Unpacking TuplesLecture 142 Practice - Unpacking a List of TuplesLecture 143 Practice - Unpacking Remaining ElementsLecture 144 Practice - Unpacking Selected ElementsLecture 145 Practice - Unpacking a List into Positional ArgumentsLecture 146 Practice - Unpacking a Dictionary into Keyword ArgumentsLecture 147 Practice - Flexibility in Function CallsSection 35: Unpacking DictionariesLecture 148 Dictionary Unpacking Operator **Lecture 149 Practice - Using the Dictionary Unpacking OperatorLecture 150 Practice - Merging Two DictionariesSection 36: Conditional StatementsLecture 151 Conditional StatementsLecture 152 Practice - Working with Multiple if StatementsLecture 153 The if-else StatementLecture 154 The if-elif StatementLecture 155 Practice - Combining if, elif, and else StatementsLecture 156 Practice - Considering the Order of Conditions in if StatementsLecture 157 Practice - Incorporating if Statements into FunctionsLecture 158 Practice - Using if and return Statements within FunctionsLecture 159 Example - Calculating School Grades using if and return in the FunctionLecture 160 TASK - Conditional StatementsSection 37: Ternary OperatorLecture 161 Ternary OperatorLecture 162 Practice - Utilizing the Ternary OperatorLecture 163 Example - Calculating Discounts with the Ternary OperatorLecture 164 Example - Data Manipulation using the Ternary OperatorLecture 165 Example - Calculating School Grades using the Ternary OperatorSection 38: For-In LoopLecture 166 LoopsLecture 167 For-In LoopLecture 168 Practice - Iterating through Lists and Tuples using For-In LoopsLecture 169 Practice - Iterating through Dictionaries using For-In LoopsLecture 170 Practice - Iterating through Ranges, Strings, and Sets with For-In LoopsLecture 171 TASKS - Working with For-In LoopsSection 39: While LoopLecture 172 While LoopLecture 173 Practice - Utilizing the While LoopLecture 174 Example - Making Selections with the While LoopLecture 175 Practice - Using break Statements in While and For-In LoopsLecture 176 Practice - Using continue and break Statements in While LoopsLecture 177 TASK - While LoopSection 40: For-In Expression (Comprehensions)Lecture 178 For-In ExpressionLecture 179 List, Set, and Dictionary ComprehensionsLecture 180 Practice - Using List ComprehensionLecture 181 Practice - Using Dictionary ComprehensionLecture 182 Practice - Utilizing Tuple ComprehensionLecture 183 Practice - Converting Tuples to ListsLecture 184 Example - Constructing Dictionaries from SequencesLecture 185 Practice - Short For-In Loops with Conditional StatementsLecture 186 Example - Converting Dictionary to Another DictionaryLecture 187 TASKS - Short For-In LoopsLecture 188 Example - Chaining For-In ExpressionsSection 41: GeneratorsLecture 189 Generators in For-In ExpressionsLecture 190 Practice - Generators and Iteration over the GeneratorSection 42: Decorator FunctionsLecture 191 Introduction to Decorator FunctionsLecture 192 Example - Verifying User Permissions with Decorator FunctionsLecture 193 Example - Logging using Decorator FunctionsLecture 194 Example - Validating Arguments with Decorator FunctionsSection 43: Objects and ClassesLecture 195 Classes and ObjectsLecture 196 Practice - Understanding Classes and Class InstancesLecture 197 Practice - Adding Instance Attributes through Dot NotationLecture 198 Adding Instance Attributes using the __init__ MethodLecture 199 Practice - Incorporating Own Instance Attributes with the __init__ MethodSection 44: Instance and Class MethodsLecture 200 Instance vs Class MethodsLecture 201 Practice - Inheriting Methods by the InstancesLecture 202 Static Class MethodsLecture 203 Practice - Utilizing Static Methods in ClassesLecture 204 Class AttributesLecture 205 Practice - Working with Class AttributesSection 45: Magic Methods in ClassesLecture 206 Magic Methods in ClassesLecture 207 Practice - Utilizing Magic Methods in ClassesSection 46: Classes ExtensionLecture 208 Inheritance from Other ClassesLecture 209 Practice - Extending ClassesSection 47: Classes on PracticeLecture 210 Example - Creating Forum, User, and Post ClassesLecture 211 Example - Creating Instances of the Forum, User, and Post ClassesLecture 212 Example - Methods for Finding Users by Username and EmailLecture 213 Example - Method for Finding All Posts by a Specific UserLecture 214 Example - Retrieving User Posts by EmailLecture 215 Example - Adding Parameter TypesLecture 216 Example - Wrapping up the Forum, Users, and Posts ExampleSection 48: Key Principles in Object-Oriented ProgrammingLecture 217 Encapsulation in Object-Oriented Programming (OOP)Lecture 218 Inheritance in Object-Oriented Programming (OOP)Lecture 219 Polymorphism in Object-Oriented Programming (OOP)Lecture 220 Abstraction in Object-Oriented Programming (OOP)Section 49: ModulesLecture 221 ModulesLecture 222 Practice - Importing Entire Custom ModulesLecture 223 Practice - Selective Imports from Other ModulesLecture 224 Practice - Importing between Different ModulesLecture 225 Practice - Modules in SubfoldersSection 50: Built-in ModulesLecture 226 Built-in ModulesLecture 227 Practice - Importing from Built-in ModulesSection 51: What is __name__ and __main__Lecture 228 Practice - __name__ and __main__Lecture 229 Example - Executing Functions only when Module is run DirectlyLecture 230 Practice - Packages in PythonSection 52: jаvascript Object Notation (JSON)Lecture 231 jаvascript Object Notation (JSON)Lecture 232 Practice - Converting Python Objects to JSONLecture 233 Practice - Converting from JSON to Python ObjectsLecture 234 Practice - Formatting Dictionaries using JSONLecture 235 TASKS - JSONSection 53: Working with FilesLecture 236 Working with FilesLecture 237 Working with Files and Directories using the os ModuleLecture 238 Removing Files and Directories using the os ModuleLecture 239 Summary of Directory and File Operations using the os ModuleLecture 240 Working with Files and Directories using the Path ClassLecture 241 Iterating over Directories and Removing Files using the Path ClassLecture 242 Reading and Writing FilesLecture 243 Writing and Reading Files using the built-in open FunctionLecture 244 Using the with StatementLecture 245 Removing Files using unlinkLecture 246 TASK - FilesSection 54: Working with Zip ArchivesLecture 247 Built-in zipfile Module and Creating Zip ArchivesLecture 248 Reading from the Zip ArchiveSection 55: Working with CSV FilesLecture 249 Working with CSV FilesLecture 250 Iterating over Each Row in the CSV FileSection 56: Working with Dates and TimesLecture 251 Built-in datetime ModuleLecture 252 Examples - Using the datetime ClassLecture 253 Examples - Converting Strings to Datetime ObjectsLecture 254 Example - Working with the timedelta ClassLecture 255 Built-in time ModuleSection 57: Generating Random Sequences and PasswordsLecture 256 Built-in random ModuleLecture 257 Examples - Utilizing choices and shuffle Methods from the random ModuleLecture 258 Built-in secrets ModuleLecture 259 Examples - Generating CSRF Tokens, URL-Safe Tokens, and OTP PasswordsLecture 260 Example - Generating Strong PasswordsSection 58: Math Module and Recursive FunctionsLecture 261 Built-in math ModuleLecture 262 Recursive FunctionsSection 59: Regular ExpressionsLecture 263 Built-in re Module for Regular ExpressionsLecture 264 Example - Creating Patterns for MatchingLecture 265 Example - Email Validation using Regular ExpressionsLecture 266 Example - Substring Replacement using Regular ExpressionsLecture 267 Example - Removing Excessive Spaces using Regular ExpressionsLecture 268 TASK - Password VerificationSection 60: Sending EmailsLecture 269 Running smtp4dev SMTP server in a Docker ContainerLecture 270 Sending an Email using SMTPLecture 271 Formatting an Email using an HTML TemplateLecture 272 SMTP Wrap-Up and Removing the Docker smtp4dev ContainerSection 61: Working with SQLite DatabaseLecture 273 Creating an SQLite3 Database and TableLecture 274 Writing Data into the SQLite TableLecture 275 Reading Data from the SQLite TableLecture 276 SQLite SummarySection 62: Other Built-in ModulesLecture 277 Built-in array ModuleLecture 278 Saving Arrays to Files and Reading Arrays from FilesLecture 279 Accessing Program Arguments using the built-in sys ModuleLecture 280 Built-in webbrowser ModuleSection 63: Virtual EnvironmentsLecture 281 Introduction to PIP - Package Manager for PythonLecture 282 Using a Globally Installed requests PackageLecture 283 Uninstalling Globally Installed Packages using PIPLecture 284 Creating a Python Virtual EnvironmentLecture 285 Activation and Deactivation of the Virtual Environment in the ShellLecture 286 Installing Packages within the Virtual EnvironmentLecture 287 Saving a List of Installed Packages in a Requirements Text FileLecture 288 Challenges of Package Management using Requirements FilesSection 64: Pipenv for Virtual Environments ManagementLecture 289 Installing pipenv for Virtual Environments ManagementLecture 290 Creating a Virtual Environment using pipenvLecture 291 Installing Packages using pipenvLecture 292 Updating Packages using pipenvLecture 293 Recreating Virtual Environment in the Project Folder using pipenvLecture 294 Using venv for Virtual Environments in PyCharmLecture 295 Using pipenv for Virtual Environments in PyCharmSection 65: Introduction to the Django Web FrameworkLecture 296 Introduction to the Django Web Framework and Project OverviewLecture 297 Model View Controller (MVC) Programming PatternLecture 298 Understanding How MVC Pattern is Implemented in DjangoLecture 299 Creating a New PyCharm Project and Installing DjangoSection 66: Creating a Django ProjectLecture 300 Creating a New Django ProjectLecture 301 Overview of the manage.py File in DjangoLecture 302 Starting and Verifying the Django ServerLecture 303 Overview of Settings in the Django ProjectLecture 304 Overview of Default Routing Configuration in DjangoSection 67: Creating a Django ApplicationLecture 305 Creating the Shop Application in DjangoLecture 306 Explaining the Naming of the Django Project as "base"Lecture 307 Exploring the Contents of the Shop ApplicationLecture 308 Creating a View FunctionLecture 309 Attaching the View Function to a URLLecture 310 Adding Shop Application Routes to the Global Project Routing ConfigurationSection 68: Database and Migrations in DjangoLecture 311 Applying Default Migrations in the Django ProjectLecture 312 Creating an Admin User in the Django ProjectLecture 313 Creating Course and Category ModelsLecture 314 Enabling the Shop Application in the Django ProjectLecture 315 Creating and Applying Migrations for the Shop ApplicationLecture 316 Modifying Database ModelsLecture 317 Creating a Category using the Category Model in the ShellLecture 318 Creating Courses using the Course Model in the ShellLecture 319 Creating Categories and Courses in the Admin InterfaceLecture 320 Modifying How Courses and Categories are Displayed in the Admin PanelLecture 321 Sending Course Titles to the Client in the ResponseSection 69: Creating Templates in DjangoLecture 322 Creating an HTML TemplateLecture 323 Using an HTML Template in the View FunctionLecture 324 Populating the HTML Template with Data from the DatabaseLecture 325 How we Connected Templates, Views, and ModelsLecture 326 Adding the Bootstrap CSS Library to the HTML TemplateSection 70: Extending Other Templates in DjangoLecture 327 Creating a Base HTML Template for Reuse in Other TemplatesLecture 328 Adding a Navigation Bar in the Base TemplateLecture 329 TASK - Making the Title of the Web Page DynamicLecture 330 SOLUTION - Making the Title of the Web Page DynamicSection 71: Creating Multiple Routes and View FunctionsLecture 331 Creating a Route for the Single Course Web PageLecture 332 Creating a View Function for the Single CourseLecture 333 TASK - Creating an HTML Template for the Single CourseLecture 334 SOLUTION - Creating an HTML Template for the Single CourseLecture 335 Responding with a 404 When Course is Not Found in the DatabaseSection 72: Routing Between Pages in DjangoLecture 336 Setting Up Routing Between Pages Using Relative or Absolute PathsLecture 337 Setting Up Routing Based on the Names of the URL PatternsLecture 338 Considering Application Names in the Routing SetupLecture 339 Adding a Link to the All Courses PageLecture 340 Moving the Templates Folder Out of the Shop Application FolderLecture 341 Modifying the Model for the CoursesLecture 342 Summary of the Django Shop ApplicationLecture 343 Installing django-tastypie for the API Django ApplicationSection 73: Creating an API Django ApplicationLecture 344 Creating an API Django ApplicationLecture 345 Creating Models for the API ApplicationLecture 346 Configuring Routing for the API ApplicationLecture 347 Verifying the API ServiceLecture 348 Adding Version for the APILecture 349 Installing Postman and Sending GET and DELETE RequestsSection 74: Managing Authentication for API RequestsLecture 350 Creating an API Key for the UserLecture 351 Enabling Authentication and Authorization for the Model and Using DELETE MethodLecture 352 Disabling Authentication Only for GET RequestsLecture 353 Creating a New Resource Using POST MethodLecture 354 Properly Connecting the Course to the Category in POST Requests Using Hydrate MeLecture 355 Adding Dehydrate Method to Modify Data Before Sending to ClientLecture 356 Summary for Setting Up GET, POST, and DELETE RequestsSection 75: Django Project Refactoring and Admin SettingsLecture 357 Refactoring Routing for the API ApplicationLecture 358 Setting Up Index Route and Adding Navigation to NavbarLecture 359 Modifying Administrative PanelLecture 360 Summary of Django Courses ProjectSection 76: Creating Games with PygameLecture 361 Introduction to Pygame and Creating the Game WindowLecture 362 Modifying Background Color of the Game SurfaceLecture 363 Displaying a Rectangle in the GameLecture 364 TASK - Placing Rectangle in the Middle of the Game WindowLecture 365 SOLUTION - Placing Rectangle in the Middle of the Game WindowLecture 366 Moving Rectangle Using Keyboard ArrowsLecture 367 Stopping Rectangle from Moving Outside of the SurfaceSection 77: Creating a Shooter Game with PygameLecture 368 Final Shooter Game OverviewLecture 369 Loading Images for the Game and FighterLecture 370 Displaying Fighter on the SurfaceLecture 371 Moving Fighter Left or RightLecture 372 Making Fighter Movement ContinuousLecture 373 Adding the Ball to the GameLecture 374 Showing Ball Based on Fighter PositionLecture 375 Moving the Ball After FiringLecture 376 Adding the Alien to the GameLecture 377 Moving the Alien Down the SurfaceSection 78: Interaction of the Elements in the PygameLecture 378 Detecting Collision Between Alien and Fighter, Ending the GameLecture 379 Hitting the Alien with the BallLecture 380 Increasing Alien Speed After Each HitLecture 381 Adding Hit CounterLecture 382 Shooter Game SummarySection 79: Game Refactoring using Classes and OOPLecture 383 Start of Shooter Refactoring and Creating the Fighter ClassLecture 384 Adding Methods in the Fighter ClassLecture 385 Creating an Alien ClassLecture 386 Adding Methods in the Alien ClassLecture 387 Creating a Ball ClassLecture 388 Adding Methods in the Ball ClassLecture 389 Creating a Game ClassLecture 390 Adding Methods in the Game ClassLecture 391 Adding Methods for Drawing Elements and Finalizing RefactoringLecture 392 Game Refactoring SummaryLecture 393 Running the Game After RefactoringSection 80: Jupyter NotebookLecture 394 Installing Jupyter NotebookLecture 395 Editing in Jupyter NotebookLecture 396 Order of Execution of Cells in Jupyter NotebookLecture 397 Adding Markdown, Saving, and Loading Jupyter NotebooksSection 81: Jupyter LabLecture 398 Installing Jupyter Lab and Editing NotebooksLecture 399 Exploring Features of Jupyter LabLecture 400 Installing External Packages in Jupyter NotebookSection 82: NumPy - Creating ArraysLecture 401 Introduction to NumPy and Creating One-Dimensional ArraysLecture 402 Two-Dimensional Arrays in NumPyLecture 403 Understanding Axes in NumPyLecture 404 Arithmetic Operations with NumPy ArraysLecture 405 Concatenating NumPy ArraysLecture 406 Summary of Basic Operations with NumPy ArraysSection 83: NumPy - Random ValuesLecture 407 Filling a NumPy Array with Zeroes, Ones, or Random FloatsLecture 408 Generating Random Elements Using randint and uniformLecture 409 Understanding Seed NumberLecture 410 NumPy arange, reshape, and flatten MethodsSection 84: NumPy - ExamplesLecture 411 NumPy Examples 1 and 2 (One-Dimensional Array)Lecture 412 NumPy Examples 3 and 4 (One-Dimensional Array)Lecture 413 NumPy Example 5 (Two-Dimensional Array)Lecture 414 NumPy Example 6 (Two-Dimensional Array)Lecture 415 NumPy Example 7 (Three-Dimensional Array)Lecture 416 NumPy SummarySection 85: Pandas - Working with DataFrames and SeriesLecture 417 Introduction to Pandas and InstallationLecture 418 Creating a DataFrame from a DictionaryLecture 419 Basic Operations with DataFrameLecture 420 Describing the DataFrameLecture 421 Finding Null Values in the DataFrameLecture 422 Finding Columns with Specific Data TypeLecture 423 Series Data Structure in PandasLecture 424 Selecting Part of the DataFrame Using loc and iloc PropertiesLecture 425 Filtering Data in the DataFrameLecture 426 Datetime Type in PandasLecture 427 Sorting Data in the DataFrameLecture 428 Adding and Removing Columns and Concatenating DataFramesLecture 429 Summary of Pandas DataFrames and SeriesSection 86: Pandas - Random Data and Working with CSVLecture 430 Generating Random Data for DataFramesLecture 431 Creating a DataFrame Using Random DataLecture 432 Saving DataFrames to CSV FilesLecture 433 Creating DataFrames from CSV FilesLecture 434 Writing DataFrames to Excel and JSON FilesSection 87: Pandas - Analysing CSV-Loaded DataFramesLecture 435 Analyzing CSV-Loaded DataFramesLecture 436 Grouping Data in DataFramesLecture 437 Displaying Series Data on Plots Using MatplotlibLecture 438 Summary of Example with Random CSV DataSection 88: Matplotlib - Creating ChartsLecture 439 Examples of Plot and Scatter Diagrams Using MatplotlibLecture 440 Examples of Matplotlib SubplotsLecture 441 Using DataFrames for Creating DiagramsLecture 442 Boxplots, Area Plots, and Pie ChartsLecture 443 Example of a Heatmap in MatplotlibLecture 444 Displaying Real-World Data on Various ChartsSection 89: Scikit-learn - Machine LearningLecture 445 Introduction to Scikit-Learn and InstallationLecture 446 Loading and Analyzing Sample Data for Model CreationLecture 447 Handling Null Values in DataFrameLecture 448 Attempting to Create a Model for Predicting Target ValuesLecture 449 Encoding Non-Numeric Values in Input DataLecture 450 Building and Predicting with Cleaned and Encoded DataLecture 451 Summary of Model for Predicting Favorite TransportLecture 452 Visualizing DecisionTreeClassifier ModelLecture 453 Creating Charts for Data from the Built ModelLecture 454 Evaluating Model AccuracySection 90: Machine Learning Model for Real DataLecture 455 Loading CSV File with Airline Passenger Satisfaction DataLecture 456 Analyzing DataFrame with Passenger Satisfaction DataLecture 457 Filling Null Values with Mean ValueLecture 458 Creating Diagrams for Passenger Data AnalysisLecture 459 Manually Encoding Non-Numeric Values in DataFrameLecture 460 Encoding Non-Numeric Values Using LabelEncoderLecture 461 Creating Additional Diagrams After Data Cleaning and EncodingLecture 462 Filtering DataFrame with Passenger DataLecture 463 Using DecisionTreeClassifier for Model CreationLecture 464 Measuring Model Accuracy with DecisionTreeClassifierLecture 465 Using Other Classifiers for Model CreationLecture 466 Summary of Airline Passenger Satisfaction ProjectSection 91: Making Machine Learning Model More RealLecture 467 Removing Passenger Votes from DataFrameLecture 468 Saving Trained Model for Future UseLecture 469 Summary of Realistic Model for Passenger Satisfaction PredictionBeginning Python programmers who want to learn how to program,Those who are planning to work in the direction of Data Science and Machine Learning,Web developers who want to build web applications with Python,Those who want to perform tasks related to machine learning, data processing,Game developers who want to create games with Python PygameHomepagehttps://www.udemy.com/course/python-complete-guide/Download From 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