Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 16.90 GB | Duration: 40h 36m
Learn And Completely Master Software Eeering And Machine Learning With Python What you'll learn You Will Learn the basics of Python such as variables, strings, Booleans, lists, tuples, dictionaries, generators You will learn and Master Machine Learning With Python You will learn and Master Software Eeering With Python Much More Requirements No prior programming experience needed. You will learn more than everything you need to know. Description Python For Software Eeering And Machine Learning: The Complete MasterClassLearn And Completely Master Every Aspect of Software Eeering And Machine Learning ALL With PythonPython is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. This hands-on course will make you a skilled Python software eeer AND Python Machine Learning Expert with no prior programming experience needed.You will start by learning the basics of Python such as variables, strings, Booleans, lists, tuples, dictionaries, generators, and so on as well as learning to write the first service test. Furthermore, you will learn to send requests in Python and understand how to modify permissions. You will also be able to explore Docker and SQL and learn to set up a local PostgreSQL Server. You will learn all about creating tables using query results also.Moving further in the course, you will learn to integrate databases into your application and create database models in Python. You will be introduced to Redis and learn all about data compression. You will also get to know how to set up a GitHub desktop, and clone a repository as well as GitHub CLI. You will wrap up the course by having a look at threading in Python, multiprocessing pool, and async wait statements.By the end of this course, you will be an expert with developing applications with Python, have a portfolio item, and be ready to apply for software eeer positions and ACE those technical interviews.Course Curriculum And What You’ll LearnIntroduction SectionSetting Up Your Coding EnvironmentIn this Lecture, you will learn all about the installation of PyCharm.Installing PythonThis Lecture explains the installation of Python.Writing Your First ProgramThis Lecture extensively covers how to write your first Python program.VariablesThis Lecture explains variables in Python.StringThis Lecture explains strings in Python.Integers, Floats, and Type CastingThis Lecture explains integers, floats, and typecasting in Python.Booleans and Boolean OperationsThis Lecture explains Booleans and Boolean operations in Python.None TypesThis Lecture explains the ‘none’ datatype in Python.ListsThis Lecture explains lists in Python.TuplesThis Lecture explains tuples in Python.DictionariesThis Lecture explains dictionaries in Python.Formatting Strings and Writing CommentsThis Lecture explains how to write comments and format strings in Python.If Statements In PythonThis Lecture explains If statements.Elif and Else Statements In PythonThis Lecture explains the elif and else statements.For LoopsThis Lecture explains for loops in Python.While Loops In PythonThis Lecture explains while loops.FunctionsThis Lecture explains functions in Python.Function Parameters In PythonThis Lecture explains function parameters.Global Variables In PythonThis Lecture explains global variables.File HandlingThis Lecture explains file handling in Python.Virtual Environments In PythonThis video explains virtual environments In Python.Launching Your First Python ApplicationThis Lecture explains launching your first Python application.Classes In PythonThis Lecture explains classes in Python.Classes Inheritance In PythonThis Lecture explains classes inheritance In Python.DecoratorsThis Lecture explains decorators in Python.GeneratorsIn Lecture, you will learn all about generators in Python.JSON and Text ResponseThis Lecture explains JSON and text response.TypingThis Lecture explains that when we write Python code, we do not define the datatypes, values, and so on.Response ModelsThis Lecture explains response models.Expanded Field InformationThis Lecture explains the concept of expanded field information.Path ParametersThis Lecture explains Path parameters.Request BodiesThis Lecture explains request bodies.Query ParametersThis Lecture explains the query parameters.Put and DeleteThis video explains put and delete request types.DocstringsThis Lecture explains docstrings.Async FunctionsThis Lecture explains async functions.Directory StructureThis Lecture explains the directory structure.API Routers ContinuedThis Lecture explains API routers.Environment VariablesIn this Lecture, you will learn all about environment variables.HTTP Status CodesThis Lecture explains the HTTP status codes.ExceptionsThis Lecture explains exceptions in Python.LoggingThis Lecture explains how to implement logging and its benefits.Logging FormatterThis Lecture explains the concept of logging formatter.Custom Exception HandlersThis Lecture explains custom exception handlers.Headers and DependenciesThis Lecture explains headers and dependencies.Testing SectionPytest IntroductionThis Lecture introduces you to Pytest.Writing Your First Service TestThis Lecture explains how to write your first service test.FixturesThis Lecture explains fixtures in Python.Integration TestsThis Lecture explains integration tests.Testing for ExceptionsThis Lecture explains testing for exceptions.Sending Requests in PythonThis Lecture explains sending requests in Python.Sending Async RequestsThis Lecture explains sending async requests.Testing Synchronous RequestsThis Lecture explains testing synchronous requests.Testing Async RequestsThis Lecture explains testing async requests.Test CoverageThis Lecture explains test coverage.MyPy Round 2This Lecture explains more about MyPy.Introduction to the Teal SectionDigital Ocean SetupThis Lecture explains the setup of Digital Ocean.SSH on WindowsThis Lecture explains SSH on Windows.Connecting with SSHThis Lecture explains connecting with SSH.Basic NavigationThis Lecture covers basic navigation.Creating FoldersThis Lecture covers creating folders.Creating FilesThis Lecture covers creating files.Removing Folders and FilesThis Lecture covers removing folders and files.Moving, Renaming, and Copying Files and FoldersThis Lecture covers moving, renaming, and copying files and folders.Environment VariablesThis Lecture covers environment variables.Piping and RedirectingThis Lecture covers piping and redirecting.Super User and Running Pythons ScriptsThis Lecture covers super user and running Pythons scripts.Executables and Modifying PermissionsThis Lecture covers executables and modifying permissions.Sending RequestsThis Lecture covers sending requestsDocker SectionDocker IntroductionThis Lecture introduces you to Docker.Creating a DockerfileThis Lecture covers creating a Dockerfile.Multistage BuildThis Lecture covers multistage build.Docker ComposeThis Lecture covers Docker Compose.MakefileThis Lecture covers Makefile.SQL SectionIntroduction to Relational DatabasesThis Lecture introduces you to relational databases.Data Types and SchemasThis Lecture thoroughly explains data types and schemas.[Mac] Setting Up a Local PostgreSQL ServerThis Lecture covers setting up a local PostgreSQL server for Mac.[Windows] Setting Up a Local PostgreSQL ServerThis Lecture covers setting up a local PostgreSQL server for Windows.[Mac] SQL Editor PosticoThis Lecture covers SQL Editor Postico for Mac.SQL Editor DataGripThis Lecture covers SQL Editor DataGrip.SQL Editor CLIThis Lecture extensively covers SQL Editor CLI.Creating and Removing a DatabaseThis Lecture extensively covers creating and removing a database.Creating SchemasThis Lecture covers Creating schemas.Creating TablesThis Lecture covers creating tables.Altering TablesThis Lecture covers altering tables.Enumerated TypesThis Lecture covers enumerated types.Inserting ValuesThis Lecture covers inserting values.Running an SQL ScriptThis Lecture explains how to run an SQL script.Reading DataThis Lecture explains reading data.Creating Tables Using Query ResultsThis Lecture explains creating tables using query results.Aliases and OrderingThis Lecture explains aliases and ordering.Conditional Filtering Direct ComparisonsThis Lecture explains conditional filtering direct comparisons.Conditional Filtering Grouped ComparisonsThis Lecture explains conditional filtering grouped comparisons.Joining ConditionalsThis Lecture explains joining conditionals in SQL.Negating ConditionalsThis video explains negating conditionals in SQL.Filtering Null ValuesThis Lecture explains filtering the null values in SQL.Creating New Columns and ArithmeticThis Lecture explains how to create new columns and arithmetic.Datatype ConversionsThis Lecture explains datatype conversions in SQL.Logic StatementsThis Lecture explains logic statements in SQL.Manipulating StringsThis Lecture explains manipulating strings in SQL.String Positional InformationThis Lecture explains string positional information in SQL.String Subsets and ConcatenationsThis Lecture explains string subsets and concatenations.String ReplacementsThis Lecture explains string replacements in SQL.Date and This Lecture explains date and in SQL.Date and IntervalsThis Lecture explains date and intervalsin SQL.CommentsThis Lecture explains the comments in SQL.Aggregation FunctionsThis Lecture explains aggregation functions in SQL.Grouping and Filtering AggregationsThis Lecture explains grouping and filtering aggregations in SQL.Inner JoinThis Lecture explains inner join in SQL.Left, Right, and Outer JoinsThis Lecture explains left, right, and outer joins in SQL.Self JoinsThis Lecture explains self joins in SQL.UnionsThis Lecture explains unions in SQL.SubqueriesThis Lecture explains subqueries in SQL.Common Table Expression (CTEs)This Lecture explains CTEs in SQL.Window Functions and AliasesThis Lecture explains window functions and aliases in SQL.Row Numbers and RanksThis Lecture explains row numbers and ranks.Using Other Rows with Window FunctionsThis Lecture explains using other rows with window functions.NTilesThis Lecture explains NTiles in SQL.Understanding Query PerformanceThis Lecture explains query performance in SQL.Integrating Databases into Your Application SectionAdding Postgres to Your Docker ComposeThis Lecture explains adding Postgres to your Docker Compose.Creating Database Models in PythonThis Lecture explains creating database models in Python.Database MigrationsThis Lecture explains database migrations.SQLAlchemy ORMThis Lecture introduces you to SQLAlchemy ORM.Creating a Database ClientThis Lecture explains how to create a database client.Updating Your Application to Read from the DatabaseThis Lecture explains updating our application to read from the database.Database InsertsThis Lecture explains database inserts.Database UpdatesThis Lecture explains database updates.Database DeletesThis Lecture explains database deletes.Async Database QueriesThis Lecture explains async database queries.Async UpdatesThis Lecture explains async updates.Updating Unit Tests to Work with the DatabaseThis Lecture explains updating unit tests to work with the database.Updating Integration Tests to Work with the DatabaseThis Lecture explains updating integration tests to work with the database.SQLite for TestingThis Lecture explains SQLite for testing.MockingThis Lecture explains mocking.Caching SectionRedis IntroductionThis Lecture introduces you to Redis.Adding Caching to Your ApplicationThis Lecture explains adding caching to your application.Redis Hash IntroductionThis Lecture introduces you to Redis Hash.Redis Sets IntroductionThis Lecture introduces you to Redis Sets.Adding Hash Caching to Pagination EndpointThis Lecture explains adding hash caching to pagination endpoint.Python Object SerializationThis Lecture explains Python object serialization.Cache FlushingThis Lecture explains cache flushing.Data CompressionThis Lecture explains data compression.Linting SectionMyPy ConfigurationsThis Lecture explains the MyPy configurations.Import SortingThis Lecture explains import sorting.Automatic Code FormattingThis Lecture explains automatic code formatting.Additional Code CheckingThis Lecture explains additional code checking.Github SectioHub Credentials SetupThis Lecture explains how to set up GitHub credentials.GitHub Desktop SetupThis Lecture explains how to set up GitHub Desktop.Cloning a RepositoryThis Lecture shows you how to clone a GitHub repository.Pushing a Local Repository to GitHubThis Lecture explains how to push a local repository GitHub.Reverting and Squashing CommitsThis Lecture explains reverting and squashing Commits.GitHub BranchesThis Lecture explains GitHub branches.Pull RequestThis Lecture explains what a Pull request is.Precommit HooksThis Lecture thoroughly explains Precommit hooks.GitHub CLIThis Lecture thoroughly explains GitHub CLI.Tagged ReleaseThis Lecture thoroughly explains tagged release.Reading DocumentationThis Lecture thoroughly explains reading documentation.Concurrent and Parallel Programming SectionThreading, Multiprocessing, and Async IntroductionThis Lecture explains threading, multiprocessing, and async statements.Threading in PythonThis Lecture explains threading in Python.Creating a Threading Class With PythonThis Lecture explains how to create a threading class with Python.Creating a ReaderThis Lecture explains how to create a Reader.Creating a Yahoo Finance ReaderThis Lecture explains creating a Yahoo Finance Reader.Queues and Master SchedulerThis Lecture explains queues and master scheduler.Creating a Postgres WorkerThis Lecture explains how to create Postgres Worker.Integrating the Postgres WorkerThis Lecture explains integrating the Postgres Worker.Yaml File IntroductionThis Lecture introduces you to Yaml file.Creating a Yaml ReaderThis Lecture explains how to create a Yaml Reader.Improving Your Wiki WorkerThis Lecture explains improving your Wiki Worker.Improving All Workers and Adding MonitoringThis Lecture explains improving all workers and adding monitoring.Final Program Clean-UpThis Lecture explains final program clean-up.LockingThis Lecture explains Locking.Multiprocessing IntroductionThis Lecture introduces you to multiprocessing.Multiprocessing QueuesThis Lecture explains multiprocessing queues.Multiprocessing PoolThis Lecture explains multiprocessing pool.Multiprocessing Pool Map Multiple ArgumentsThis Lecture explains multiprocessing pool map multiple arguments.Multiprocessing Multiple Varying ArgumentsThis Lecture explains multiprocessing multiple varying arguments.Multiprocessing Checking Elements in List in Certain RangesThis Lecture explains multiprocessing checking elements in list in certain ranges.Introduction to Writing Asynchronous ProgramsThis Lecture introduces you to writing asynchronous programs.Asynchronous TasksThis Lecture explains asynchronous tasks.Async Gather MethodThis Lecture explains the async Gather method.Using Async outsThis Lecture explains using async outs.Creating Asynchronous For LoopsThis Lecture explains how to create asynchronous ‘for’ loops.Using Asynchronous LibrariesThis Lecture explains using asynchronous libraries.The Async Wait StatementThis Lecture explains the async wait statement.Combining Async and MultiprocessingThis Lecture explains combining async and multiprocessing. Overview Section 1: Introduction Section Lecture 1 Setting Up Your Coding Environment Lecture 2 Installing Python Lecture 3 Writing Your First Program Lecture 4 Variables Lecture 5 Strings Lecture 6 Integers, Floats, and Type Casting Lecture 7 Booleans and Boolean Operations Lecture 8 None Types Lecture 9 Lists Lecture 10 Tuples Lecture 11 Dictionaries Lecture 12 Formatting Strings and Writing Comments Lecture 13 If Statements In Python Lecture 14 Elif and Else Statements In Python Lecture 15 For Loops Lecture 16 While Loops In Python Lecture 17 Functions Lecture 18 Function Parameters In Python Lecture 19 Global Variables In Python Lecture 20 File Handling Lecture 21 Virtual Environments In Python Lecture 22 Launching Your First Python Application Lecture 23 Classes In Python Lecture 24 Classes Inheritance In Python Lecture 25 Decorators Lecture 26 Generators Lecture 27 JSON and Text Response Lecture 28 Typing Lecture 29 Response Models Lecture 30 Expanded Field Information Lecture 31 Path Parameters Lecture 32 Request Bodies Lecture 33 Query Parameters Lecture 34 Put and Delete Lecture 35 Docstrings Lecture 36 Async Functions Lecture 37 Directory Structure Lecture 38 API Routers Continued Lecture 39 Environment Variables Lecture 40 HTTP Status Codes Lecture 41 Exceptions Lecture 42 Logging Lecture 43 Logging Formatter Lecture 44 Custom Exception Handlers Lecture 45 Headers and Dependencies Section 2: Testing Lecture 46 Pytest Introduction Lecture 47 Writing Your First Service Test Lecture 48 Fixtures Lecture 49 Integration Tests Lecture 50 Testing for Exceptions Lecture 51 Sending Requests in Python Lecture 52 Sending Async Requests Lecture 53 Testing Synchronous Requests Lecture 54 Testing Async Requests Lecture 55 Test Coverage Section 3: Introduction to the Teal Section Lecture 56 Digital Ocean Setup Lecture 57 SSH on Windows Lecture 58 Connecting with SSH Lecture 59 Basic Navigation Lecture 60 Creating Folders Lecture 61 Creating Files Lecture 62 Removing Folders and Files Lecture 63 Moving, Renaming, and Copying Files and Folders Lecture 64 Environment Variables Lecture 65 Piping and Redirecting Lecture 66 Super User and Running Pythons Scripts Lecture 67 Executables and Modifying Permissions Lecture 68 Sending Requests Section 4: Docker Section Lecture 69 Docker Introduction Lecture 70 Creating a Dockerfile Lecture 71 Multistage Build Lecture 72 Docker Compose Lecture 73 Makefile Section 5: SQL Lecture 74 Introduction to Relational Databases Lecture 75 Data Types and Schemas Lecture 76[Mac] Setting Up a Local PostgreSQL Server Lecture 77[Windows] Setting Up a Local PostgreSQL Server Lecture 78[Mac] SQL Editor Postico Lecture 79 SQL Editor DataGrip Lecture 80 SQL Editor CLI Lecture 81 Creating and Removing a Database Lecture 82 Creating Schemas Lecture 83 Creating Tables Lecture 84 Altering Tables Lecture 85 Enumerated Types Lecture 86 Inserting Values Lecture 87 Running an SQL Script Lecture 88 Reading Data Lecture 89 Creating Tables Using Query Results Lecture 90 Aliases and Ordering Lecture 91 Conditional Filtering Direct Comparisons Lecture 92 Conditional Filtering Grouped Comparisons Lecture 93 Joining Conditionals Lecture 94 Negating Conditionals Lecture 95 Filtering Null Values Lecture 96 Creating New Columns and Arithmetic Lecture 97 Datatype Conversions Lecture 98 Logic Statements Lecture 99 Manipulating Strings Lecture 100 String Positional Information Lecture 101 String Subsets and Concatenations Lecture 102 String Replacements Lecture 103 Date and Lecture 104 Date and Intervals Lecture 105 Comments Lecture 106 Aggregation Functions Lecture 107 Grouping and Filtering Aggregations Lecture 108 Inner Join Lecture 109 Left, Right, and Outer Joins Lecture 110 Self Joins Lecture 111 Unions Lecture 112 Subqueries Lecture 113 Common Table Expression (CTEs) Lecture 114 Window Functions and Aliases Lecture 115 Row Numbers and Ranks Lecture 116 Using Other Rows with Window Functions Lecture 117 NTiles Lecture 118 Understanding Query Performance Section 6: Integrating Databases into Your App Lecture 119 Adding Postgres to Your Docker Compose Lecture 120 Creating Database Models in Python Lecture 121 Database Migrations Lecture 122 SQL Alchemy ORM Lecture 123 Creating a Database Client Lecture 124 Updating your Application to Read from the Database Lecture 125 Database Inserts Lecture 126 Database Updates Lecture 127 Database Deletes Lecture 128 Async Database Queries Lecture 129 Async Updates Lecture 130 Updating Unit Tests to Work with the Database Lecture 131 Updating Integration Tests to Work with the Database Lecture 132 SQLite for Testing Lecture 133 Mocking Section 7: Caching Lecture 134 Redis Introduction Lecture 135 Adding Caching to Your Application Lecture 136 Redis Hash Introduction Lecture 137 Redis Sets Introduction Lecture 138 Adding Hash Caching to Pagination Endpoint Lecture 139 Python Object Serialization Lecture 140 Cache Flushing Lecture 141 Data Compression Section 8: Linting Section Lecture 142 MyPy Configurations Lecture 143 Import Sorting Lecture 144 Automatic Code Formatting Lecture 145 Additional Code Checking Section 9: Github Section Lecture 146 GitHub Credentials Setup Lecture 147 GitHub Desktop Setup Lecture 148 Cloning a Repository Lecture 149 Pushing a Local Repository to GitHub Lecture 150 Reverting and Squashing Commits Lecture 151 GitHub Branches Lecture 152 Pull Request Lecture 153 Precommit Hooks Lecture 154 GitHub CLI Lecture 155 Tagged Release Lecture 156 Reading Documentation Section 10: Concurrent and Parallel Programming Section Lecture 157 Threading, Multiprocessing, and Async Introduction Lecture 158 Threading in Python Lecture 159 Creating a Threading Class With Python Lecture 160 Creating a Reader Lecture 161 Creating a Yahoo Finance Reader Lecture 162 Queues and Master Scheduler Lecture 163 Creating a Postgres Worker Lecture 164 Integrating the Postgres Worker Lecture 165 Yaml File Introduction Lecture 166 Creating a Yaml Reader Lecture 167 Improving Your Wiki Worker Lecture 168 Improving All Workers and Adding Monitoring Lecture 169 Final Program Clean-Up Lecture 170 Locking Lecture 171 Multiprocessing Introduction Lecture 172 Multiprocessing Queues Lecture 173 Multiprocessing Pool Lecture 174 Multiprocessing Pool Map Multiple Arguments Lecture 175 Multiprocessing Multiple Varying Arguments Lecture 176 Multiprocessing Checking Elements in List in Certain Ranges Lecture 177 Introduction to Writing Asynchronous Programs Lecture 178 Asynchronous Tasks Lecture 179 Async Gather Method Lecture 180 Using Async outs Lecture 181 Creating Asynchronous "For" Loops Lecture 182 Using Asynchronous Libraries Lecture 183 The Async Wait Statement Lecture 184 Combining Async and Multiprocessing Everyone serious about becoming an expert professional Software Eeer With Python and a Machine Learning Expert With Python HomePage: gfxtra__Python_For.part01.rar.html gfxtra__Python_For.part02.rar.html gfxtra__Python_For.part03.rar.html gfxtra__Python_For.part04.rar.html gfxtra__Python_For.part05.rar.html gfxtra__Python_For.part06.rar.html gfxtra__Python_For.part07.rar.html gfxtra__Python_For.part08.rar.html gfxtra__Python_For.part09.rar.html gfxtra__Python_For.part10.rar.html gfxtra__Python_For.part11.rar.html gfxtra__Python_For.part12.rar.html gfxtra__Python_For.part13.rar.html gfxtra__Python_For.part14.rar.html gfxtra__Python_For.part15.rar.html
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.