Python Masterclass 2023: Build 19 Real World Python Projects

Focused View

Ashutosh Pawar

49:49:38

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01 - Introduction

001 Introduction To The Course.mp4

08:27

02 - Introduction To Python Programming Language

001 Introduction-To-Python-Programming-Langguage.pdf

001 Python A High Level Programming Language.mp4

09:14

002 General Purpose Programming Languages.mp4

06:43

003 Dynamic Typing & Garbage Collection In Python.mp4

04:31

004 How To Use Section Notes For Effective Learning.html

005 Section Notes.html

006 Up Next.html

03 - Installing Python & Pycharm

001 Installing Python On Windows.mp4

02:39

002 Installing PyCharm On Windows.mp4

02:51

003 Installing Python On Mac.mp4

02:23

004 Installing PyCharm On Mac.mp4

02:21

005 Installing Python On Linux.mp4

01:52

006 Installing PyCharm On Linux.mp4

01:40

007 How To Fix Installation Issues.html

04 - Using Python Shell

001 Using Python Shell On Windows.mp4

03:41

002 Using Python Shell On Mac.mp4

04:11

003 Using Python Shell On Linux.mp4

03:02

05 - Basic Python Concepts

001 Basic Arithmetic Operations In Python.mp4

04:43

002 Exponent & Modulus Operators.mp4

09:11

003 Creating Strings & Using Escape Characters.mp4

09:49

004 Accepting User Input.mp4

05:05

005 Concatenation Of Strings.mp4

07:09

006 Data Types In Python.mp4

05:36

007 Variable Declaration & Assignment.mp4

07:59

008 Naming Conventions To Follow While Creating Variables.mp4

05:41

009 Operators In Python.mp4

05:27

010 Logical Operators.mp4

05:25

011 Hello World Program Using PyCharm On Windows.mp4

05:23

012 Hello World Program Using PyCharm On Mac.mp4

05:15

013 Hello World Program Using PyCharm On Linux.mp4

03:57

014 Adding Comments To Your Code.mp4

05:42

015 Accepting Input & Adding Numbers.mp4

06:54

016 Creating Username & Email Using Concatenation.mp4

06:34

017 Comparing User Strings.mp4

03:49

018 Creating A Simple Interest Calculator.mp4

09:22

019 F Strings In Python.mp4

08:42

020 Creating A BMI Calculator.mp4

05:32

021 Source code.html

022 Section Notes.html

06 - Lists, Dictionaries & Sets

001 Lists In Python.mp4

07:55

002 Storing Different Data Types In A List.mp4

04:43

003 Negative Indexing.mp4

04:23

004 List Slicing.mp4

03:16

005 List Slicing Using Negative Indexing.mp4

03:10

006 In & Not In Operators.mp4

03:25

007 List Functions.mp4

11:52

008 Addition & Multiplication Operation On Lists.mp4

03:21

009 Nesting Lists.mp4

05:06

010 Mutability Of Lists.mp4

03:50

011 Tuples.mp4

05:27

012 Dictionaries.mp4

08:43

013 Creating Dictionaries Using dict().mp4

04:59

014 Get Method.mp4

04:21

015 Update & Pop Method.mp4

04:41

016 Items & Keys Method.mp4

03:16

017 Set & Creating Sets.mp4

05:38

018 Empty Set.mp4

04:05

019 Set Operations.mp4

08:00

020 Add & Remove Set Methods.mp4

05:54

021 Searching Items In A List.mp4

04:16

022 Adding & Removing Items.mp4

05:19

023 Adding List Item At A Position.mp4

05:39

024 Adding Products To A Dictionary.mp4

07:52

025 Deleting Items From Dictionary.mp4

02:21

026 Editing Dictionary Values.mp4

03:50

027 Source code.html

028 Coding Challenge 2.html

029 Coding Challenge 2 Solution.html

030 Section Notes.html

07 - Conditionals In Python

001 If Conditional Statement.mp4

07:41

002 Understanding Indentation In Python.mp4

04:17

003 Accept User Input & Check If Condition.mp4

04:47

004 Elif Statement.mp4

07:32

005 Nested If.mp4

06:46

006 Nested If Example.mp4

06:15

007 Range Function.mp4

06:31

008 For Loop.mp4

08:04

009 Looping Through List.mp4

03:16

010 Looping Through A Dictionary.mp4

02:35

011 While Loop.mp4

07:28

012 Break Statement.mp4

03:57

013 Continue Statement.mp4

05:23

014 Adding Items To Cart Using For Loop.mp4

05:42

015 Adding Items Using While Loop.mp4

05:39

016 Creating A List Of Products.mp4

08:46

017 Adding Items To Cart.mp4

07:34

018 Displaying Cart Items.mp4

02:24

019 Incrementing The Quantity.mp4

06:20

020 Calculating Total Cart Value.mp4

03:34

021 Source code.html

022 Section Notes.html

023 Coding Challenge 3.html

024 Coding Challenge 3 Solution.html

08 - Functions In Python

001 Functions.mp4

08:34

002 Passing Arguments To Functions.mp4

08:01

003 Keyword Arguments.mp4

04:26

004 Default Parameters.mp4

05:13

005 Making function return a value.mp4

08:03

006 Calling a function in other function.mp4

02:28

007 Making A Function Return Multiple Values.mp4

05:29

008 Passing List To A Function.mp4

05:43

009 Returning List.mp4

07:08

010 Local & Global Variables.mp4

04:59

011 Accessing Global Variables Inside A Function.mp4

04:01

012 Check If A String Is A Palindrome.mp4

11:01

013 Function To Check Foe Palindrome.mp4

04:47

014 EMI Calculator.mp4

06:04

015 Recursion In Python.mp4

03:28

016 Factorial Using Recursion.mp4

07:55

017 Variable Length Positional Arguments.mp4

05:00

018 Variable Length Keyword Arguments.mp4

05:25

019 Decorators.mp4

06:05

020 Another Way Of Using Decorator.mp4

03:46

021 Decorating Functions Accepting Arguments.mp4

04:52

022 Decorating Functions Returning Values.mp4

04:32

023 Source code.html

024 Coding Challenge 4.html

025 Coding Challenge 4 Solution.html

026 Section Notes.html

09 - Modules In Python

001 Module.mp4

02:02

002 Creating our own module.mp4

06:51

003 Random module.mp4

04:03

004 Datetime module.mp4

07:13

005 Source Code.html

006 Section Notes.html

10 - Errors & Exceptions In Python

001 Introduction to errors & exceptions.mp4

01:31

002 Syntax error.mp4

04:50

003 Logical error.mp4

04:03

004 Runtime error.mp4

07:41

005 Try & except block.mp4

05:52

006 Else block.mp4

03:19

007 Finally block.mp4

02:30

008 Coding Challenge 5.html

009 Coding Challenge 5 Solution.html

010 Source Code.html

011 Section Notes.html

11 - File Handling In Python

001 Introduction To File Handling.mp4

01:16

002 Opening A File.mp4

03:44

003 Reading Data From A File.mp4

04:20

004 Writing & Appending Data To A File.mp4

04:13

005 Opening Files Using With.mp4

03:09

006 Readline & Readlines.mp4

05:01

007 Strip Method.mp4

04:24

008 Saving User Data In A File.mp4

06:14

009 Reading Saved Names.mp4

04:01

010 Saving Complex Data.mp4

07:01

011 Serialization.mp4

05:25

012 Deserialization.mp4

03:56

013 Writing Serialised Data To File.mp4

09:15

014 Preserving Old Data.mp4

05:44

015 Reading User Data.mp4

06:16

016 Editing User Data.mp4

11:37

017 Deleting User Data.mp4

04:45

018 Coding Challenge 6.html

019 Coding Challenge 6 Solution.html

020 Source Code.html

021 Section Notes.html

12 - Lambdas, Map & Filter

001 Lambda Functions In Python.mp4

08:18

002 Map In Python.mp4

06:50

003 Using Map In Different Ways.mp4

07:15

004 Filter In Python.mp4

06:05

005 Generators In Python.mp4

06:45

006 Celsius to Fahrenheit Using Map.mp4

03:20

007 Extracting Initials From Name.mp4

05:16

008 Extracting Initials Using Map.mp4

05:53

009 Reversing a List Using Map.mp4

05:40

010 Source Code.html

011 Section Notes.html

13 - Object Oriented Programming In Python

001 Introduction To Object Oriented Programming In Python.mp4

04:22

002 Creating Class & Objects.mp4

07:09

003 Instance Attributes.mp4

09:06

004 Methods In Object Oriented Programming.mp4

08:33

005 Functional & OOP Based Way Of Writing Code.mp4

07:55

006 Inheritance.mp4

09:29

007 Multiple Inheritance.mp4

05:17

008 Multi-level Inheritance.mp4

03:16

009 Polymorphism.mp4

04:37

010 Method Overriding.mp4

04:24

011 Instance Method.mp4

06:13

012 Class Method.mp4

04:28

013 Static Method.mp4

05:51

014 Nested Classes.mp4

06:53

015 Nesting Class Example.mp4

10:41

016 Constructor Inheritance.mp4

04:02

017 Overriding Superclass Constructor.mp4

02:35

018 Using Super.mp4

04:02

019 Entire OOP Example Part 1.mp4

06:05

020 Entire OOP Example Part 2.mp4

08:29

021 Student Management System Using OOP.mp4

10:01

022 Creating Menu.mp4

04:57

023 Edit Student Data.mp4

06:43

024 Deleting Student Data.mp4

04:04

025 Source Code.html

026 Section Notes.html

14 - Regular Expressions In Python

001 Introduction To Regular Expressions.mp4

06:28

002 Writing Our First Regular Expression.mp4

04:56

003 Match & Search.mp4

02:13

004 Metacharacter In Regular Expression.mp4

03:39

005 Star Metacharacter.mp4

03:26

006 Plus Metacharacter.mp4

01:27

007 Plus Metacharacter Example.mp4

02:17

008 Curly Braces.mp4

01:46

009 Curly Braces Example.mp4

02:02

010 Wildcard.mp4

02:29

011 Wildcard Example.mp4

02:11

012 Optional Metacharacter.mp4

01:23

013 Optional Metacharacter Example.mp4

02:18

014 Caret Metacharacter.mp4

03:07

015 Character Class.mp4

05:38

016 Find All.mp4

03:05

017 Character Class & Find All.mp4

03:03

018 Finding Vowels.mp4

02:00

019 Shorthand For Numeric Characters.mp4

03:10

020 W Shorthand.mp4

03:26

021 S Shorthand.mp4

02:42

022 Combining Shorthands & Metacharacters.mp4

05:32

023 Matching Phone Numbers Part 1.mp4

07:45

024 Matching Phone Numbers Part 2.mp4

03:20

025 Matching Emails.mp4

05:54

026 Checking Validity Of Emails.mp4

02:47

027 Matching Dates.mp4

03:25

028 Source Code.html

029 Section Notes.html

15 - Tkinter

001 Introduction To Tkinter.mp4

04:11

002 Hello World.mp4

09:15

003 Understanding Tkinter Widgets.mp4

03:06

004 Buttons.mp4

04:25

005 Entry.mp4

03:17

006 Adding Two Numbers.mp4

09:28

007 Checkboxes.mp4

05:41

008 Beverage Selector.mp4

11:49

009 Radiobuttons.mp4

08:27

010 Frames.mp4

05:50

011 Adding Properties To Frames.mp4

03:05

012 Grid Layout Manager.mp4

07:12

013 Creating A Grid.mp4

06:33

014 Writing Tkinter Apps Using OOP.mp4

07:54

015 Menu.mp4

05:46

016 Statusbar.mp4

03:26

017 Toolbar.mp4

03:33

018 Messagebox.mp4

03:34

019 Source Code.html

020 Section Notes.html

16 - Project 1 Building Calculator App Using Tkinter

001 Building Calculator App Part 1.mp4

07:17

002 Building Calculator App Part 2.mp4

05:46

003 Building Calculator App Part 3.mp4

08:00

004 Building Calculator App Part 4.mp4

03:51

005 Building Calculator App Part 5.mp4

03:10

006 Building Calculator App Part 6.mp4

06:58

007 Building Calculator App Part 7.mp4

05:18

17 - Project 2 Building Database Apps With PostgreSQL & Python

001 Introduction To Databases.mp4

05:57

002 Introduction To PostgreSQL.mp4

02:35

003 Installing PostgreSQL On Windows.mp4

03:32

004 Installing PostgreSQL On Mac.mp4

04:25

005 Creating A Database.mp4

06:38

006 Creating Table & Adding Data.mp4

05:31

007 Reading Data From Database.mp4

02:49

008 Setting Up Virtualenv on Mac.mp4

08:00

009 Setting Up Virtualenv On Windows.mp4

09:11

010 Installing Psycopg2.mp4

02:27

011 Connecting To Database With Python Code.mp4

05:32

012 Creating Database Tables With Python.mp4

04:45

013 Adding Data To Database Tables With Python.mp4

04:16

014 User Submitted Data To Database.mp4

04:47

015 Creating App Layout.mp4

11:00

016 Adding Entries.mp4

05:13

017 Saving Entries To Database.mp4

07:43

018 Search Functionality.mp4

13:03

019 Listing All Entries.mp4

06:05

18 - Project 3 File Compression & Encoding In Python

001 Compressing Files In Python.mp4

13:24

002 Decompressing Files.mp4

04:49

003 Splitting Code Into Functions.mp4

09:35

004 Designing The GUI.mp4

12:54

005 Compressing Via GUI.mp4

06:13

006 Compressing Files From Local Directories.mp4

06:20

19 - Project 4 Text To Speech Converter Using Python

001 Generating Audio From Text Data.mp4

05:54

002 Converting File Data To Audio.mp4

05:55

003 Converting User Input To Speech.mp4

07:29

20 - Project 5 Implementing Password Hashing & Building A Password Validator

001 Introduction To Password Hashing.mp4

09:52

002 Implementing Password Hashing In Python.mp4

09:40

003 Building A Password Validator.mp4

09:13

21 - Project 6 Building A QR Code Generator With Python

001 QR Code Generator Part 1.mp4

08:54

002 QR Code Generator Part 2.mp4

08:48

22 - Project 7 Building A Video Downloader App

001 Creating The user Interface.mp4

08:32

002 Accepting Path To Download Videos.mp4

03:52

003 Getting Local Path.mp4

03:13

004 Making Download Button Functional.mp4

08:20

005 Testing Our App.mp4

03:44

006 Converting Videos To Mp3.mp4

03:32

23 - Project 8 Credit Card Validation Using Lhuns Algorithm

001 Building A Credit Card Validator Part 1.mp4

08:36

002 Building A Credit Card Validator Part 2.mp4

12:06

003 Building A Credit Card Validator Part 3.mp4

09:48

24 - Data Analysis Using Python

001 Introduction to Data Analysis Using Python.mp4

07:05

002 Installing Tools For Data Analysis.mp4

05:26

003 Converting Dictionaries to Series.mp4

03:31

004 Introduction to Data Frames.mp4

06:28

005 Introduction to Pandas & Series.mp4

08:03

006 Changing Column Sequence.mp4

06:53

007 Reindexing Series & DataFrames.mp4

07:51

008 Changing Columns & Transposing Dataframe.mp4

05:35

009 Deleting Rows & Coulumns.mp4

04:12

010 Arithmetic operations on dataframe and series.mp4

08:43

011 Arithmetic operations in between dataframe and series.mp4

05:42

012 Sorting series and dataframes.mp4

07:23

013 Sorting according to values.mp4

03:11

014 Handling duplicate values.mp4

02:54

015 Calculating sum, max & min values.mp4

03:29

016 Dropping nan values.mp4

05:33

017 Loading data from a file.mp4

04:57

018 Analyzing file data.mp4

07:42

019 Creating Numpy Array.mp4

03:21

020 19 Another way to create an array.mp4

04:11

021 Logspace & Linspace.mp4

04:01

022 Slicing a Numpy Array.mp4

07:01

023 Advanced indexing and slicing techniques.mp4

09:16

024 Broadcasting.mp4

05:26

025 Iterating using nditer.mp4

03:23

026 Plotting data using Matplotlib.mp4

06:26

25 - Project 9 Supermarket Data Analysis Project With Python & Pandas

001 Analysing Supermarket Sales Data Part 1 Reading CSV File.mp4

03:19

001 sales.csv

002 Analysing Supermarket Sales Data Part 2 Switching Up The Theme.mp4

03:39

003 Analysing Supermarket Sales Data Part 3 Accessing Different Parts Of Data.mp4

09:39

004 Analysing Supermarket Sales Data Part 4 Selecting Rows On A Condition.mp4

08:07

005 Analysing Supermarket Sales Data Part 5 Queries To Find Conditional Data.mp4

06:36

006 Analysing Supermarket Sales Data Part 6 Sum, Max, Min & Average.mp4

07:08

007 Analysing Supermarket Sales Data Part 7 Using GroupBy To Group Data By Location.mp4

06:21

008 Analysing Supermarket Sales Data Part 8 Finding Market Share.mp4

11:04

009 Analysing Supermarket Sales Data Part 9 Classifying Shoppers.mp4

06:53

010 Analysing Supermarket Sales Data Part 10 Analysing Memberships & Ratings.mp4

06:13

011 Analysing Supermarket Sales Data Part 11 Answering Multiple Queries.mp4

16:25

012 Analysing Supermarket Sales Data Part 12 Classifying Sales By Day.mp4

08:40

013 Analysing Supermarket Sales Data Part 13 Classifying Sales By Month.mp4

03:46

014 Analysing Supermarket Sales Data Part 14 Classifying Sales By Hour.mp4

04:10

015 Analysing Supermarket Sales Data Part 15 Classifying Payment Types With Hour.mp4

03:46

26 - Django Make Web Apps Using Python & Django

001 Introduction To Django.mp4

06:30

002 Installing Django On Windows.mp4

02:52

003 Installing Django On Mac.mp4

02:12

004 Creating A Django Project On Windows.mp4

07:04

005 Creating A Django Project On Mac.mp4

03:50

006 Running Django Project On Localhost For Windows.mp4

05:30

007 Running Django Apps On Localhost For Mac.mp4

04:32

008 Understanding Significance Of Project Files.mp4

06:45

009 Creating Views.mp4

08:36

010 Creating Another view.mp4

04:12

011 What Is A Database.mp4

06:00

012 Creating Models In Django.mp4

04:11

013 Making Migrations.mp4

03:01

014 Adding Objects To Database.mp4

11:11

015 Creating Superuser.mp4

08:40

016 Passing Objects.mp4

04:09

017 Django Templates.mp4

07:06

018 Passing Context.mp4

06:42

019 DetailView Part 1.mp4

09:18

020 DetailView Part 2.mp4

05:09

021 DetailView Part 3.mp4

06:06

022 Removing Hardcoded URLs.mp4

04:54

023 Adding URLs To App.mp4

05:30

024 Namespacing URLs.mp4

05:29

025 Adding Staticfiles.mp4

09:09

026 Adding Bootstrap.mp4

08:02

027 Using Base Template.mp4

10:38

028 Adding Image Field.mp4

11:08

029 Getting Saved Images.mp4

03:31

030 Adding Own Images.mp4

03:12

031 Adding HTML Form.mp4

08:53

032 Submitting Form Data To Database.mp4

10:04

033 Edit Functionality.mp4

09:56

034 Fixing Errors & Issues.mp4

10:47

035 Update Functionality.mp4

02:41

036 Delete Functionality.mp4

11:08

037 Design Touchup For Index Page.mp4

09:48

038 Design Touchup For Detail Page.mp4

03:45

039 Source Code.html

27 - Project 10 Building A Todo App Using Django 3

001 Going From Idea To App.mp4

09:49

002 Installing Virtualenv.mp4

07:25

003 Setting Up The Project.mp4

03:15

004 Creating Model.mp4

06:22

005 Form View & Template.mp4

06:53

006 Handling Post Request.mp4

05:45

007 Adding Bootstrap.mp4

10:05

008 Read Functionality.mp4

08:29

009 Two Functionalities On Same Page.mp4

04:37

010 Styling Part 1.mp4

09:23

011 Styling Part 2.mp4

02:16

012 Styling Part 3.mp4

06:15

013 Delete Functionality.mp4

09:43

014 Adding Date To Tasks.mp4

09:34

015 Edit Functionality.mp4

12:15

016 Introduction To Class Based & Generic Views.mp4

03:53

017 Class Based Generic View Part 1 ListView.mp4

08:13

018 Class Based Generic View Part 2 DetailView.mp4

06:35

019 Class Based Generic View Part 3 UpdateView.mp4

09:28

020 Class Based Generic View Part 4 DeleteView.mp4

04:04

28 - Make Web Applications Using Python & Flask

001 Introduction To Flask.mp4

07:10

002 Installing Flask.mp4

04:39

003 Hello World.mp4

10:52

004 Routing.mp4

02:11

005 Variables.mp4

05:31

006 Debug Mode.mp4

06:06

007 Redirect & URL For.mp4

10:14

008 Receiving Requests.mp4

05:20

009 Templates.mp4

04:49

010 Passing Dynamic Data To Templates.mp4

04:18

011 Conditionals In Template.mp4

06:42

012 Using Loops In Template.mp4

05:32

013 Rendering Objects.mp4

05:27

014 Adding Bootstrap & Template Inheritance.mp4

08:13

015 Adding Navbar.mp4

10:05

016 Adding CSS.mp4

05:58

017 Adding Forms Part 1.mp4

07:35

018 Adding Forms Part 2.mp4

04:53

019 Configuring Databases.mp4

07:35

020 Creating Models.mp4

07:43

021 Adding Books To Database.mp4

04:59

022 Retrieving Data From Database.mp4

04:20

023 Implementing Edit Functionality Part 1.mp4

07:42

024 Implementing Edit Functionality Part 2.mp4

05:01

025 Implementing Delete Functionality.mp4

04:55

29 - Project 11 Building A Expense Manager With Flask, Python & ChartJs

001 Setting Up Flask Project.mp4

04:09

002 Creating Route To Accept Data.mp4

03:53

003 Creating Form.mp4

06:06

004 Styling The Form.mp4

06:49

005 Getting Values From The Form.mp4

06:33

006 Creating A Database Model.mp4

06:46

007 Adding Expenses To Database.mp4

02:49

008 Displaying Expenses.mp4

06:10

009 Styling Expenses Page.mp4

07:54

010 Adding A Navbar.mp4

03:58

011 Delete Functionality.mp4

06:00

012 Edit Functionality Part 1.mp4

07:00

013 Edit Functionality Part 2.mp4

09:18

014 Calculating Total.mp4

09:56

015 Displaying Total.mp4

07:29

016 Integrating ChartJs.mp4

10:25

017 Add View.mp4

11:41

30 - Project 12 Building A REST API with Python & Django Rest Framework

001 What is an API.mp4

10:39

002 Installing Django Rest Framework.mp4

04:07

003 Creating & Setting Up Django App.mp4

07:47

004 Setting Up API App.mp4

10:42

005 Creating Serializer For Model.mp4

07:53

006 Creating Another Endpoint.mp4

04:50

007 Update & Delete Functionality.mp4

04:38

008 Adding Images To API.mp4

11:18

009 Making The API Consumable.mp4

05:53

010 Setting Up React App.mp4

12:00

011 Fetching Data From API From React Front End.mp4

07:45

31 - Project 13 Learn How To Crawl Websites Using Python Web Crawling

001 Python Web Crawler Part -1.mp4

06:23

002 Python Web Crawler Part -2.mp4

05:39

003 Python Web Crawler Part -3.mp4

04:56

004 Python Web Crawler Part -4.mp4

05:13

005 Python Web Crawler Part -5.mp4

07:25

006 Python Web Crawler Part -6.mp4

03:50

007 Python Web Crawler Part -7.mp4

07:54

008 Python Web Crawler Part -8.mp4

05:18

009 Python Web Crawler Part -9.mp4

04:07

010 Python Web Crawler Part -10.mp4

05:25

011 Python Web Crawler Part -11.mp4

04:22

012 Python Web Crawler Part -12.mp4

04:21

013 Python Web Crawler Part -13.mp4

07:03

014 Python Web Crawler Part -14.mp4

06:27

015 Python Web Crawler Part -15.mp4

05:11

016 Python Web Crawler Part -16.mp4

05:34

017 Python Web Crawler Part -17.mp4

05:52

018 Python Web Crawler Part -18.mp4

06:23

019 Python Web Crawler Part -19.mp4

06:12

020 Web Crawler Source Code.html

32 - Complex Coding Challenges

001 Introduction.html

002 Complex Python Challenges.html

33 - Automation With Selenium Web Driver and Python

001 Introduction to Selenium.mp4

02:00

002 Installing Selenium.mp4

03:46

003 Opening a URL.mp4

03:21

004 Automating Google Search.mp4

07:03

005 Find Elements By XPATH.mp4

04:12

006 Clicking Links.mp4

05:19

007 Refreshing a Webpage.mp4

02:27

008 Using Forward and Backward Navigation Buttons.mp4

03:07

009 Scrolling and Getting the Current URL.mp4

04:46

34 - Project 14 Building A Facebook Auto Poster

001 Building A Facebook Auto Poster.mp4

13:23

35 - Python Best Practices Writing Clean & Efficient Python Code

001 Writing Clean Python Code Best Practices part 1.mp4

05:42

002 Writing Clean Python Code Best Practices part 2.mp4

09:27

003 Writing Clean Python Code Best Practices part 3.mp4

05:47

004 Writing Clean Python Code Best Practices part 4.mp4

07:23

005 Writing Clean Python Code Best Practices part 5.mp4

06:20

36 - Project 15 Building A Chat Application Using Network & Socket Programming

001 IP Address.mp4

14:04

002 Ports & Sockets.mp4

12:30

003 Creating A Client.mp4

14:09

004 Sending Messages.mp4

07:52

005 Using Buffer.mp4

10:22

006 Building The Messaging Functionality.mp4

07:58

007 Sending Messages To Client.mp4

10:01

008 Programming Send Functionality.mp4

09:45

009 Completing Our Chat App.mp4

08:58

37 - Image Processing With OpenCV & Python

001 Introduction To OpenCV.mp4

02:52

002 Installing OpenCV.mp4

02:41

003 Archive.zip

003 Resources.html

004 Reading & Displaying Images.mp4

11:12

005 Capturing Video From Webcam.mp4

07:34

006 Drawing Shapes On Images.mp4

12:38

007 Mouse Callback Events.mp4

09:00

008 Manipulating Pixels.mp4

10:43

009 Color Spaces In OpenCV.mp4

04:59

010 Object Tracking In Images.mp4

14:08

011 Object Tracking In Videos.mp4

05:50

012 Simple Thresholding.mp4

07:05

013 Simple Thresholding Implementation.mp4

06:20

014 Adaptive Thresholding.mp4

04:16

015 Adaptive Thresholding Implementation.mp4

06:14

016 Geometric Transformation Of Images.mp4

08:39

017 Geometric Transformation Of Images Implementation.mp4

11:50

018 Image Blurring.mp4

05:48

019 Image Blurring Implementation.mp4

05:08

020 Averaging.mp4

03:39

021 Gaussian Filtering.mp4

03:41

022 Open CV Updates.html

38 - Miscellaneous Content

001 Updating entries in Django with UpdateView.mp4

08:21

002 Bootstrap For Django Introduction.html

003 Bootstrap part 1 Introduction To Bootstrap.mp4

02:24

004 Bootstrap Part 2 Adding Bootstrap To Our Site.mp4

04:04

005 Bootstrap Part 3 Bootstrap Grid System.mp4

10:27

006 Bootstrap Part 4 Grid Classes Part 1.mp4

06:07

007 Bootstrap Part 5 Grid Classes Part 2.mp4

07:26

008 Bootstrap Part 6 Grid Column Offset.mp4

04:43

009 Bootstrap Part 7 Making Images Responsive.mp4

05:04

010 Bootstrap Part 8 Nesting of Rows & Columns.mp4

08:10

39 - Regular Expressions Revisited

001 Introduction to Regular Expressions & Raw Strings.mp4

06:52

002 Search & Match Methods.mp4

08:27

003 Introduction To Meta Characters.mp4

03:37

004 Star Meta Character.mp4

02:20

005 Introduction To Plus Meta Character.mp4

01:52

006 Plus Meta Character Example.mp4

02:16

007 Introduction To Curly Braces.mp4

01:48

008 Curly Braces Example.mp4

03:23

009 Introduction To Wildcard.mp4

01:36

010 Wildcard Example.mp4

03:33

011 Optional Meta Character.mp4

02:31

012 Caret Meta Character.mp4

03:38

013 Character Classes Part 1.mp4

04:59

014 Character Classes Part 2.mp4

05:00

40 - Conclusion

001 Conclusion.mp4

02:03

Description

Python course for beginners, Learn Python Programming ,Data Analysis, Tkinter, Django, Flask, OpenCV and a lot more.

What You'll Learn?

Learn Python right from the basics, no prior coding knowledge required.
Learn how to build full stack web applications with Python & Django
Build a portfolio of 15 real world projects, qualify for a python developer jobs.
Learn how to automate social media posts using Selenium
Make GUI based Applications in Python using Tkinter
Learn how to process images & videos using OpenCV
Learn how to make your own web-scraping tool using Python
Build database oriented desktop apps with Python, PostgreSQL & Tkinter.
Learn how to build web applications with Python & Flask
Learn how to perform data analysis using Python
Learn object oriented programming in Python
Learn how to perform file compression & decompression using Python
Learn how to analyse supermarket sales data using data analysis
Build a QR code generator using Python
Build a text-to-speech converter
Learn how to hash passwords in Python
Build a budget tracker application with Python & ChartJS
Build a calculator app using Python & Tkinter
Build a video downloader app with Python

Who is this for?

Beginners who want to learn Python.

Beginners who want to learn Django.

Beginners who want to learn Flask.

Web Developers.

Students who wish to learn a new skill to develop their career.

Who want to get a job as a Python developer.

What You Need to Know?

No coding, or technical knowledge required.

A computer with internet connection.

No paid tools are required as the tools required for this course are free.

Passion and curiosity to learn someting new.

More details

Description
Python Masterclass 2023: Build 19 Real World Python Projects
This course is designed for beginners who want to learn Python programming language from scratch.
The course contains two parts:
1. Python Basics (Section 1 to Section 14)
2. Python Projects(Section 15 to Section 44 )
Here Is What You Get By Enrolling In This Course:
Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.
High Quality Content: Over 55+ hours of HD(1080p) Videos.
Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis,Â Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping.
24 X 7 Support: I will always be there to guide you in your journey to become Python expert.
_____________________________________
Here Is Everything You Will LearnÂ In This CompleteÂ Course:
In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.
This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.
We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.

The Complete Course is divided into 17Â Major sections.
Here is a brief description of what you will learn in each section.

Section 1: Python basics.
This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.

Section 2: Make GUI In Python Using Tkinter.
Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.

Section 3: Making Database Oriented Desktop Apps With PostgreSQL.
Making a simple desktop app alone isn't sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.

Section 4: File Compression & Encoding In Python.
In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library.

Section 5: Text To Speech Converter Using Python.
Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech.

Section 6: QR Code Generator.
We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter.

Section 7: Video Downloader App.
In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python.

Section 8: Building A Credit Card Validator Using Lhun's Algorithm.
In this section we will learn what is Lhun's algorithm and how it is used to validate credit cards. We learn how Lhun's algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python.

Section 9: Data Analysis.
Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.
In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib.

Section 10: Python Web Framework Django 3.
This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more.
In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented.

Section 11: Python Web Framework Flask.
Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.

Section 12: REST APIs Using Django Rest Framework.
In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.

Section 13: Web Scraping in Python.
Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python.

Section 14: Automation with Python & Selenium.
Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us.

Section 15: Best Practices: Writing Clean & Efficient Python Code.
To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so.

Section 16: Network Programming In Python Using Sockets: Building A Chat Application.
Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application.Â In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices.

Section 17: Image Processing With Python & OpenCV.
Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering.

_
So let's begin the journey of becoming an expert in Python.
In addition to the Udemy 30-day money back guarantee, youÂ have my personal guarantee that you will love what you learn in thisÂ course. If you ever have any questions please feel free to message meÂ directly and I will do my best to get back to you as soon asÂ possible!
_____________________________________
Make sure to enrol in the course before the price changes.
Take yourself one step closer towards becoming a professional Python developer by clicking the "take this course button" now!
Join the journey.
Sincerely,
Ashutosh Pawar
Who this course is for:
Beginners who want to learn Python.
Beginners who want to learn Django.
Beginners who want to learn Flask.
Web Developers.
Students who wish to learn a new skill to develop their career.
Who want to get a job as a Python developer.

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Ashutosh Pawar

Instructor's Courses

Ashutosh Pawar is the director of Optimum Solutions, a software firm based in Pune India which works in providing software solutions to small and medium enterprises across the globe and have catered to over 200+ clients globally.He holds a bachelor's degree in Information Technology (Computer Science) Engineering and has over 8+ years of developing scalable software infrastructure across multiple domains which include real estate, medicine & finance.Along with being a businessperson, he always had a passion for teaching and his goal is to pass on his knowledge to his students and empower them to achieve their goals in the IT sector.

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