The Most Complete Python Course

Name: The Most Complete Python Course Training Course
Brand: DumpsArena
SKU: The Most Complete Python Course
Availability: InStock
Rating: 5.0 (168 reviews)

2 lectures 8m

1. The Tools You Need
1m
2. Installing Python 3 and an IDE (Windows, Mac, and Linux)
7m

2 lectures 13m

1. Your First Python Code
3m
2. Your First Python Program
10m

9 lectures 24m

1. Variables
3m
2. Simple Types: Integers, Strings, and Floats
3m
3. List Types
2m
4. Type Attributes
3m
5. How to Find Out What Code You Need
5m
6. Bonus: Steps of Learning Python
1m
7. Dictionary Types
4m
8. Tuple Types
2m
9. How to Use Datatypes in the Real World?
1m

7 lectures 18m

1. Python Shell and Terminal Tip
1m
2. More Operations with Lists
6m
3. Accessing List Items
2m
4. Accessing List Slices
3m
5. Accessing Items and Slices with Negative Indexes
2m
6. Accessing Characters and Slices in Strings
2m
7. Accessing Items in Dictionaries
2m

8 lectures 24m

1. Creating Your Own Functions
5m
2. Print or Return?
4m
3. Intro to Conditionals
1m
4. If Conditional Example
4m
5. Conditional Explained Line by Line
3m
6. More on Conditionals
2m
7. Elif Conditionals
1m
8. White Space
4m

3 lectures 17m

1. User Input
8m
2. String Formatting
5m
3. String Formatting with Multiple Variables
4m

4 lectures 24m

1. Builtin Modules
6m
2. Standard Python Modules
9m
3. Third-Party Modules
6m
4. Third-Party Module Example
3m

11 lectures 1h 1m

1. Interactive English Dictionary - How The Output Will Look Like
4m
2. The Data Source
5m
3. Loading JSON Data
4m
4. Returning the Definition of a Word
3m
5. Taking Into Account Bad Words
3m
6. Implementing Case Sensitivity
3m
7. Similarity Ratio Between Two Words
5m
8. Best Matches out of a List of Words
6m
9. Recommending the Best Match
10m
10. Confirmation from the User
10m
11. Optimizing the Final Output
8m

12 lectures 1h 7m

1. Getting Started with Pandas
9m
2. Getting Started with Jupyter Notebooks
9m
3. Loading CSV Files
4m
4. Loading Excel Files
1m
5. Loading TXT Files
3m
6. Set Header Row
3m
7. Set Column Names
1m
8. Set Index Column
5m
9. Indexing and Slicing
6m
10. Deleting Columns and Rows
3m
11. Updating and Adding new Columns and Rows
8m
12. Example: Geocoding Addresses with Pandas and Geopy
15m

4 lectures 24m

1. What is Numpy?
8m
2. Convert Images to Numpy Arrays
6m
3. Indexing, Slicing, and Iterating Numpy Arrays
4m
4. Stacking and Splitting Numpy Arrays
6m

12 lectures 1h 19m

1. Web Map - How The Output Will Look Like
1m
2. The Basemap
12m
3. Adding Points
8m
4. Adding Multiple Points
5m
5. Adding Points from Files
13m
6. Popup Windows on Map
5m
7. Color Points
8m
8. Solution
2m
9. GeoJson Data
6m
10. Adding a GeoJson Polygon Layer
3m
11. Choropleth Map
10m
12. Layer Control Panel
6m

8 lectures 1h 18m

1. Website Blocker - How The Output Will Look Like
4m
2. Application Architecture
4m
3. Setting up the Script
9m
4. Setting up the Infinite Loop
11m
5. Implementing the First Part
12m
6. Implementing the Second Part
19m
7. Scheduling the Python Program on Windows
13m
8. Scheduling the Python Program on Mac and Linux
6m

8 lectures 1h 4m

1. Personal Website - How The Output Will Look Like
2m
2. Your First Website
8m
3. HTML Templates
4m
4. Navigation Menu
9m
5. CSS Styling
6m
6. Creating a Python Virtual Environment
6m
7. Deploying the Website to a Live Server
22m
8. Maintaining the Live Website
7m

3 lectures 22m

1. Introduction to Tkinter
3m
2. Setting up a GUI with Widgets
9m
3. Connecting GUI Widgets with Callback Functions
10m

5 lectures 45m

1. Introduction to "Python with Databases"
3m
2. Connecting and Inserting Data to SQLite via Python
13m
3. Selecting, Inserting, Deleting, and Updating SQLite Records
7m
4. Introduction to PostgreSQL Psycopg2
9m
5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records
13m

7 lectures 1h 30m

1. Desktop Database App - How The Output Will Look Like
2m
2. User Interface Design
6m
3. Frontend Interface
13m
4. Backend
24m
5. Connecting the Frontend to the Backend, Part 1
18m
6. Connecting the Frontend to the Backend, Part 2
22m
7. Creating a Standalone Executable Version of the Program
5m

6 lectures 1h 13m

1. Object Oriented Programming Explained
5m
2. Turning this Application into OOP Style, Part 1
13m
3. Turning this Application into OOP Style, Part 2
14m
4. Creating a Bank Account Object
21m
5. Inheritance
12m
6. OOP Glossary
8m

5 lectures 1h

1. Introduction
2m
2. Loading, Displaying, Resizing, and Writing Images
14m
3. Solution with Explanations
4m
4. Face Detection
20m
5. Capturing Video
20m

3 lectures 53m

1. Webcam Motion Detector - How The Output Will Look Like
2m
2. Detecting Webcam Objects
30m
3. Capturing Motion Time
21m

7 lectures 56m

1. Introduction to Bokeh
2m
2. Your First Bokeh Plot
14m
3. Using Bokeh with Pandas
5m
4. Time-series Plots
7m
5. More Visualization Examples with Bokeh
4m
6. Plotting Time Intervals of the Motion Detector
14m
7. Hover Tool Implementation
10m

3 lectures 23m

1. Section Introduction
2m
2. The Concept Behind Webscraping
5m
3. Webscraping Example
16m

7 lectures 1h 13m

1. Scraped Website Data - How The Output Will Look Like
2m
2. Loading the Webpage in Python
7m
3. Extracting "div" Tags
12m
4. Extracting Addresses and Property Details
15m
5. Extracting Elements without Unique Identifiers
12m
6. Saving the Extracted Data in CSV Files
8m
7. Crawling Through Webpages
17m

11 lectures 1h 40m

1. Web-based Financial Graph - How The Output Will Look Like
2m
2. Downloading Datasets with Python
12m
3. Stock Market Data
3m
4. Stock Market Data Candlestick Charts
6m
5. Candlestick Charts with Bokeh Quadrants
10m
6. Candlestick Charts with Bokeh Rectangles
22m
7. Candlestick Segments
5m
8. Stylizing the Chart
4m
9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage
11m
10. Embedding the Bokeh Chart in a Webpage
16m
11. Deploying the Chart Website to a Live Server
9m

11 lectures 2h 47m

1. Data Collector Web App - How The Output Will Look Like
3m
2. PostGreSQL Database Web App with Flask: Steps
6m
3. Frontend: HTML Part
15m
4. Frontend: CSS Part
10m
5. Backend: Getting User Input
18m
6. Backend: The PostGreSQL Database Model
18m
7. Backend: Storing User Data to the Database
19m
8. Backend: Emailing Database Values Back to the User
11m
9. Backend: Sending Statistics to Users
16m
10. Deploying the Web Application to a Live Server
30m
11. Bonus Lecture: Implementing Download and Upload in your Web App
21m

Curriculum For This Course

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The Most Complete Python Course

Curriculum For This Course

1. Introduction

2. The Basics: Small Program

3. The Basics: Data Types

4. The Basics: Operations with Data Types

5. The Basics: Functions and Conditionals

6. The Basics: Processing User Input

7. Imported Modules

8. Application 1: Build an Interactive English Dictionary

9. Data Analysis with Pandas

10. Numpy

11. Application 2: Create Webmaps with Python and Folium

12. Application 3: Build a Website Blocker

13. Application 4: Build a Personal Website with Python and Flask

14. Graphical User Interfaces with Tkinter

15. Interacting with Databases

16. Application 5: Build a Desktop Database Application

17. Object Oriented Programming

18. Python for Image and Video Processing with OpenCV

19. Application 6: Build a Webcam Motion Detector

20. Interactive Data Visualization with Bokeh

21. Webscraping with Python Beautiful Soup

22. Application 7: Scrape Real Estate Property Data from the Web

23. Application 8: Build a Web-based Financial Graph

24. Application 9: Build a Data Collector Web App with PostGreSQL and Flask