Learn the Advanced Professional Python Programming
Learn the Advanced Professional Python Programming, available at $54.99, has an average rating of 4.7, with 94 lectures, based on 268 reviews, and has 1158 subscribers.
You will learn about Advance Level Concepts in Python Real Time Advance Level Applications in Python Intuition behind each Advance Level Concepts This course is ideal for individuals who are Anyone who want to learn Advance Level Concepts or Anyone looking to make real time advance level Applications or Anyone looking for a Professional Job in Python It is particularly useful for Anyone who want to learn Advance Level Concepts or Anyone looking to make real time advance level Applications or Anyone looking for a Professional Job in Python.
Enroll now: Learn the Advanced Professional Python Programming
Summary
Title: Learn the Advanced Professional Python Programming
Price: $54.99
Average Rating: 4.7
Number of Lectures: 94
Number of Published Lectures: 94
Number of Curriculum Items: 94
Number of Published Curriculum Objects: 94
Original Price: $99.99
Quality Status: approved
Status: Live
What You Will Learn
- Advance Level Concepts in Python
- Real Time Advance Level Applications in Python
- Intuition behind each Advance Level Concepts
Who Should Attend
- Anyone who want to learn Advance Level Concepts
- Anyone looking to make real time advance level Applications
- Anyone looking for a Professional Job in Python
Target Audiences
- Anyone who want to learn Advance Level Concepts
- Anyone looking to make real time advance level Applications
- Anyone looking for a Professional Job in Python
In this course, our main focus will be on learning the advance level stuff in Python Programming Language. My main focus is that you not only learn these advance level concepts but you can use them to make advance level applications in Python. I will assume that you know the basics of Python Programming Language and you are here to learn only the Advance Level Programming in Python. As grabbing the main concept behind Advance Topics is not simple therefor, special attention is given to the intuition part of each concept where we gonna understand these concepts with proper animated slides. The implementation is done by real time examples so that you can best use the concept.
Also not only understanding these advance concepts are important but to make something real out of it is very important or else there is no reason to learn Advance Programming therefor we will also make real time Advance level Applications in Python using Advance level concepts that we have covered in this course. We have made couple of GUI Based Advanced Level Applications in Python.
I believe that after taking this course, you gonna feel much more satisfied and comfortable with your programming in Python as you will then be a professional programmer who is capable to give any job interviewand hopefully you can then use Python to do anything that you can expect ..
I wish you very best for the Course
Course Curriculum
Chapter 1: Setting up Python and Integrated Development Environment
Lecture 1: Setting up Python and Integrated Development Environment
Chapter 2: Advanced Date Time Management in Python
Lecture 1: Date Time – I
Lecture 2: Date Time – II
Lecture 3: Date Time – III
Lecture 4: Date Time – IV
Lecture 5: Date Time – V
Lecture 6: Date Time Bonus Tutorial
Chapter 3: Functional Programming in Python
Lecture 1: Functional Programming – I
Lecture 2: Functional Programming – II
Lecture 3: Functional Programming – III
Lecture 4: Functional Programming – IV
Chapter 4: GUI Based Translator Application
Lecture 1: Translator – 1
Lecture 2: Translator – 2
Lecture 3: Translator – 3
Lecture 4: Translator – 4
Lecture 5: Translator – 5
Chapter 5: Introduction to Django – Web Development in Python
Lecture 1: Section Overview
Lecture 2: Introduction to Django
Lecture 3: Features of Django
Lecture 4: Model View Controller
Lecture 5: Model View Template
Chapter 6: Project Files in Django
Lecture 1: Section Overview
Lecture 2: Create our First Django Project
Lecture 3: Manage.py (Project Files)
Lecture 4: Settings.py (Project Files)
Lecture 5: wsgi, url, init.py (Project Files)
Lecture 6: Asgi.py (Project Files)
Chapter 7: Apps Inside a Project
Lecture 1: Section Overview
Lecture 2: Creating our first Django Project
Lecture 3: Explaining Project Files
Lecture 4: Running the Server
Lecture 5: Create our First Django Application
Chapter 8: Django Template Language
Lecture 1: Section Overview
Lecture 2: Django Template Language
Lecture 3: The Jinja Format
Lecture 4: GET vs POST
Chapter 9: Creating and Making our Content from Static to Dynamic
Lecture 1: Section Overview
Lecture 2: Downloading Travello Colorlib
Lecture 3: Running the HTML file only
Lecture 4: Dealing with the static folders only
Lecture 5: Sending Dynamic Entries
Lecture 6: Making Images Dynamic
Lecture 7: If Condition in Django
Chapter 10: Intro and Configuration of Databases
Lecture 1: Section Overview
Lecture 2: Object Relational Mapper
Lecture 3: Installing the Setups
Lecture 4: Configuring our Database
Chapter 11: Sending and Fetching data from Database
Lecture 1: Section Overview
Lecture 2: Creating Models and Migrations
Lecture 3: Re – Migrations
Lecture 4: Django Admin Panel
Lecture 5: Working with Media Files
Lecture 6: Displaying the Data on Browser
Chapter 12: Registering User on Database
Lecture 1: Section Overview
Lecture 2: Registration Process
Lecture 3: Registering the User
Lecture 4: Verifying the User Credentials
Lecture 5: Passing Messages in Django
Lecture 6: Log In the registered User
Lecture 7: Log out User
Chapter 13: Screen Shot Application in Python
Lecture 1: Introduction to the Application
Lecture 2: Modules Overview
Lecture 3: Modules and GUI
Lecture 4: Main Function
Lecture 5: Versions Information
Lecture 6: Verifying Arguments
Lecture 7: Creating Browser
Lecture 8: Saving a Screen Shot
Lecture 9: Opening with default App and Exit App
Lecture 10: Load Handler Class
Lecture 11: Running the Code
Chapter 14: PDF Audio Reader Application
Lecture 1: Introduction to the Application
Lecture 2: Modules Introduction
Lecture 3: Extracting Text From PDF File
Lecture 4: Speak Hello World
Lecture 5: GUI Application 1
Lecture 6: GUI Application 2
Lecture 7: Control Flow Function
Lecture 8: Extracting Text From PDF File
Lecture 9: Configuring the GUI Application
Chapter 15: Python Comprehension
Lecture 1: Introduction to Comprehension
Lecture 2: List Comprehension
Lecture 3: Dictionary Comprehension
Chapter 16: Linked List in Python
Lecture 1: Introduction to Linked List
Instructors
-
Data Science Academy
Software Engineer, Data Scientist and Entrepreneur
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 12 votes
- 4 stars: 20 votes
- 5 stars: 233 votes
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