Companies Home Search Profile

Python & Python PyQT5 | PyQT5 with Python GUI Programming

Focused View

Oak Academy,Ali̇ CAVDAR,OAK Academy Team

16:07:54

254 View
  • 1. Installing Anaconda Distribution for Windows.mp4
    10:35
  • 2. Installing Anaconda Distribution for MacOs.mp4
    18:11
  • 3. Installing Anaconda Distribution for Linux.mp4
    14:43
  • 4. Reviewing The Jupyter Notebook.mp4
    12:54
  • 5. Reviewing The Jupyter Lab.mp4
    11:36
  • 6. Installing Python and PyCharm For Windows.mp4
    04:19
  • 7. Installing Python and PyCharm For Mac.mp4
    05:45
  • 8. Overview of Jupyter Notebook and Google Colab.mp4
    05:31
  • 9. Installing Qt Creator in Python.mp4
    05:39
  • 1. Python Introduction.mp4
    05:31
  • 2. Project Files.html
  • 3. First Step to Coding.mp4
    07:05
  • 4. FAQ regarding Python.html
  • 5. Using Quotation Marks in Python Coding.mp4
    08:20
  • 6. How Should the Coding Form and Style Be (Pep8).mp4
    09:50
  • 7. Quiz.html
  • 1. Introduction to Basic Data Structures in Python.mp4
    08:16
  • 2. Performing Assignment to Variables.mp4
    10:10
  • 3. Performing Complex Assignment to Variables.mp4
    04:56
  • 4. Type Conversion.mp4
    09:03
  • 5. Arithmetic Operations in Python.mp4
    09:53
  • 6. Examining the Print Function in Depth.mp4
    07:29
  • 7. Escape Sequence Operations.mp4
    08:25
  • 8. Quiz.html
  • 1. Boolean Logic Expressions.mp4
    05:03
  • 2. Order Of Operations In Boolean Operators.mp4
    01:12
  • 3. Practice with Python.mp4
    11:56
  • 4. Quiz.html
  • 1. Examining Strings Specifically.mp4
    08:31
  • 2. Accessing Length Information (Len Method).mp4
    02:41
  • 3. Search Method In Strings Startswith(), Endswith().mp4
    11:24
  • 4. Character Change Method In Strings Replace().mp4
    05:06
  • 5. Spelling Substitution Methods in String.mp4
    05:07
  • 6. Character Clipping Methods in String.mp4
    06:35
  • 7. Indexing and Slicing Character String.mp4
    08:02
  • 8. Complex Indexing and Slicing Operations.mp4
    10:48
  • 9. String Formatting with Arithmetic Operations.mp4
    06:22
  • 10. String Formatting With % Operator.mp4
    10:24
  • 11. String Formatting With String.Format Method.mp4
    08:17
  • 12. String Formatting With f-string Method.mp4
    05:51
  • 13. Quiz.html
  • 1. Creation of List.mp4
    11:06
  • 2. Reaching List Elements Indexing and Slicing.mp4
    08:07
  • 3. Adding & Modifying & Deleting Elements of List.mp4
    07:46
  • 4. Adding and Deleting by Methods.mp4
    05:31
  • 5. Adding and Deleting by Index.mp4
    04:59
  • 6. Other List Methods.mp4
    06:07
  • 7. Quiz.html
  • 1. Creation of Tuple.mp4
    09:52
  • 2. Reaching Tuple Elements Indexing And Slicing.mp4
    04:24
  • 3. Quiz.html
  • 1. Creation of Dictionary.mp4
    06:02
  • 2. Reaching Dictionary Elements.mp4
    08:00
  • 3. Adding & Changing & Deleting Elements in Dictionary.mp4
    03:40
  • 4. Dictionary Methods.mp4
    07:46
  • 5. Quiz.html
  • 1. Creation of Set.mp4
    08:08
  • 2. Adding & Removing Elements Methods in Sets.mp4
    04:44
  • 3. Difference Operation Methods In Sets.mp4
    05:18
  • 4. Intersection & Union Methods In Sets.mp4
    02:33
  • 5. Asking Questions to Sets with Methods.mp4
    06:06
  • 6. Quiz.html
  • 1. Comparison Operators.mp4
    06:17
  • 2. Structure of if Statements.mp4
    08:30
  • 3. Structure of if-else Statements.mp4
    04:36
  • 4. Structure of if-elif-else Statements.mp4
    09:21
  • 5. Structure of Nested if-elif-else Statements.mp4
    10:01
  • 6. Coordinated Programming with IF and INPUT.mp4
    07:29
  • 7. Ternary Condition.mp4
    05:14
  • 8. Quiz.html
  • 1. For Loop in Python.mp4
    07:17
  • 2. For Loop in Python(Reinforcing the Topic).mp4
    07:06
  • 3. Using Conditional Expressions and For Loop Together.mp4
    10:01
  • 4. Continue Command.mp4
    03:22
  • 5. Break Command.mp4
    04:39
  • 6. List Comprehension.mp4
    07:48
  • 7. Quiz.html
  • 1. While Loop in Python.mp4
    05:38
  • 2. While Loops in Python Reinforcing the Topic.mp4
    14:19
  • 3. Quiz.html
  • 1. Getting know to the Functions.mp4
    08:32
  • 2. How to Write Function.mp4
    06:59
  • 3. Return Expression in Functions.mp4
    05:11
  • 4. Writing Functions with Multiple Argument.mp4
    05:02
  • 5. Writing Docstring in Functions.mp4
    05:02
  • 6. Using Functions and Conditional Expressions Together.mp4
    10:57
  • 7. Quiz.html
  • 1. Arguments and Parameters.mp4
    11:15
  • 2. High Level Operations with Arguments.mp4
    12:54
  • 3. Quiz.html
  • 1. all(), any() Functions.mp4
    05:52
  • 2. map() Function.mp4
    04:58
  • 3. filter() Function.mp4
    04:42
  • 4. zip() Function.mp4
    04:22
  • 5. enumerate() Function.mp4
    03:30
  • 6. max(), min() Functions.mp4
    02:08
  • 7. sum() Function.mp4
    01:44
  • 8. round() Function.mp4
    04:14
  • 9. Lambda Function.mp4
    11:46
  • 10. Quiz.html
  • 1. Local and Global Variables.mp4
    04:08
  • 2. Features of Class.mp4
    08:09
  • 3. Instantiation of Class.mp4
    06:58
  • 4. Attribute of Instantiation.mp4
    09:31
  • 5. Write Function in the Class.mp4
    07:09
  • 6. Inheritance Structure.mp4
    11:34
  • 1. Introduction to Python GUI.mp4
    02:42
  • 2. FAQ regarding Python, Python Gui, Python PyQt.html
  • 1. Logic of OOP - Object Oriented Programming.mp4
    04:58
  • 2. Constructor in Python gui, Pyqt5.mp4
    06:52
  • 3. Methods in Python gui, Pyqt5.mp4
    04:41
  • 4. Inheritance in Python gui, Pyqt5.mp4
    06:42
  • 5. Overriding and Overloading in Python gui, Pyqt5.mp4
    10:33
  • 6. Quiz.html
  • 1. What is Matplotlib in Python gui.mp4
    03:02
  • 2. Using Matplotlib in Python gui.mp4
    07:30
  • 3. Pyplot Pylab Matplotlib in Python gui.mp4
    07:19
  • 4. Figure, Subplot, Multiplot, Axes.mp4
    17:28
  • 5. Figure Customization.mp4
    14:47
  • 6. Plot Customization.mp4
    06:44
  • 7. Quiz.html
  • 1. Project analysis in python gui.mp4
    02:14
  • 1. Main Menu in python gui programming.mp4
    06:06
  • 2. Employee Screen in gui python.mp4
    10:25
  • 3. New Employee Screen in python gui programming using pyqt5.mp4
    04:40
  • 4. Leave Screen in PYQT5.mp4
    06:06
  • 5. Add Leave Screen in PYQT.mp4
    04:43
  • 6. Chart Screen in Python gui.mp4
    03:25
  • 7. Convert UI to Python file.mp4
    04:07
  • 1. Launching the Python GUI Project.mp4
    07:41
  • 2. Main Window communication in GUI.mp4
    08:49
  • 3. Navigating Back in Python GUI.mp4
    03:15
  • 4. Creating a New Employee in python gui programming using pyqt5.mp4
    13:04
  • 5. Database class creation in Python gui.mp4
    06:01
  • 6. Add New Employee in Python gui.mp4
    09:53
  • 7. Load Employee Table in GUI.mp4
    06:54
  • 8. Context Menu in PYQT5.mp4
    13:06
  • 9. Leave History query in Python gui.mp4
    06:57
  • 10. Load Leave table in GUI.mp4
    03:41
  • 11. Create an employee in Python gui.mp4
    10:38
  • 12. Add leave in GUI Programming Using PyQt5.mp4
    20:21
  • 13. Filtering in Python GUI Desktop Applications With PYQT.mp4
    20:06
  • 14. Export table in gui python.mp4
    07:20
  • 15. Delete employee in python gui programming using pyqt5.mp4
    06:42
  • 16. Leave statistic chart in python gui.mp4
    16:02
  • 17. Total leave per department chart in python gui programming.mp4
    08:26
  • 1. Python & Python PyQT5 PyQT5 with Python GUI Programming.html
  • Description


    Python Programming for Data Science & PyQT and Python GUI Programming to Build Python GUI Desktop Application with PYQT5

    What You'll Learn?


    • In the software world, python is mostly used in data science and artificial intelligence operations. So you may not have seen many python based applications.
    • In this training, we aimed to develop an application using python for beginners with you.
    • how to quickly develop interfaces in python gui
    • how to communicate between windows
    • how to use your database operations in python programming
    • how to visualize your data in Python GUI
    • In this course, we will make a simple "employee leave tracking" application with you. In this application we will have 3 screens and 2 dialogs. These screens
    • employee information screen in python gui programming
    • leave information screen in gui python
    • charts screen in GUI Python
    • In the application, we will first design each screen one by one and turn it into python codes. Later, we will provide communication between these screens.
    • Installing Anaconda Distribution for Windows
    • Installing Anaconda Distribution for MacOs
    • Installing Anaconda Distribution for Linux
    • Reviewing The Jupyter Notebook
    • Reviewing The Jupyter Lab
    • Python Introduction
    • First Step to Coding
    • Using Quotation Marks in Python Coding
    • How Should the Coding Form and Style Be (Pep8)
    • Introduction to Basic Data Structures in Python
    • Performing Assignment to Variables
    • Performing Complex Assignment to Variables
    • Type Conversion
    • Arithmetic Operations in Python
    • Examining the Print Function in Depth
    • Escape Sequence Operations
    • Boolean Logic Expressions
    • Order Of Operations In Boolean Operators
    • Practice with Python
    • Examining Strings Specifically
    • Accessing Length Information (Len Method)
    • Search Method In Strings Startswith(), Endswith()
    • Character Change Method In Strings
    • Replace() Spelling Substitution Methods in String
    • Character Clipping Methods in String
    • Indexing and Slicing Character String
    • Complex Indexing and Slicing Operations
    • String Formatting with Arithmetic Operations
    • String Formatting With % Operator
    • String Formatting With String Format Method
    • String Formatting With f-string Method
    • Creation of List
    • Reaching List Elements – Indexing and Slicing
    • Adding & Modifying & Deleting Elements of List
    • Adding and Deleting by Methods
    • Adding and Deleting by Index
    • Other List Methods
    • Creation of Tuple
    • Reaching Tuple Elements Indexing And Slicing
    • Creation of Dictionary
    • Reaching Dictionary Elements
    • Adding & Changing & Deleting Elements in Dictionary
    • Dictionary Methods
    • Creation of Set
    • Adding & Removing Elements Methods in Sets
    • Difference Operation Methods In Sets
    • Intersection & Union Methods In Sets
    • Asking Questions to Sets with Methods
    • Comparison Operators
    • Structure of “if” Statements
    • Structure of “if-else” Statements
    • Structure of “if-elif-else” Statements
    • Structure of Nested “if-elif-else” Statements
    • Coordinated Programming with “IF” and “INPUT”
    • Ternary Condition
    • For Loop in Python
    • For Loop in Python(Reinforcing the Topic)
    • Using Conditional Expressions and For Loop Together
    • Continue Command
    • Break Command
    • List Comprehension
    • While Loop in Python
    • While Loops in Python Reinforcing the Topic
    • Getting know to the Functions
    • How to Write Function
    • Return Expression in Functions
    • Writing Functions with Multiple Argument
    • Writing Docstring in Functions
    • Using Functions and Conditional Expressions Together
    • Arguments and Parameters
    • High Level Operations with Arguments
    • all(), any() Functions
    • map() Function
    • filter() Function
    • zip() Function
    • enumerate() Function
    • max(), min() Functions
    • sum() Function
    • round() Function
    • Lambda Function
    • Local and Global Variables
    • Features of Class
    • Instantiation of Class
    • Attribute of Instantiation
    • Write Function in the Class
    • Inheritance Structure

    Who is this for?


  • Anyone who wants to start learning Python bootcamp
  • Anyone who plans a career as Python developer
  • Anyone who needs a complete guide on how to start and continue their career with Python in data analysis
  • And also, who want to learn how to develop ptyhon coding
  • People who want to learn python
  • People who want to learn python programming
  • People who want to learn python programming, python examples
  • What You Need to Know?


  • A working computer (Windows, Mac, or Linux)
  • No prior knowledge of Python for beginners is required
  • Motivation to learn the the second largest number of job postings relative program language among all others
  • Desire to learn machine learning python
  • Curiosity for python programming
  • Desire to learn python programming, pycharm, python pycharm
  • Nothing else! It’s just you, your computer and your ambition to get started today
  • More details


    Description

    Welcome to my " Python & Python PyQT5 | PyQT5 with Python GUI Programming " course.

    Python Programming for Data Science & PyQT and Python GUI Programming to Build Python GUI Desktop Application with PYQT5


    Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.


    Python
    instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
    Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.

    Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.

    PyQt is a Python binding of the cross-platform GUI toolkit Qt, implemented as a Python plug-in. PyQt is free software developed by the British firm Riverbank Computing

    The Python GUI Project, aka PyGUI framework, is a simple API for developers to create user interfaces using native elements for Python applications. As a lightweight API, not a lot of code is needed between the app and the target platform, making it far more efficient than many of the other frameworks on this list.

    Do you want to learn one of the employer’s most requested skills? If you think so, you are at the right place. Python, machine learning, Django, python programming, machine learning python, python Bootcamp, coding, data science, data analysis, programming languages.

    We've designed for you "Python: Python Programming with Python project & 250 quizzes” a straightforward course for the Python programming language.

    In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.

    In this course we will learn what is the GUI, PyQT5 and how does it work. And also how we develop a program with python. For those who want to use Python not only in Artificial Intelligence ( AI ) and Data Science or Machine Learning but also develop a program using Python.

    This course has suitable for everybody who is interested in Python PYQT. But not just only

    This Python course is for everyone!

    My "Python & Python PyQT5 | PyQT5 with Python GUI Programming" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

    Why Python?

    Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.

    No prior knowledge is needed!

    Python doesn't need any prior knowledge to learn it and the Ptyhon code is easy to understand for beginners.

    What you will learn?

    In this course, we will start from the very beginning and go all the way to programming with hands-on examples . We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development like


    • Installing Anaconda Distribution for Windows

    • Installing Anaconda Distribution for MacOs

    • Installing Anaconda Distribution for Linux

    • Reviewing The Jupyter Notebook

    • Reviewing The Jupyter Lab

    • Python Introduction

    • First Step to Coding

    • Using Quotation Marks in Python Coding

    • How Should the Coding Form and Style Be (Pep8)

    • Introduction to Basic Data Structures in Python

    • Performing Assignment to Variables

    • Performing Complex Assignment to Variables

    • Type Conversion

    • Arithmetic Operations in Python

    • Examining the Print Function in Depth

    • Escape Sequence Operations

    • Boolean Logic Expressions

    • Order Of Operations In Boolean Operators

    • Practice with Python

    • Examining Strings Specifically

    • Accessing Length Information (Len Method)

    • Search Method In Strings Startswith(), Endswith()

    • Character Change Method In Strings Replace()

    • Spelling Substitution Methods in String

    • Character Clipping Methods in String

    • Indexing and Slicing Character String

    • Complex Indexing and Slicing Operations

    • String Formatting with Arithmetic Operations

    • String Formatting With % Operator

    • String Formatting With String.Format Method

    • String Formatting With f-string Method

    • Creation of List

    • Reaching List Elements – Indexing and Slicing

    • Adding & Modifying & Deleting Elements of List

    • Adding and Deleting by Methods

    • Adding and Deleting by Index

    • Other List Methods

    • Creation of Tuple

    • Reaching Tuple Elements Indexing And Slicing

    • Creation of Dictionary

    • Reaching Dictionary Elements

    • Adding & Changing & Deleting Elements in Dictionary

    • Dictionary Methods

    • Creation of Set

    • Adding & Removing Elements Methods in Sets

    • Difference Operation Methods In Sets

    • Intersection & Union Methods In Sets

    • Asking Questions to Sets with Methods

    • Comparison Operators

    • Structure of “if” Statements

    • Structure of “if-else” Statements

    • Structure of “if-elif-else” Statements

    • Structure of Nested “if-elif-else” Statements

    • Coordinated Programming with “IF” and “INPUT”

    • Ternary Condition

    • For Loop in Python

    • For Loop in Python(Reinforcing the Topic)

    • Using Conditional Expressions and For Loop Together

    • Continue Command

    • Break Command

    • List Comprehension

    • While Loop in Python

    • While Loops in Python Reinforcing the Topic

    • Getting know to the Functions

    • How to Write Function

    • Return Expression in Functions

    • Writing Functions with Multiple Argument

    • Writing Docstring in Functions

    • Using Functions and Conditional Expressions Together

    • Arguments and Parameters

    • High Level Operations with Arguments

    • all(), any() Functions

    • map() Function

    • filter() Function

    • zip() Function

    • enumerate() Function

    • max(), min() Functions

    • sum() Function

    • round() Function

    • Lambda Function

    • Local and Global Variables

    • Features of Class

    • Instantiation of Class

    • Attribute of Instantiation

    • Write Function in the Class

    • Inheritance Structure

    • Python fundamentals like data types, operators, reserved words

    • Writing complex python 3 programs in a practical way.

    • Appear confident in interviews and crack them easily

    • Python fundamentals like data types, operators, reserved words

    • Python flow control and loops

    • Python strings and how can you use them

    • Python tuple and lists

    • Python sets and dictionary along with examples

    • Python functions and modules. We will also understand how to use them.

    • Object oriented programming with python with examples

    • How to create user interface for your python software using tkinter

    • Build real world projects like calculator, currency converter, URL shortener, web scraper, etc

    • Learn how can you work with API’s using python

    With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.

    Do not forget ! Python for beginners has the second largest number of job postings relative to all other languages. So it will earn you a lot of money and will bring a great change in your resume.

    How can we use GUI in Python?

    I wonder if we can quickly prepare a user interface in python gui programming using pyqt5 ?

    In this course, we will seek answers to these questions with you. First of all, in our course, we will explain the fundamental topics of Python so that those who are new to Python can understand it. These fundamental topics will include the most powerful and important topics of both Python and software development, such as OOP and data visualization. Then we will try to develop a program using Python with you. While doing this, we will learn how to do GUI design in Python. We will also learn how to make database connections in Python.


    What is python?
    Machine learning python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python bootcamp is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.


    What does it mean that Python is object-oriented?
    Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.


    What are the limitations of Python?
    Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant.


    How is Python used?
    Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library.


    What jobs use Python?
    Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.


    What is the use of PyQt5?

    PyQt is widely used for creating large-scale GUI-based programs. It gives programmers the freedom to create GUIs of their choice while also providing a lot of good pre-built designs. PyQT gives you widgets to create complex GUIs.


    How do I learn Python on my own?
    Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Udemy’s online courses are a great place to start if you want to learn Python on your own.


    Why would you want to take this course?

    Our answer is simple: The quality of teaching.

    OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 2000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.

    When you enroll, you will feel the OAK Academy`s seasoned developers' expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.


    Video and Audio Production Quality

    All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

    You will be,

    • Seeing clearly

    • Hearing clearly

    • Moving through the course without distractions

    You'll also get:

    Lifetime Access to The Course

    Fast & Friendly Support in the Q&A section

    Udemy Certificate of Completion Ready for Download

    Dive in now!


    We offer full support, answering any questions.

    See you in the " Python & Python PyQT5 | PyQT5 with Python GUI Programming " course.

    Python Programming for Data Science & PyQT and Python GUI Programming to Build Python GUI Desktop Application with PYQT5

    Who this course is for:

    • Anyone who wants to start learning Python bootcamp
    • Anyone who plans a career as Python developer
    • Anyone who needs a complete guide on how to start and continue their career with Python in data analysis
    • And also, who want to learn how to develop ptyhon coding
    • People who want to learn python
    • People who want to learn python programming
    • People who want to learn python programming, python examples

    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Category
    Hi there,By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point.At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution.OAK Academy will be the bridge between the tech industry and people who-are planning a new career-are thinking career transformation-want career shift or reinvention,-have the desire to learn new hobbies at their own paceBecause we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day.We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses,OAK Academy will provide you the information and support you need to move through your journey with confidence and ease.Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here.OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions.If you need help or if you have any questions, please do not hesitate to contact our team.
    Ali̇ CAVDAR
    Ali̇ CAVDAR
    Instructor's Courses
    I am a professional data scientist and IT ınstructor who's been developing data science and working with startups since 2020. I also have a broad set of skills in software information technology.On the other hand, I am a Dangerous Goods Safety Advisor.Teaching over 170,000 students on Udemy alone, I have helped tens of thousands of people learn Data Science. From zero to hero and novice to expert, I am considered a top teacher by thousands. With so much experience, why not give my experience and knowledge to others so they can fulfill their dreams?The passion for learning and sharing his knowledge by teaching and helping others drives him. It's a passion he's had since he was born. My ability to turn complex programming concepts into easy-to-understand bits of knowledge has been called my "superpower".Teaching isn't an option in my life but a moral obligation to pass on knowledge to others.
    OAK Academy Team
    OAK Academy Team
    Instructor's Courses
    We are the student support team that does both teaching and course preparation at the oak academy. The satisfaction of our students is our priority and source of motivation. You can use this profile for your technical support requests and problems you encounter after purchasing our courses, and you can send your questions to us.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 127
    • duration 16:07:54
    • English subtitles has
    • Release Date 2023/06/22