Learn how to easily implement modern designs in your Tkinter-based Python applications using ttkbootstrap.

You will learn how to use all the main ttkbootstrap widgets to make your Tkinter apps look modern and awesome!

✏️ Course developed by @TkinterPython

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:09:07) Labels and Buttons
⌨️ (0:19:59) CheckButtons
⌨️ (0:29:50) Resizing Buttons
⌨️ (0:35:46) Combo Boxes
⌨️ (0:42:52) Entry Boxes
⌨️ (0:48:58) Floodgauge
⌨️ (0:58:29) Date Entry
⌨️ (1:08:37) Frames and Labels
⌨️ (1:14:31) Menu Buttons
⌨️ (1:23:50) Meters
⌨️ (1:37:53) Notebooks
⌨️ (1:44:13) Progress Bars
⌨️ (1:59:24) Radio Buttons
⌨️ (2:10:46) Sliders
⌨️ (2:19:05) Scrollbars
⌨️ (2:24:58) Separators and Sizegrips
⌨️ (2:31:19) Spinboxes
⌨️ (2:39:01) Treeview
⌨️ (2:45:52) Message Boxes
⌨️ (2:57:30) Color Chooser
⌨️ (3:05:52) Scrolled Text
⌨️ (3:12:08) Scrolled Frame
⌨️ (3:17:39) Toast Messages
⌨️ (3:23:14) Conclusion

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🔥 Edureka R Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/data-an....alytics-with-r-certi
This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial:

1. Why do we need Analytics ?
2. What is Business Analytics ?
3. Why R ?
4. Variables in R
5. Data Operator
6. Data Types
7. Flow Control
8. Plotting a graph in R

Check out our R Playlist: https://goo.gl/huUh7Y

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How it Works?

1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you:

1. Understand concepts around Business Intelligence and Business Analytics

2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others

3. Apply various supervised machine learning techniques

4. Perform Analysis of Variance (ANOVA)

5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc

6. Use various packages in R to create fancy plots

7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights


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Who should go for this course?

This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics.

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Why learn Data Analytics with R?

The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists.

Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career

Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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This lab measures the tiniest forces in the universe. This video is sponsored by Brilliant. You can get started for free, or the first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.

▀▀▀
Thanks to Rich Press and NIST for the great visit.
Thanks to Dr. Gordon Shaw for showing us around his lab and teaching us about measuring tiny forces.
You can check out all the cool work going on at NIST here: https://www.nist.gov/

▀▀▀
References:

Lee, J. (2016). Measuring Tiny Forces With Light. NIST. – https://ve42.co/Lee2016

Melcher, J., Stirling, J., Guzman, F., Pratt, J. & Shaw, G. (2014). A self-calibrating optomechanical force sensor with femtonewton resolution. Applied Physics Letters. – https://ve42.co/Melcher2014

▀▀▀
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Written by Derek Muller
Edited by Trenton Oliver
Animation by Ivy Tello
Filmed by Derek Muller, Trenton Oliver, and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This video on the Sentiment Analysis in Python is a quick guide for the one who is getting started with Sentiment Analysis.
Second Part: https://youtu.be/27P268Q7pE0

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NIT Warangal: https://bit.ly/3qdRRdw

How it Works?

1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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