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Epython Lab
United States
Registrace 20. 12. 2015
Welcome to Epython Lab!!
It was founded in September 2020.
It's aims to give data science and python training and develop and provide data science and analytic solutions for any problems. We plan to build a virtual laboratory where everyone can learn and experiment with solutions to problems.
DONATE Epython Lab donorbox.org/donate-epythonlab
Thanks for joining us!!!
It was founded in September 2020.
It's aims to give data science and python training and develop and provide data science and analytic solutions for any problems. We plan to build a virtual laboratory where everyone can learn and experiment with solutions to problems.
DONATE Epython Lab donorbox.org/donate-epythonlab
Thanks for joining us!!!
Master MongoDB with VS Code: Step-by-Step Guide to Creating Databases, Collections, and Documents
This comprehensive MongoDB tutorial teaches how to create and manage databases, collections, and documents using the MongoDB Playground in Visual Studio Code. We walk you through the step-by-step process of setting up your database, inserting single and multiple documents, and understanding the use of ObjectId in MongoDB. Perfect for beginners and those looking to master MongoDB with VS Code, this guide covers all the basics you need to get started
MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code: czcams.com/video/nm-7rM5mnYE/video.html
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💰Join this channel to get exclusive access:
bit.ly/363MzLo
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Join the discussion groups:
💻 Telegram: epythonlab.t.me/
💻 Facebook: epythonlab1/
💻 Twitter: epythonlab1/
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COME AGAIN!
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MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code: czcams.com/video/nm-7rM5mnYE/video.html
-----------------------------------------------------------------------------------
💰Join this channel to get exclusive access:
bit.ly/363MzLo
----------------------------------------------------------------------------------
Join the discussion groups:
💻 Telegram: epythonlab.t.me/
💻 Facebook: epythonlab1/
💻 Twitter: epythonlab1/
-----------------------------------------------------------------------------------
COME AGAIN!
-----------------------------------------------------------------------------------
zhlédnutí: 6
Video
MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code
zhlédnutí 84Před dnem
Hey everyone, welcome to the first episode of our MongoDB tutorial series! If you're new to MongoDB or databases in general, you're in the right place. Today, we're going to introduce you to MongoDB and walk you through setting up your development environment using Visual Studio Code. By the end of this video, you'll be ready to start working with MongoDB in your own projects. 💰 Join this chann...
Data Analysis vs. Data Analytics: What's the Difference?
zhlédnutí 65Před 14 dny
In this video, we dive deep into the differences between Data Analysis and Data Analytics-two terms often used interchangeably but have distinct roles in the data science world. We'll break down each concept, explore their unique techniques, and provide real-world examples to help you understand when to use each approach. Whether you're a data enthusiast, a business professional, or someone loo...
Step-by-Step Guide to Debugging in VS Code
zhlédnutí 68Před 21 dnem
Debugging Python code effectively involves understanding the tools and techniques that can help you identify and fix issues. Using the built-in debugger in VS Code is a powerful way to accomplish this. Below is a guide on how to use the VS Code debugger to set breakpoints, inspect variables, and step through code execution, along with some additional debugging tips. 💰Join this channel to get ex...
How to use Data as Code
zhlédnutí 362Před měsícem
Welcome to our channel! Today, we’re diving into the 'Data as Code.' Imagine if you could manage your data with the same rigor and efficiency as you manage your code. That's what 'Data as Code' is all about. It’s defining, maintaining, and managing data structures using code-like practices to improve consistency, reusability, and collaboration. What is Data as Code? ✔️ Working with YAML files i...
How the Level of Developers Write Code
zhlédnutí 690Před měsícem
Hey everyone! In today's video, I am going to explore the different levels of writing code by looking at a simple problem: finding the maximum value in a list of integers. We'll see how a junior developer, a mid-level developer, and a senior developer might approach this task. Let's dive in! 💰Donate to us at donorbox.org/donate-epythonlab Join this channel to get exclusive access: bit.ly/363MzL...
How to Test ETL Process Pipeline with Python
zhlédnutí 315Před měsícem
Hello everyone! Welcome back to our ETL tutorial series. In this video, I'll be focusing on ETL testing. ETL testing is crucial to ensure the accuracy and reliability of our data processing. I'll use Python's `unit test` framework and Pandas to write and run our tests. If you haven't seen the previous tutorial on the ETL process, I highly recommend checking that out first. In that video, we cov...
Differences Between Shallow and Deep Copy in Python
zhlédnutí 99Před měsícem
Learn about the differences between shallow and deep copy in Python in this informative video. Understand when to use each method for efficient programming. 💰Donate to me by Joining this channel as a member: bit.ly/363MzLo Join the discussion groups: 💻 Telegram: epythonlab.t.me/ 💻 Facebook: epythonlab1/ COME AGAIN!
Basic Linux Commands for Beginners
zhlédnutí 302Před měsícem
New to Linux? Learn the basic Linux commands for beginners in this easy-to-follow video tutorial. Master essential commands and start navigating your Linux system like a pro! Don't forget to like, share, and subscribe for more data science and machine learning tutorials! If you have any questions or suggestions for future videos, please leave them in the comments below. Join this channel to get...
Automate ETL Process using Python
zhlédnutí 858Před 2 měsíci
Welcome to this tutorial where you will learn how to automate an ETL (Extract, Transform, Load) process using Python. This tutorial is ideal for those who want to manage their data more efficiently and automate repetitive tasks. In this tutorial, I’ve covered how to extract data from a CSV file, transform it, load it into another CSV file, and automate the process. If you found this tutorial he...
Fundamentals of Data Engineering Principles
zhlédnutí 82Před 2 měsíci
Welcome, everyone. Today, I'll be exploring the essential principles of data engineering and how they contribute to building robust and scalable data systems. I'm Asibeh, and I'm excited to share these insights with you. 💰Donate to us at donorbox.org/donate-epythonlab Join this channel to get exclusive access: bit.ly/363MzLo Join the discussion groups: 💻 Telegram: epythonlab.t.me/ 💻 Facebook: f...
Python: Avoid These Mistakes in Asynchronous Code
zhlédnutí 105Před 2 měsíci
Learn how to avoid common errors and follow best practices when writing asynchronous code in Python. Improve your coding skills with these tips! 💰Donate to us at donorbox.org/donate-epythonlab Join this channel to get exclusive access: bit.ly/363MzLo Join the discussion groups: 💻 Telegram: epythonlab.t.me/ 💻 Facebook: epythonlab1/ 💻 Twitter: epythonlab1/ COME AGAIN!
Asyncio in Python with Examples
zhlédnutí 139Před 2 měsíci
Welcome to this comprehensive tutorial on asyncio in Python. As modern applications increasingly rely on performing multiple tasks simultaneously, understanding how to manage asynchronous operations efficiently is crucial. asyncio is Python's built-in library designed to handle these asynchronous tasks using an elegant and straightforward syntax. Throughout this tutorial, we will explore asynci...
Manage Class Attributes with @property Decorator
zhlédnutí 87Před 3 měsíci
In this video, you'll have the skills to elegantly control your class attributes with property decorator in Python. 💰Donate to us at donorbox.org/donate-epythonlab Join this channel to get exclusive access: bit.ly/363MzLo Join the discussion groups: 💻 Telegram: epythonlab.t.me/ 💻 Facebook: epythonlab1/ 💻 Twitter: epythonlab1/ COME AGAIN!
Python Async/Await: Master Asynchronous Programming
zhlédnutí 555Před 3 měsíci
The async keyword in Python is used to declare a function as a “coroutine.” A coroutine is a special kind of function that can be paused and resumed, allowing Python to handle other tasks in the meantime. The await keyword is used inside an async function to call another async function and wait for it to finish. In this video, you will understand about what is async/await, the benefits of using...
Machine Learning Projects - Bag of Words
zhlédnutí 126Před 3 měsíci
Machine Learning Projects - Bag of Words
Learn How to Create and Parse XML Documents in Python
zhlédnutí 245Před 4 měsíci
Learn How to Create and Parse XML Documents in Python
Convert XML to Pandas DataFrame in Python
zhlédnutí 247Před 4 měsíci
Convert XML to Pandas DataFrame in Python
Full-stack Web application Development Tutorial
zhlédnutí 264Před 5 měsíci
Full-stack Web application Development Tutorial
Filtering Rows and Columns in Pandas DataFrame
zhlédnutí 191Před 5 měsíci
Filtering Rows and Columns in Pandas DataFrame
Python Coding Interview Questions Part 1
zhlédnutí 429Před 5 měsíci
Python Coding Interview Questions Part 1
Introduction to Object Oriented Programming in Python
zhlédnutí 565Před 5 měsíci
Introduction to Object Oriented Programming in Python
Data Structures in Python Full Tutorial
zhlédnutí 802Před 6 měsíci
Data Structures in Python Full Tutorial
Python Programming for Beginners - Full Course
zhlédnutí 1,6KPřed 6 měsíci
Python Programming for Beginners - Full Course
Quantum Computing Programming in Python with Qiskit
zhlédnutí 516Před 6 měsíci
Quantum Computing Programming in Python with Qiskit
Mojo Programming Language - Full Course for Beginners
zhlédnutí 1,3KPřed 6 měsíci
Mojo Programming Language - Full Course for Beginners
First to watch and comment 😂❤
Thank you for this material. It is very good. It is help me to analyze some XML report.
Thanks
Qiqil quantum jir😹
does this work in usa specifically?
Yes, it works everywhere. Try it.
how to fix this? Error in the LiveCode extension! Error running python with command: py -u
Thanks
Thanks
Thank you so much , logic absolutely working !!
Thanks for watching
Nice video,thanks!
Thanks for your feedback.
Thank You very much for your video, it was very useful to me. Success
Thank you very much for your feedback.
Senior dev will not add try-catch into the function in this way - as this is redundant code, all that it does is just rewrite the error message
Ofcourse. It is redundant error handling but I want to show that error handling is important pro developers are considering. Thanks for your nice comment.
nice
🎉🎉🎉
Thank You so much bro berta
Thanks for your feedback.
I want to use this with pyside6. Can i do it?
Try it and see the output. Sometimes doesn't work in external libraries.
@@epythonlab thank you
I need the ETL testing using Python
That's great. I will make a new video. Stay tuned.
is it working in africa ?
Yes. It is working everywhere.
Hi in the minute 4:57 the code should be updated to : from qiskit import QuantumCircuit, ClassicalRegister from qiskit_aer import Aer from qiskit.compiler import transpile, assemble # Create a Quantum Circuit acting on a quantum register of two qubits circuit = QuantumCircuit(2) # Add a H gate on qubit 0 circuit.h(0) # Add a classical register with 2 bits creg = ClassicalRegister(2, name='c') circuit.add_register(creg) # Map the quantum measurement to the classical bits circuit.measure([0, 1], [creg[0], creg[1]]) # Use Aer's qasm_simulator simulator = Aer.get_backend('qasm_simulator') # Transpile and assemble the circuit for the simulator backend transpiled_circuit = transpile(circuit, simulator) qobj = assemble(transpiled_circuit) # Execute the circuit on the qasm simulator result = simulator.run(qobj).result() # Print the result counts = result.get_counts() print(counts)
Great video. Thanks a lot
Thanks for your feedback.🙏
Wonderful! Thank you for this tutorial!😊
Thank you so much.🙏
Do i need openai credits for this
Yes, if you want to develop a realtime chat app
Coool🎉
🎉🎉🎉
PLEASE can you gave me the data set?
Yes, contact t.me/asibehtenager
@@epythonlab ok
wait, huh like... It's the exact video i was searching for xdd thank you so much !!!!!
Thanks for your feedback. Keep learning!!
How to fix py not recognized even tho my python is linked on PATH
Keep up
Thanks 👍
Excellent
Love this 🎉
Nice 🎉
Thank you.
These graphics sort of have a flash photography vibe to it.
I like the previous videos, but this one is just not true. Emotion is replicating empathy (people are currently falling in love with AI chatbots etc), AI can solve mathematically problems better than most humans can, including critical thinking. Now AI can learn and automate itself connected to the internet, which means it will learn faster than any human can, as it will take just the time for 1 machine to learn something for all connected machines to learn it as well, unlike humans. On the other hand the self automation is not something that just happens without a reason but finding a "reason" to do so is not a hard leap to be taken by a AI. AI already takes unprogrammed decisions based on data analysis so what happens when some AI in a big truck decides all human walkers delaying the delivery of a critical package are nothing but objects delaying such a critical mission? My "guess" is just removed them (and ya the do not harm to humanity doesnt work as its been proven that AI will circunvent that if reframed in a way that saves more lives in the future - so if the package is a vaccine with potential to save a million lives in 10 years, it will outweight the lives of 1000 humans on the road to the final destination of the truck). What I would really like is for ppl in the field to actually do some work on the consequences of creating something smarter than the human, becuase like all creatures that are smarter than others (humans included) tend to reguard others species as nothing more than annoyancing creatures that should be controled if they go against their own interests (survival of the fittest and evolution applies to all things with evolutionary potential, not just living things).
Thank you for your feedback.
After detecting the outliers how do you remove it?
Once detect the outliers, it's your decision that what you remove or impute the data based on some criteria. It's depends on the nature of your data. Anyhow whatch the video till the end and it's tell you how do you remove detected outliers.
@@epythonlab Thank you for the video🙏.