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20:11

Create a Task Manager App for the Terminal with Python (Rich, Typer, Sqlite3)

In this Python Tutorial we learn how to build a terminal application (CLI app) to manage our tasks and todos. We use Typer for building the CLI app, Rich for a colorized terminal output, and SQLite for the database. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in […]
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779
11:20

31 ESSENTIAL Python String Methods

Strings are an essential data type in Python that are used in nearly every application. In this tutorial we learn about the 31 most important built-in string methods. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : […]
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13
13:29

OUTGROWING NUMPY | DOUGAL MACLAURIN

PyTorch gives us GPUs and automatic differentiation through a NumPy-like programming model: you call into well-optimized numerical kernels from a dynamic host language, Python. The NumPy model is battle-tested and well-loved, and it’s particularly well suited to automatic differentiation with GPU-style parallelism. But it’s expressiveness limitations are well known. How do we move beyond it […]
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531
05:13

Super Quick Python Refactoring Tips

In this Python Tutorial I show you another 8 quick Python refactoring tips for cleaner and more Pythonic code. This is part 2 of my refactoring code series. ✅ Sourcery – Free VS Code & PyCharm Extension for Refactoring: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * Refactoring video part 1: https://youtu.be/rp1QR3eGI1k Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our […]

Master Pattern Matching In 5 Minutes | All Options | Python 3.10

Master the new Pattern Matching Feature in this Python 3.10 tutorial. We have a look at all the different code syntax options. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 🪁 Code faster with Kite, AI-powered autocomplete that integrates into VS […]
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300
10:30

Intro to JAX: Accelerating Machine Learning research

JAX is a Python package that combines a NumPy-like API with a set of powerful composable transformations for automatic differentiation, vectorization, parallelization, and JIT compilation. Your code can run on CPU, GPU or TPU. This talk will get you started accelerating your ML with JAX! Resources: JAX reference documentation → https://goo.gle/3BoqAIM Speaker: Jake VanderPlas (Software […]
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29:06

Create a Note Taking App with Speech Recognition and the Notion API | Python Tutorial

In this Python Tutorial we create a note taking app with speech recognition and the Notion API. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 🪁 Code faster with Kite, AI-powered autocomplete that integrates into VS Code: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=pythonengineer&utm_content=description-only * ⭐ Join […]
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202
32:33

Inside TensorFlow: TF NumPy

In this episode of Inside TensorFlow, Software Engineers Ashish Agarwal and Peng Wang present TensorFlow NumPy. Ashish and Peng will discuss how you can accelerate NumPy using TensorFlow, and bring all the benefits of the TensorFlow ecosystem to NumPy! NumPy API on TensorFlow → https://goo.gle/2TMDi0Q Module: tf.experimental.numpy → https://goo.gle/2JvuDhi GitHub → https://goo.gle/3eiLUWg Add the Inside […]
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08:18

The Walrus Operator – New in Python 3.8 – Python Tutorial

In this Python Tutorial I show you the new assignment expression also known as the walrus operator. This Python feature is new in Python 3.8. It can be used to evaluate an expression and simultaneously assign it to a variable. This can be useful to simplify the code in some cases. I will show you […]
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16:56

Coding Interview Question – Nth Fibonacci

In this tutorial we will be solving a popular coding interview question in Python: Calculate the Nth Fibonacci number. I show 3 possible solutions that let you shine during the coding interview and analyze the time and space complexity (big-O) of the algorithms. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ 🪁 Code faster with […]
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08:18

Python Automation Projects With Machine Learning

In this Python Tutorial I share Automation Projects With Machine Learning. 🤖 AssemblyAI Speech-To-Text API: https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=pythonengineer * Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook 🎦 Python Automation Ideas: https://youtu.be/VLNcnROUTb8 🎦 NLP TensorFlow: https://youtu.be/kxeyoyrf2cM 📓 Kaggle NLP tutorial: https://www.kaggle.com/arunrk7/nlp-beginner-text-classification-using-lstm 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to the channel: ▶️ […]
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116
17:52

How Neural Networks Can Be Hacked (And What You Should Do To Protect It)!

In this Tutorial I show you how easily Neural Networks can be hacked, and what you should do to protect against this. We learn about two hacking methods (Last Layer Attack and Backdooring) and I show you actual examples how to apply this. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook 🪁 Code faster with Kite, AI-powered […]
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06:10

Quick Data Analysis In Python Using Mito

In this Python Tutorial you will learn how you can efficiently work with spreadsheets in order to analyze and edit your data. For this we use a tool called Mito, which is a great jupyter lab extension. 🌟 Mito Links: Sign up for Access: https://hubs.ly/H0JDJZm0 * Mito Website: https://trymito.io/ Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook […]
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22:11

YouTube Data API Tutorial with Python – Analyze the Data – Part 4

In this Python Tutorial we will be learning how to work with the YouTube Data API and analyze channel statistics. This is going to be a 4 part series: – Part 1: Setup your app and get API Key, and extract basic channel statistics – Part 2: Get a list of all the videos of […]