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Технологии
Учебники по Python
Будьте в курсе последних новостей, техник и ресурсов по программированию на Python. В наших учебниках — подробные практические разборы и кейсы, которые помогут вам повысить квалификацию.
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Python Setup: The Definitive Guide
In this tutorial, you'll learn how to set up your computer for Python development, and explain the basics for having the best application lifecycle.
J. Andrés Pizarro
28 августа 2018 г.
Operators in Python
This tutorial covers the different types of operators in Python, operator overloading, precedence and associativity.
Théo Vanderheyden
24 августа 2018 г.
Analyzing Complexity of Code through Python
Get introduced to Asymptotic Analysis. Learn more about the complexity of the algorithm as well as asymptotic notation, such as Big O, Big θ, and Big Ω notation. Along with the examples of complexity in a different algorithm.
Saneep Khatri
21 августа 2018 г.
Remote Python and R in SQL
Learn how to remotely send R and Python execution to a SQL Server from Jupyter Notebooks.
Kyle Weller
17 августа 2018 г.
Dash for Beginners
Learn how to build dashboards in Python using Dash.
Derrick Mwiti
16 августа 2018 г.
Hyperparameter Optimization in Machine Learning Models
This tutorial covers what a parameter and a hyperparameter are in a machine learning model along with why it is vital in order to enhance your model’s performance.
Sayak Paul
15 августа 2018 г.
Predicting Employee Churn in Python
Analyze employee churn. Find out why employees are leaving the company, and learn to predict who will leave the company.
Avinash Navlani
14 августа 2018 г.
Python IF, ELIF, and ELSE Statements
In this tutorial, you will learn exclusively about Python if else statements.
Sejal Jaiswal
8 августа 2018 г.
MeetUp API
In this tutorial, you’ll learn how to pull data directly from MeetUp’s API using Python and write it into a JSON.
Keith Singleton
7 августа 2018 г.
Image Super-Resolution using Multi-Decoder Framework Tutorial
In this tutorial, you’ll implement a medical imaging using deep learning paper with Python in Keras.
Aditya Sharma
6 августа 2018 г.
DBSCAN: A Macroscopic Investigation in Python
Cluster analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, or various other applications.
Sayak Paul
3 августа 2018 г.
K-Nearest Neighbors (KNN) Classification with scikit-learn
This article covers how and when to use k-nearest neighbors classification with scikit-learn. Focusing on concepts, workflow, and examples. We also cover distance metrics and how to select the best value for k using cross-validation.
Adam Shafi
20 февраля 2023 г.