वर्ग
प्रौद्योगिकियाँ
Python ट्यूटोरियल
Python प्रोग्रामिंग से जुड़ी ताज़ा खबरों, तकनीकों और संसाधनों से अपडेट रहें। हमारे ट्यूटोरियल्स व्यावहारिक चरण-दर-चरण मार्गदर्शिकाओं और उपयोग मामलों से भरे हैं, जिनसे आप अपनी स्किल बढ़ा सकते हैं।
अन्य प्रौद्योगिकियाँ:
दो या दो से अधिक लोगों को प्रशिक्षण देना?DataCamp for Business को आज़माएँ
Groupby, split-apply-combine and pandas
In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Hugo Bowne-Anderson
26 सितंबर 2017
Poker Probability and Statistics with Python
Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
Daniel Poston
21 सितंबर 2017
Graph Optimization with NetworkX in Python
This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
Andrew Brooks
12 सितंबर 2017
Detecting Fake News with Scikit-Learn
This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
Katharine Jarmul
24 अगस्त 2017
Python Seaborn Tutorial: A Guide to Statistical Data Visualization
Master statistical data visualization in Python using Seaborn with hands-on examples and best practices.
Moez Ali
22 मई 2026
Apache Spark Tutorial: ML with PySpark
Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
Karlijn Willems
28 जुलाई 2017
Scikit-Learn Tutorial: Baseball Analytics Pt 2
A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
Daniel Poston
20 जून 2017
5 Tips to Write Idiomatic Pandas Code
This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.
DataCamp Team
26 जून 2025
Asyncio: An Introduction
A short introduction to asynchronous I/O with the asyncio package.
DataCamp Team
8 मई 2017
Scikit-Learn Tutorial: Baseball Analytics Pt 1
A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
Daniel Poston
4 मई 2017
Viewing 3D Volumetric Data With Matplotlib
In this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI dataset.
Juan Nunez-Iglesias
19 अप्रैल 2017
Exploratory Data Analysis of Craft Beers: Data Profiling
In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.
DataCamp Team
13 अप्रैल 2017