PANDAS PYTHON Tutoriel Français - Time Series (18/30)

PANDAS PYTHON Tutoriel Français - Time Series (18/30)

by Guillaume Saint-Cirgue

Formal & Physical Sciences Computing & Cybersecurity UNDatabasesUNFData mining
🎙 Guillaume Saint-Cirgue 👥 204K 📅 October 10, 2019 ⏱ 25 min 👁 176K 📄 tutorial 🧭 2026-08-17
Available in: English (current) Français

Keywords

pandastime seriesresamplerollingewm

Summary

This tutorial, part of a series on Python for machine learning, focuses on time series analysis using the pandas library. The instructor, Guillaume Saint-Cirgue, demonstrates key functions for handling time-indexed data, including DateTimeIndex, resample, rolling, ewm, merge, and corr. The tutorial uses real-world data of Bitcoin and Ethereum prices downloaded from Yahoo Finance. It covers how to set a date index, perform time-based indexing and slicing, resample data to different frequencies (e.g., monthly, weekly), compute moving averages and exponential weighted moving averages, merge datasets, and calculate correlations. The video also includes an exercise on a trading strategy (the turtle strategy) and a bonus section on mapping and encoding categorical variables. The tutorial is practical, with code examples and visualizations, and aims to make time series analysis accessible to French-speaking learners.

130 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides high practical value by demonstrating pandas functions on real financial data, which helps learners understand the application of time series analysis. The argumentation is clear and logical, progressing from basic index handling to more advanced operations like resampling and rolling windows. The instructor explains the rationale behind each function and shows how to visualize results. The tutorial is well-paced and includes an exercise to reinforce learning. The use of Bitcoin and Ethereum data makes the content engaging and relevant.

91 words

Title / Content Match

The title accurately reflects the content: a French tutorial on pandas time series analysis, part of a series.

Quality & Reliability

8/10

The tutorial is well-structured, uses real-world data (Bitcoin and Ethereum) from Yahoo Finance, and demonstrates practical pandas functions. The author is an experienced data scientist, and the content is clear and accurate. However, it is a tutorial, not a peer-reviewed source, and some advanced topics are simplified.

Chapters

Cited Sources

Concurring Sources

  • pandas documentation — Official pandas documentation, which aligns with the functions demonstrated.

Contribution & Novelties

The tutorial provides a clear and practical introduction to time series analysis with pandas, using real-world cryptocurrency data. It covers essential functions and techniques, making it a valuable resource for beginners. The exercise on the turtle trading strategy adds an engaging element, though the instructor appropriately warns against using it for actual trading.

Pour aller plus loin :

91 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical level, indicating a well-balanced tutorial that is both informative and accessible.

Reliability 8/10

💬 Très positif. Sur les 30 commentaires analysés, tous expriment une grande appréciation pour la clarté et la pédagogie de l'instructeur, avec des éloges répétés sur la qualité de l'enseignement.