Difference between python --version and python -v. These two commands have completely different purposes: python --version Shows the Python interpreter's version number Example output: Python 3.9.7 This is the standard way to check which version of Python you're running It's equivalent to python -V (capital V) python -v Activates verbose...
For Jupyter Notebooks, the modern approach is: %pip install such as %pip install ShopifyAPI. %pip is a magic command The `%pip is called a "magic command" and it is preferred over `!pip` because it ensures the package is installed in the same Python environment that the kernel is using. But...
How to leverage Python to fill-out the missing dates on a file? Let's see that together!
Not so long ago, I faced an issue while wanted to test a colleague idea: how can we test on which links user are more willing to click. TL;DR If my article is too long, these are the steps: Define the scope Extract or get the HTML content Split your group...
To save a .parquet file with Python, you can use the pandas library, which provides a convenient way to read and write data in a variety of formats, including Parquet. Let me share with you an example: ```Python import pandas as pd create a sample DataFrame data = {'name': ['Alice',...
While reviewing code from a colleague, I came across a -> pd.DataFrame in a Python function. I discovered that this indicates that the function is expected to return a pandas DataFrame.
div> I was recently introduced to .parquet extension files. Let me share with you what I learned! Parquet files are popular for storing and processing large datasets in big data environments. Introduction: a few words about the .parquet Parquet file is a columnar storage file format that is commonly used...
Welcome to AC Consulting, a unique platform where technology meets innovation. AC Consulting is not just a business; it's a passion project, a side hustle, and a tech playground for Arthur Camberlein.
Might be a simple trick, but wanted to share something I am using on a regular basis: unique URL per column on a dataframe and how to export it! I will use pandas so start by importing the libraryimport pandas as pd I am labelling this as Python SEO as...
To read a .parquet file with Python, the pandas library is your friend. In fact, pandas provides a convenient way to read and write data in a variety of formats (you might be familiar with CSV or XLS[X] files), including Parquet.
Another Python and Data post today for you, by me, with the help of what I read on Twitter ... and used. Now it's time to share it with you too!
Let me show you how to make your Streamlit App shine on the Internet!
This import will work if you are using any version of Python (meaning Python 2 or Python 3). How to import a library To import a library, you will have to use import + {the name of your library}. So you could do this to import libraries one by one:...
Si vous aimez les Notebook (comme Google Colab ou Jupyter Notebook), vous allez aimer cette astuce pour importer un ou plusieurs fichiers grâce à une fonction. Une fonction, qui crée un bon moyen d'importer les fichiers Vous trouverez ci-dessous la fameuse fonction et ensuite, vous n'aurez plus qu'a cliquer sur...
Rechercher et supprimer des colonnes vides dans le dataframe grâce/via Pandas en Python. # Find the columns where each value is null cols_vides = [col for col in df.columns if df[col].isnull().all()] # Drop these columns from the dataframe df.drop(cols_vides, axis=1, inplace=True) Trouver les columns avec des valeurs 'null' cols_vides =...
Une astuce bien pratique aujourd'hui et cela même si vous utilisez déjà pandas ou numpy : créer des tableaux enrichis sur le Notbook de Google. Ces astuces et Notebook sont principalement utilisables pour Python -- Même si vous pouvez lancer des Notebook pour des scripts R. Comment faire pour avoir...
Connaître (et afficher) toutes les colonnes d'un dataframe en Python Pré-requis Nous allons une nouvelle fois utiliser la librairie (non moins fameuse) pandas utilisée en Python. Pour l'installation vous avez les solutions ci-dessous: pour Python pip install pandas pour Python 3 pip3 install pandas Vous n'aurez qu'à installer une seule...
import difflib import pandas as pd from datetime import date date = date.today() today = date.strftime("%Y-%m-%d") document = today + "-diff" document_txt = "data/" + document + ".txt" document_csv = "data/" + document + ".csv" with open('robots-live.txt') as robots_live, open('robots-staging2.txt') as robots_staging: diff = difflib.unified_diff( robots_live.readlines(), robots_staging.readlines(), fromfile='robots-live.txt', tofile='robots-staging.txt', )...
<p>Alors ce n'est pas moi qui est créé la structure du cours ou de ce point, c'est sur Open Classroom <a href="https://openclassrooms.com/en/courses/4262331-demarrez-votre-projet-avec-python/">https://openclassrooms.com/en/courses/4262331-demarrez-votre-projet-avec-python/</a>, tous droits réservés donc à Open Classroom. Et pourquoi 101, parce que je reprends les bases (en vrai et dans cet article) grâce à ce cours, j'apprends...