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Pandas Exercises

Fed up with a ton of tutorials but no easy way to find exercises I decided to create a repo just with exercises to practice pandas. Don't get me wrong, tutorials are great resources, but to learn is to do. So unless you practice you won't learn.

There will be three different types of files:
      1. Exercise instructions
      2. Solutions without code
      3. Solutions with code and comments

My suggestion is that you learn a topic in a tutorial, video or documentation and then do the first exercises. Learn one more topic and do more exercises. If you are stuck, don't go directly to the solution with code files. Check the solutions only and try to get the correct answer.

Suggestions and collaborations are more than welcome.🙂 Please open an issue or make a PR indicating the exercise and your problem/solution.

Lessons

Getting and knowing Merge Time Series
Filtering and Sorting Stats Deleting
Grouping Visualization Indexing
Apply Creating Series and DataFrames Exporting

Chipotle
Occupation
World Food Facts

Chipotle
Euro12
Fictional Army

Alcohol Consumption
Occupation
Regiment

Students Alcohol Consumption
US_Crime_Rates

Auto_MPG
Fictitious Names
House Market

US_Baby_Names
Wind_Stats

Chipotle
Titanic Disaster
Scores
Online Retail
Tips

Pokemon

Apple_Stock
Getting_Financial_Data
Investor_Flow_of_Funds_US

Iris
Wine

Video Solutions

Video tutorials of data scientists working through the above exercises:

Data Talks - Pandas Learning By Doing

Maryse MULLER's Projects

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Mes decks Anki personnels (principalement DataScience) pour l'apprentissage continu.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

oc_ds_project2 icon oc_ds_project2

Analyse de données de systèmes éducatifs (OpenClassrooms | Data Scientist | Projet2)

oc_ds_project3 icon oc_ds_project3

Conception d'une application au service de la santé publique (OpenClassrooms | Data Scientist | Projet 3)

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Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)

oc_ds_project5 icon oc_ds_project5

Segmentation des clients d'un site e-commerce (OpenClassrooms | Data Scientist | Projet 5)

oc_ds_project6 icon oc_ds_project6

Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)

oc_ds_project7 icon oc_ds_project7

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

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Déploiement d'une API Flask du modèle de classification déployée sur Heroku (OpenClassrooms | Data Scientist | Projet 7)

oc_ds_project8 icon oc_ds_project8

Concevoir et déployer une architecture Big Data sur AWS (OpenClassrooms | Data Scientist | Projet 8)

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Création d'une page html donnant la recette du Thiéboudiène avec des styles dans un fichier css.

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