Pandas_exercises
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pandas_exercises | 9,277 | a month ago | 30 | bsd-3-clause | Jupyter Notebook | |||||
| Practice your pandas skills! | ||||||||||
| Artificial Intelligence Deep Learning Machine Learning Tutorials | 3,436 | 4 months ago | 152 | other | Python | |||||
| A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more. | ||||||||||
| 30 Days Of Python | 1,926 | 10 months ago | 89 | mit | HTML | |||||
| Learn Python for the next 30 (or so) Days. | ||||||||||
| Pandas Videos | 1,808 | a year ago | Jupyter Notebook | |||||||
| Jupyter notebook and datasets from the pandas Q&A video series | ||||||||||
| Statistical Analysis Python Tutorial | 1,233 | 8 years ago | 1 | HTML | ||||||
| Statistical Data Analysis in Python | ||||||||||
| Pycon Pandas Tutorial | 986 | 4 months ago | 3 | mit | Jupyter Notebook | |||||
| PyCon 2015 Pandas tutorial materials | ||||||||||
| Deep Learning Wizard | 656 | 2 days ago | 1 | mit | HTML | |||||
| Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more. | ||||||||||
| Financial Analysis Python Tutorial | 507 | 10 years ago | ||||||||
| Financial Analysis in Python tutorial | ||||||||||
| Plotlydash Flask Tutorial | 466 | a month ago | 22 | Less | ||||||
| 📊📉 Embed Plotly Dash into your Flask applications. | ||||||||||
| Pycon 2016 Tutorial | 410 | 2 years ago | 1 | Jupyter Notebook | ||||||
| Machine Learning with Text in scikit-learn | ||||||||||
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 |
Getting and knowing
Chipotle
Occupation
World Food Facts
Filtering and Sorting
Chipotle
Euro12
Fictional Army
Grouping
Alcohol Consumption
Occupation
Regiment
Apply
Students Alcohol Consumption
US_Crime_Rates
Merge
Auto_MPG
Fictitious Names
House Market
Stats
Visualization
Chipotle
Titanic Disaster
Scores
Online Retail
Tips
Creating Series and DataFrames
Time Series
Apple_Stock
Getting_Financial_Data
Investor_Flow_of_Funds_US
Deleting
Video Solutions
Video tutorials of data scientists working through the above exercises:
