pandas_exercises
100-pandas-puzzles
pandas_exercises | 100-pandas-puzzles | |
---|---|---|
10 | 6 | |
10,214 | 2,209 | |
- | - | |
0.0 | 0.0 | |
about 1 month ago | 7 days ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pandas_exercises
-
Does CS 1301 cover topics like NumPy and pandas?
pandas notebook
-
Any advice on using Pandas as a data analyst?
Personally, practiced the exercises present in this github repo, it was very helpful. https://github.com/guipsamora/pandas_exercises
- Pandas Exercises to Learn by Doing
-
How to improve machine learning programming skills?
Check this out for practicing Pandas using specific exercises: https://github.com/guipsamora/pandas_exercises
-
[NBS Accountancy] Ranking and Tiering every core modules with description)! Hope this will be fun read for the current/past Accountancy students, and helpful for incoming batch of Accountancy students :))
Tips: For quiz 1, I used this whereas for quiz 2, I used this to revise. I cannot conclude whether they really helped in the end since the quiz results aren't released, but managed to nab an A for this mod so there's that.
- Looking for Pandas course in Jupyter Notebook so I can learn both at the same time
-
Using mean on numeric columns of a GroupedDataFrame
I am trying to solve the exercises in the excellent guipsamora/pandas_exercises repo using DataFrames.jl and other Julia tools. A question in the repo is something like this
- Associate Data Scientist @ IBM?
-
PySpark exercises for practice?
Are there some PySpark exercises available on GitHub for practice? I am looking for something like this pandas exercises collection - https://github.com/guipsamora/pandas_exercises
-
Python Intermediate-advanced tests
Pandas Exercises Github
100-pandas-puzzles
-
What are the best Python libraries to learn for beginners?
#1: Welcome to df[pandas]! #2: 100 data puzzles for pandas, ranging from short and simple to super tricky | 3 comments #3: Happy Halloween, Pandas! 🎃🤓 | 0 comments
- 100 data puzzles for pandas, ranging from short and simple to super tricky
-
pandas practice resources?
I remember someone sharing this with me earlier: https://github.com/ajcr/100-pandas-puzzles Let me know if you think it's comprehensive and a good resource.
-
how important are learning the data manipulation libraries?
If you want to get better with pandas specifically you could work through the 100 pandas puzzles repo in your spare time, https://github.com/ajcr/100-pandas-puzzles
- Can anyone recommend resources to prepare for Pandas and Numpy interview questions?
- Is there anything AoC-like for Machine Learning or Data Science?
What are some alternatives?
100-plus-Python-programming-exercises-extended - The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
numpy-100 - 100 numpy exercises (with solutions)
qs_ledger - Quantified Self Personal Data Aggregator and Data Analysis
tempo - API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
pandas-cookbook - Recipes for using Python's pandas library
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
RasgoQL - Write python locally, execute SQL in your data warehouse
github_innovation_graph_analysis
tempo - Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
pyspark-tutorials - Code snippets and tutorials for working with social science data in PySpark
pyjanitor - Clean APIs for data cleaning. Python implementation of R package Janitor