• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar

Python and R Tips

Learn Data Science with Python and R

  • Home
  • Python
  • Pandas
    • Pandas 101
  • tidyverse
    • tidyverse 101
  • R
  • Linux
  • About
    • Privacy Policy

JupyterLab is Here: First Impressions

February 20, 2018 by cmdlinetips

JupyterLab

JupyterLab, the next-generation web-based user interface for Python and R from Project Jupyter. It is still a beta release, but stable for daily use. One of the cool features of JupyterLab is that it is the go to browser based app for classic Jupyter Notebook, file browser for your computer files, text editor and a […]

Filed Under: Jupyter, JupyterLab, Python Tagged With: Jupyter Notebook, JupyterLab, Python Tips

What Does *args and **kwargs Mean in Python?

February 19, 2018 by cmdlinetips

If you are new Python and saw the use of *args and **kwargs as function arguments and wondered what those *-thingies are, you are not alone. Typically when you write functions, you will have specific number and types of arguments the function can take as input. However, the more Python code you write, you might […]

Filed Under: **kwargs, *args, Python Tips, Usage of *args and **kwargs Tagged With: **kwargs, *args, How to Use *args and **kwargs

7 ways to read files with readr package in R

February 17, 2018 by cmdlinetips

read zipped file with readr

There are multiple ways read text files in rectangular, like csv file, tsv file or text file with common delimitters. readr package, part of tidyverse, offers seven functions to load flat text files easily. How to load a text file with readr package? read_csv(): to read comma delimited files read_csv2(): to read semicolon separated files […]

Filed Under: R Tips, Read CSV File in R, readr package, tidyverse Tagged With: How to Read CSV file in R, Read CSV File in R, read files with readr package

How To Randomly Select Rows in Pandas?

February 17, 2018 by cmdlinetips

Creaating unbiased training and testing data sets are key for all Machine Learning tasks. Pandas’ sample function lets you randomly sample data from Pandas data frame and help with creating unbiased sampled datasets. It is a great way to get downsampled data frame and work with it. In this post, we will learn three ways […]

Filed Under: Pandas DataFrame, Random Sampling with Pandas, random subset from pandas Tagged With: Pandas Dataframe, Python Tips, random sample from Pandas

6 ways to Sort Pandas Dataframe: Pandas Tutorial

February 13, 2018 by cmdlinetips

How to sort pandas data frame by column(s)?

Often you want to sort Pandas data frame in a specific way. Typically, one may want to sort pandas data frame based on the values of one or more columns or sort based on the values of row index or row names of pandas dataframe. Pandas data frame has two useful functions sort_values(): to sort […]

Filed Under: Data Science, Pandas DataFrame, Pandas Tutorial, Python, Python Tips, Sort Pandas Dataframe Tagged With: pandas sort by column, pandas sort by multiple columns, pandas sort by row index, pandas sort_index(), pandas sort_values(), Pandas Tutorial

  • « Go to Previous Page
  • Page 1
  • Interim pages omitted …
  • Page 56
  • Page 57
  • Page 58
  • Page 59
  • Page 60
  • Interim pages omitted …
  • Page 74
  • Go to Next Page »

Primary Sidebar

Subscribe to Python and R Tips and Learn Data Science

Learn Pandas in Python and Tidyverse in R

Tags

Altair Basic NumPy Book Review Data Science Data Science Books Data Science Resources Data Science Roundup Data Visualization Dimensionality Reduction Dropbox Dropbox Free Space Dropbox Tips Emacs Emacs Tips ggplot2 Linux Commands Linux Tips Mac Os X Tips Maximum Likelihood Estimation in R MLE in R NumPy Pandas Pandas 101 Pandas Dataframe Pandas Data Frame pandas groupby() Pandas select columns Pandas select_dtypes Python Python 3 Python Boxplot Python Tips R rstats R Tips Seaborn Seaborn Boxplot Seaborn Catplot Shell Scripting Sparse Matrix in Python tidy evaluation tidyverse tidyverse 101 Vim Vim Tips

RSS RSS

  • How to convert row names to a column in Pandas
  • How to resize an image with PyTorch
  • Fashion-MNIST data from PyTorch
  • Pandas case_when() with multiple examples
  • An Introduction to Statistical Learning: with Applications in Python Is Here
  • 10 Tips to customize ggplot2 title text
  • 8 Plot types with Matplotlib in Python
  • PCA on S&P 500 Stock Return Data
  • Linear Regression with Matrix Decomposition Methods
  • Numpy’s random choice() function

Copyright © 2026 · Lifestyle Pro on Genesis Framework · WordPress · Log in

Go to mobile version