• 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

How To Change Dropbox’s Default Directory Location?

May 6, 2012 by cmdlinetips

Dropbox

Who does not like Dropbox? Even Google wants a share of Dropbox users and finally launched Google Drive.  Dropbox gives freedom to our files from the desktop and gives life to be everywhere, on your mobile, on your tablet,  on your desktop, and in the cloud.  In MacOS X/Linux by default Dropbox creates the “Dropbox” […]

Filed Under: Dropbox, Dropbox Change Directory, Dropbox Tips, Linux Tips Tagged With: Dropbox, Dropbox Change Directory, Dropbox Tips

How to Find Where Linux/Mac OS X Commands Are Physically Located?

April 25, 2012 by cmdlinetips

If you are a beginner it is a good thing to learn about the director/file structures of Linux/Mac OS. It is even better to start learning where the actually commands are located in your machine. You may roughly know that the commands are in some “bin” directory, but not the exact location. The command “type” […]

Filed Under: linux command type, Linux Tips Tagged With: Find Command Location, Linux Command type

Understanding Variables in Shell Scripting

April 9, 2012 by cmdlinetips

A number of beautiful and powerful programming languages, like Python, Ruby, and Perl are available for scripting needs. Even then you may find the old school unix shell scripting very useful tool to learn and use. For sure, shell scripts looks crazy and hard to read/understand. Once you get a hang of it, you might […]

Filed Under: Linux Tips, Shell Scripting, Uncategorized Tagged With: Linux Tips, Shell Scripting, Variables in Shell Scripts

Mastering Lists in Python Using List Comprehensions

April 8, 2012 by cmdlinetips

Ever faced the problem of creating a unique lists in Python? or Accessing only specific elements of lists in Python? Python’s “List Comprehensions” offers you the immense power to create and use lists. Here is a brief introduction to understand and getting started on using List Comprehensions in Python. Python’s List Comprehensions Example 1 The […]

Filed Under: Python, Python List Comprehensions, Python Tips Tagged With: List Comprehensions, Python, Python Tips

Getting Started With Map, Filter, and Reduce in Python

March 9, 2012 by cmdlinetips

Python has a couple of nice built-in function in the flavor of functional programming paradigm. These built-in functions like map, filter, and apply combine very well with lambda functions. Map, filer, and reduce help you create, work with and tame lists in Python. For example sure, at some point you will have to deal with […]

Filed Under: Filter, Lambda Function, Map, Python, Python Functional Programming, Python Tips, Reduce Tagged With: Python Filter, Python Functional Programming, Python Map, Python Reduce, Python Tips

  • « Go to Previous Page
  • Page 1
  • Interim pages omitted …
  • Page 67
  • Page 68
  • Page 69
  • Page 70
  • Page 71
  • 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