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Arpit Bhayani

Temporal Primer - Building Long-Running Systems What Matters in Production RAG Structure of Every LLM Chat How LLMs Really Work Your Monolith Is Already A Distributed System Databases Were Not Designed For This BM25 JOIN Algorithms Venting at Work Comes at a Reputation Cost Why Half Your Skills Expire Every Few Years Multi-Paxos - Consensus in Distributed Databases MySQL Replication Internals Bloom Filters When You Increase Kafka Partitions Product Quantization The Q, K, V Matrices The Day I Accidentally Deleted Production How LLM Inference Works What are Blocking Queues and Why We Need Them Heartbeats in Distributed Systems How Writes Work in Apache Cassandra Redis Replication Internals How to Handle Arrogant Colleagues at Work How Does a CDN Handle Content Replication You Can't Fix Everything on Day One When Emotions Spill Over at Work Why gRPC Uses HTTP2 Meetings With No Agenda Are a Waste of Time Career Longevity Beats Constant Job Hopping Stay Relevant at Higher Salary Levels Why Distributed Systems Need Consensus Algorithms Like Raft Why Do Databases Deadlock and How Do They Resolve It Why and How Cache Locality Can Make Your Code Faster Why Eventual Consistency is Preferred in Distributed Systems Why does DNS use both UDP and TCP Should You Do a Master's My Honest Take Empathy Makes Great Engineers Unstoppable Good Mentors Build People, Not Just Skills Why You Should Always Have Back-Burner Projects Before You Push Back, Know What You're Standing On Be the One They Can Count On How Much Are People Willing to Bet on You How to Get Leadership to Say Yes to Your Project Don't Let Your Best Ideas Die in Silence Be the Person Everyone Wants to Work With The XY Problem and How to Avoid It The Startup Hiring Lie Nobody Talks About You Won't Be Promoted Unless You Ask It's Not Enough to be Right; Learn to be Heard No One Ships Great Software Alone You Don't Win by Proving Others Wrong Appreciate Generously; It Costs Nothing, But Builds Everything Your Soft Skills Aren't Soft at All Before you form an opinion, experience it Why You Need Both Curiosity and Action to Thrive A Daily Worklog Changed Everything How We Handle Mistakes Defines Us Own Your Mistakes Don't Wait. Step Up. Temporary Fixes Are Permanent Why Interviews Are Biased And What Sets You Apart Saying 'This isn't my problem' is actually the problem How to Write Effective OKRs Never Lose a Battle due to Miscommunication When In Doubt, Code It Out How to Follow Up Without Annoying People Lead Projects That Land, Execution Over Everything Abstract Thinking Will Define Your Next Decade We Engineers Suck at Task Estimation Shiny Obect Syndrome in Tech When to Change Jobs - The 3P Framework Comfort and Competition - Know When to Switch Gears Paper Notes - On-demand Container Loading in AWS Lambda Paper Notes - SQL Has Problems. We Can Fix Them Pipe Syntax In SQL Paper Notes - NanoLog - A Nanosecond Scale Logging System Don't Wait, Learn - The Best Resource is Mythical Paper Notes - WTF - The Who to Follow Service at Twitter The Unexpected Benefit of Reading Random Engineering Articles Roadmaps Are Limiting Your Growth Stop Leaving Money on the Table - Negotiate Your Job Offer Never Bad-Mouth Your Past Employers Show You're a Culture Fit Quantify your resume, Know Your Numbers The Importance of Being Likeable in Interviews Questions to Ask Your Interviewer How to Build Trust Through Collaboration Do This, Once You Are Out of the Interview Cycle Stop Pitching Ideas, Start Pitching Projects Read Those Design Docs, Even the Ones That Seem Irrelevant The Best Engineering Lessons Happen During Outages Great Engineers Start Broad LLM Summaries are Ruining Your Learning Turn System Design Interviews into Discussions Title Inflation At Work, Find Your Own Projects 6 Simple Strategies to Cracking Any Tech Interview How to Remain Unblocked Solving the Knapsack Problem with Evolutionary Algorithms Generating Pseudorandom Numbers with LFSR Local vs Global Indexes in Partitioned Databases
Python Prompt Strings
Arpit Bhayani · 2020-02-21 · via Arpit Bhayani

The >>> we see when the Python interactive shell starts, is called the Prompt String. Usually, the prompt string suggests that the interactive shell is now ready to take new commands.

Python 2.7.10 (default, Feb 22 2019, 21:55:15)
[GCC 4.2.1 Compatible Apple LLVM 10.0.1 (clang-1001.0.37.14)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>

Python has 2 prompt strings, one primary >>> and one secondary ... which we usually see when an execution unit (statement) spans multiline, for example: while defining a function

>>> def foo(a, b):
...     return a + b
...
>>>

Personalizing the prompt strings

The prompt strings are defined in the sys module as ps1 and ps2 and just like any other attribute we can change the values of sys.ps1 and sys.ps2 and the changes take effect immediately and as a result, the prompt we see in the shell changes to the new value.

>>> import sys
>>> sys.ps1 = '::: '
:::

From the example above we see that changing the value of sys.ps1 to ::: changes the prompt to ::: .

As the interactive shell runs in a terminal, we can color and format it using bash color format as shown below

import sys
sys.ps1 = "\033[1;33m>>>\033[0m "
sys.ps2 = "\033[1;34m...\033[0m "

The code snippet above makes our primary prompt string yellow and secondary prompt string blue. Here’s how it looks

Python colored prompt

Dynamic prompt strings

The documentation states that if we assign a non-string object to ps1 or ps2 then Python prompts by calling str() on the object every time a prompt is shown. Now we create some stateful and dynamic prompt by defining a class and overriding the __str__ method.

Below we implement IPython like prompt where execution statement number is stored in member line of the class and is incremented every time the primary prompt renders.

# -*- coding: utf-8 -*-
import sys

class IPythonPromptPS1(object):
  def __init__(self):
    self.line = 0

  def __str__(self):
    self.line += 1
    return "\033[92mIn [%d]:\033[0m " % (self.line)

sys.ps1 = IPythonPromptPS1()
sys.ps2 = "    \033[91m...\033[0m "

The above code snippet makes prompt look like this

ipython prompt

Setting new prompt strings every time the shell starts

We would not want to run this code snippet every time we start the shell and hence we use an environment variable PYTHONSTARTUP which holds the path of a readable file and is executed before the first prompt is displayed in interactive mode.

So we dump the code snippet in a file, say ipython.py and export PYTHONSTARTUP as

export PYTHONSTARTUP="$HOME/ipython.py"

Now every time, we start our Python interactive shell, it will execute the file ipython.py and set the required prompt strings.

Conclusion

Combining everything mentioned above I have created a utility called py-prompts. Here is a glimpse of the themes that the package holds.

Pretty Python Prompts GIF

I hope you found this piece interesting. Python being an exhaustively extensible language made it super-easy for us to change the prompt strings and be creative with it. If you have a theme idea or have already personalized your prompt, share it with me @arpit_bhayani, I will be thrilled to learn more about it.