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Python – Discover Longest Line/String in File – Finxter


Coding Problem

💬 Problem: The way to Discover the Longest Line or String From a File in Python?

Given the next textual content file:

Relying on what precisely you’re on the lookout for, you wish to discover the longest string phrase (A) or the longest line (B) within the file.

with out
python
we would all need to
write 
java
code

Let’s dive into each variants subsequent.

Technique 1: Discover Longest Line in Textual content File utilizing Python

To search out the longest line in a textual content file utilizing Python, open the file utilizing the open() operate and skim the file content material in a record of traces utilizing file.readlines() operate. Then name the max(traces, key=len) operate on the record of traces utilizing the size operate as a key to search out the longest line.

Right here’s the code:

with open('my_file.txt', mode="r") as f:
    traces = f.readlines()
    longest_line = max(traces, key=len)
    print('The longest line is:', longest_line)

The output is:

The longest line is: we would all need to

You might wish to take a look at the next tutorials that can assist you perceive the fundamentals of the options used on this snippet:

Or why not open all 4 tutorials and skim them in 1 minute per tutorial? 4 minutes properly spent! 🦄

Word you’ll be able to one-linerize this utilizing the next code snippet:

print(max(open('my_file.txt').readlines(), key=len))
# we would all need to

Technique 2: Discover Longest String Phrase in a Textual content File utilizing Python

A easy and easy option to discover the longest string phrase in a textual content file is to open the file, loop over all traces utilizing file.readlines(), break up every line into a listing of phrases utilizing string.break up(), loop over this record of phrases, and maintain monitor of the longest phrase in a variable.

Right here’s the Python snippet that finds the longest phrase in a textual content file:

with open('my_file.txt', 'r') as f:
    longest_word = ''
    for line in f.readlines():
        for phrase in line.break up():
            if len(phrase)>len(longest_word):
                longest_word = phrase
    print('The longest phrase within the file is:', longest_word)

Right here’s the right output, i.e., the longest phrase within the textual content:

The longest phrase within the file is: with out

Word, you can too one-linerize this utilizing the next method of mixing record comprehension and the max() operate:

longest = max([word for line in open('my_file.txt').readlines() for word in line.split()], key=len)

The end result is identical:

print('The longest phrase within the file is:', longest)
# The longest phrase within the file is: with out

In case you’re confused by the one-liner answer, no worries. First take a look on the record comprehension tutorial.

👉 Really helpful Tutorial: A Easy Information to Python’s Record Comprehension

Second, you might also wish to take a look at my e-book on the subject that may make you a one-liner wiz:

Python One-Liners Ebook: Grasp the Single Line First!

Python programmers will enhance their pc science abilities with these helpful one-liners.

Python One-Liners

Python One-Liners will train you tips on how to learn and write “one-liners”: concise statements of helpful performance packed right into a single line of code. You’ll discover ways to systematically unpack and perceive any line of Python code, and write eloquent, powerfully compressed Python like an knowledgeable.

The e-book’s 5 chapters cowl (1) suggestions and methods, (2) common expressions, (3) machine studying, (4) core information science matters, and (5) helpful algorithms.

Detailed explanations of one-liners introduce key pc science ideas and enhance your coding and analytical abilities. You’ll find out about superior Python options comparable to record comprehension, slicing, lambda features, common expressions, map and scale back features, and slice assignments.

You’ll additionally discover ways to:

  • Leverage information buildings to clear up real-world issues, like utilizing Boolean indexing to search out cities with above-average air pollution
  • Use NumPy fundamentals comparable to array, form, axis, kind, broadcasting, superior indexing, slicing, sorting, looking, aggregating, and statistics
  • Calculate primary statistics of multidimensional information arrays and the Ok-Means algorithms for unsupervised studying
  • Create extra superior common expressions utilizing grouping and named teams, unfavorable lookaheads, escaped characters, whitespaces, character units (and unfavorable characters units), and grasping/nongreedy operators
  • Perceive a variety of pc science matters, together with anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, looking, and algorithmic sorting

By the tip of the e-book, you’ll know tips on how to write Python at its most refined, and create concise, stunning items of “Python artwork” in merely a single line.

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