Python program to read and print PDF text and tables

🐍📰 How to Use Loguru for Simpler Python Logging In this tutorial, you'll learn how to use Loguru to quickly implement better logging in your Python applications. #python

Indexing and splitting strings in Python 🐍 How to solve the Python string slicing problem Step 1: Understand string slicing In Python, the slice operator [:] is used to get a substring from a string. The syntax is str[start:end], where the substring starts at the start index and ends before the end index. Step 2: Apply the slicing to the problem The problem asks for the result of str[1:3] on the string str = "anne". The start index is 1. The end index is 3. The slice will include the character at index 1 and the character at index 2, but it will not include the character at index 3. Step 3: Determine the characters The character at index 1 is 'n'. The character at index 2 is 'n'. The character at index 3 is 'e', but it is not included in the slice. The substring is formed by the characters at indices 1 and 2. Answer: The result of str[1:3] is 'nn'.

🐍📰 Python's Instance, Class, and Static Methods Demystified This tutorial helps demystify what's behind class, static, and instance methods in Python. #python

Python finally supports native max heap operations! Python 3.14 added the following methods to the heapq module: - heapify_max() - heappush_max() - heappop_max() - heapreplace_max() - heappushpop_max() Before this, we had to negate values when pushing and popping from a heap, as a workaround to simulate a max heap (using a min heap). Idk why this took so long, but it's a pleasant surprise. And frankly, it's another reason why Python is the obvious choice for readability in coding interviews. We also added Python 3.14 support to neetcode.io courtesy of Judge0 If you're still not using Python, what is you doing.

Python 3.14 Preview: Better Syntax Error Messages – Real Python Python 3.14 introduces ten improvements to error messages that make debugging more intuitive. The enhancements provide specific guidance for common mistakes including keyword typos, misplaced elif blocks, conditional expression errors, string closure issues, incompatible string prefixes, unpacking mismatches, invalid import targets, unhashable type usage, math domain violations, and async context manager confusion. Each improved message follows a pattern of identifying the mistake, explaining the issue clearly, and suggesting likely fixes.

Python Starters Daily Nugget LOOPS, in addition to LISTS, is equal to POWER Combining loops with lists works like magic. For example: for x in [1, 2, 3]:   print(x ** 2) Then learn list comprehensions: [x**2 for x in range(5)] It is elegant Python shorthand that feels good to write. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq

Some common string functions in Python: 1. len(): Returns the length of a string. 2. lower(): Converts a string to lowercase. 3. Some common string functions in Python: 4. strip(): Removes leading and trailing whitespace. 5. split(): Splits a string into a list of substrings. 6. join(): Concatenates a list of strings into a single string. 7. find() : Returns the index of the first occurrence of a substring. 8. replace(): Replaces occurrences of a substring with another string. 9. startswith(): Checks if a string starts with a specified substring. 10. endswith(): if a string ends with a specified substring. Example: variable = "Hello, World!"