Python PDF Management Tutorial

🐍 90 Days of Python – Day 19 List Comprehensions Today, I learned about list comprehensions in Python, a more concise and Pythonic way to create lists. List comprehensions help combine loops, conditions, and expressions into a single readable line, making code cleaner and easier to understand. 🔹 Key things I learned today: • Basic syntax of list comprehensions • Creating lists using expressions • Adding conditional logic inside comprehensions • Replacing simple for loops with more compact code List comprehensions are especially useful in data processing and transformations, where readability and efficiency matter. I’m practicing these concepts to write cleaner and more expressive Python code. 📌 Day 19 completed. Writing more Pythonic code with list comprehensions. 👉 Do you prefer list comprehensions or traditional for loops, and why? #90DaysOfPython #PythonLearning #LearningInPublic #ListComprehension #PythonDeveloper #BTechCSE

🐍📰 Understanding the Python Traceback In this tutorial, you'll learn how to read and understand the information you can get from a Python traceback. You'll walk through several examples and see some of the most common tracebacks in Python #python

In my first blog, I discuss the 5 (+2) steps of creating graphical user interface (GUI) applications using Python's FreeSimpleGUI library, which will allow us to elevate the creation of engineering templates beyond spreadsheets. While this requires a working knowledge of Python, hopefully everyone who are not that familiar with the programming language can benefit from this as well. The source code for the example in this post can be found toward the end, which you can download to modify, add new features, and customize to your liking. Enjoy! 😁 https://lnkd.in/gVGAA9fg

🐍 Python — cheat sheets that save you when your brain is tired 🧩 DevHints — Python Cheat Sheet Concise and straight to the point: syntax basics, data types, loops, functions, modules, and file handling. A great option to quickly refresh the fundamentals or peek at an example right during development. 📘 Cheatography: Python Cheatsheet One of the most well-known Python cheat sheets — well-structured by topics, from strings and lists to exceptions and modules. Perfect even for beginners — everything is explained simply and clearly. ⚙️ Python Quick Reference — Learn X in Y Minutes A compact “everything in one place” format. One quick look — and the whole syntax is back in your head. Ideal for returning to Python after a break. 🧠 Real Python Cheat Sheets PDF cheat sheets from Real Python with clean design and code examples. You can choose specific topics: OOP, pandas, virtualenv, comprehensions, async/await, and much more. #IT #programming #itcompany

If you’re learning Python, here’s advice I wish someone gave me earlier: Really understand variable scope. I put together a simple, practical guide to help. https://lnkd.in/djp6HJdD #PythonTips #Developers #Variable #Scope #Python

🟢 DAY 9: List Methods in Python 📋🐍 Today I learned that Python gives us built-in tools to work with lists easily — called list methods 🛠️ They help us add, remove, count, and organize data without writing complex code. 👇 Examples in the image ➕ append() → adds an item to the list ❌ remove() → removes an item 🔢 len() → counts items 🔁 sort() → arranges items 💡 These small methods are used everywhere — from simple programs to real-world applications. Learning basics slowly, one day at a time 🌱 💬 Comment LIST if you’re learning Python 📌 Save this post for revision 👉 Follow for Day 10 🚀 #Python #PythonBasics #LearningInPublic #CodingJourney #BeginnerFriendly

🐍 90 Days of Python – Day 12 Today, I learned about modules and imports in Python, which help in organizing code and reusing functionality efficiently. As programs grow, writing everything in a single file becomes hard to manage. Modules allow us to split code into logical parts and reuse them whenever needed. Key concepts I explored today: • What a module is in Python • Using import to access built-in and custom modules • Importing specific functions using from ... import • Understanding why modular code is easier to maintain Modules encourage clean, structured, and reusable code, which is essential for real-world applications. I’m practicing these concepts to write more organized programs and avoid unnecessary repetition. 📌 Day 12 completed. Writing modular and reusable code. 👉 Which Python module do you use most often in your projects? #90DaysOfPython #PythonLearning #LearningInPublic #ProgrammingBasics #BTechCSE #MachineLearning

https://lnkd.in/e73QC5-9 FST fst Version 0.2.5 Overview This module exists in order to facilitate quick and easy high level editing of Python source in the form of an AST tree while preserving formatting. It is meant to allow you to change Python code functionality while not having to deal with the details of: Operator precedence and parentheses Indentation and line continuations Commas, semicolons, and tuple edge cases Comments and docstrings Various Python version-specific syntax quirks Lots more...

What are the 33 words in Python? I thought Python was simple—until I learned this A lot of beginners ask: “Are there really only 33 words in Python?” Yes — Python has a small set of reserved keywords you can’t use as variable names. Here’s the simple way to remember them 👇 💡 Logic & flow: if, else, elif, for, while, break, continue 💡 Functions & classes: def, return, class, lambda 💡 Truth & logic: True, False, and, or, not, is 💡 Exceptions & context: try, except, finally, raise, with 💡 Misc essentials: import, from, as, pass, None, global, nonlocal, assert, del, yield That’s it. Master these—and Python suddenly feels way less scary. 🐍 Comment “Python” and I’ll DM you a beginner cheat sheet. #Python #LearnToCode #TechCareers #ProgrammingBasics #LinkedInLearning

🚀 Advanced Python Tips #4: print() Tricks and tips you may not know, and that are rarely taught in Python courses. Most developers think they know print(), but surprisingly few have actually read its documentation. The print function receives any number of objects via *args and converts them to strings. What many people don’t know is that it also supports useful keyword arguments: - sep – separator between objects - end – what is printed after the last object - file – where the output is written (default is stdout) - flush – forces the output buffer to flush immediately By default, Python uses a space (" ") as sep and a newline ("\n") as end. But using end=", " inside a loop can save you from generating huge, hard-to-read log files. Small details like this can make debugging and logging much cleaner. Did you know you could prevent print() from breaking the line?