Philippe Ivan MBARGA’s Post

Python Day 5 Tip: Difference Between append() and extend() Both are used to add elements to a list , but they work differently! # Example list1 = [1, 2, 3] list1.append([4, 5]) print(list1) #output is [1, 2, 3, [4, 5]] list1 = [1, 2, 3] list1.extend([4, 5]) print(list1) #output is [1, 2, 3, 4, 5] 1) append() adds the entire object as a single element. 2) extend() adds each element from the iterable individually. Tip: Use append() for single items and extend() for adding multiple items at once. #Python #30DaysOfpythonCode #PythonTips #Coding #FullStackDeveloper #LearnPython #PythonLearning

Python programm to reverse number using class as below: #Defining python class class Number_Reverse: # Initializing the number in class object     def __init__(self, num):         self.num = num # define class method to perfor reverse the number      def reverse_num(self):         return int(str(self.num)[::-1]) # Creating class object and calling reverse_num method if __name__ == "__main__":     num = 123456789 # Defining the class object     t = Number_Reverse(num)     print(t.reverse_num())

Python trick: safe thread termination through an Event flag Many people simply set daemon=True and hope everything stops on its own. But that breaks control and can lead to leaks. A simpler and more reliable way is to use a shared Event to notify threads about shutdown. to learn more check python docs https://lnkd.in/eSxZ3Tds Want to discover python stuff like this, let connected 👨💻 #Python #Threading #Event

Python finally supports native max heap operations! Python 3.14 has added : heapify_max() heappush_max() heappop_max() heapreplace_max() heappushpop_max() No more multiplying values by -1 before adding/popping from heap as a workaround! Yayyy!! #Python314 #MaxHeapUnlocked #NoMoreMinusSigns #ByeByeNegativeOneHack #SWEJoy #InternationalStudent

File handling in python Day 46 – Reading a File in Python Most data you’ll ever process lives in files — text, CSVs, logs, configs, you name it. Let’s start with reading a file 👇 # sample.txt content: # Hello Python Learner! file = open("sample.txt", "r") content = file.read() print(content) file.close() 🧠 Output: Hello Python Learner! ✅ Tip: Always close your file after reading to free up system resources. (Or better yet, use with open() — coming next!) 👉 Have you ever tried reading a large file in Python? #Python #FileHandling #100DaysOfCode #Learning

Ever built APIs with nested JSON and endless if checks? Let Pydantic handle it automatically. Nested data validated, types converted, no manual checks. Learn more in "Practical Pydantic", now 50% off → https://lnkd.in/eGiB7ZxU #Python #Pydantic #CleanCode

#Python tip of the day Got a slow import? You can trace it with the "importtime" module[1] (batteries included) and visualize those results with a project by kmichel[2]. For instance, I was curious about import times for #cvxpy. [1]: python -X importtime $MODULE 2> importtime.txt [2]: https://lnkd.in/dB4dcz-p

Python tip - Day 8 of #30DaysOfPythoncode — Ternary Operator in Python The ternary operator lets you write an if-else statement in a single line perfect for short, simple conditions. Example: age = 18 message = "Eligible to vote" if age >= 18 else "Not eligible" print(message) Output: Eligible to vote Why use it? 1) Makes your code cleaner and more readable 2) Ideal for quick conditional assignments 3) Commonly used in list comprehensions or lambda functions. Simplify your if-else logic using the Ternary Operator "X if condition else Y" — One line that saves time and makes your code look elegant! #Python #PythonTips #Coding #LearnPython #30DaysOfpythonCode

PYTHON JOURNEY..Day - 9/50 TOPIC : Logical Operators in Python Logical operators are used to combine conditional statements and make smarter decisions in our code. There are 3 Logical Operators: 1. and → Returns True if both conditions are true 2. or → Returns True if any one condition is true 3. not → Reverses the result (True → False, False → True) Example: a = 10 b = 5 c = 15 # AND operator print(a > b and a < c) # True # OR operator print(a > b or a > c) # True # NOT operator print(not(a > b)) # False Output: True True False Quick Tip: Use logical operators to combine multiple conditions in loops or if-statements — they make your code cleaner and smarter! --- #Python #50DaysOfCode #PythonLearning #LogicalOperators #LearnPython #LinkedInLearning

🚀 The `__all__` Variable in Modules and Packages (Python) The `__all__` variable is a list of strings defining the public names of a module or package. When `from module import *` is used, only the names listed in `__all__` are imported. If `__all__` is not defined, all names that do not begin with an underscore are imported. It provides explicit control over the module's public API. #Python #PythonDev #DataScience #WebDev #professional #career #development