Top Tweets for #90daysofpython
Day 26-27 of #90DaysOfPython:HTTP Header Analysis
HTTP headers can reveal crucial security configurations or misconfigurations that impact a website’s resilience against attacks.
What I built:
I wrote a Python script that fetches HTTP headers from a target URL.
Day 24-25: Brute Force Password Cracking
A brute force attack is a method of systematically trying every possible combination of characters until the correct password is found.
what I learned:
Using itertools to generate password combos
Hashing with hashlib to compare attempts
Day 22-23 of #90DaysOfPython: Building a Simple Port Scanner.
Key Learnings:
-How to scan open ports on a target machine.
-The role of ports in network communication.
-How port scanning helps identify potential entry points during penetration testing.
Day 21 of #90DaysOfPython: 21: Automating Tasks with Python
What I Learned:
-How to use the os and shutil modules to interact with the file system.
-Writing a script to automatically organize files in a folder by their extensions (e.g., moving .txt files to a "TextFiles" folder).
Day 19-20 of #90DaysOfPython: Introduction to Encryption
Key Takeaways:
-Encryption is the backbone of cybersecurity.
-Symmetric encryption is fast and efficient, while asymmetric encryption provides enhanced security for key exchange.
Day 18 of #90DaysOfPython: Introduction to Cryptography
- Hashing is a one-way process to convert data into a fixed-size string.
-Used for password storage, data integrity, and more.
Hashing Algorithms:
MD5 (insecure), SHA1 (weak), SHA256 (secure).
Day 18 of #90DaysOfPython: Introduction to Cryptography
- Hashing is a one-way process to convert data into a fixed-size string.
-Used for password storage, data integrity, and more.
Hashing Algorithms:
MD5 (insecure), SHA1 (weak), SHA256 (secure).
Day 17 of #90DaysOfPython: HTML and HTTP Basics:
Just built a simple HTTP request handler in Python. It fetches and displays webpage content
Day 16 of #90DaysOfPython: Web Scraping with BeautifulSoup.
I explored web scraping using BeautifulSoup and requests in Python
-Learned how to fetch and parse HTML.
-Extracted specific data like news headlines from a website.
-Built a simple scraper to automate data collection
Day 15 of #90DaysOfPython : Introduction to Networking
I explored the fundamentals of networking and socket programming
-Sockets = Network communication endpoints
-IP & Ports = How devices connect
-Client ↔ Server = Data exchange over TCP
Built a simple TCP client-server app
Day 15 of #90DaysOfPython : Introduction to Networking
I explored the fundamentals of networking and socket programming
-Sockets = Network communication endpoints
-IP & Ports = How devices connect
-Client ↔ Server = Data exchange over TCP
Built a simple TCP client-server app
Day 14 of #90DaysOfPython: Working with APIs
I learned how to use the requests library to fetch data from the GitHub API.
Key takeaways:
- Handle JSON responses with .json(), and
- Authentication often involves API keys in headers.
Day 14 of #90DaysOfPython: Working with APIs
I learned how to use the requests library to fetch data from the GitHub API.
Key takeaways:
- Handle JSON responses with .json(), and
- Authentication often involves API keys in headers.
Day 13 of #90DaysOfPython:Using External Libraries: Requests
Today, I explored external libraries in Python. I learned how to make HTTP requests (GET & POST) and interact with APIs. I built a simple script that fetches real-time weather data from a public API and displays it.
Day 13 of #90DaysOfPython:Using External Libraries: Requests
Today, I explored external libraries in Python. I learned how to make HTTP requests (GET & POST) and interact with APIs. I built a simple script that fetches real-time weather data from a public API and displays it.
Day 12 of #90DaysOfPython : Working with JSON
I learned how to parse and create JSON data using Python’s json library. I also explored the JSON format and its role in APIs.
-Project: I created a script that reads a JSON file and retrieves specific values based on user input.
Day 12 of #90DaysOfPython : Working with JSON
I learned how to parse and create JSON data using Python’s json library. I also explored the JSON format and its role in APIs.
-Project: I created a script that reads a JSON file and retrieves specific values based on user input.
Day 11 of #90DaysOfPython: Regular Expressions
Today, I explored Regular Expressions in Python using the re library.
-takeaways:
\d: Matches digits
\w: Matches alphanumeric characters
Regex is essential for string manipulation and data validation.
Day 11 of #90DaysOfPython: Regular Expressions
Today, I explored Regular Expressions in Python using the re library.
-takeaways:
\d: Matches digits
\w: Matches alphanumeric characters
Regex is essential for string manipulation and data validation.
Day 10 of #90DaysOfPython: Introduction to Libraries
Today, I explored Python libraries and installed them using pip. Libraries are essential for extending Python's functionality.
Key Highlights:
I learned about built-in libraries like os, sys, and math.
Day 10 of #90DaysOfPython: Introduction to Libraries
Today, I explored Python libraries and installed them using pip. Libraries are essential for extending Python's functionality.
Key Highlights:
I learned about built-in libraries like os, sys, and math.
Day 9 of #90DaysOfPython: Error handling
Error handling in Python, is crucial for creating robust programs.
-Key Concepts: I learned how to use try, except, and finally blocks to manage errors . This helps keep programs running smoothly even when unexpected issues arise.
Day 6 of #90DaysOfPython: lists and tuples
This help us store data in Python.
-Lists: These are like boxes where you can keep many items. You can change what's inside, add new items, or take some out.
-Tuples: Once you put something in a tuple, you can't change it.
Day 5 of #90DaysOfPython: Function
Today, I explored how to define functions using the def keyword. Functions help us organize our code and make it reusable.
Project: I wrote a function to calculate the factorial of a number
Day 5 of #90DaysOfPython: Function
Today, I explored how to define functions using the def keyword. Functions help us organize our code and make it reusable.
Project: I wrote a function to calculate the factorial of a number
Day 4 of #90DaysOfPython Loops:
Loops help us repeat actions without writing the same code over and over again.
For Loops: These let us go through items in a list or a string one by one.
While Loops: These keep running as long as a condition is true.
Day 4 of #90DaysOfPython Loops:
Loops help us repeat actions without writing the same code over and over again.
For Loops: These let us go through items in a list or a string one by one.
While Loops: These keep running as long as a condition is true.
Day 3 of #90DaysOfPython: conditional statements.
I Learned how to use if, else, and elif to make decisions in my code. Explored logical operators: and, or, and not. Built a simple age checker program that tells users if they're eligible to vote or drink.
Day 3 of #90DaysOfPython: conditional statements.
I Learned how to use if, else, and elif to make decisions in my code. Explored logical operators: and, or, and not. Built a simple age checker program that tells users if they're eligible to vote or drink.
Day 2 of #90DaysOfPython : Variables and Data Types
Today, I explored variables and data types like int, str, float. I practiced type casting by converting between data types, like turning strings into integers for calculations and vice versa for user-friendly output.
Day 2 of #90DaysOfPython : Variables and Data Types
Today, I explored variables and data types like int, str, float. I practiced type casting by converting between data types, like turning strings into integers for calculations and vice versa for user-friendly output.
#90DaysofPython
Day 15 Recap - Tasks are getting complex, but it is really fun, we created a TCP client-server script using python's socket module so with this script the server listens on 127.0.0.1:9999, accepting client connections and handling each in a separate thread.
Day 13/90
#90DaysOfPython
@okxwizard @elormkdaniel @LamarTriddles
🎯Using External Libraries: Request
✅Task: Create a Python script that fetches data from a public API (e.g., OpenWeatherMap) and displays the
weather
📍wrote a script that asks for users input for city-
Day 11/90
#90DaysOfPython
@okxwizard @elormkdaniel @LamarTriddles
🎯Working with JSON
📍Key Takeaways
- How to create a json file
- How and when to use square brackets in json
✅Task: Create a script that reads a JSON file and prints out specific values based on user input
#90DaysofPython
Day 14 - Today i created a script that uses Github API to fetch user information from Github
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