4.7K
TEIf you want to create an API in Python I definitely will recommend using this API!🔥
@tech_with_tim
#Wilson Python Programming Framework
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(12)
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PIEn este reel creamos nuestro primer formulario con el framework reflex el cual nos permite construir sitios web de manera dinámica solo con Python. #programacion #python #coding #react #fastapi
@pildoras_de_programacion
2.0K
GUCredit: @setupsai
#productivity #coding #learning #course #development #developer
@guideintoai
65.7K
COFlask 2.0 is a lightweight web framework in Python that allows you to create APIs quickly and efficiently. Let’s go step by step to build a simple REST API.
Step 1: Install Flask
First, ensure you have Flask installed. You can install it using pip:
pip install flask
Step 2: Create a Basic Flask API
Create a new Python file, e.g., app.py, and add the following code:
from flask import Flask, jsonify, request
app = Flask(__name__)
# Sample data (like a mini-database)
users = [
{"id": 1, "name": "Alice"},
{"id": 2, "name": "Bob"}
]
# Route to get all users
@app.route('/users', methods=['GET'])
def get_users():
return jsonify(users)
# Route to get a specific user by ID
@app.route('/users/<int:user_id>', methods=['GET'])
def get_user(user_id):
user = next((u for u in users if u["id"] == user_id), None)
return jsonify(user) if user else ("User not found", 404)
# Route to create a new user
@app.route('/users', methods=['POST'])
def create_user():
data = request.json
new_user = {"id": len(users) + 1, "name": data["name"]}
users.append(new_user)
return jsonify(new_user), 201
# Route to update a user
@app.route('/users/<int:user_id>', methods=['PUT'])
def update_user(user_id):
data = request.json
user = next((u for u in users if u["id"] == user_id), None)
if user:
user["name"] = data["name"]
return jsonify(user)
return "User not found", 404
# Route to delete a user
@app.route('/users/<int:user_id>', methods=['DELETE'])
def delete_user(user_id):
global users
users = [u for u in users if u["id"] != user_id]
return "User deleted", 200
# Run the Flask app
if __name__ == '__main__':
app.run(debug=True)
Step 3: Run Your Flask API
Run the script:
python app.py
You should see output like:
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Step 4: Test Your API
You can test the API using Postman or cURL.
Get all users:
curl http://127.0.0.1:5000/users
Get a specific user:
curl http://127.0.0.1:5000/users/1
Create a new user:
curl -X POST -H "Content-Type: application/json" -d '{"name": "Charlie"}' http://127.0.0.1:5000/users
#python #programming #coding
@codes.student
154.2K
CHThis is the framework I used to simultaneously prep for SWE and data science internships. It’s based on my personal experience — feel free to adapt it, or copy it entirely.
Comment “roadmap” and I’ll DM you the resource list.
#tech #fyp #explore
@chrisoh.zip
2.0K
TH🌐 Mastering Networking Essentials: Your Tech Roadmap!
Navigating the world of computer networks can seem complex, but this mind map breaks down the core pillars of networking into digestible concepts. Whether you’re a beginner or looking to validate your skills, understanding these areas is key to a successful tech career! 🚀
🔑 Tips & Tricks for Learning from this Map:
1. Start with the Core (Left Side): Every network journey begins with Networking Basics. Master the OSI Model (the 7-layer framework for how data travels) and the TCP/IP Model—these are the foundation for everything else.
2. Understand the Tools (Right Side):
• Routing & Switching: Focus on OSPF and BGP. These are the protocols that determine the best path for data (routing) and manage traffic flow within a network (switching).
• Key Protocols: TCP ensures reliable, ordered delivery, while UDP is faster but connectionless. IP is the addressing system that gets the data where it needs to go.
3. Future-Proof Your Skills (Bottom):
• Virtualization & Cloud: SDN (Software-Defined Networking) and technologies like Docker and Kubernetes are essential for modern, scalable, and flexible networks.
• Network Automation: Learning languages like Python and Bash is no longer optional—it’s how networks are managed efficiently today.
• Network Security: Firewalls and VPNs are critical for protecting data and maintaining confidentiality.
4. Certifications: Use the Certifications section as a goal! CompTIA Network+, Cisco CCNA, and VMware VCP-NV are industry standards that validate your expertise.
Networking is the backbone of the digital world. Take time to understand each node on this map, and you’ll be well on your way to mastering the essentials! Happy learning! 🤓💻
#Networking #NetworkingEssentials #OSIModel #TCP #IP #Routing #Switching #BGP #OSPF #LAN #WAN #CloudComputing #AWS #Azure #NetworkAutomation #Python #CyberSecurity #Firewalls #VPNs #Virtualization #SDN #NFV #Docker #Kubernetes #CompTIA #Cisco #VLAN #ComputerScience #techtips #Protocols
@thetikibyte
4.7K
DAPYTHON ROADMAP 2025 🐍
Here’s a complete roadmap to help you master Python , from basic syntax to web frameworks and testing. Whether you’re just starting out or aiming to become a full-stack Python developer, this guide will keep you on track!
1. Learn The Basics
✅ Basic Syntax
✅ Variables & Data Types
✅ Type Casting, Expectations
✅ Functions & Built-in Functions
✅ Conditionals & Loops
2. Master Data Structures & Algorithms
✅ Lists, Tuples, Sets, Dictionaries
✅ Arrays and Linked Lists
✅ Heaps, Stacks, Queues
✅ Hash Tables
✅ Recursion & Sorting Algorithms
✅ Binary Search Trees
3. Dive into Advanced Topics
✅ Regular Expressions
✅ Lambda Functions
✅ Decorators
✅ Iterators
✅ Modules (Builtin + Custom)
4. Object-Oriented Programming (OOP)
✅ Classes & Objects
✅ Inheritance
✅ Methods
✅ OOP Concepts
5. Version Control & Collaboration
✅ Basic Git Usage
✅ Version Control Systems
✅ GitHub / GitLab / BitBucket
✅ Repo Hosting Services
6. Learn a Framework (Web Dev)
✅ Flask
✅ Django
✅ Pyramid
✅ Synchronous vs Asynchronous
✅ gevent, aiohttp, Tornado, Sanic
7. Master Package Management
✅ pip
✅ PyPI
✅ Package Managers
8. Testing Your Apps
✅ pytest
✅ unittest / PyUnit
Save this roadmap and follow it step-by-step to build a solid Python foundation and become job-ready.
#PythonRoadmap #LearnPython #PythonDeveloper #PythonProjects #PythonBeginner #TechExplorers #CodeLearning #ProgrammingJourney
@datamavericks
365
IM4 Web Apps You Can Make with Just Python : Streamlit day 20 #python #coding #programming
Welcome to the playlist where I explore everything inside Streamlit – the easiest way to build interactive, data-driven web apps with pure Python. 🚀
Streamlit is an open-source framework that allows you to transform any Python script into a beautiful, production-ready web application in minutes. With just a few lines of code, you can create dashboards, AI interfaces, machine learning demos, and interactive tool.
If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to:
✅ Build interactive apps and dashboards
✅ Replace Jupyter Notebooks with dynamic, shareable apps
✅ Create simple alternatives to Django or Flask for rapid prototyping
✅ Connect Python to data, APIs, and AI models with clean UIs
✅ Design projects with modern, responsive layouts and themes
On this channel, you’ll find:
👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.)
👉 Tips for building AI apps, ML dashboards, and data visualization tools
👉 Deployment strategies for sharing apps with teams, clients, or the world
👉 Inspiration to use Streamlit as your go-to framework for Python projects
Why developers love Streamlit:
Free, open-source, and growing fast
Clean UI out of the box — no design skills required
Perfect for data apps, prototypes, and AI demos
Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more
Whether you’re a student exploring data science, a researcher sharing ML results, a developer building AI apps, or just someone curious about turning Python into powerful web apps, Streamlit makes the process fast, fun, and intuitive.
#Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects
@imaginaryover2
621.7K
AIPython devs, meet your new best friend Streamlit! 🐍⚡ With just a few lines of code, you can turn your project into a slick, shareable web app no frontend headache required. Perfect for demos, even your non-tech friends will get it! 💻✨
.
.
.
#streamlit #python #opensource #pythonprojects #webapp #uidesign #codinglife #developerlife #pythonprogrammer #techtools #projectdemo #nocode #programmingtips #pythontools #devtools
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[streamlit, python, open source, python projects, build web app, demo tools, no code, visual interface, developer tools, python framework, tech stack, frontend alternative, data apps, machine learning demo, easy ui for python]
@aifortechies
4.5K
TEDjango vs Flask vs FastAPI which should you learn?
@techwithtimhq
7.2K
RE4 beginner-friendly Python projects #tech #stem #python #coding #job #learn #job
@remoteree
162
FI📌 SAVE FOR LATER 📌
•
💯 SPRING vs SPRING BOOT 💯
•
🛠️ Spring = Manual setup 🛠️
✨ Spring Boot = Auto-config magic ✨
🍹 Same ingredients, faster juice! 🍹
•
🚀 SHARE this post with your DEV colleagues 🚀
•
✅ MAKE your development EASIER with these TIPS ✅
•
🗣️ FOLLOW @firstone_news for DAILY content! 🗣️
•
•
#developers #coding #programmer #programming #codinglife #cloud #tips #design #DevTools #softwaredevelopment #python #spring #framework #software #ArchitectureExplained #java #algorithm #firstonenews
@firstone_news
✨ #Wilson Python Programming Framework発見ガイド
Instagramには#Wilson Python Programming Frameworkの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
#Wilson Python Programming Frameworkは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーにはthousands of以上の投稿があり、@aifortechies, @chrisoh.zip and @codes.studentのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Wilson Python Programming Frameworkで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @aifortechies, @chrisoh.zip, @codes.studentなどがコミュニティをリード
#Wilson Python Programming Frameworkについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Wilson Python Programming Frameworkのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均224.6K回の再生（平均の2.9倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長806文字
✨ 多くの認証済みクリエイターが活動中（25%） - コンテンツスタイルを研究
📹 #Wilson Python Programming Frameworkには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
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