🐍 10 Free Courses to Learn Python

👩🏻‍💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

📃A complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

📃A 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

📃Training with lots of real examples and exercises.


4⃣ Introduction to Python

📃Learn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

📃Learn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

📃Interactive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

📃Project-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

📃Step-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

📃A course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

📃University-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

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Django Tip:

Before deployment, run python manage.py check --deploy to catch critical configuration errors, such as missing ALLOWED_HOSTS. This command helps ensure the app is securely configured for production.

In our example, the system checked the project and found several issues:

🔸(security.W004) SECURE_HSTS_SECONDS is not set.
If your site runs only over HTTPS, you should enable HSTS so browsers always use a secure connection. But configure this carefully, as incorrect use can cause serious problems.

🔸(security.W008) SECURE_SSL_REDIRECT is not set to True.
If all traffic should go through HTTPS, set SECURE_SSL_REDIRECT = True or configure a redirect via a load balancer/proxy.

🔸(security.W009) SECRET_KEY is shorter than 50 characters, contains fewer than 5 unique characters, or starts with 'django-insecure-'.
This means the key was generated by Django by default. Create a new random long key, otherwise some built-in security mechanisms can be bypassed.

🔸(security.W012) SESSION_COOKIE_SECURE is not set to True.
Without this setting, session cookies can be intercepted over regular HTTP traffic.

🔸(security.W016) 'django.middleware.csrf.CsrfViewMiddleware' is in MIDDLEWARE, but CSRF_COOKIE_SECURE is not enabled.
Set CSRF_COOKIE_SECURE = True to protect the CSRF token from leaks over unencrypted connections.

🔸(security.W018) DEBUG must not be True in production.
Turn off debugging before deployment.

🔸(security.W020) ALLOWED_HOSTS must not be empty.
Add domains to the list from which the app is allowed to be accessed.

👉  @DataScience4

In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automation—master this to create viral tools and ace full-stack interviews! 🤖

# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters

async def start(update, context):
    await update.message.reply_text(
        "✨ AI Image Bot Active!\n"
        "/generate - Create images from text\n"
        "/enhance - Improve photo quality\n"
        "/help - Full command list"
    )

app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()

# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes

openai.api_key = os.getenv("OPENAI_API_KEY")

async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
    if not context.args:
        await update.message.reply_text("❌ Usage: /generate cute robot astronaut")
        return
    
    prompt = " ".join(context.args)
    try:
        response = openai.Image.create(
            prompt=prompt,
            n=1,
            size="1024x1024"
        )
        await update.message.reply_photo(
            photo=response['data'][0]['url'],
            caption=f"🎨 Generated: *{prompt}*",
            parse_mode="Markdown"
        )
    except Exception as e:
        await update.message.reply_text(f"🔥 Error: {str(e)}")

app.add_handler(CommandHandler("generate", generate))

Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots

#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips

https://news.1rj.ru/str/DataScienceM 🦾

💡 Python Lists Cheatsheet: Essential Operations

This lesson provides a quick reference for common Python list operations. Lists are ordered, mutable collections of items, and mastering their use is fundamental for Python programming. This cheatsheet covers creation, access, modification, and utility methods.

# 1. List Creation
my_list = [1, "hello", 3.14, True]
empty_list = []
numbers = list(range(5)) # [0, 1, 2, 3, 4]

# 2. Accessing Elements (Indexing & Slicing)
first_element = my_list[0]     # 1
last_element = my_list[-1]    # True
sub_list = my_list[1:3]       # ["hello", 3.14]
copy_all = my_list[:]         # [1, "hello", 3.14, True]

# 3. Modifying Elements
my_list[1] = "world"          # my_list is now [1, "world", 3.14, True]

# 4. Adding Elements
my_list.append(False)         # [1, "world", 3.14, True, False]
my_list.insert(1, "new item") # [1, "new item", "world", 3.14, True, False]
another_list = [5, 6]
my_list.extend(another_list)  # [1, "new item", "world", 3.14, True, False, 5, 6]

# 5. Removing Elements
removed_value = my_list.pop() # Removes and returns last item (6)
removed_at_index = my_list.pop(1) # Removes and returns "new item"
my_list.remove("world")       # Removes the first occurrence of "world"
del my_list[0]                # Deletes item at index 0 (1)
my_list.clear()               # Removes all items, list becomes []

# Re-create for other examples
numbers = [3, 1, 4, 1, 5, 9, 2]

# 6. List Information
list_length = len(numbers)    # 7
count_ones = numbers.count(1) # 2
index_of_five = numbers.index(5) # 4 (first occurrence)
is_present = 9 in numbers     # True
is_not_present = 10 not in numbers # True

# 7. Sorting
numbers_sorted_asc = sorted(numbers) # Returns new list: [1, 1, 2, 3, 4, 5, 9]
numbers.sort(reverse=True)          # Sorts in-place: [9, 5, 4, 3, 2, 1, 1]

# 8. Reversing
numbers.reverse()                   # Reverses in-place: [1, 1, 2, 3, 4, 5, 9]

# 9. Iteration
for item in numbers:
    # print(item)
    pass # Placeholder for loop body

# 10. List Comprehensions (Concise creation/transformation)
squares = [x**2 for x in range(5)] # [0, 1, 4, 9, 16]
even_numbers = [x for x in numbers if x % 2 == 0] # [2, 4]

Code explanation: This noscript demonstrates fundamental list operations in Python. It covers creating lists, accessing elements using indexing and slicing, modifying existing elements, adding new items with append(), insert(), and extend(), and removing items using pop(), remove(), del, and clear(). It also shows how to get list information like length (len()), item counts (count()), and indices (index()), check for item existence (in), sort (sort(), sorted()), reverse (reverse()), and iterate through lists. Finally, it illustrates list comprehensions for concise list generation and filtering.

#Python #Lists #DataStructures #Programming #Cheatsheet

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By: @DataScience4 ✨

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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