Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

PYTHON EXPLAINED FOR BEGINNERS. You might be wondering how python works.Here is part 2 breakdown of how you can understand the fundamentals of python as a beginner in an easy to understand way. Variables. Arguments. Logical operators. Objects and methods. The secret is — you already do all of...

dudetalkstech's profile picture

Gio | Cyber Security

29,300 subscribers

55,400 Aufrufe • vor 5 Monaten •via TikTok

Wissenschaft & Technologie#python#pythonprogramming#howtocode#coding#cybersecurity
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

PYTHON EXPLAINED FOR BEGINNERS You might be wondering how python works. Here is an intro breakdown to how you can understand the fundamentals of python as a beginner. If/else. While loops. Functions. Try/except. You do all of this before 9am — you just do it in English. Python didn't invent logic. It just named it. 🧠💻 #python #pythonprogramming #cybersecurity #coding #hackers
1:16

PYTHON EXPLAINED FOR BEGINNERS You might be wondering how python works. Here is an intro breakdown to how you can understand the fundamentals of python as a beginner. If/else. While loops. Functions. Try/except. You do all of this before 9am — you just do it in English. Python didn't invent logic. It just named it. 🧠💻 #python #pythonprogramming #cybersecurity #coding #hackers

Gio | Cyber Security

18,500 Aufrufe • vor 5 Monaten

Let's learn how to code in Python for FREE together! 👩🏽‍💻💗 Bringing back my Learn to Code for FREE series with one of my favourite platforms for learning Python! ✨ COURSE DETAILS ✨ 💡 Name: Python by Kaggle Learn 💡 Contents: Learn Python fundamentals, including functions, loops, lists and working with libraries, with interactive coding exercises to practise along the way! 💡 Length: Approximately 5 hours 💡 Cost: Completely FREE! I'll be sharing lots more free coding courses and resources, so save this for later! 💕 ☁️ Have you used Kaggle before? Or is there another free coding platform you'd recommend? #learntocode #python #codingtiktok #programming #pythonprogramming
0:29

Let's learn how to code in Python for FREE together! 👩🏽‍💻💗 Bringing back my Learn to Code for FREE series with one of my favourite platforms for learning Python! ✨ COURSE DETAILS ✨ 💡 Name: Python by Kaggle Learn 💡 Contents: Learn Python fundamentals, including functions, loops, lists and working with libraries, with interactive coding exercises to practise along the way! 💡 Length: Approximately 5 hours 💡 Cost: Completely FREE! I'll be sharing lots more free coding courses and resources, so save this for later! 💕 ☁️ Have you used Kaggle before? Or is there another free coding platform you'd recommend? #learntocode #python #codingtiktok #programming #pythonprogramming

Dr. Annabelle | tech & coding✨

21,600 Aufrufe • vor 7 Tagen

Take any Python code and build a dynamic GUI on top of it by dragging and dropping components. Python is already the most popular language in the world. This makes it even better! The attached video is only 45 seconds. It will show you how it works. Here is the important part: You can now build an interface for your Python code without learning HTML, JavaScript, or CSS. Go to this link to try this: Remember to work smarter, not harder! Thanks to the team behind Taipy for partnering with me on this post.
0:45

Take any Python code and build a dynamic GUI on top of it by dragging and dropping components. Python is already the most popular language in the world. This makes it even better! The attached video is only 45 seconds. It will show you how it works. Here is the important part: You can now build an interface for your Python code without learning HTML, JavaScript, or CSS. Go to this link to try this: Remember to work smarter, not harder! Thanks to the team behind Taipy for partnering with me on this post.

Santiago

155,254 Aufrufe • vor 2 Jahren

🐍 PYTHON FOR CYBERSECURITY — EP 1 If you want to get serious about cybersecurity, learning Python can give you a major advantage. Python is useful for: 🔹 Automation 🔹 Networking 🔹 OSINT 🔹 API interaction 🔹 Log analysis 🔹 Security tooling 🔹 Web security research 🔹 Scripting repetitive tasks Start with the fundamentals: Variables → Data Types → Conditions → Loops → Functions → Modules → Files You don't need to become a professional developer before starting cybersecurity. Learn Python by building small security-related projects in your own lab and gradually make them more advanced. 🐍 Code → Practice → Automate → Secure ⚠️ Educational purposes only. Use scripts and security tools only on systems you own or have permission to test. #Hackwithbanks #Python #PythonProgramming #CyberSecurity #EthicalHacking
17:41

🐍 PYTHON FOR CYBERSECURITY — EP 1 If you want to get serious about cybersecurity, learning Python can give you a major advantage. Python is useful for: 🔹 Automation 🔹 Networking 🔹 OSINT 🔹 API interaction 🔹 Log analysis 🔹 Security tooling 🔹 Web security research 🔹 Scripting repetitive tasks Start with the fundamentals: Variables → Data Types → Conditions → Loops → Functions → Modules → Files You don't need to become a professional developer before starting cybersecurity. Learn Python by building small security-related projects in your own lab and gradually make them more advanced. 🐍 Code → Practice → Automate → Secure ⚠️ Educational purposes only. Use scripts and security tools only on systems you own or have permission to test. #Hackwithbanks #Python #PythonProgramming #CyberSecurity #EthicalHacking

Hackswithbanks

133,900 Aufrufe • vor 1 Monat

Python Coding challenge - Day 34 | What is the output of the following Python code? Solutions -
0:30

Python Coding challenge - Day 34 | What is the output of the following Python code? Solutions -

Python Coding

25,312 Aufrufe • vor 3 Jahren

Python Project for Beginners 👨‍💻🐍 #coding #programming #softwareengineer #fyp #python
0:30

Python Project for Beginners 👨‍💻🐍 #coding #programming #softwareengineer #fyp #python

Evolve - Data & Code

2,100,000 Aufrufe • vor 3 Jahren

Link Tutorial: Python for Absolute Beginners | Learn to Code From ZERO in 30 min part 1 Are you ready to learn programming but have no idea where to start? This full Python for beginners course is designed for the absolute beginner with ZERO prior experience. We'll move step-by-step from the most basic questions ("Why do we even have computers?") all the way to writing your first real programs. By the end of this video, you will have a solid foundation in the core concepts of programming. ✅ NO EXPERIENCE NEEDED. We use simple analogies and thought experiments to make complex ideas easy to understand. In this full course, you will learn: (00:00:00) - Module 1: The "Why" of Programming (00:13:00) - Module 2: Your First Conversation with Python (02:00:00) - Module 3: Making Decisions in Your Code (If/Else) (04:00:00) - Module 4: Organizing Your Code with Lists & Functions This course covers all the fundamentals, including variables, data types (integers, strings), control flow, lists, and functions. This is the perfect first step on your journey to becoming a programmer. #Python #Programming #LearnToCode #PythonForBeginners #Coding
31:09

Link Tutorial: Python for Absolute Beginners | Learn to Code From ZERO in 30 min part 1 Are you ready to learn programming but have no idea where to start? This full Python for beginners course is designed for the absolute beginner with ZERO prior experience. We'll move step-by-step from the most basic questions ("Why do we even have computers?") all the way to writing your first real programs. By the end of this video, you will have a solid foundation in the core concepts of programming. ✅ NO EXPERIENCE NEEDED. We use simple analogies and thought experiments to make complex ideas easy to understand. In this full course, you will learn: (00:00:00) - Module 1: The "Why" of Programming (00:13:00) - Module 2: Your First Conversation with Python (02:00:00) - Module 3: Making Decisions in Your Code (If/Else) (04:00:00) - Module 4: Organizing Your Code with Lists & Functions This course covers all the fundamentals, including variables, data types (integers, strings), control flow, lists, and functions. This is the perfect first step on your journey to becoming a programmer. #Python #Programming #LearnToCode #PythonForBeginners #Coding

stevenone4

80,100 Aufrufe • vor 1 Jahr

Build Your Own ChatGPT Bot in Python (in 60 Seconds) #python #coding #programming In this video you'll build a fully working ChatGPT bot from scratch using Python and the OpenAI API. Starting from a single API call, add user input function and then a full conversation loop with memory, all in under thirty lines of code. You'll learn how to initialize the OpenAI client, send messages to gpt-5.4-mini, and structure a growing message history so your bot actually remembers the conversation. All you need is Python and an OpenAI API key.
1:16

Build Your Own ChatGPT Bot in Python (in 60 Seconds) #python #coding #programming In this video you'll build a fully working ChatGPT bot from scratch using Python and the OpenAI API. Starting from a single API call, add user input function and then a full conversation loop with memory, all in under thirty lines of code. You'll learn how to initialize the OpenAI client, send messages to gpt-5.4-mini, and structure a growing message history so your bot actually remembers the conversation. All you need is Python and an OpenAI API key.

Coding Together

213,900 Aufrufe • vor 4 Monaten

You can now analyze your data much easier by combining Python in Excel and ChatGPT o1. Works for charts and any type of datasets. Just generate the Python code using o1 and run it directly in Excel. How-to guide and template below:
0:22

You can now analyze your data much easier by combining Python in Excel and ChatGPT o1. Works for charts and any type of datasets. Just generate the Python code using o1 and run it directly in Excel. How-to guide and template below:

Paul Couvert

30,249 Aufrufe • vor 2 Jahren

🚨 UNCANNY VALLEY: LEARNING TO CODE WON’T SAVE YOU Forget Python. If you don’t know how to think like an algorithm, Danks says the future will leave you behind. Dr. David Danks: “We need students to think computationally and algorithmically—but we don’t need them to write Python scripts.” In the world of AI, it’s not what you can code—it’s how you think that matters.
1:11

🚨 UNCANNY VALLEY: LEARNING TO CODE WON’T SAVE YOU Forget Python. If you don’t know how to think like an algorithm, Danks says the future will leave you behind. Dr. David Danks: “We need students to think computationally and algorithmically—but we don’t need them to write Python scripts.” In the world of AI, it’s not what you can code—it’s how you think that matters.

Mario Nawfal

85,619 Aufrufe • vor 1 Jahr

4. Introduction to Python Programming Learn to solve practical problems with Python. You'll learn the fundamentals of the Python programming language, along with programming best practices.
0:21

4. Introduction to Python Programming Learn to solve practical problems with Python. You'll learn the fundamentals of the Python programming language, along with programming best practices.

Alif Hossain

52,930 Aufrufe • vor 2 Jahren

Part 1 ~ Master Python in an easy way #programming #softwareengineering #coding #computerscience #techexplained
1:11

Part 1 ~ Master Python in an easy way #programming #softwareengineering #coding #computerscience #techexplained

Thom Code

157,800 Aufrufe • vor 8 Monaten

How to build an AI agent from scratch. This is the question I get the most, so I recorded this video to show you from the very beginning how you can get started. You can do this in Python, TypeScript, JavaScript, or Ruby.
30:13

How to build an AI agent from scratch. This is the question I get the most, so I recorded this video to show you from the very beginning how you can get started. You can do this in Python, TypeScript, JavaScript, or Ruby.

Santiago

71,826 Aufrufe • vor 1 Jahr

A Python Developer's Guide to Blockchain Blockchain is an emerging tech that Python developers can add to existing projects Watch this podcast to learn more about Python for blockchain ⬇️
1:33

A Python Developer's Guide to Blockchain Blockchain is an emerging tech that Python developers can add to existing projects Watch this podcast to learn more about Python for blockchain ⬇️

Python Coding

52,881 Aufrufe • vor 2 Jahren

How to get started programming pt. 1 (in python or whatever else) 👨‍💻🐍🤔 #coding #softwareengineer #programming #fyp #python
1:06

How to get started programming pt. 1 (in python or whatever else) 👨‍💻🐍🤔 #coding #softwareengineer #programming #fyp #python

Evolve - Data & Code

265,700 Aufrufe • vor 3 Jahren

This Python script helps you better understand how embeddings work for SEO. Input a sentence + a query and BERT will calculate a content "Similarity Score": Search engines use embedding models to translate your content into numeric values. This is how they're able to mathematically determine whether a page on your site is actually relevant to a query someone is searching for. Once both the content and query are run through embeddings - they can calculate the "cosine similarity" or how similar the two entities are to each one. With this Python script, you can actually visualize how cosine similarity works for yourself. To you use you'll simply: 1. Save the Python script to a text file 2. Use your Terminal to run the script 3. You'll be prompted for both a "Sentence" and "Query" 4. Once entered, the script will calculate a "Similarity Score" between the text and query. This is how relevant your sentence is for the target keyword. By running this, you'll see that search engines are able to come with an calculation of content relevance. You'll need to think about the content on your site the same way - which sections have high scores and which ones have low ones? I've linked the Python script in the comments below. No coding knowledge is required and it walks you step by step on how to implement it.
2:37

This Python script helps you better understand how embeddings work for SEO. Input a sentence + a query and BERT will calculate a content "Similarity Score": Search engines use embedding models to translate your content into numeric values. This is how they're able to mathematically determine whether a page on your site is actually relevant to a query someone is searching for. Once both the content and query are run through embeddings - they can calculate the "cosine similarity" or how similar the two entities are to each one. With this Python script, you can actually visualize how cosine similarity works for yourself. To you use you'll simply: 1. Save the Python script to a text file 2. Use your Terminal to run the script 3. You'll be prompted for both a "Sentence" and "Query" 4. Once entered, the script will calculate a "Similarity Score" between the text and query. This is how relevant your sentence is for the target keyword. By running this, you'll see that search engines are able to come with an calculation of content relevance. You'll need to think about the content on your site the same way - which sections have high scores and which ones have low ones? I've linked the Python script in the comments below. No coding knowledge is required and it walks you step by step on how to implement it.

Chris Long

13,210 Aufrufe • vor 2 Jahren

Astra, can you write a Python script for the Fibonacci sequence i mean physically
1:13

Astra, can you write a Python script for the Fibonacci sequence i mean physically

Dmytro Hrybov

71,239 Aufrufe • vor 2 Monaten

🚨 THIS IS ACTUALLY INSANE Python developers are still installing five different tools to manage one project. `pip` for packages. `virtualenv` for environments. `pyenv` for Python versions. `pipx` for CLI tools. `poetry` for project management. uv replaces all of them with one tool. And it’s written in Rust. The headline number: 10–100× faster than pip. But speed isn't even the most interesting part. uv can: → Create and manage Python projects → Resolve dependencies with a universal lockfile → Create virtual environments → Install and switch between Python versions → Run standalone Python scripts with dependencies → Install CLI tools with `uvx` → Compile and sync requirements → Manage Cargo-style workspaces The workflow becomes ridiculously simple: `uv init` → create a project `uv add` → add dependencies `uv run` → run your code `uv lock` → lock dependencies `uv sync` → reproduce the environment And if you're already using pip? You don't have to throw your workflow away. The `uv pip` interface is designed as a drop-in replacement while giving you the speed boost. The other clever bit: uv uses a global cache to deduplicate dependencies and save disk space. So instead of assembling a Python toolchain piece by piece, you get one fast CLI that covers the whole workflow. And unlike a lot of newer developer tools, uv is already considered stable and production-ready. If you work with Python, this is one of those tools you should probably try once. You might not go back. #Python #DevTools #Rust #OpenSource #Programming #AIEngineering
0:28

🚨 THIS IS ACTUALLY INSANE Python developers are still installing five different tools to manage one project. `pip` for packages. `virtualenv` for environments. `pyenv` for Python versions. `pipx` for CLI tools. `poetry` for project management. uv replaces all of them with one tool. And it’s written in Rust. The headline number: 10–100× faster than pip. But speed isn't even the most interesting part. uv can: → Create and manage Python projects → Resolve dependencies with a universal lockfile → Create virtual environments → Install and switch between Python versions → Run standalone Python scripts with dependencies → Install CLI tools with `uvx` → Compile and sync requirements → Manage Cargo-style workspaces The workflow becomes ridiculously simple: `uv init` → create a project `uv add` → add dependencies `uv run` → run your code `uv lock` → lock dependencies `uv sync` → reproduce the environment And if you're already using pip? You don't have to throw your workflow away. The `uv pip` interface is designed as a drop-in replacement while giving you the speed boost. The other clever bit: uv uses a global cache to deduplicate dependencies and save disk space. So instead of assembling a Python toolchain piece by piece, you get one fast CLI that covers the whole workflow. And unlike a lot of newer developer tools, uv is already considered stable and production-ready. If you work with Python, this is one of those tools you should probably try once. You might not go back. #Python #DevTools #Rust #OpenSource #Programming #AIEngineering

Vikas gupta

40,126 Aufrufe • vor 1 Monat