📕 #pandas Cheat Sheet


👨🏻‍💻 To easily read, inspect, clean, and manipulate data however you want, you need to master pandas!

✏️ To make learning and using pandas easier, this #cheatsheet covers almost all the important features you need for data-driven projects.

✔️ Reading and writing data
✔️ Data inspection
✔️ Data transformation and cleaning
✔️ Grouping and summarizing
✔️ Combining datasets

🌐 #DataScience #DataScience

https://t.iss.one/DataAnalyticsX 🏐

🚀 Master Data Science & Programming!

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🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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The largest Arabic-speaking group for Python developers to share knowledge and help.
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Admin: @HusseinSheikho

🔖 Sharing a handy cheat sheet on 12 key Git commands — this is the basic set that no developer can do without

tags: #cheatsheet #git

https://t.iss.one/CodeProgrammer 🔗

📊 A comprehensive summary of the «Seaborn Library»

👨🏻‍💻 One of the best choices for any data scientist to convert data into clear and beautiful charts, so that they can better understand what the data is saying and also be able to present the results correctly and clearly to others, is the Seaborn library.

✅ A very user-friendly library for creating professional charts with minimal coding. It is built on top of Matplotlib but is simpler and easier to use than that.

✏️ With this summary, you will learn the syntax, see many examples and real applications of #Seaborn, and ultimately help you elevate your #datavisualization skills by several levels.

🌐 #Data_Science #DataScience

https://t.iss.one/DataAnalyticsX 🌟

React 💖 for more amazing content

🎓 OSSU Computer Science — your free Computer Science degree

Open Source Society University (OSSU) is a complete Computer Science curriculum compiled from the best free courses in the world (MIT, Harvard, Princeton). This is not just random videos, but a structured study plan for 2-3 years: from introduction and algorithms to operating systems, databases, and machine learning.

What is important:

➡️ A full Curriculum — the program follows the standard undergraduate CS degree: mathematics, algorithms, architecture, OS, networks, security.

➡️ Top sources — courses from MIT, Stanford, Google, Princeton, and other giants.

➡️ Final Project — at the end of the program, you create a big project to consolidate your knowledge in practice.

🐱 Link to the repository

https://t.iss.one/CodeProgrammer ✉️

🏷 Sections of the «NumPy» library
⬅️ From introductory to advanced


👨🏻‍💻 This is a long-term project to learn Python and NumPy from scratch. The main task is to handle numerical #data and #arrays in #Python using NumPy, and many other libraries are also used.


✏️ This section shows a structured and complete path for learning #NumPy; but the code examples and exercises help to practically memorize the concepts.


⭕️ Introduction to NumPy
🟠 NumPy arrays
⭕️ Introduction to array features
🟠 Basic operations on arrays
⭕️ Functions for statistical and aggregative purposes
🟠 And...

https://t.iss.one/CodeProgrammer ⛈⚡️

If you want to truly understand how AI systems like #GPT, #Claude, #Llama or #Mistral work at their core, these 85 foundational concepts are essential. The visual below breaks down the most important ideas across the full #AI and #LLM landscape.

https://t.iss.one/CodeProgrammer ✅

🚀 #Pandas Cheat Sheet for Everyday Data Work

This covers the essential functions we use in day to day work like inspecting data, selecting rows and columns, cleaning, manipulating and doing quick aggregations.

https://t.iss.one/CodeProgrammer ❤️