36.6K
PRComplete Python Notes 📝
@programmer_talkz
#Python Data Analysis Notebook Charts
世界中の人々によるPython Data Analysis Notebook Chartsに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
トレンドリール
(12)
811.8K
DAPython + Pandas = Data Analysis
→ YouTube: Corey Schafer, Data School, Krish Naik
Python + scikit-learn = Machine Learning
→ YouTube: StatQuest, CodeBasics, freeCodeCamp
Python + PyTorch = Deep Learning
→ YouTube: DeepLizard, Aladdin Persson, PyTorch official
Python + TensorFlow = Deep Learning
→ YouTube: TensorFlow, The AI Epiphany, freeCodeCamp
Python + FastAPI = Web Development (APIs)
→ YouTube: Tech With Tim, FastAPI Docs, freeCodeCamp
Python + Django = Full-Stack Web Development
→ YouTube: Dennis Ivy, Traversy Media, Code With Stein
Python + Flask = Lightweight Web Dev
→ YouTube: Tech With Tim, Corey Schafer, freeCodeCamp
Python + NumPy + Matplotlib = Scientific Computing
→ YouTube: Data School, StatQuest, freeCodeCamp
Python + Selenium = Web Automation
→ YouTube: Naveen AutomationLabs, Mukesh otwani
Python + BeautifulSoup / Scrapy = Web Scraping
→ YouTube: CodeBasics, freeCodeCamp, John Watson Rooney
Python + OpenCV = Computer Vision
→ YouTube: Murtaza's Workshop, Pysource, freeCodeCamp
Python + NLTK / spaCy = NLP
→ YouTube: freeCodeCamp, CodeBasics, DataWithHarsh
Python + Streamlit / Gradio = ML App Deployment
→ YouTube: Chanin Nantasenamat (Data Professor), freeCodeCamp
Python + Airflow = Data Pipelines
→ YouTube: Data With Danny, freeCodeCamp, Astronomer
Python + PySpark = Big Data
→ YouTube: Databricks, freeCodeCamp, Simplilearn
Python + Kivy / PyQt = Desktop Apps
→ YouTube: Tech With Tim (Kivy), Parwiz Forogh (PyQt5)
Python + boto3 = AWS Automation
→ YouTube: AWS Tutorials, Be A Better Dev
Python + LangChain = AI Agents
→ YouTube: Prompt Engineering, Data Professor, LangChain Official
👉 Follow @freshgrad.com.officia and @datasciencebrain l for more updates on career-boosting courses! 🚀✨
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#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp #AIagents #NoCode #LangChain #CrewAI #AutoGen #AItools #AgenticAI #TechStack2025 #DataScience #AIworkflow
@datasciencebrain
43.2K
CO🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊
If you are starting your Data Analytics journey, the right Python libraries can save you hours of effort and make your projects 10x more powerful. 🚀
Here’s a quick breakdown of the must-know libraries:
✅ Pandas → Data cleaning & manipulation
✅ NumPy → Fast numerical computing
✅ Matplotlib & Seaborn → Stunning visualizations
✅ Plotly → Interactive dashboards
✅ Scikit-learn → Easy machine learning
✅ Statsmodels & SciPy → Statistical analysis
✅ TensorFlow / PyTorch → Advanced AI & analytics
✅ OpenPyXL, Dask, BeautifulSoup, NLTK, SQLAlchemy → Excel automation, big data, web scraping, text analytics, and databases!
💡 Whether you’re preparing for a job, building projects, or just learning, these libraries are the backbone of Data Analytics.
👉 Save this reel for quick reference 🔖
👉 Share it with your data friends 🔄
👉 Follow @codeandcrush for more daily Data Analytics tips, tricks & career hacks 🚀
#python #dataanalytics #pythonlibraries #datascience #machinelearning #sql #powerbi #dataanalyst #learnpython #learnandgrow #careergoals #instagram #pythonprogramming #reelsi̇nstagram #trendings
@codeandcrush
18.7K
ASLet’s work on a Data Analysis in Python in 2 minutes ✌️🏎️
In this video, we’re working with Formula 1 @f1 data including
- Loading and exploring the dataset
- Doing an analysis (plus adding a time series!)
- Plotting charts & graphs to see the trends
Comment “F1” if you want a link to my GitHub repo with this code!
#datascience #dataanalytics #dataanalysis #datascientist #python #formula1 #grandprix
@askdatadawn
1.9M
MORelaxing Python & Pygame Creations #coding #programming
@mohcinale
1.8M
STPython Graphics Pattern Design....
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Visit our site for free source codes & Tutorials, HTML, CSS, Python, JavaScript, Java and More Coding. www.studymuch.in
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Follow @studymuch.in #studymuch for more content on computer science, programming, technology, and the Programming languages.
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#python #programming #coding #java #javascript #studymuch #programmer #developer #html #snake #coder #code #computerscience #technology #css #software #graphicdesign #graphics #ai #robot #reels #reel #trending #pythontutorials #pythonmodule #short
@studymuch.in
941.4K
ZUNever modify a list while iterating it but what ACTUALLY happens?
What does this print? 😱
Drop your answer in the comments.
This one has caused real production bugs share yours 👇
#PythonTrick #PythonQuiz #LearnPython #CodePuzzle #DeveloperLife
@zuhrah.tech
606.3K
DEIt’s literally perfect 🫠 #coding #java #programmer #computer #python
@deskmateco
456.0K
HAInput and typecasting in python
Join daily free live classes of PYTHON on HappyCoding YouTube channel
Offline batches are starting very soon in Jaipur!
#prishu #happycoding#happycodingwithprishu #programming #python #prishugawalia
@happycoding_with_prishu
4.3K
LOHow to create line graph using python in just 60 sec
#coding #python #datavisualization #matplotlib #datavisualization
Converting raw data into stunning line chart using matplotlib
Software development | Python | Data science | Data visualization | Matplotlib
@logicwithpython
27.2K
DAR vs Python: Key Differences
R:
- Focuses on data analysis and statistics
- Used primarily by academics and researchers
- Powerful data visualization with libraries like ggplot2
- Runs on the RStudio IDE
- Steeper learning curve initially
Python:
- Versatile language used for deployment and production
- Favored by programmers and developers
- Strong data manipulation capabilities with pandas
- Integrates with machine learning libraries like TensorFlow
- Smoother, more linear learning curve
Both are robust data analysis tools, but have different strengths and user bases. Choosing between R and Python depends on your specific needs and background.
#DataScience #Programming #RvsPython
#DataAnalysis #Statistics #AcademicResearch
#Developers #MachineLearning
#DataVisualization #RStudio #Python #DataManipulation
@datapatashala_official
174.9K
JEComment “project” for my full video that breaks each of these projects down in detail with examples from my own work.
If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude!
Here are the 3 types of projects you need:
↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables
↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one.
↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it
Save this video for later + send to a data friend!
@jessramosdata
✨ #Python Data Analysis Notebook Charts発見ガイド
Instagramには#Python Data Analysis Notebook Charts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。
#Python Data Analysis Notebook Charts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、@mohcinale, @studymuch.in and @zuhrah.tech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。
#Python Data Analysis Notebook Charts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: @mohcinale, @studymuch.in, @zuhrah.techなどがコミュニティをリード
#Python Data Analysis Notebook Charts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#Python Data Analysis Notebook Charts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1.4M回の再生（平均の2.4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
✨ 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
📹 #Python Data Analysis Notebook Charts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
✍️ 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597文字
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Python Data Analysis Notebook Chartsを探索#notebook#python#notebooking#python data analysis#analysis data#data charting#data analysi#pythonical