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#Dataframe Reel by @programaconmica - Desafio de datos con python! Leer un archivo CSV e imprimir su contenido. import pandas as pd df = pd.read_csv('datos.csv') # lee csv en un data fra
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@programaconmica
Desafio de datos con python! Leer un archivo CSV e imprimir su contenido. import pandas as pd df = pd.read_csv(‘datos.csv’) # lee csv en un data frame print(df) print(df.to_string()) # imprime todo el contenido del data frame (sino se imprime solo las primeras y ultimas 5 filas) # Explicación: Este desafío te introduce a la biblioteca Pandas, que es esencial para la manipulación y análisis de datos en Python. Aprenderás a leer archivos CSV y a trabajar con DataFrames, que son estructuras de datos tabulares similares a las hojas de cálculo.
#Dataframe Reel by @electrical_and_electronics_cs - 🚗 CAN vs. CAN FD - What's the Difference? 🔍⚡ Ever wondered how CAN (Controller Area Network) has evolved to meet the growing demands of modern auto
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@electrical_and_electronics_cs
🚗 CAN vs. CAN FD – What’s the Difference? 🔍⚡ Ever wondered how CAN (Controller Area Network) has evolved to meet the growing demands of modern automotive & industrial applications? Let’s break it down! 🛠️ 🔹 Classic CAN (ISO 11898-1) ✅ Data Rate: Up to 1 Mbps 📡 ✅ Frame Size: 8 bytes max per message 📏 ✅ Error Handling: Robust with CRC checks ✅ ✅ Applications: Traditional automotive ECUs, industrial automation ⚙️ 🔹 CAN FD (Flexible Data-rate, ISO 11898-1:2015) 🚀 Higher Speed: Supports up to 8 Mbps ⚡ 📦 Larger Payload: Expands data frame size up to 64 bytes 🏗️ 🔄 Flexible Bit Rate: Uses dual-phase transmission for efficiency 🔁 🔐 Improved Security & Reliability: Enhanced CRC for better error detection 🔎 📌 Why Upgrade to CAN FD? 🔹 Handles large sensor data for ADAS & autonomous systems 🚘 🔹 Reduces bus load & latency in high-performance applications 🏎️ 🔹 Supports OTA updates & real-time diagnostics 🔧 💡 The future of in-vehicle networking is shifting towards CAN FD! Are you ready for the upgrade? Let’s discuss in the comments! 👇 #CAN #CANFD #Automotive #EmbeddedSystems #VehicleNetworking #ADAS #ECU #Autosar #AutomotiveTechnology #ElectricVehicles #ControlSystems #CANBus #FlexRay #EmbeddedSoftware #Mobility #IoT #DataTransmission #ChetanShidling #CSElectricalAndElectronics #EEE
#Dataframe Reel by @atlasberry008 (verified account) - Anthropic just signed the largest compute deal in company history - taking 300 megawatts and 220,000 Nvidia GPUs from SpaceX's Colossus 1 data center.
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@atlasberry008
Anthropic just signed the largest compute deal in company history — taking 300 megawatts and 220,000 Nvidia GPUs from SpaceX’s Colossus 1 data center. Most AI commentary will frame this as Anthropic getting humbled. That’s the wrong read. The real story is what SpaceX has quietly become. A rocket company is now the most strategically positioned compute platform in AI — selling capacity to the labs that compete with their own xAI subsidiary. The companies you compete with today are the companies you depend on tomorrow. If you like this kind of thing and want to stay close — join our community Frontier. Link in bio. #venturecapital #founder #AI #SpaceX #compute
#Dataframe Reel by @johnnyctaylorjr (verified account) - April 2023. ChatGPT was new. I was in a room full of academics, CEOs, and data scientists. The question on the table was: "What will AI take?" Nobody
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@johnnyctaylorjr
April 2023. ChatGPT was new. I was in a room full of academics, CEOs, and data scientists. The question on the table was: "What will AI take?" Nobody was asking: "What can it make possible?" So I offered them a new frame: AI + HI = ROI. The mood in the room changed. Because most people had never been given a way to think about AI that didn't start with loss. Technology has always changed how we work. The leaders who get it right focus on one thing — making sure their people are ready for what's next. Watch the full video. #SHRM #HR #FutureOfWork #AI #HumanIntelligence #Leadership #SHRMAIHI
#Dataframe Reel by @otaku553 - Using my powers for evil and evil is trying not to have any hidden cells on my spreadsheet Really if I put in the effort for it a data frame would be
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@otaku553
Using my powers for evil and evil is trying not to have any hidden cells on my spreadsheet Really if I put in the effort for it a data frame would be so good for this 😭 but do I really want to be pulling up to conventions with vscode
#Dataframe Reel by @sagar_695 - Pandas isn't slow. Your code is. Here's what's secretly killing your performance: 1️⃣ You're Using apply() on a DataFrame This is the #1 Pandas mist
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@sagar_695
Pandas isn’t slow. Your code is. Here’s what’s secretly killing your performance: 1️⃣ You’re Using apply() on a DataFrame This is the #1 Pandas mistake. • apply() is essentially a slow Python loop • It doesn’t leverage vectorisation df[‘A’] + df[‘B’] 👉 Vectorized operations can be 10–100x faster. 2️⃣ You’re Growing a DataFrame Inside a Loop Avoid using append() or pd.concat() repeatedly in a loop. • Each iteration copies the entire DataFrame • This leads to O(n²) time complexity ✅ Better approach: • Collect data in a list • Create the DataFrame once: data = [] # append rows to list df = pd.DataFrame(data) 👉 This alone can save minutes of execution time. 3️⃣ You’re Loading Unnecessary Data Don’t blindly load entire datasets. pd.read_csv(‘huge_file.csv’, usecols=[‘A’, ‘B’, ‘C’]) 👉 Loading only required columns: • Reduces memory usage • Speeds up I/O significantly 4️⃣ You’re Not Using Categorical Data Types If a column has repeated string values (e.g., country, gender): df[‘col’] = df[‘col’].astype(‘category’) 👉 Benefits: • Up to 10x less memory usage • Faster groupby and aggregations 5️⃣ (Often Missed) You’re Not Vectorizing String or Datetime Operations Using Python loops for: • String processing • Datetime parsing df[‘col’].str.lower() df[‘date’] = pd.to_datetime(df[‘date’]) 6️⃣ Inefficient groupby / merge Usage • Large joins without indexing can be slow • Repeated groupby operations are expensive 👉 Optimize by: • Sorting / indexing before joins • Reducing repeated computations 7️⃣ Not Using Chunking for Large Files For very large datasets: pd.read_csv(‘file.csv’, chunksize=10000) 👉 Prevents memory overload and improves performance. 💡 Key Insight Pandas is optimized in C under the hood. The moment you fall back to Python loops, you lose all that performance. Stop blaming Pandas. Start fixing your patterns. (Pandas Optimization, Vectorization, apply vs vectorization, DataFrame Performance, Python Performance, Data Processing, Memory Optimization, Efficient Coding, GroupBy Optimization, Large Dataset Handling) #techinterviews #pandas #python
#Dataframe Reel by @jasonquantum1 - Holographic Interference Engine: A New Standard for Rendering Current graphics systems rasterize data frame by frame. They rely on heavy storage, del
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@jasonquantum1
Holographic Interference Engine: A New Standard for Rendering Current graphics systems rasterize data frame by frame. They rely on heavy storage, delta compression, and endless refresh cycles to approximate motion. This is computationally expensive and fundamentally inefficient. Quantum Information Holography offers a direct replacement. Instead of storing every pixel of every frame, the system encodes only the frequency and amplitude of each component state. Each component is a rotating basis state; the complete picture emerges from their interference. The image is not drawn — it is reconstructed natively through constructive and destructive overlap. The result is high-fidelity signal reconstruction, with compression ratios on the order of seven hundred fifty thousand to one, and modeled rendering speeds approaching one million frames per second. No new hardware is required — the entire process can be implemented in software, replacing rasterization with interference as the core rendering method. Black holes already operate on this principle, encoding three-dimensional information in two-dimensional horizons. By mapping Fourier-decomposed spin states onto Bloch spheres, the same mathematics can extend to four-dimensional interference patterns. This is not speculation; it is the geometry of information itself. The Interference Engine is the bridge: software that renders with the same efficiency the universe already uses. 👉 Please Consider Subscribing Here: https://www.facebook.com/100063489523265/subscribe/ (Patent Pending)
#Dataframe Reel by @wscubetechindia (verified account) - Comment "Data" to get the program link! Learning of the day? Use fillna() function in Python to replace null values in a data frame with a specified
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@wscubetechindia
Comment “Data” to get the program link! Learning of the day? Use fillna() function in Python to replace null values in a data frame with a specified value Tell us in the comments, did you know this? And for expert mentorship, quick doubt resolution, and master data analytics Check out WsCube’s 20-week Data Analytics Mentorship Program. Applications for the latest Cohort are Open! Apply Now! 🤫Secret: Apply asap to avail exciting offers and discounts Hurry, Comment for the link. #WsCubeTech #Wscube #Dataiscareer #2025 #Upskill2025 #dataanalytics
#Dataframe Reel by @themagus444 (verified account) - Japan's space agency has just released breathtaking new footage of the interstellar object 3I ATLAS - and it's raising some of the most serious scient
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@themagus444
Japan’s space agency has just released breathtaking new footage of the interstellar object 3I ATLAS — and it’s raising some of the most serious scientific questions we’ve faced in years. The video shows pulsating lights and movements so controlled that some researchers are openly considering the once-unthinkable possibility: this object might not be natural at all. 3I ATLAS has already been a cosmic enigma since the moment it entered our solar system. Originating from beyond our Sun’s gravitational reach and travelling at extraordinary speeds, its trajectory has always been unusual. But now, with Japan’s high-resolution footage, the mystery has deepened. The rhythmic pulses look almost deliberate, and the object’s precision-controlled motion doesn’t match any behaviour seen in known comets, asteroids or debris. These anomalies have ignited intense debate within scientific circles. Could 3I ATLAS be a probe? A fragment of ancient alien technology? A piece of engineered material drifting through interstellar space? While it sounds like science fiction, researchers are analysing the data frame by frame, looking for clues in its composition, direction shifts and energy signatures. So far, no natural explanation fully accounts for what the footage shows. For astronomers and space enthusiasts, this is a once-in-a-generation moment. Interstellar objects pass through our system more often than we realise, but we rarely have the technology or reaction speed to study them. Now, with global cooperation and modern telescopes, humanity is finally seeing these cosmic wanderers up close — and what we’re seeing challenges our oldest assumptions. Whether 3I ATLAS turns out to be a natural traveller or something more extraordinary, it’s a reminder that the universe is full of surprises. The skies are vast, and mysteries like this show just how much we still have to learn. Disclaimer: This content may not be factual or verified. #444energy #spiritualmagus #fyp #viral #trending #DeepUniverse #3IATLAS #InterstellarObject #SpaceFootage
#Dataframe Reel by @sciencyelmira - Her hobby was overworking 🫠 Working on the manuscript as crazy running multiple analysis at one time. Learning something new everyday. Today I de
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@sciencyelmira
Her hobby was overworking 🫠 Working on the manuscript as crazy running multiple analysis at one time. Learning something new everyday. Today I decided to learn how to process fastq files 😀 I person who had R studio installed for 5 years and kept forgetting how to open data frame. Proud of my self a little bit.
#Dataframe Reel by @codeinqueries - Delete existing column from the data frame. . . . #100daysofcode #100days100questions #sql #sqlserver #mongodb #communication #itskills #interviewti
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@codeinqueries
Delete existing column from the data frame. . . . #100daysofcode #100days100questions #sql #sqlserver #mongodb #communication #itskills #interviewtips #sqlinterview #gcp #bigquery #dataanalysis #iphoneonly #businessintelligence #busineesanalyst #datascience #dataanalytics #python #coding #criticalthinking #azure #powerbi #fiserv #ssis #adf #etl #trending #funny #bangalore
#Dataframe Reel by @theaipage (verified account) - 4DV.ai is showing a different path for AI video, and it looks closer to reality than most people expected this soon. Instead of generating frames fro
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@theaipage
4DV.ai is showing a different path for AI video, and it looks closer to reality than most people expected this soon. Instead of generating frames from scratch, their system uses something called 4D Gaussian splatting. It rebuilds real scenes from video data, frame by frame, turning flat footage into a fully explorable 3D world you can move around in. That’s why it looks so real. It’s not guessing or “hallucinating” details like many generative models. It’s fitting directly to real data, which avoids the visual artifacts people often complain about in tools like Nvidia’s DLSS. The result is something closer to reconstruction than generation. And it opens the door to things like free-viewpoint video, VR scenes you can walk through, and a new type of content that feels less artificial. Follow @theaipage for daily updates on AI, robotics, and technologies shaping the future. [ Credits - 4dv.ai ] #ArtificialIntelligence #4D #ComputerVision

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#Dataframe is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @theaipage, @sagar_695 and @atlasberry008 are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

What's trending in #Dataframe? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.

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