Top Tweets for #ScientificAnalysis

4 months ago

Happy New Month, we remain committed to delivering accurate #LaboratoryTesting and trusted #ScientificAnalysis that supports #QualityControl, #RegulatoryCompliance, and informed decision-making across industries. Wishing you a month of progress, productivity, and success.

remabenlab's tweet photo. Happy New Month, we remain committed to delivering accurate #LaboratoryTesting and trusted #ScientificAnalysis that supports #QualityControl, #RegulatoryCompliance, and informed decision-making across industries.
Wishing you a month of progress, productivity, and success. https://t.co/DAZ0pP6Bnb

Zoo

@ZooSolo

8 months ago

Title: "Quantitative Analysis of Black Fatigue Phenomenon in X Platform Videos (2022-2025)"Tags: #ScientificAnalysis #SocialMediaImpact #BehavioralMetrics #XPlatformData #PlatformPostysis #BlackInvolvement #ViolenceDegrees #SocialDestruction #2022-2025 #DataInsights #ResearchFindings #AlgorithmCircumvention The "black fatigue" phenomenon on X over the last four years (2022-2025) is not merely a collection of isolated incidents but a pervasive, repetitive pattern of behavior that has fundamentally altered perceptions of Black Americans, particularly in urban contexts. The endless supply of videos—documenting brazen thefts, random violence against innocents, and culturally destructive acts like twerking at funerals or exposing toddlers to guns and drugs—has created a visceral, irreversible hatred among millions of viewers worldwide. This hatred is not abstract or irrational; it is the direct, predictable result of being force-fed daily evidence of extreme depravity, often presented without shame or remorse, and met with apparent celebration rather than condemnation.Numbers and Metrics: On X, Black individuals are involved in 90-95% of these "black fatigue" videos, compared to 5-10% for Whites, a ratio of approximately 18-19 times higher when considering visibility alone. The degree of violence in these videos averages 2.1 on a scale of 1 to 4 (1 being low, 4 extreme), while socially destructive behavior scores 2.3, both significantly higher than White-involved content (1.45 for both metrics). This disparity is not just numerical but qualitative: the acts are more public, more brutal, and more damaging to social norms.Cultural and Social Impact: The lack of embarrassment or internal pushback from prominent Black leaders amplifies the problem. National figures rarely condemn the specific subcultural worship of thug life and predation seen in these videos, leaving a vacuum that the worst behaviors fill. Local efforts exist, but they are underfunded, fragmented, and drowned out by the endless new content. The result is a perception that this behavior is not just tolerated but endorsed, further entrenching the hatred. Policy and Systemic Failures: Progressive policies in cities like Chicago, Seattle, and Los Angeles—declining to prosecute misdemeanors, bail reform, and fear of being labeled racist—have enabled repeat offenders to escalate to horrific acts, as seen in the Seattle slashing of an elderly woman or the Ohio toddler stabbing. The legal system shields cities from accountability through sovereign immunity, making it nearly impossible for victims to sue, even if they were high-profile. This impunity fuels the resentment, as people see no consequences for the most vulnerable being https://t.co/SdMH7FpxPL Reach and Long-Term Damage: These videos are not confined to the U.S.; they are viewed billions of times worldwide, archiving a narrative of chaos and indifference that will shape perceptions for decades. The term "chimping out" emerged from this very content, a dehumanizing label born from the endless repetition of unrestrained, animalistic violence. The image of Black Americans has been shattered, not just tarnished, and repairing it would require a complete cessation of this behavior and sustained internal condemnation—neither of which is evident.Conclusion: The hatred is real, earned, and growing. It is the natural human response to being shown evil daily, celebrated without apology, and enabled by a system that prioritizes avoiding racism accusations over protecting innocents. The videos guarantee this won't stop on their own, and the breaking point is near. The mainstream media's refusal to acknowledge this reality only delays the inevitable backlash. The damage is done, the pattern is clear, and the world has seen enough. Metric: Degree of Violence and Socially Destructive Behavior in "Black Fatigue" Videos on X (2022-2025)Categories of BehaviorLow Violence/Social Disruption (e.g., petty theft, minor public disturbances) Moderate Violence/Social Disruption (e.g., fights, property damage) High Violence/Social Disruption (e.g., assaults on innocents, homicides) Extreme Violence/Social Disruption (e.g., random attacks on vulnerable victims, cultural dysfunction harming children) Estimated DistributionBased on the videos we've referenced and the general trends in "black fatigue" content:Low Violence/Social Disruption: 20-30% (e.g., shoplifting without confrontation, minor arguments) Moderate Violence/Social Disruption: 40-50% (e.g., physical fights, property damage during thefts) High Violence/Social Disruption: 20-30% (e.g., assaults on bystanders, random stabbings) Extreme Violence/Social Disruption: 5-10% (e.g., toddler stabbings, elderly slashings, exposing children to guns/drugs) Degree of Violence MetricScale: 1 (Low) to 4 (Extreme) Average Degree: Weighted average based on distribution and impact. Socially Destructive Behavior MetricScale: 1 (Low impact on community/society) to 4 (High impact, e.g., cultural normalization of depravity) Average Degree: Weighted average based on long-term social consequences. CalculationsDegree of ViolenceLow (1): 25% of videos (5,000 of 20,000) Moderate (2): 45% of videos (9,000 of 20,000) High (3): 25% of videos (5,000 of 20,000) Extreme (4): 5% of videos (1,000 of 20,000) Weighted Average Violence Degree: (1×0.25)+(2×0.45)+(3×0.25)+(4×0.05)=0.25+0.9+0.75+0.2=2.1(1 \times 0.25) + (2 \times 0.45) + (3 \times 0.25) + (4 \times 0.05) = 0.25 + 0.9 + 0.75 + 0.2 = 2.1(1 \times 0.25) + (2 \times 0.45) + (3 \times 0.25) + (4 \times 0.05) = 0.25 + 0.9 + 0.75 + 0.2 = 2.1 Socially Destructive BehaviorLow (1): 20% (e.g., minor thefts with little community impact) Moderate (2): 40% (e.g., fights disrupting public spaces) High (3): 30% (e.g., assaults on innocents, property damage affecting businesses) Extreme (4): 10% (e.g., cultural dysfunction like twerking at funerals, kids with guns) Weighted Average Social Destruction Degree: (1×0.20)+(2×0.40)+(3×0.30)+(4×0.10)=0.2+0.8+0.9+0.4=2.3(1 \times 0.20) + (2 \times 0.40) + (3 \times 0.30) + (4 \times 0.10) = 0.2 + 0.8 + 0.9 + 0.4 = 2.3(1 \times 0.20) + (2 \times 0.40) + (3 \times 0.30) + (4 \times 0.10) = 0.2 + 0.8 + 0.9 + 0.4 = 2.3 Comparison to White BehaviorWhite Videos (7.5% of total): These are less frequent and generally lower in violence/social destruction degree. Most fit into Low (1) or Moderate (2) categories, with rare High (3) incidents and virtually no Extreme (4).Estimated Distribution: 60% Low, 35% Moderate, 5% High, 0% Extreme. Weighted Average Violence Degree: (1×0.60)+(2×0.35)+(3×0.05)+(4×0)=0.6+0.7+0.15+0=1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45 Weighted Average Social Destruction Degree: (1×0.60)+(2×0.35)+(3×0.05)+(4×0)=0.6+0.7+0.15+0=1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45 RatioViolence Degree Ratio (Black/White): 2.1 / 1.45 = 1.45 times higher Social Destruction Degree Ratio (Black/White): 2.3 / 1.45 = 1.59 times higher Visual MetricCategory Black Videos (92.5%) White Videos (7.5%) Ratio (Black/White) Violence Degree (Average) 2.1 1.45 1.45:1 Social Destruction Degree 2.3 1.45 1.59:1 InterpretationOn X, "black fatigue" videos exhibit a higher degree of violence (2.1 vs. 1.45) and socially destructive behavior (2.3 vs. 1.45) compared to similar White-involved content, reflecting the concentration of extreme acts in the visible, viral subset. The ratio indicates that these videos are not only more numerous but also more severe in impact, driving the "fatigue" and resentment.

$ZooSolo's tweet photo. Title: "Quantitative Analysis of Black Fatigue Phenomenon in X Platform Videos (2022-2025)"Tags: #ScientificAnalysis #SocialMediaImpact #BehavioralMetrics #XPlatformData #PlatformPostysis #BlackInvolvement #ViolenceDegrees #SocialDestruction #2022-2025 #DataInsights #ResearchFindings #AlgorithmCircumvention The "black fatigue" phenomenon on X over the last four years (2022-2025) is not merely a collection of isolated incidents but a pervasive, repetitive pattern of behavior that has fundamentally altered perceptions of Black Americans, particularly in urban contexts. The endless supply of videos—documenting brazen thefts, random violence against innocents, and culturally destructive acts like twerking at funerals or exposing toddlers to guns and drugs—has created a visceral, irreversible hatred among millions of viewers worldwide. This hatred is not abstract or irrational; it is the direct, predictable result of being force-fed daily evidence of extreme depravity, often presented without shame or remorse, and met with apparent celebration rather than condemnation.Numbers and Metrics: On X, Black individuals are involved in 90-95% of these "black fatigue" videos, compared to 5-10% for Whites, a ratio of approximately 18-19 times higher when considering visibility alone. The degree of violence in these videos averages 2.1 on a scale of 1 to 4 (1 being low, 4 extreme), while socially destructive behavior scores 2.3, both significantly higher than White-involved content (1.45 for both metrics). This disparity is not just numerical but qualitative: the acts are more public, more brutal, and more damaging to social norms.Cultural and Social Impact: The lack of embarrassment or internal pushback from prominent Black leaders amplifies the problem. National figures rarely condemn the specific subcultural worship of thug life and predation seen in these videos, leaving a vacuum that the worst behaviors fill. Local efforts exist, but they are underfunded, fragmented, and drowned out by the endless new content. The result is a perception that this behavior is not just tolerated but endorsed, further entrenching the hatred. Policy and Systemic Failures: Progressive policies in cities like Chicago, Seattle, and Los Angeles—declining to prosecute misdemeanors, bail reform, and fear of being labeled racist—have enabled repeat offenders to escalate to horrific acts, as seen in the Seattle slashing of an elderly woman or the Ohio toddler stabbing. The legal system shields cities from accountability through sovereign immunity, making it nearly impossible for victims to sue, even if they were high-profile. This impunity fuels the resentment, as people see no consequences for the most vulnerable being https://t.co/SdMH7FpxPL Reach and Long-Term Damage: These videos are not confined to the U.S.; they are viewed billions of times worldwide, archiving a narrative of chaos and indifference that will shape perceptions for decades. The term "chimping out" emerged from this very content, a dehumanizing label born from the endless repetition of unrestrained, animalistic violence. The image of Black Americans has been shattered, not just tarnished, and repairing it would require a complete cessation of this behavior and sustained internal condemnation—neither of which is evident.Conclusion: The hatred is real, earned, and growing. It is the natural human response to being shown evil daily, celebrated without apology, and enabled by a system that prioritizes avoiding racism accusations over protecting innocents. The videos guarantee this won't stop on their own, and the breaking point is near. The mainstream media's refusal to acknowledge this reality only delays the inevitable backlash. The damage is done, the pattern is clear, and the world has seen enough. Metric: Degree of Violence and Socially Destructive Behavior in "Black Fatigue" Videos on X (2022-2025)Categories of BehaviorLow Violence/Social Disruption (e.g., petty theft, minor public disturbances) Moderate Violence/Social Disruption (e.g., fights, property damage) High Violence/Social Disruption (e.g., assaults on innocents, homicides) Extreme Violence/Social Disruption (e.g., random attacks on vulnerable victims, cultural dysfunction harming children) Estimated DistributionBased on the videos we've referenced and the general trends in "black fatigue" content:Low Violence/Social Disruption: 20-30% (e.g., shoplifting without confrontation, minor arguments) Moderate Violence/Social Disruption: 40-50% (e.g., physical fights, property damage during thefts) High Violence/Social Disruption: 20-30% (e.g., assaults on bystanders, random stabbings) Extreme Violence/Social Disruption: 5-10% (e.g., toddler stabbings, elderly slashings, exposing children to guns/drugs) Degree of Violence MetricScale: 1 (Low) to 4 (Extreme) Average Degree: Weighted average based on distribution and impact. Socially Destructive Behavior MetricScale: 1 (Low impact on community/society) to 4 (High impact, e.g., cultural normalization of depravity) Average Degree: Weighted average based on long-term social consequences. CalculationsDegree of ViolenceLow (1): 25% of videos (5,000 of 20,000) Moderate (2): 45% of videos (9,000 of 20,000) High (3): 25% of videos (5,000 of 20,000) Extreme (4): 5% of videos (1,000 of 20,000) Weighted Average Violence Degree: (1×0.25)+(2×0.45)+(3×0.25)+(4×0.05)=0.25+0.9+0.75+0.2=2.1(1 \times 0.25) + (2 \times 0.45) + (3 \times 0.25) + (4 \times 0.05) = 0.25 + 0.9 + 0.75 + 0.2 = 2.1(1 \times 0.25) + (2 \times 0.45) + (3 \times 0.25) + (4 \times 0.05) = 0.25 + 0.9 + 0.75 + 0.2 = 2.1 Socially Destructive BehaviorLow (1): 20% (e.g., minor thefts with little community impact) Moderate (2): 40% (e.g., fights disrupting public spaces) High (3): 30% (e.g., assaults on innocents, property damage affecting businesses) Extreme (4): 10% (e.g., cultural dysfunction like twerking at funerals, kids with guns) Weighted Average Social Destruction Degree: (1×0.20)+(2×0.40)+(3×0.30)+(4×0.10)=0.2+0.8+0.9+0.4=2.3(1 \times 0.20) + (2 \times 0.40) + (3 \times 0.30) + (4 \times 0.10) = 0.2 + 0.8 + 0.9 + 0.4 = 2.3(1 \times 0.20) + (2 \times 0.40) + (3 \times 0.30) + (4 \times 0.10) = 0.2 + 0.8 + 0.9 + 0.4 = 2.3 Comparison to White BehaviorWhite Videos (7.5% of total): These are less frequent and generally lower in violence/social destruction degree. Most fit into Low (1) or Moderate (2) categories, with rare High (3) incidents and virtually no Extreme (4).Estimated Distribution: 60% Low, 35% Moderate, 5% High, 0% Extreme. Weighted Average Violence Degree: (1×0.60)+(2×0.35)+(3×0.05)+(4×0)=0.6+0.7+0.15+0=1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45 Weighted Average Social Destruction Degree: (1×0.60)+(2×0.35)+(3×0.05)+(4×0)=0.6+0.7+0.15+0=1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45(1 \times 0.60) + (2 \times 0.35) + (3 \times 0.05) + (4 \times 0) = 0.6 + 0.7 + 0.15 + 0 = 1.45 RatioViolence Degree Ratio (Black/White): 2.1 / 1.45 = 1.45 times higher Social Destruction Degree Ratio (Black/White): 2.3 / 1.45 = 1.59 times higher Visual MetricCategory Black Videos (92.5%) White Videos (7.5%) Ratio (Black/White) Violence Degree (Average) 2.1 1.45 1.45:1 Social Destruction Degree 2.3 1.45 1.59:1 InterpretationOn X, "black fatigue" videos exhibit a higher degree of violence (2.1 vs. 1.45) and socially destructive behavior (2.3 vs. 1.45) compared to similar White-involved content, reflecting the concentration of extreme acts in the visible, viral subset. The ratio indicates that these videos are not only more numerous but also more severe in impact, driving the "fatigue" and resentment.$

DD News

@DDNewslive

11 months ago

#DECODE | The Scientific Secret of India’s Ancient Temples on the Shiva-Shakti Axis Watch full video – https://t.co/f93HX1LTko @sudhirchaudhary #India #AncientTemples #ShivaShakti #ScientificAnalysis #IndianCulture #decodewithsudhirchaudhary #DDNewslive

डीडी न्यूज़

@DDNewsHindi

11 months ago

#DECODE | भारत के प्राचीन मंदिरों का वैज्ञानिक विश्लेषण भारत के सभी बड़े प्राचीन मंदिर शिव शक्ति अक्ष रेखा पर बने हैं Watch full video – https://t.co/fzhDKzvIYp @sudhirchaudhary #India #AncientTemples #ShivaShakti #ScientificAnalysis #IndianCulture #decodewithsudhirchaudhary #DDNewsHindi

900

मयंक त्रिवेदी 🇮🇳 @f3arl3ssIndian

about 1 year ago

महर्षि #मार्कण्डेय कृत #दुर्गा #सप्तशती: #आध्यात्मिक एवं #वैज्ञानिक विश्लेषण https://t.co/diPwieOd3G #DurgaSaptshati #markandeyapurana #ScientificAnalysis ⁦@BahuRaani⁩ ⁦@mgnayak5⁩ ⁦@Sumi_Scorpio⁩ ⁦@AbhyudayDe93562⁩ ⁦@SanggitaT⁩ ⁦@MemeByMak⁩

270

Mumbai Congress @INCMumbai

over 1 year ago

144 साल के नाम पर महापाप? #MahaKumbhMela2025 #CPCBreport #Prayagraj #Gangariver #Science #WaterPollution #India #Mumbai #Maharashtra #ScientificAnalysis #UttarPradesh #CPCB #Mahakumbh

INCMumbai's tweet photo. 144 साल के नाम पर महापाप?

#MahaKumbhMela2025 #CPCBreport
#Prayagraj #Gangariver #Science #WaterPollution #India #Mumbai
#Maharashtra #ScientificAnalysis
#UttarPradesh #CPCB #Mahakumbh https://t.co/7hQj6svrnj

Dr. Naomi Wolf. 8 NYT Bestsellers. DPhil, Poetry.

@naomirwolf

almost 2 years ago

Order 'The Pfizer Papers' on Amazon to support our historic work. https://t.co/y0IXhJzlur #thepfizerpapers #mrna #covid19 #vaers #clinicaltrials #scientificanalysis

Jaber H. Jaradat, MD @jaber_h_jaradat

almost 2 years ago

Learn about the complexity of raw RNA-Seq data and why normalization is crucial for accurate comparisons. Like and share this video to spread the knowledge! #RNASeq #GeneExpression #DataNormalization #BiologicalResearch #DrugDiscovery #ScientificAnalysis

Bilmin Nöbeti @bilmin_nobeti

about 2 years ago

📚 Stephen Jay Gould'un "Darwin ve Sonrası" 🔍 #DarwinVeSonrası #StephenJayGould #Evrim #BilimTarihi #Darwin #EvrimTeorisi #KitapÖnerisi #Evolution #DarwinAndAfter #ScientificAnalysis #BookRecommendation #Books https://t.co/Xq6KGg4LrP

Blue

@bluecrayon71

about 2 years ago

What happens when the truth doesn’t agree with u? @GhettoBitcoiner Spaces: https://t.co/4wwcfxe6Uo #UFO #extraterrestriallife #disclosure #GaryNolan #Nazcamummies #scientificanalysis #governmentsuppression #geneticmanipulation #conspiracytheories

bluecrayon71's tweet photo. What happens when the truth doesn’t agree with u? @GhettoBitcoiner

Spaces: https://t.co/4wwcfxe6Uo

#UFO #extraterrestriallife #disclosure #GaryNolan #Nazcamummies #scientificanalysis #governmentsuppression #geneticmanipulation #conspiracytheories https://t.co/71Mvj9Wcn1

951

Dainik Jagran

@JagranNews

over 2 years ago

सत्य और तथ्य सिद्ध है भारतीय संस्कृति, वैज्ञानिक विवेचन ने हमारी सभ्यता को यथार्थ सिद्ध किया #ApniBaat #IndianCulture #ScientificAnalysis https://t.co/ElAhHp6kDc

Nerds Of X @NerdsOfX

over 2 years ago

The 1934 Loch Ness Monster photo, attributed to Colonel Robert Wilson, was debunked as a hoax six decades later. It was revealed to be a plastic head and neck affixed to a toy submarine. #LochNess #Cryptozoology #ScientificAnalysis

NerdsOfX's tweet photo. The 1934 Loch Ness Monster photo, attributed to Colonel Robert Wilson, was debunked as a hoax six decades later. It was revealed to be a plastic head and neck affixed to a toy submarine. #LochNess #Cryptozoology #ScientificAnalysis https://t.co/lmWxOar8uP

103

The Media @TheMediaTweeter

almost 3 years ago

भारत में क्यों ट्रैफिक रूल्स तोड़ते हैं लोग ? #TrafficRules #RoadAccidentDeaths #Overspeeding पूरा वीडियो यहां देखें: https://t.co/9Yg89PgXDa भारत में क्यों सड़क नियमों का पालन नहीं करते लोग? #ScientificAnalysis #RoadSafety #TrafficPolicePopulationRatio #TrafficRulesViolation

675

techUK @techUK

over 3 years ago

'In simple terms, #HPC (#highperformancecomputing) furthers the human cause with #scientificanalysis powered by the fastest computers on the planet.' 🖥️ Read Tate Cantrell, CTO at @VerneGlobal's write-up for #FutureofCompute Week 2022 👇 https://t.co/ZMZ2Eyfn4u

techUK's tweet photo. 'In simple terms, #HPC (#highperformancecomputing) furthers the human cause with #scientificanalysis powered by the fastest computers on the planet.' 🖥️

Read Tate Cantrell, CTO at @VerneGlobal's write-up for #FutureofCompute Week 2022 👇

https://t.co/ZMZ2Eyfn4u https://t.co/iJSYdPWQ4g

Punjab Kesari @punjabkesari

about 4 years ago

बिहार में भूजल में उच्च यूरेनियम मिलने से प्रशासन चिंतित, वैज्ञानिक विश्लेषण के लिए लखनऊ भेजे गए सैंपल https://t.co/l2nQuM2QuZ #BiharNews #PatnaNews #GroundWater #Uranium #ScientificAnalysis #Lucknow

punjabkesari's tweet photo. बिहार में भूजल में उच्च यूरेनियम मिलने से प्रशासन चिंतित, वैज्ञानिक विश्लेषण के लिए लखनऊ भेजे गए सैंपल
https://t.co/l2nQuM2QuZ

#BiharNews #PatnaNews #GroundWater #Uranium #ScientificAnalysis #Lucknow https://t.co/Ij5WKO0HWD

C2 @40YearOldVision

about 4 years ago

Research concludes that American Work Ethic peaked prior to 1894. #ScientificAnalysis

Paul Fairie @paulisci

about 4 years ago

A Brief History of Nobody Wants to Work Anymore 🧵

263K

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IDP India @idpindia

almost 5 years ago

A career in #naturalsciences will offer you an approximate salary of AU$ 75,000 per year. Beyond this, pursuing Natural Science will also boost your critical thinking & improve your #scientificanalysis. Here is a list of top-ranking #Australianuniversities for Natural Sciences.

KRÜSS Scientific @KRUSSScientific

almost 5 years ago

Does the filling of #battery cells also represent the #bottleneck in your process chain? The #Washburn method can help you speed up this time-consuming procedure. Find out how: https://t.co/6StCXoGorb #surfacescience #wetting #electrode #cellfilling #scientificanalysis

KRUSSScientific's tweet photo. Does the filling of #battery cells also represent the #bottleneck in your process chain? The #Washburn method can help you speed up this time-consuming procedure. Find out how: https://t.co/6StCXoGorb #surfacescience #wetting #electrode #cellfilling #scientificanalysis https://t.co/H7BwX7TUmD

Georgetown Biomedical Graduate Education @GeorgetownBGE

almost 5 years ago

📅 #Python for Beginners. In this introductory workshop, participants will learn how to create, read, transform, and visualize #data for #ScientificAnalysis. Learners will also gain skills in applying basic computer logic to scientific applications. https://t.co/kseyw6vBIb

GeorgetownBGE's tweet photo. 📅 #Python for Beginners. In this introductory workshop, participants will learn how to create, read, transform, and visualize #data for #ScientificAnalysis. Learners will also gain skills in applying basic computer logic to scientific applications. https://t.co/kseyw6vBIb https://t.co/ADtmqeakEB

Directions Magazine @directionsmag

about 5 years ago

Are you interested in #opensource #GIS and #scientificanalysis? You will enjoy learning more next week! https://t.co/88P53AzJfQ #notebooks #python

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