Consolidate, enrich and analyze the data gathered by warn-scraper

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for palewire from gravatar.com palewire

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

Links

About

The project is sponsored by Big Local News, a program at Stanford University that collects data for impactful journalism. The code is maintained by Ben Welsh, a visiting data journalist from the Los Angeles Times.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for palewire from gravatar.com palewire

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.3.386

1.3.385

1.3.384

1.3.383

1.3.382

1.3.381

1.3.380

This version

1.3.379

1.3.378

1.3.377

1.3.376

1.3.375

1.3.374

1.3.373

1.3.372

1.3.371

1.3.370

1.3.369

1.3.368

1.3.367

1.3.366

1.3.365

1.3.364

1.3.363

1.3.362

1.3.361

1.3.360

1.3.359

1.3.358

1.3.357

1.3.356

1.3.355

1.3.354

1.3.353

1.3.352

1.3.351

1.3.350

1.3.349

1.3.348

1.3.347

1.3.346

1.3.345

1.3.344

1.3.343

1.3.342

1.3.341

1.3.340

1.3.339

1.3.338

1.3.337

1.3.336

1.3.335

1.3.334

1.3.333

1.3.332

1.3.331

1.3.330

1.3.329

1.3.328

1.3.327

1.3.326

1.3.325

1.3.324

1.3.323

1.3.322

1.3.321

1.3.320

1.3.319

1.3.318

1.3.317

1.3.316

1.3.315

1.3.314

1.3.313

1.3.312

1.3.311

1.3.310

1.3.309

1.3.308

1.3.307

1.3.306

1.3.305

1.3.304

1.3.303

1.3.302

1.3.301

1.3.300

1.3.299

1.3.298

1.3.297

1.3.296

1.3.295

1.3.294

1.3.293

1.3.292

1.3.291

1.3.290

1.3.289

1.3.288

1.3.287

1.3.286

1.3.285

1.3.284

1.3.283

1.3.282

1.3.281

1.3.280

1.3.279

1.3.278

1.3.277

1.3.276

1.3.275

1.3.274

1.3.273

1.3.272

1.3.271

1.3.270

1.3.269

1.3.268

1.3.267

1.3.266

1.3.265

1.3.264

1.3.263

1.3.262

1.3.261

1.3.260

1.3.259

1.3.258

1.3.257

1.3.256

1.3.255

1.3.254

1.3.253

1.3.252

1.3.251

1.3.250

1.3.249

1.3.248

1.3.247

1.3.246

1.3.245

1.3.244

1.3.243

1.3.242

1.3.241

1.3.240

1.3.239

1.3.238

1.3.237

1.3.236

1.3.235

1.3.234

1.3.233

1.3.232

1.3.231

1.3.230

1.3.229

1.3.228

1.3.227

1.3.226

1.3.224

1.3.223

1.3.222

1.3.221

1.3.220

1.3.219

1.3.218

1.3.217

1.3.216

1.3.215

1.3.214

1.3.213

1.3.212

1.3.211

1.3.210

1.3.209

1.3.208

1.3.207

1.3.206

1.3.205

1.3.204

1.3.203

1.3.202

1.3.201

1.3.199

1.3.198

1.3.197

1.3.196

1.3.195

1.3.194

1.3.193

1.3.192

1.3.191

1.3.190

1.3.189

1.3.188

1.3.187

1.3.186

1.3.185

1.3.184

1.3.183

1.3.182

1.3.181

1.3.180

1.3.179

1.3.178

1.3.177

1.3.176

1.3.175

1.3.174

1.3.173

1.3.172

1.3.171

1.3.170

1.3.169

1.3.168

1.3.167

1.3.166

1.3.165

1.3.164

1.3.163

1.3.162

1.3.161

1.3.160

1.3.159

1.3.158

1.3.157

1.3.156

1.3.154

1.3.153

1.3.152

1.3.151

1.3.150

1.3.149

1.3.148

1.3.147

1.3.146

1.3.145

1.3.143

1.3.142

1.3.141

1.3.140

1.3.139

1.3.138

1.3.137

1.3.136

1.3.135

1.3.134

1.3.133

1.3.132

1.3.131

1.3.130

1.3.129

1.3.128

1.3.127

1.3.126

1.3.125

1.3.124

1.3.123

1.3.122

1.3.121

1.3.120

1.3.119

1.3.118

1.3.117

1.3.116

1.3.115

1.3.114

1.3.113

1.3.112

1.3.111

1.3.110

1.3.109

1.3.108

1.3.107

1.3.106

1.3.105

1.3.104

1.3.103

1.3.102

1.3.101

1.3.100

1.3.99

1.3.98

1.3.97

1.3.96

1.3.95

1.3.94

1.3.93

1.3.92

1.3.91

1.3.90

1.3.89

1.3.88

1.3.87

1.3.86

1.3.85

1.3.84

1.3.83

1.3.82

1.3.81

1.3.80

1.3.79

1.3.78

1.3.77

1.3.76

1.3.75

1.3.74

1.3.72

1.3.71

1.3.70

1.3.69

1.3.68

1.3.67

1.3.66

1.3.65

1.3.64

1.3.63

1.3.62

1.3.61

1.3.60

1.3.59

1.3.58

1.3.57

1.3.56

1.3.55

1.3.54

1.3.53

1.3.52

1.3.51

1.3.50

1.3.49

1.3.48

1.3.47

1.3.46

1.3.45

1.3.44

1.3.43

1.3.42

1.3.41

1.3.40

1.3.39

1.3.38

1.3.37

1.3.36

1.3.35

1.3.34

1.3.33

1.3.32

1.3.31

1.3.30

1.3.29

1.3.28

1.3.27

1.3.26

1.3.25

1.3.24

1.3.23

1.3.22

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.0

1.2.2

1.2.1

1.2.0

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.1

1.0.0

0.2.0

0.1.0

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.12

0.0.11

0.0.10

0.0.9

0.0.7

0.0.6

0.0.5

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

warn_transformer-1.3.379.tar.gz (25.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

warn_transformer-1.3.379-py3-none-any.whl (70.8 kB view details)

Uploaded Python 3

File details

Details for the file warn_transformer-1.3.379.tar.gz.

File metadata

  • Download URL: warn_transformer-1.3.379.tar.gz
  • Upload date:
  • Size: 25.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for warn_transformer-1.3.379.tar.gz
Algorithm Hash digest
SHA256 54836736b0e8d251a7a4ba78247d9b5802835597e78c10548c52989b0a4347ae
MD5 8268c9c8062b34ca50630e48e8dbf8ef
BLAKE2b-256 c7f0316146ef3225d51f3dd080f181ce9f9edda77402a2444b1ffd16ac46925c

See more details on using hashes here.

File details

Details for the file warn_transformer-1.3.379-py3-none-any.whl.

File metadata

File hashes

Hashes for warn_transformer-1.3.379-py3-none-any.whl
Algorithm Hash digest
SHA256 d45c0223b4b7e72eeac16d0c998f2a7097caa4c29a4199176a12e2119a799e95
MD5 7332f8f27eebf75af6da4f6197153631
BLAKE2b-256 89a3d7e9453021a7c1ca54a8354f5f37e60d52026c37fce1a911e09858e8b77b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page