WinPython 2025-03 b4 of June 15th 2025
Pre-release
Pre-release
Includes also the WheelHouse feature, usable from the "whl" version.
see https://github.com/winpython/winpython/wiki/WheelHouse
| MD5 | SHA-1 | SHA-256 | Binary | Size | blake2b-256 |
|---|---|---|---|---|---|
| 7b37527700e44f43e41792d7dbe85357 | 4374580a8f1fbf7ff7fd9ce0172ff309f59bd17d | 4061f0e936289ca1df48fc8e7357a4c30e6010f053ffd2f986f518a09bbf03e8 | Winpython64-3.12.10.1dotb4.exe | 23 365 014 Bytes | 3c54253a5d750d0666d7824feed59ed3dfd930a3a2902a725e0adc0994ea276a |
| ca07af19a1a478e917e42f2ddf1da252 | abfb6faed15898edfc4e5f3deacf40fe3bce71b0 | 194858b169cb90c993f9dcdb44dfe1f9d01ca347a9dabc50c9c0a4e873cfc016 | Winpython64-3.12.10.1dotb4.zip | 38 455 256 Bytes | 78dd07621cea66ace016b84a0d53fd59892ecc5445b30784356c302169d43a00 |
| 806457d7af03c4d5cd606cfbb1ae9df2 | b785406a118eee92e780a8997857aeba6052dbdc | 18e2bef5ef64cdc9c6ddbfe0f208eebb4292c95689fa75be73af308c4df8a043 | Winpython64-3.12.10.1slimb4.7z | 630 972 599 Bytes | ab2d083172b553e58a182a3c6fc3744437ad42ae4c4c474b8d34af56e2b33678 |
| 763e2b77a52c0061bfc9fc70cbf4511a | f1b0afd43e0cbc60fd6618a3b17480c8564b82b5 | 9302158ca0f6560ce8f2f54ae75f449aba919842c5cb13db9e6c20586f71296a | Winpython64-3.12.10.1slimb4.exe | 631 186 611 Bytes | 1386c055563f3e99f1ad3e9320cb50a0cd97fd87aabdfaa58ae6f3a152533454 |
| 5277b6aea4bf98906bf5c4cf0533df6f | b85b23fe38cee07221394850808e1799b5051cab | 5afde8575350a740b602919d3d110d1d908fd75b919a0992be8cb8c3a9e8b0fa | Winpython64-3.12.10.1whlb4.7z | 670 130 452 Bytes | b7b18287cac2f53a4da815f7bc093c0c746b4464029b2b2092466a227164d13b |
| 607ea81dc92cd10b4b7152180323b839 | c551f330e683b62c9bf5dba39bbd01ca179bebfa | 90587e533b26190f21b97a475511e671a1f427b89c8369de725f64cf4ffefea6 | Winpython64-3.13.5.0dotb4.exe | 25 114 141 Bytes | 31f4687ab31f2b50d9ddd3a1dc1771eb02e234b4aac0fe22fa85b61e8c1d3d17 |
| 0db95502b14063a8d7664f524ca08676 | 43b91b3f222310a0e9c2dec78227bc982dcba8e1 | 64ee08bf64c764ddec818922d2243caabd4d4bc3c785cbbf42982c269986bd7a | Winpython64-3.13.5.0dotb4.zip | 39 998 768 Bytes | 91c0a5c3d0abbfe0577fbd760d825ce9b0969ed9483e136dd0f613c59b0a9a05 |
| a36f4ce9e8bd4f625f990e87fcdb48c4 | 78a3a47ec4b0a3e85e0ff0399a18f76934d097e0 | e5f916466f5293eada25ff85aca35f3fa1c1fdc4e30b0046e50e31ce44a0c5ab | Winpython64-3.13.5.0slimb4.7z | 635 845 572 Bytes | e888edd9419a060aa23c0113381ea1cd6adcbfbe5157278e52da1027281846bb |
| b7783afc33d8282f2fcaa49e12c54ddb | 83ffd31fdb8a96f950aa31cae02526c808feb9f9 | 8f709f7bed1413b61cefa839ce7fe45d542a102101342c20b13ab1a643452247 | Winpython64-3.13.5.0slimb4.exe | 636 060 781 Bytes | 5d6617505a71ee4e4b5cea82addc9c5022569ef76cc6cc68f8598be9ed3841e9 |
| 8db0534ccb8f5495121d305959e63d7c | e66787379fb1c4dc56e592ea3895bb81b4c1527a | 5fdc38f9fe08ad9e7891a0feeda799bc4160b7461a37bcadbbb71fcb6116898a | Winpython64-3.13.5.0whlb4.7z | 671 975 828 Bytes | 9ee259035cdf763932cac8865fd72cb4953c4217b572e9f97089b47b68bcb09e |
Associate requirements with hash256 and lockfiles:
| MD5 | SHA-1 | SHA-256 | Binary | Size | blake2b-256 |
|---|---|---|---|---|---|
| 9691515d5298608d792af9ade366a7ef | 2a2be5eff6af02d86685c3283daee966c706aa46 | b51a080ecb83a03b9bc9b315d7d88a8f5cca43ea0464012bbe4f6702c966ba71 | requirement.64-3_12_10_1dotb4.txt | 836 Bytes | 110b9ab9731e1def210221536c1e721d3d7dc019f8788eb1097b4f0fa54c7e99 |
| eeff0266e07866ade5cf590cebee9069 | a195c25ce4d58e95d61c15e3ed9804fe939501c8 | 503535a58a97d7ac5f1a7006d2e2e0bc8e3a0e55a569d5294c5356d5cff4a759 | requirement.64-3_12_10_1slimb4.txt | 52 262 Bytes | 217921e71c5e5803a287871cd6bb33674ea373fa206a559fce6e9803454acbb5 |
| 9691515d5298608d792af9ade366a7ef | 2a2be5eff6af02d86685c3283daee966c706aa46 | b51a080ecb83a03b9bc9b315d7d88a8f5cca43ea0464012bbe4f6702c966ba71 | requirement.64-3_12_10_1whlb4.txt | 836 Bytes | 110b9ab9731e1def210221536c1e721d3d7dc019f8788eb1097b4f0fa54c7e99 |
| 9691515d5298608d792af9ade366a7ef | 2a2be5eff6af02d86685c3283daee966c706aa46 | b51a080ecb83a03b9bc9b315d7d88a8f5cca43ea0464012bbe4f6702c966ba71 | requirement.64-3_13_5_0dotb4.txt | 836 Bytes | 110b9ab9731e1def210221536c1e721d3d7dc019f8788eb1097b4f0fa54c7e99 |
| 5a29c140bbda53f3ce15f62704b98700 | 6760b1398ded05b66a73d08a0d27a19f4fa5dbbb | f57d3f5ad702725ea267821050f70eaa8adfdac5487b94dcb3ee6877d501620d | requirement.64-3_13_5_0slimb4.txt | 52 262 Bytes | 762810e267712dbcbbdb6108b67c281c4562ba620f53a1afd6d1220162047e39 |
| 9691515d5298608d792af9ade366a7ef | 2a2be5eff6af02d86685c3283daee966c706aa46 | b51a080ecb83a03b9bc9b315d7d88a8f5cca43ea0464012bbe4f6702c966ba71 | requirement.64-3_13_5_0whlb4.txt | 836 Bytes | 110b9ab9731e1def210221536c1e721d3d7dc019f8788eb1097b4f0fa54c7e99 |
| 3d852c06889694efad81632205c92acd | 33d91de3dd58f5b9509feb23a6b6dc74f3eed52e | adee213d48123ddc91b07beb136e7515e157e3e51f5c39dbc46c2a62af011e8d | requirement.whl-64bit-3_12_10_1_includedwheels.txt | 50 887 Bytes | 0c87fb950b128ca13de3d95ead916b219c263e8aa0331d8927d73fec72c0f5ad |
| 616750b0ece075679edb72d5c2e6afd4 | 8552a5e8049c22ff983674c8a8e3de2b45aed890 | f33d52deeca62eb10a743ce2948add4a60b6410a506761559c51632d616a640a | requirement.whl-64bit-3_13_5_0_includedwheels.txt | 50 887 Bytes | 604eea4140a28808d87fa16b83ba12e842d777fc9346e2b50679a58f16b8235d |
| MD5 | SHA-1 | SHA-256 | Binary | Size | blake2b-256 |
|---|---|---|---|---|---|
| efb6fcc409a654b4e5ca5a9f767815cb | 59791ed4b2b7b0da0711e31f94a3582c96dff74d | fa81c9ffb2b91b96aa409ded5e15c1f2a37d45765abb6e89ef8a7dc4be73feae | pylock.64-3_12_10_1dotb4.toml | 3 062 Bytes | db60e4e56f04b1e06954e1539bce62154595da964889a950fc23304efc41c646 |
| c4cc363d5a65966240e4f9f651a43fef | ec1e33fb2d9bd928f0a6fbe6f08e2b59f47ad3ab | 64ed3a0eb1cfbc1d749ebfc21927ec31127e1ca2142b2b90d1c65224ff5f0e85 | pylock.64-3_12_10_1slimb4.toml | 190 459 Bytes | bf920bed4ee86b4320e09da7fc4d9bcd5034d8c3cc4a6332c39b0c76e06c9265 |
| efb6fcc409a654b4e5ca5a9f767815cb | 59791ed4b2b7b0da0711e31f94a3582c96dff74d | fa81c9ffb2b91b96aa409ded5e15c1f2a37d45765abb6e89ef8a7dc4be73feae | pylock.64-3_12_10_1whlb4.toml | 3 062 Bytes | db60e4e56f04b1e06954e1539bce62154595da964889a950fc23304efc41c646 |
| efb6fcc409a654b4e5ca5a9f767815cb | 59791ed4b2b7b0da0711e31f94a3582c96dff74d | fa81c9ffb2b91b96aa409ded5e15c1f2a37d45765abb6e89ef8a7dc4be73feae | pylock.64-3_13_5_0dotb4.toml | 3 062 Bytes | db60e4e56f04b1e06954e1539bce62154595da964889a950fc23304efc41c646 |
| 1f3e63a02778c60c963db77238389027 | 3d66f94a775def200176ed4d4d9ae904fcf72e72 | d488e576913a1e6c79390950955b09bcaf4242a072c90c55a0a8144ac021ec35 | pylock.64-3_13_5_0slimb4.toml | 190 441 Bytes | 76d1393faf4f386b712fbe5c6217f4577acc2e7cb563329599cdbe7bc13e3786 |
| efb6fcc409a654b4e5ca5a9f767815cb | 59791ed4b2b7b0da0711e31f94a3582c96dff74d | fa81c9ffb2b91b96aa409ded5e15c1f2a37d45765abb6e89ef8a7dc4be73feae | pylock.64-3_13_5_0whlb4.toml | 3 062 Bytes | db60e4e56f04b1e06954e1539bce62154595da964889a950fc23304efc41c646 |
| 4b1a8b16707a796576a33da3b4438370 | 4fc010c90246d61e52a8a8a399331b168fd5f9ea | 57af0a42327d9a4d4f77706ba3e6ba1a22ce9541e8680600a416e8f8b5059ed7 | pylock.whl-64bit-3_12_10_1_includedwheels.toml | 185 471 Bytes | e15bfabfdf8fbd657d68e89e899340ccbff1e67e02a4ba91efba9ca7494bf9b9 |
| f51528fef8b2ceaad3a118aa091fc40d | 4e80b3fe9e5d51ccb5dc1c382f6b7528b092a218 | 221ccddc79ebe57bb92e919df37e1ea11ae2843479414c044ef3b46a3114814f | pylock.whl-64bit-3_13_5_0_includedwheels.toml | 185 453 Bytes | 3a1fcaadece4bf8897b1d1698504e6326af156beed0c8fa44fff00981bb10ec0 |
- typical usage with pip:
. pip download --dest C:\your_temp_Wheelhouse --no-deps --require-hashes -r requirement.64-3_13_5_0slimb4.txt
. pip install --no-deps --no-index --trusted-host=None --find-links=C:\your_temp_Wheelhouse --require-hashes -r requirement.64-3_13_5_0slimb4.txt