Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Appearance settings

Commit d8bbe78

Browse filesBrowse files
stonebigstonebig
authored
Merge pull request #80 from stonebig/master
barcodes GS1_128 Writing, QRcode Writing and Reading
2 parents 18787c0 + 014136d commit d8bbe78
Copy full SHA for d8bbe78

File tree

Expand file treeCollapse file tree

2 files changed

+899
-38
lines changed
Filter options
Expand file treeCollapse file tree

2 files changed

+899
-38
lines changed

‎docs/Winpython_checker.ipynb

Copy file name to clipboardExpand all lines: docs/Winpython_checker.ipynb
+99-38Lines changed: 99 additions & 38 deletions
Original file line numberDiff line numberDiff line change
@@ -10,7 +10,9 @@
1010
{
1111
"cell_type": "code",
1212
"execution_count": null,
13-
"metadata": {},
13+
"metadata": {
14+
"tags": []
15+
},
1416
"outputs": [],
1517
"source": [
1618
"import warnings\n",
@@ -23,10 +25,12 @@
2325
{
2426
"cell_type": "code",
2527
"execution_count": null,
26-
"metadata": {},
28+
"metadata": {
29+
"tags": []
30+
},
2731
"outputs": [],
2832
"source": [
29-
"%matplotlib inline\n",
33+
"%matplotlib widget\n",
3034
"# use %matplotlib widget for the adventurous"
3135
]
3236
},
@@ -56,7 +60,9 @@
5660
{
5761
"cell_type": "code",
5862
"execution_count": null,
59-
"metadata": {},
63+
"metadata": {
64+
"tags": []
65+
},
6066
"outputs": [],
6167
"source": [
6268
"# checking Numba JIT toolchain\n",
@@ -69,7 +75,7 @@
6975
"\n",
7076
"from numba import jit\n",
7177
"\n",
72-
"@jit\n",
78+
"@jit(nopython=True)\n",
7379
"def create_fractal(min_x, max_x, min_y, max_y, image, iters , mandelx):\n",
7480
" height = image.shape[0]\n",
7581
" width = image.shape[1]\n",
@@ -83,7 +89,7 @@
8389
" color = mandelx(real, imag, iters)\n",
8490
" image[y, x] = color\n",
8591
"\n",
86-
"@jit\n",
92+
"@jit(nopython=True)\n",
8793
"def mandel(x, y, max_iters):\n",
8894
" c = complex(x, y)\n",
8995
" z = 0.0j\n",
@@ -97,7 +103,9 @@
97103
{
98104
"cell_type": "code",
99105
"execution_count": null,
100-
"metadata": {},
106+
"metadata": {
107+
"tags": []
108+
},
101109
"outputs": [],
102110
"source": [
103111
"# Numba speed\n",
@@ -122,7 +130,9 @@
122130
{
123131
"cell_type": "code",
124132
"execution_count": null,
125-
"metadata": {},
133+
"metadata": {
134+
"tags": []
135+
},
126136
"outputs": [],
127137
"source": [
128138
"# Cython + Mingwpy compiler toolchain test\n",
@@ -132,7 +142,9 @@
132142
{
133143
"cell_type": "code",
134144
"execution_count": null,
135-
"metadata": {},
145+
"metadata": {
146+
"tags": []
147+
},
136148
"outputs": [],
137149
"source": [
138150
"%%cython -a\n",
@@ -166,7 +178,9 @@
166178
{
167179
"cell_type": "code",
168180
"execution_count": null,
169-
"metadata": {},
181+
"metadata": {
182+
"tags": []
183+
},
170184
"outputs": [],
171185
"source": [
172186
"#Cython speed\n",
@@ -189,7 +203,9 @@
189203
{
190204
"cell_type": "code",
191205
"execution_count": null,
192-
"metadata": {},
206+
"metadata": {
207+
"tags": []
208+
},
193209
"outputs": [],
194210
"source": [
195211
"# Matplotlib 3.4.1\n",
@@ -225,7 +241,9 @@
225241
{
226242
"cell_type": "code",
227243
"execution_count": null,
228-
"metadata": {},
244+
"metadata": {
245+
"tags": []
246+
},
229247
"outputs": [],
230248
"source": [
231249
"# Seaborn\n",
@@ -239,7 +257,9 @@
239257
{
240258
"cell_type": "code",
241259
"execution_count": null,
242-
"metadata": {},
260+
"metadata": {
261+
"tags": []
262+
},
243263
"outputs": [],
244264
"source": [
245265
"# altair-example \n",
@@ -256,13 +276,16 @@
256276
{
257277
"cell_type": "code",
258278
"execution_count": null,
259-
"metadata": {},
279+
"metadata": {
280+
"tags": []
281+
},
260282
"outputs": [],
261283
"source": [
262284
"# temporary warning removal\n",
263285
"import warnings\n",
264286
"import matplotlib as mpl\n",
265-
"warnings.filterwarnings(\"ignore\", category=mpl.cbook.MatplotlibDeprecationWarning)\n",
287+
"#warnings.filterwarnings(\"ignore\", category=mpl.cbook.MatplotlibDeprecationWarning)\n",
288+
"warnings.filterwarnings(\"ignore\", category=mpl.MatplotlibDeprecationWarning)\n",
266289
"# Holoviews\n",
267290
"# for more example, see http://holoviews.org/Tutorials/index.html\n",
268291
"import numpy as np\n",
@@ -281,7 +304,9 @@
281304
{
282305
"cell_type": "code",
283306
"execution_count": null,
284-
"metadata": {},
307+
"metadata": {
308+
"tags": []
309+
},
285310
"outputs": [],
286311
"source": [
287312
"# Bokeh 0.12.5 \n",
@@ -305,7 +330,9 @@
305330
{
306331
"cell_type": "code",
307332
"execution_count": null,
308-
"metadata": {},
333+
"metadata": {
334+
"tags": []
335+
},
309336
"outputs": [],
310337
"source": [
311338
"# Datashader (holoviews+Bokeh)\n",
@@ -341,7 +368,9 @@
341368
{
342369
"cell_type": "code",
343370
"execution_count": null,
344-
"metadata": {},
371+
"metadata": {
372+
"tags": []
373+
},
345374
"outputs": [],
346375
"source": [
347376
"np.random.seed(1)\n",
@@ -353,7 +382,9 @@
353382
{
354383
"cell_type": "code",
355384
"execution_count": null,
356-
"metadata": {},
385+
"metadata": {
386+
"tags": []
387+
},
357388
"outputs": [],
358389
"source": [
359390
"ropts = dict(colorbar=True, tools=[\"hover\"], width=350)\n",
@@ -364,7 +395,9 @@
364395
{
365396
"cell_type": "code",
366397
"execution_count": null,
367-
"metadata": {},
398+
"metadata": {
399+
"tags": []
400+
},
368401
"outputs": [],
369402
"source": [
370403
"#bqplot\n",
@@ -381,7 +414,9 @@
381414
{
382415
"cell_type": "code",
383416
"execution_count": null,
384-
"metadata": {},
417+
"metadata": {
418+
"tags": []
419+
},
385420
"outputs": [],
386421
"source": [
387422
"# ipyleaflet (javascript library usage)\n",
@@ -404,7 +439,9 @@
404439
{
405440
"cell_type": "code",
406441
"execution_count": null,
407-
"metadata": {},
442+
"metadata": {
443+
"tags": []
444+
},
408445
"outputs": [],
409446
"source": [
410447
"dc.on_draw(handle_draw)\n",
@@ -414,7 +451,9 @@
414451
{
415452
"cell_type": "code",
416453
"execution_count": null,
417-
"metadata": {},
454+
"metadata": {
455+
"tags": []
456+
},
418457
"outputs": [],
419458
"source": [
420459
"%matplotlib widget\n",
@@ -432,7 +471,9 @@
432471
{
433472
"cell_type": "code",
434473
"execution_count": null,
435-
"metadata": {},
474+
"metadata": {
475+
"tags": []
476+
},
436477
"outputs": [],
437478
"source": [
438479
"# plotnine: giving a taste of ggplot of R langage (formerly we were using ggpy)\n",
@@ -461,11 +502,13 @@
461502
{
462503
"cell_type": "code",
463504
"execution_count": null,
464-
"metadata": {},
505+
"metadata": {
506+
"tags": []
507+
},
465508
"outputs": [],
466509
"source": [
467510
"# Audio Example : https://github.com/ipython/ipywidgets/blob/master/examples/Beat%20Frequencies.ipynb\n",
468-
"%matplotlib inline\n",
511+
"%matplotlib widget\n",
469512
"import matplotlib.pyplot as plt\n",
470513
"import numpy as np\n",
471514
"from ipywidgets import interactive\n",
@@ -493,7 +536,7 @@
493536
"outputs": [],
494537
"source": [
495538
"# Networks graph Example : https://github.com/ipython/ipywidgets/blob/master/examples/Exploring%20Graphs.ipynb\n",
496-
"%matplotlib inline\n",
539+
"%matplotlib widget\n",
497540
"from ipywidgets import interact\n",
498541
"import matplotlib.pyplot as plt\n",
499542
"import networkx as nx\n",
@@ -596,14 +639,16 @@
596639
{
597640
"cell_type": "code",
598641
"execution_count": null,
599-
"metadata": {},
642+
"metadata": {
643+
"tags": []
644+
},
600645
"outputs": [],
601646
"source": [
602647
"#Pandas \n",
603648
"import pandas as pd\n",
604649
"import numpy as np\n",
605650
"\n",
606-
"idx = pd.date_range('2000', '2005', freq='d', closed='left')\n",
651+
"idx = pd.date_range('2000', '2005', freq='d', inclusive='left')\n",
607652
"datas = pd.DataFrame({'Color': [ 'green' if x> 1 else 'red' for x in np.random.randn(len(idx))], \n",
608653
" 'Measure': np.random.randn(len(idx)), 'Year': idx.year},\n",
609654
" index=idx.date)\n",
@@ -623,7 +668,9 @@
623668
{
624669
"cell_type": "code",
625670
"execution_count": null,
626-
"metadata": {},
671+
"metadata": {
672+
"tags": []
673+
},
627674
"outputs": [],
628675
"source": [
629676
"datas.query('Measure > 0').groupby(['Color','Year']).size().unstack()"
@@ -730,7 +777,9 @@
730777
{
731778
"cell_type": "code",
732779
"execution_count": null,
733-
"metadata": {},
780+
"metadata": {
781+
"tags": []
782+
},
734783
"outputs": [],
735784
"source": [
736785
"# checking sympy \n",
@@ -750,7 +799,9 @@
750799
{
751800
"cell_type": "code",
752801
"execution_count": null,
753-
"metadata": {},
802+
"metadata": {
803+
"tags": []
804+
},
754805
"outputs": [],
755806
"source": [
756807
"# checking Ipython-sql, sqlparse, SQLalchemy\n",
@@ -760,7 +811,9 @@
760811
{
761812
"cell_type": "code",
762813
"execution_count": null,
763-
"metadata": {},
814+
"metadata": {
815+
"tags": []
816+
},
764817
"outputs": [],
765818
"source": [
766819
"%%sql sqlite:///.baresql.db\n",
@@ -774,7 +827,9 @@
774827
{
775828
"cell_type": "code",
776829
"execution_count": null,
777-
"metadata": {},
830+
"metadata": {
831+
"tags": []
832+
},
778833
"outputs": [],
779834
"source": [
780835
"# checking baresql\n",
@@ -792,7 +847,9 @@
792847
{
793848
"cell_type": "code",
794849
"execution_count": null,
795-
"metadata": {},
850+
"metadata": {
851+
"tags": []
852+
},
796853
"outputs": [],
797854
"source": [
798855
"# Transfering Datas to sqlite, doing transformation in sql, going back to Pandas and Matplotlib\n",
@@ -807,7 +864,9 @@
807864
{
808865
"cell_type": "code",
809866
"execution_count": null,
810-
"metadata": {},
867+
"metadata": {
868+
"tags": []
869+
},
811870
"outputs": [],
812871
"source": [
813872
"# checking db.py\n",
@@ -819,7 +878,9 @@
819878
{
820879
"cell_type": "code",
821880
"execution_count": null,
822-
"metadata": {},
881+
"metadata": {
882+
"tags": []
883+
},
823884
"outputs": [],
824885
"source": [
825886
"db.tables"
@@ -996,7 +1057,7 @@
9961057
"name": "python",
9971058
"nbconvert_exporter": "python",
9981059
"pygments_lexer": "ipython3",
999-
"version": "3.10.6"
1060+
"version": "3.10.11"
10001061
},
10011062
"widgets": {
10021063
"state": {

0 commit comments

Comments
0 (0)
Morty Proxy This is a proxified and sanitized view of the page, visit original site.