ai 1 blockchain 1 cloud 1 data 1 encryption 1 firewall 1 github 1 hackathon 1 iot 1 javascript 1 kubernetes 1 linux 1 machine_learning 1 neural_network 1 open_source 1 python 1 quantum_computing 1 router 1 sql 1 tensorflow 1 ux 1 virtualization 1 wi-fi 1 xml 1 youtube 1 zero-day 1
ai 2 blockchain 2 cloud 2 data 2 encryption 2 firewall 2 github 2 hackathon 2 iot 2 javascript 2 kubernetes 2 linux 2 machine_learning 2 neural_network 2 open_source 2 python 2 quantum_computing 2 router 2 sql 2 tensorflow 2 ux 2 virtualization 2 wi-fi 2 xml 2 youtube 2 zero-day 2
ai 3 blockchain 3 cloud 3 data 3 encryption 3 firewall 3 github 3 hackathon 3 iot 3 javascript 3 kubernetes 3 linux 3 machine_learning 3 neural_network 3 open_source 3 python 3 quantum_computing 3 router 3 sql 3 tensorflow 3 ux 3 virtualization 3 wi-fi 3 xml 3 youtube 3 zero-day 3
ai 4 blockchain 4 cloud 4 data 4 encryption 4 firewall 4 github 4 hackathon 4 iot 4 javascript 4 kubernetes 4 linux 4 machine_learning 4 neural_network 4 open_source 4 python 4 quantum_computing 4 router 4 sql 4 tensorflow 4 ux 4 virtualization 4 wi-fi 4 xml 4 youtube 4 zero-day 4
ai 5 blockchain 5 cloud 5 data 5 encryption 5 firewall 5 github 5 hackathon 5 iot 5 javascript 5 kubernetes 5 linux 5 machine_learning 5 neural_network 5 open_source 5 python 5 quantum_computing 5 router 5 sql 5 tensorflow 5 ux 5 virtualization 5 wi-fi 5 xml 5 youtube 5 zero-day 5
ai 6 blockchain 6 cloud 6 data 6 encryption 6 firewall 6 github 6 hackathon 6 iot 6 javascript 6 kubernetes 6 linux 6 machine_learning 6 neural_network 6 open_source 6 python 6 quantum_computing 6 router 6 sql 6 tensorflow 6 ux 6 virtualization 6 wi-fi 6 xml 6 youtube 6 zero-day 6
ai 7 blockchain 7 cloud 7 data 7 encryption 7 firewall 7 github 7 hackathon 7 iot 7 javascript 7 kubernetes 7 linux 7 machine_learning 7 neural_network 7 open_source 7 python 7 quantum_computing 7 router 7 sql 7 tensorflow 7 ux 7 virtualization 7 wi-fi 7 xml 7 youtube 7 zero-day 7
ai 8 blockchain 8 cloud 8 data 8 encryption 8 firewall 8 github 8 hackathon 8 iot 8 javascript 8 kubernetes 8 linux 8 machine_learning 8 neural_network 8 open_source 8 python 8 quantum_computing 8 router 8 sql 8 tensorflow 8 ux 8 virtualization 8 wi-fi 8 xml 8 youtube 8 zero-day 8
ai 9 blockchain 9 cloud 9 data 9 encryption 9 firewall 9 github 9 hackathon 9 iot 9 javascript 9 kubernetes 9 linux 9 machine_learning 9 neural_network 9 open_source 9 python 9 quantum_computing 9 router 9 sql 9 tensorflow 9 ux 9 virtualization 9 wi-fi 9 xml 9 youtube 9 zero-day 9
ai 0 blockchain 0 cloud 0 data 0 encryption 0 firewall 0 github 0 hackathon 0 iot 0 javascript 0 kubernetes 0 linux 0 machine_learning 0 neural_network 0 open_source 0 python 0 quantum_computing 0 router 0 sql 0 tensorflow 0 ux 0 virtualization 0 wi-fi 0 xml 0 youtube 0 zero-day 0
zephyr zealous zenith zigzag zestful zillion zoologist zombified zucchini zygote zoological zealot zeppelin zirconium zygomatic zonal zealotry zombifying zirconia zooplankton zosteriform zincography zoroastrian zestfulness zoomorphic zygosporangium zoonotic zoogeography
xenophobia xerox xylophone xenon xerographic xiphoid xanthophyll xerophyte xylophonist xenomorphic xerophytic xylography xenomorph xylene xylographer xenobiotic xenogenesis xenolithic xerophytes xiphoid xenophobic xerothermic xyloid xanthic xanthosis xenotransplant xenial xerophytes
circumference conscientious contradiction catastrophic conflagration cumbersome convolution configuration consummate capricious choreography circumvent coagulate conglomerate cartography carnivorous cultivate cosmopolitan conspicuous chromatic crystallize complacent compensatory contagious catapult corroborate circuitous confounded clairvoyant collaborate
vortex vindictive virtuoso vacillate verisimilitude vexatious vociferous vulnerability veneration vapid vindication versatile vicissitude vengeance volatility vocational vivacious vicarious vegetative verbose viability vehement valorization venomous vagabond voluminous verification ventriloquist voluptuous
bureaucracy benevolent bravado brevity bristle bombardment brilliance byzantine beneficiary belligerent barricade bedazzled blasphemy bizarre bilingual butterfinger barometer battalion ballistics bewilderment burgeoning benefactor bestow brimstone bellicose berate broadsword backlash bourgeois
nonchalant nebulous nomenclature nostalgia narcissistic nefarious nonplussed nihilistic nauseating nonconformist nonlinear nonentity nebulizer narcotic nominalization negotiation nullification nationalism narcissism nebulously navigational neuroticism nanotechnology nurturing nostalgically nonchalance noteworthy
metamorphosis melancholy magnanimous misanthrope monolithic malleability miscommunication metaphorical manipulative macabre malfeasance machination magnitude methodology miscellaneous manifestation meticulous multifarious mesmerizing malnourished monopolize mysterious malevolent mesopotamian metamorphic matriarchal metaphysics
Kehidupan sebagai seorang pelajar tidak terlalu sukar, namun tidak juga boleh diambil mudah atau dipandang remeh juga. Generasi hari ini merupakan warga yang bakal memimpin negara pada masa akan datang. Para pelajar seharusnya mempunyai sikap yang baik semasa menuntut ilmu, sentiasa peka dengan keadaan dan amanah terhadap tugasan yang diberi.
15462 256631 123458 892423 1253564 1253561
14562 256632 1278686 1254652 2563456 45657
125432 4545658 5896912 12568678945897 4596
159753 156236 123789 4587961 456456 582623
def describe(
self,
percentiles: Sequence[float] | float | None = (0.25, 0.50, 0.75),
*,
interpolation: RollingInterpolationMethod = "nearest",
) -> DataFrame:
"""
Creates a summary of statistics for a LazyFrame, returning a DataFrame.
""" # noqa: W505
from polars.convert import from_dict
schema = self.collect_schema()
if not schema:
msg = "cannot describe a LazyFrame that has no columns"
raise TypeError(msg)
# create list of metrics
metrics = ["count", "null_count", "mean", "std", "min"]
if quantiles := parse_percentiles(percentiles):
metrics.extend(f"{q * 100:g}%" for q in quantiles)
metrics.append("max")
@lru_cache
def skip_minmax(dt: PolarsDataType) -> bool:
return dt.is_nested() or dt in (Categorical, Enum, Null, Object, Unknown)
# determine which columns will produce std/mean/percentile/etc
# statistics in a single pass over the frame schema
has_numeric_result, sort_cols = set(), set()
metric_exprs: list[Expr] = []
null = F.lit(None)
for c, dtype in schema.items():
is_numeric = dtype.is_numeric()
is_temporal = not is_numeric and dtype.is_temporal()
# counts
count_exprs = [
F.col(c).count().name.prefix("count:"),
F.col(c).null_count().name.prefix("null_count:"),
]
# mean
mean_expr = (
F.col(c).mean()
if is_temporal or is_numeric or dtype == Boolean
else null
)
# standard deviation, min, max
expr_std = F.col(c).std() if is_numeric else null
min_expr = F.col(c).min() if not skip_minmax(dtype) else null
max_expr = F.col(c).max() if not skip_minmax(dtype) else null
# percentiles
pct_exprs = []
for p in quantiles:
if is_numeric or is_temporal:
pct_expr = (
F.col(c).to_physical().quantile(p, interpolation).cast(dtype)
if is_temporal
else F.col(c).quantile(p, interpolation)
)
sort_cols.add(c)
else:
pct_expr = null
pct_exprs.append(pct_expr.alias(f"{p}:{c}"))
if is_numeric or dtype.is_nested() or dtype in (Null, Boolean):
has_numeric_result.add(c)
# add column expressions (in end-state 'metrics' list order)
metric_exprs.extend(
[
*count_exprs,
mean_expr.alias(f"mean:{c}"),
expr_std.alias(f"std:{c}"),
min_expr.alias(f"min:{c}"),
*pct_exprs,
max_expr.alias(f"max:{c}"),
]
)
# calculate requested metrics in parallel, then collect the result
df_metrics = (
(
# if more than one quantile, sort the relevant columns to make them O(1)
# TODO: drop sort once we have efficient retrieval of multiple quantiles
self.with_columns(F.col(c).sort() for c in sort_cols)
if sort_cols
else self
)
.select(*metric_exprs)
.collect()
)
# reshape wide result
n_metrics = len(metrics)
column_metrics = [
df_metrics.row(0)[(n * n_metrics) : (n + 1) * n_metrics]
for n in range(schema.len())
]
summary = dict(zip(schema, column_metrics))
# cast by column type (numeric/bool -> float), (other -> string)
for c in schema:
summary[c] = [ # type: ignore[assignment]
(
None
if (v is None or isinstance(v, dict))
else (float(v) if (c in has_numeric_result) else str(v))
)
for v in summary[c]
]
# return results as a DataFrame
df_summary = from_dict(summary)
df_summary.insert_column(0, pl.Series("statistic", metrics))
return df_summary
amitabh 1 biryani 1 chai 1 dhoni 1 esha 1 farhan 1 gabbar 1 hrithik 1 ishq 1 jalebi 1 khan 1 lassi 1 madhuri 1 nawaz 1 om 1 priyanka 1 qawwali 1 rajini 1 samosa 1 thala 1 ustad 1 veer 1 waqt 1 xtra 1 yash 1 zindagi 1
amitabh 2 biryani 2 chai 2 dhoni 2 esha 2 farhan 2 gabbar 2 hrithik 2 ishq 2 jalebi 2 khan 2 lassi 2 madhuri 2 nawaz 2 om 2 priyanka 2 qawwali 2 rajini 2 samosa 2 thala 2 ustad 2 veer 2 waqt 2 xtra 2 yash 2 zindagi 2
amitabh 3 biryani 3 chai 3 dhoni 3 esha 3 farhan 3 gabbar 3 hrithik 3 ishq 3 jalebi 3 khan 3 lassi 3 madhuri 3 nawaz 3 om 3 priyanka 3 qawwali 3 rajini 3 samosa 3 thala 3 ustad 3 veer 3 waqt 3 xtra 3 yash 3 zindagi 3
amitabh 4 biryani 4 chai 4 dhoni 4 esha 4 farhan 4 gabbar 4 hrithik 4 ishq 4 jalebi 4 khan 4 lassi 4 madhuri 4 nawaz 4 om 4 priyanka 4 qawwali 4 rajini 4 samosa 4 thala 4 ustad 4 veer 4 waqt 4 xtra 4 yash 4 zindagi 4
amitabh 5 biryani 5 chai 5 dhoni 5 esha 5 farhan 5 gabbar 5 hrithik 5 ishq 5 jalebi 5 khan 5 lassi 5 madhuri 5 nawaz 5 om 5 priyanka 5 qawwali 5 rajini 5 samosa 5 thala 5 ustad 5 veer 5 waqt 5 xtra 5 yash 5 zindagi 5
amitabh 6 biryani 6 chai 6 dhoni 6 esha 6 farhan 6 gabbar 6 hrithik 6 ishq 6 jalebi 6 khan 6 lassi 6 madhuri 6 nawaz 6 om 6 priyanka 6 qawwali 6 rajini 6 samosa 6 thala 6 ustad 6 veer 6 waqt 6 xtra 6 yash 6 zindagi 6
amitabh 7 biryani 7 chai 7 dhoni 7 esha 7 farhan 7 gabbar 7 hrithik 7 ishq 7 jalebi 7 khan 7 lassi 7 madhuri 7 nawaz 7 om 7 priyanka 7 qawwali 7 rajini 7 samosa 7 thala 7 ustad 7 veer 7 waqt 7 xtra 7 yash 7 zindagi 7
amitabh 8 biryani 8 chai 8 dhoni 8 esha 8 farhan 8 gabbar 8 hrithik 8 ishq 8 jalebi 8 khan 8 lassi 8 madhuri 8 nawaz 8 om 8 priyanka 8 qawwali 8 rajini 8 samosa 8 thala 8 ustad 8 veer 8 waqt 8 xtra 8 yash 8 zindagi 8
amitabh 9 biryani 9 chai 9 dhoni 9 esha 9 farhan 9 gabbar 9 hrithik 9 ishq 9 jalebi 9 khan 9 lassi 9 madhuri 9 nawaz 9 om 9 priyanka 9 qawwali 9 rajini 9 samosa 9 thala 9 ustad 9 veer 9 waqt 9 xtra 9 yash 9 zindagi 9
amitabh 0 biryani 0 chai 0 dhoni 0 esha 0 farhan 0 gabbar 0 hrithik 0 ishq 0 jalebi 0 khan 0 lassi 0 madhuri 0 nawaz 0 om 0 priyanka 0 qawwali 0 rajini 0 samosa 0 thala 0 ustad 0 veer 0 waqt 0 xtra 0 yash 0 zindagi 0
In conclusion, after analyzing the arguments elaborated above, I thoroughly agree and strongly believe that the pros of M1 outweigh the cons, given that M2 might tackle the issues associated with M3.
Out of the night that covers me, black as the pit from pole to pole, I thank whatever gods may be for my unconquerable soul. In the fell clutch of circumstance, I have not winced nor cried aloud. Under the bludgeonings of chance my head is bloody, but unbowed. Beyond this place of wrath and tears looms but the horror of the shade. And yet the menace of the years finds, and shall find me, unafraid. It matters not how strait the gate, how charged with punishments the scroll. I am the master of my fate, I am the captain of my soul.
1. To set policies and procedures that will guide the Fraternity
2. Act as the supreme governing body of the Fraternity between Chapter Congresses
3. Approve the Fraternity budget
4. Approve the annual goals of the Fraternity
5. Oversee the performance of the CEO
6. Strategic planning
1. Presidents: Amy Yan and Ethan Parker
2. Executive Vice Presidents: Ahona Haque and Anvitha Suram
3. VP Administration: Alex Gatchev
4. VP Alumni Relations: Jordan Greenslade
5. VP Professional: Rishi Patel and Shirley Bai
6. VP Brotherhood: Annika Gottfrid and Silmi Keshwani
7. VP Finance: Jackson Hartman
8. VP Marketing: Nate Cohen
9. VP Membership: Alvin Tang and Elisa Zoltick
10. VP Pledge Education: John Kim
11. Technology Chair: Viola Holmes
12. VP Service: Manuela Guzman and Mira Mukadam
13. Master of Rituals: Alexa Ramos and Duncan Naylor
Chief Master Sergeant Heriberto G. Diaz, Jr
Chief Master Sergeant John C. Alsvig
Chief Master Sergeant Micheal W. Deiderich
Ms. Jennifer Block
If I am captured, I will continue to resist by all means available. I will make every effort to escape and to aid others to escape. I will accept neither parole nor special favors from the enemy.
If I become a prisoner of war, I will keep faith with my fellow prisoners. I will give no information or take part in any action which might be harmful to my comrades. If I am senior, I will take command. If not, I will obey the lawful orders of those appointed over me and will back them up in every way.
Integrity is the fundamental premise for military service in a free society. Without integrity, the moral pillars of our military strength, public trust, and self-respect are lost.
The discipline which makes the soldiers of a free country reliable in battle is not to be gained by harsh or tyrannical treatment. On the contrary, such treatment is far more likely to destroy than to make an army. It is possible to impart instruction and give commands in such a manner and such a tone of voice as to inspire in the soldier no feeling but an intense desire to obey, while the opposite manner and tone of voice cannot fail to excite strong resentment and a desire to disobey. The one mode or other of dealing with subordinates springs from a corresponding spirit in the breast of the commander.
1. Presidents: Amy Yan and Ethan Parker
2. Executive Vice Presidents: Ahona Haque and Anvitha Suram
3. VP Administration: Alex Gatchev
4. VP Alumni Relations: Jordan Greenslade
5. VP Professional: Rishi Patel and Shirley Bai
6. VP Brotherhood: Annika Gottfrid and Silmi Keshwani
7. VP Finance: Jackson Hartman
8. VP Marketing: Nate Cohen
9. VP Membership: Alvin Tang and Elisa Zoltick
10. VP Pledge Education: John Kim
11. Technology Chair: Viola Holmes
12. VP Service: Manuela Guzman and Mira Mukadam
13. Master of Rituals: Alexa Ramos and Duncan Naylor
7801 E. 88th Street, Indianapolis, IN 46256
(317)-872-1553
$48
pledge manual and the fraternal examination.
$84.
a recognition pin, member certificate, a subscription to The Diary as well as other services and benefits.
October 15th and February 15th.
$75.
2. Receives and disburses all Fraternity funds;
3. Maintains addresses and records for all members and chapters;
4. Issues all certificates and membership cards;
The Heritage Center Staff.
www.akpsi.org
Steve Hartman.
Corey Reddy
De’Sean Keys
1. To set policies and procedures that will guide the Fraternity
2. Act as the supreme governing body of the Fraternity between Chapter Congresses
3. Approve the Fraternity budget
4. Approve the annual goals of the Fraternity
5. Oversee the performance of the CEO
6. Strategic planning
1. Presidents: Amy Yan and Ethan Parker
2. Executive Vice Presidents: Ahona Haque and Anvitha Suram
3. VP Administration: Alex Gatchev
4. VP Alumni Relations: Jordan Greenslade
5. VP Professional: Rishi Patel and Shirley Bai
6. VP Brotherhood: Annika Gottfrid and Silmi Keshwani
7. VP Finance: Jackson Hartman
8. VP Marketing: Nate Cohen
9. VP Membership: Alvin Tang and Elisa Zoltick
10. VP Pledge Education: John Kim
11. Technology Chair: Viola Holmes
12. VP Service: Manuela Guzman and Mira Mukadam
13. Master of Rituals: Alexa Ramos and Duncan Naylor
7801 E. 88th Street, Indianapolis, IN 46256
(317)-872-1553
$48
pledge manual and the fraternal examination.
$84
a recognition pin, member certificate, a subscription to The Diary as well as other services and benefits.
October 15th and February 15th.
$75.
2. Receives and disburses all Fraternity funds;
3. Maintains addresses and records for all members and chapters;
4. Issues all certificates and membership cards;
The Heritage Center Staff.
www.akpsi.org
Steve Hartman.
Corey Reddy
De’Sean Keys
1. To set policies and procedures that will guide the Fraternity
2. Act as the supreme governing body of the Fraternity between Chapter Congresses 3. Approve the Fraternity budget
4. Approve the annual goals of the Fraternity
5. Oversee the performance of the CEO
6. Strategic planning
1. Presidents: Amy Yan and Ethan Parker
2. Executive Vice Presidents: Ahona Haque and Anvitha Suram VP 3. Administration: Alex Gatchev
4. VP Alumni Relations: Jordan Greenslade
5. VP Professional: Rishi Patel and Shirley Bai
6. VP Brotherhood: Annika Gottfrid and Silmi Keshwani
7. VP Finance: Jackson Hartman
8. VP Marketing: Nate Cohen
9. VP Membership: Alvin Tang and Elisa Zoltick
10. VP Pledge Education: John Kim
11. Technology Chair: Viola Holmes
12. VP Service: Manuela Guzman and Mira Mukadam
13. Master of Rituals: Alexa Ramos and Duncan Naylor
When light rays travelling in a medium reach the boundary of another medium, they turn back to the first medium. This phenomenon of turning back of light rays into the same medium after striking the boundary of the other medium is called reflection of light.
En las vacaciones de este año primero fui diez días a un hotel con mi familia, en el hotel de al lado estaba un amigo y todos los días salíamos juntos a la piscina, a la playa, etc.
En el hotel había un bufete donde íbamos a desayunar, almorzar y cenar, por la noche paseábamos por el paseo marítimo mientras nos tomábamos un helado, algunos días íbamos a otras playas que estaban más lejos del hotel, algunas eran salvajes, tenían el agua cristalina y había muchos peces y plantas, otros días los pasábamos en la piscina que era muy grande.
This week and next week, I will be writing a persuasive speech. I have to use information from outside sources in my speech and I have to cite those sources in the paragraphs of my speech and in a Works Cited page. I love Justin Bieber. <3
Allele
Gene
Genotype
Heredity
Phenotype
Probability
Punnettsquare
Recessive allele
Trait
Allele
Gene
Genotype
Heredity
Phenotype
Probability
Punnettsquare
Recessive allele
Trait
