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#
''' '''
or
""" """
print()
del
type()
%
Formatting,
format()
upper()
, lower()
,
split()
, replace()
array
Modulefrom ... import ...
for selective imports__init__
) and Destructors
(__del__
)__str__
,
__repr__
, __len__
, etc.)
super()
to Call Parent Methodsiter()
and next()
__iter__
and
__next__
datetime
Modulestrftime()
,
strptime()
)
math
Module Functions: sqrt()
,
factorial()
, ceil()
, floor()
random
Modulesin()
, cos()
,
tan()
json.dumps()
)json.loads()
)json.dump()
,
json.load()
)
re
Module)^
, $
, .
,
*
, +
, ?
pip install package_name
raise
%
) Formattingformat()
) Formatting'r'
,
'w'
, 'a'
, 'rb'
,
'wb'
read()
, readline()
,
readlines()
write()
,
writelines()
os.remove()
os.path
)with
Statement for Auto File Closurepip install numpy
import numpy as np
array()
, arange()
,
linspace()
, zeros()
, ones()
,
full()
, eye()
shape
, ndim
,
size
, dtype
, itemsize
np.sin()
,
np.cos()
, np.exp()
, etc.
sum()
, min()
,
max()
, mean()
, median()
,
std()
, var()
reshape()
flatten()
, ravel()
transpose()
, .T
hstack()
,
vstack()
, split()
copy()
vs view()
rand()
, randn()
,
randint()
np.random.seed()
dot()
, matmul()
np.linalg.solve()
pip install pandas
import pandas as pd
loc
and
iloc
head()
, tail()
,
sample()
info()
, describe()
,
shape
, columns
isnull()
,
notnull()
unique()
,
nunique()
, value_counts()
fillna()
, dropna()
,
replace()
rename()
astype()
drop_duplicates()
sort_values()
, sort_index()
apply()
, map()
,
applymap()
sum()
, mean()
,
count()
, min()
, max()
pivot_table()
crosstab()
concat()
merge()
, join()
append()
to_datetime()
resample()
rolling()
,
expanding()
read_csv()
,
to_csv()
read_excel()
,
to_excel()
read_json()
, to_json()
read_sql()
CREATE
, ALTER
,
DROP
, TRUNCATE
, RENAME
INSERT
, UPDATE
,
DELETE
SELECT
GRANT
, REVOKE
COMMIT
, ROLLBACK
,
SAVEPOINT
, SET TRANSACTION
CREATE DATABASE
.SHOW DATABASES;
.USE
.CREATE DATABASE studentdb;
CREATE TABLE students (id INT AUTO_INCREMENT PRIMARY KEY, name VARCHAR(50), age INT);
ALTER TABLE students ADD email VARCHAR(100);
INSERT INTO
.INSERT INTO students (name, age) VALUES ('Supriya', 22), ('Kiran', 24);
SELECT
.SELECT id, name, age FROM students;
=
, <>
, >
,
<
, BETWEEN
, IN
,
LIKE
, IS NULL
.
SELECT * FROM students WHERE age >= 20;
SELECT * FROM students ORDER BY name ASC;
DELETE FROM
.DELETE
or
TRUNCATE
.
DELETE FROM students WHERE id = 1;
DROP TABLE students;
UPDATE
and
SET
.
UPDATE students SET age = 25 WHERE name = 'Supriya';
SELECT * FROM students LIMIT 5;
SELECT * FROM students LIMIT 5 OFFSET 10;
SELECT s.name, c.course_name FROM students s INNER JOIN courses c ON s.id = c.student_id;
SELECT COUNT(*) FROM students;
GROUP BY
.HAVING
.SELECT age, COUNT(*) FROM students GROUP BY age HAVING COUNT(*) > 2;
SELECT name FROM students WHERE age > (SELECT AVG(age) FROM students);
GRANT SELECT ON school.* TO 'user'@'localhost';
START TRANSACTION; UPDATE students SET age=30 WHERE id=5; ROLLBACK;
CREATE VIEW
.CREATE VIEW student_names AS SELECT name FROM students;
CREATE INDEX idx_name ON students(name);
mysqldump
.mysqldump -u root -p studentdb > backup.sql
use databasename
.
show dbs
.use studentDB
db.createCollection("students")
.
show collections
.insertOne()
and
insertMany()
.
db.students.insertOne({ name: "Supriya", age: 22 })
db.students.insertMany([{ name: "Kiran", age: 23 }, { name: "Ravi", age: 21 }])
find()
and
findOne()
.
db.students.find()
,
db.students.findOne({ name: "Supriya" })
$eq
, $ne
,
$gt
, $lt
, $gte
,
$lte
$and
, $or
,
$not
db.students.find({ age: { $gt: 20 } })
db.students.find().sort({ name: 1 })
deleteOne()
or
deleteMany()
.
db.students.deleteOne({ name: "Ravi" })
db.students.drop()
updateOne()
or
updateMany()
.
$set
, $inc
, $unset
db.students.updateOne({ name: "Supriya" }, { $set: { age: 23 } })
limit()
and skipping using
skip()
.
db.students.find().limit(5)
aggregate()
.$match
, $group
,
$project
, $sort
, $limit
db.students.aggregate([ { $match: { age: { $gt: 20 } } }, { $group: { _id: "$course", total: { $sum: 1 } } } ])
db.students.createIndex({ name: 1 })
{ name: "Supriya", courses: [{ courseName: "MERN" }, { courseName: "Python" }] }
db.createCollection("students", { validator: { $jsonSchema: { bsonType: "object", required: ["name", "age"], properties: { name: { bsonType: "string" }, age: { bsonType: "int", minimum: 18 } } } } })
db.createView()
.db.createView("adult_students", "students", [ { $match: { age: { $gte: 18 } } } ])
const session = client.startSession(); session.startTransaction(); db.students.updateOne(...); session.commitTransaction();
mongodump
and mongorestore
.mongodump --db studentDB --out /backup/studentDB
mongorestore /backup/studentDB
explain()
.
const Student = mongoose.model("Student", studentSchema); Student.find({ age: { $gte: 18 } })