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automate the boring stuff with python pdf 2019 by al sweigart over 500 000 copies sold free to read under a cc license the best part of programming is the ...

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                                 Automate	the	boring	stuff	with	python	pdf	2019
  By	Al	Sweigart.	Over	500,000	copies	sold.	Free	to	read	under	a	CC	license.	"The	best	part	of	programming	is	the	triumph	of	seeing	the	machine	do	something	useful.	Automate	the	Boring	Stuff	with	Python	frames	all	of	programming	as	these	small	triumphs;	it	makes	the	boring	fun."	-	Hilary	Mason,	Data	Scientist	and	Founder	of	Fast	Forward	Labs
  "I'm	having	a	lot	of	fun	breaking	things	and	then	putting	them	back	together,	and	just	remembering	the	joy	of	turning	a	set	of	instructions	into	something	useful	and	fun,	like	I	did	when	I	was	a	kid."	-	Wil	Wheaton,	WilWheaton.net	Practical	Programming	for	Total	Beginners	If	you've	ever	spent	hours	renaming	files	or	updating	hundreds	of	spreadsheet
  cells,	you	know	how	tedious	tasks	like	these	can	be.	But	what	if	you	could	have	your	computer	do	them	for	you?	In	Automate	the	Boring	Stuff	with	Python,	you'll	learn	how	to	use	Python	to	write	programs	that	do	in	minutes	what	would	take	you	hours	to	do	by	hand	-	no	prior	programming	experience	required.	Once	you've	mastered	the	basics	of
  programming,	you'll	create	Python	programs	that	effortlessly	perform	useful	and	impressive	feats	of	automation	to:	Search	for	text	in	a	file	or	across	multiple	files	Create,	update,	move,	and	rename	files	and	folders	Search	the	Web	and	download	online	content	Update	and	format	data	in	Excel	spreadsheets	of	any	size	Split,	merge,	watermark,	and
  encrypt	PDFs	Send	reminder	emails	and	text	notifications	Fill	out	online	forms	Step-by-step	instructions	walk	you	through	each	program,	and	practice	projects	at	the	end	of	each	chapter	challenge	you	to	improve	those	programs	and	use	your	newfound	skills	to	automate	similar	tasks.	Don't	spend	your	time	doing	work	a	well-trained	monkey	could	do.
  Even	if	you've	never	written	a	line	of	code,	you	can	make	your	computer	do	the	grunt	work.	Learn	how	in	Automate	the	Boring	Stuff	with	Python.	New	Book:	"The	Big	Book	of	Small	Python	Projects"	Table	of	Contents	(Link	to	the	older	1st	edition.)	Additional	Content	About	the	Author	Al	Sweigart	is	a	software	developer	and	teaches	programming	to
  kids	and	adults.	He	has	written	several	books	for	beginners	and	makes	them	freely	available	at	InventWithPython.com.	His	personal	website	is	AlSweigart.com.	You	can	follow	@AlSweigart	on	Twitter	and	Twitch.	Get	full	access	to	Automate	the	Boring	Stuff	with	Python,	2nd	Edition	and	60K+	other	titles,	with	free	10-day	trial	of	O'Reilly.	There's	also
  live	online	events,	interactive	content,	certification	prep	materials,	and	more.	If	you’ve	ever	spent	hours	renaming	files	or	updating	hundreds	of	spreadsheet	cells,	you	know	how	tedious	tasks	like	these	can	be.	But	what	if	you	could	have	your	computer	do	them	for	you?In	this	fully	revised	second	edition	of	the	best-selling	classic	Automate	the	Boring
  Stuff	with	Python,	you’ll	learn	how	to	use	Python	to	write	programs	that	do	in	minutes	what	would	take	you	hours	to	do	by	hand—no	prior	programming	experience	required.	You’ll	learn	the	basics	Python	and	explore	Python’s	rich	library	of	modules	for	performing	specific	tasks,	like	scraping	data	off	websites,	reading	PDF	and	Word	documents,	and
  automating	clicking	and	typing	tasks.The	second	edition	of	this	international	fan	favorite	includes	a	brand-new	chapter	on	input	validation,	as	well	as	tutorials	on	automating	Gmail	and	Google	Sheets,	plus	tips	on	automatically	updating	CSV	files.	You’ll	learn	how	to	create	programs	that	effortlessly	perform	useful	feats	of	automation	to:•Search	for
  text	in	a	file	or	across	multiple	files•Create,	update,	move,	and	rename	files	and	folders•Search	the	Web	and	download	online	content•Update	and	format	data	in	Excel	spreadsheets	of	any	size•Split,	merge,	watermark,	and	encrypt	PDFs•Send	email	responses	and	text	notifications•Fill	out	online	formsStep-by-step	instructions	walk	you	through	each
  program,	and	updated	practice	projects	at	the	end	of	each	chapter	challenge	you	to	improve	those	programs	and	use	your	newfound	skills	to	automate	similar	tasks.Don't	spend	your	time	doing	work	a	well-trained	monkey	could	do.	Even	if	you've	never	written	a	line	of	code,	you	can	make	your	computer	do	the	grunt	work.	Learn	how	in	Automate	the
  Boring	Stuff	with	Python,	2nd	Edition.	With	the	final	release	of	Python	2.5	we	thought	it	was	about	time	Builder	AU	gave	our	readers	an	overview	of	the	popular	programming	language.	Builder	AU’s	Nick	Gibson	has	stepped	up	to	the	plate	to	write	this	introductory	article	for	beginners.	Python	is	a	high	level,	dynamic,	object-oriented	programming
  language	similiar	in	some	ways	to	both	Java	and	Perl,	which	runs	on	a	variety	of	platforms	including	Windows,	Linux,	Unix	and	mobile	devices.	Created	over	15	years	ago	as	an	application	specific	scripting	language,	Python	is	now	a	serious	choice	for	scripting	and	dynamic	content	frameworks.	In	fact	it	is	being	used	by	some	of	the	world’s	dynamic
  programming	shops	including	NASA	and	Google,	among	others.	Python	is	also	the	language	behind	Web	development	frameworks	Zope	and	Django.	With	a	healthy	growth	rate	now	could	be	the	perfect	time	to	add	Python	to	your	tool	belt.	This	quickstart	guide	will	give	you	an	overview	of	the	basics	of	Python,	from	variables	and	control	flow
  statements	to	exceptions	and	file	input	and	output.	In	subsequent	articles	I’ll	build	upon	this	foundation	and	offer	more	complex	and	specific	code	and	advice	for	using	Python	in	real	world	development.	Why	learn	Python?	It’s	versatile:	Python	can	be	used	as	a	scripting	language,	the	“glue”	that	sticks	other	components	together	in	a	software	system,
  much	in	the	same	way	as	Perl.	It	can	be	used	as	an	applications	development	language,	just	like	Java	or	C#.	It	can	be	used	as	a	Web	development	language,	similiarly	to	how	you’d	use	PHP.	Whatever	you	need	to	do,	chances	are	you	can	use	Python.	It’s	free:	Python	is	fully	open	source,	meaning	that	its	free	to	download	and	completely	free	to	use,
  throw	in	a	range	of	free	tools	and	IDE’s	and	you	can	get	started	in	Python	development	on	a	shoestring.	It’s	stable:	Python	has	been	around	for	more	than	fifteen	years	now,	which	makes	it	older	than	Java,	and	despite	regular	development	it	has	only	just	has	reached	version	2.5.	Any	code	you	write	now	will	work	with	future	versions	of	Python	for	a
  long	time.	It	plays	well	with	others:	It’s	easy	to	integrate	Python	code	with	C	or	Java	code,	through	SWIG	for	C	and	Jython	for	Java,	which	allows	Python	code	to	call	C	or	Java	functions	and	vice	versa.	This	means	that	you	can	incorporate	Python	in	current	projects,	or	embed	C	into	your	Python	projects	whenever	you	need	a	little	extra	speed.	It’s	easy
  to	learn	and	use:	Python’s	syntax	closely	resembles	pseudo	code,	meaning	that	writing	Python	code	is	straightforward.	This	also	makes	Python	a	great	choice	for	rapid	application	development	and	prototyping,	due	to	the	decrease	in	development	time.	It’s	easy	to	read:	It’s	a	simple	concept,	a	language	that	is	easy	to	write	should	also	be	easy	to	read,
  which	makes	it	easier	for	Python	developers	to	work	together.	Okay,	enough	already,	I’m	sold.	Where	do	I	get	it?	Easy,	in	fact	if	you’re	running	Mac	or	Unix,	chances	you’ve	already	got	it,	just	pull	up	a	terminal	and	type	“python”	to	load	up	the	interpreter.	If	you	don’t	have	it,	or	you’re	looking	to	upgrade	to	the	latest	version	head	on	over	to	the
  download	page.	Alternatively	you	could	install	ActivePython,	a	binary	python	distribution	that	smooths	out	many	of	the	hassles.	There	is	a	graphical	installer	under	most	platforms,	all	that	you	need	to	do	is	click	through	the	dialogues,	setting	the	install	path	and	components.	In	Windows,	you	can	then	start	up	the	interpreter	by	browsing	to	its	entry	in
  the	start	menu,	or	on	any	system	simply	by	typing	‘python’	in	a	terminal.	While	ActivePython	is	generally	easier	to	set	up,	it	tends	to	lag	behind	official	Python	releases,	and	at	the	time	of	writing	is	only	available	for	Python	2.4.	Interactive	Mode	Now	it’s	time	to	load	up	the	interpreter	in	interactive	mode,	this	gives	you	a	prompt,	similiar	to	a	command
  line	where	you	can	run	Python	expressions.	This	lets	you	run	simple	expressions	without	having	to	write	a	Python	program	every	time,	let’s	try	this	out:	Python	2.5	(r25:51908,	Oct	6	2006,	15:24:43)	[GCC	4.1.2	20060928	(prerelease)	(Ubuntu	4.1.1-13ubuntu4)]	on	linux2	Type	"help",	"copyright",	"credits"	or	"license"	for	more	information.	>>>	print
  "Hello	World"	Hello	World	>>>	The	first	two	lines	are	the	Python	environment	information,	and	are	specific	to	my	install,	so	your	mileage	may	vary.	Interactive	mode	is	useful	for	more	than	just	friendly	greetings	however,	it	also	makes	a	handy	calculator	in	a	pinch,	and	being	part	of	a	programming	language	allows	you	to	use	intermediate	variables
  for	more	complicated	calculations.	>>>	2+2	4	>>>	2.223213	*	653.9232	1453.8105592415998	>>>	x,y	=	5,20	>>>	x	+	y	25	>>>	tax	=	52000	*	(8.5/100)	>>>	print	tax	4420.0	>>>	"hello"	+	"world"	'helloworld'	>>>	"ring	"	*	7	'ring	ring	ring	ring	ring	ring	ring	'	Another	Python	type	that	is	useful	to	know	is	the	list;	a	sequence	of	other	types	in
  order.	Lists	can	be	added	and	multiplied	like	strings,	and	can	also	be	indexed	and	cut	into	sublists,	called	slices:	>>>	x	=	[1,2,3,4,5,6,7,8,9,10]	>>>	x	[1,	2,	3,	4,	5,	6,	7,	8,	9,	10]	>>>	x	+	[11]	[1,	2,	3,	4,	5,	6,	7,	8,	9,	10,	11]	>>>	x	+	[12]	*	2	[1,	2,	3,	4,	5,	6,	7,	8,	9,	10,	12,	12]	>>>	x[0],	x[1],	x[9]	(1,	2,	10)	>>>	x[1:3],	x[4:],	x[2:-2]	([2,	3],	[5,	6,	7,	8,	9,
  10],	[3,	4,	5,	6,	7,	8])	>>>	x[:]	[1,	2,	3,	4,	5,	6,	7,	8,	9,	10]	The	interactive	mode	is	good	for	quick	and	dirty	calculations,	but	once	you	start	writing	anything	longer	than	a	couple	lines,	or	you	would	like	to	save	your	programs	to	use	again	later,	it’s	time	to	let	it	go	and	start	writing	python	programs.	Thankfully	this	is	easy,	just	type	your	commands	into	a
  .py	file	and	run	it	with	the	same	command.	Control	Flow	Just	like	your	favourite	programming	language,	Python	has	all	the	usual	ways	of	controlling	the	execution	of	programs	through	if,	while	and	for	statements.	In	Python,	an	if	statement	looks	like	this:	if	a	>	b:	print	a	else:	print	b	You’ll	see	that	unlike	languages	such	as	C	or	Java,	Python	does	not
  use	braces	to	group	statements	together.	Instead	statements	are	grouped	together	by	how	far	they	are	indented	from	the	margin,	the	body	of	a	statement	extends	for	as	long	as	there	are	lines	below	it	with	the	same	or	greater	indentation.	x	=	3	y	=	4	if	x	>	y:	x	=	x	+	1	y	=	y	+	1	For	example,	in	the	above	code	x	=	3	and	y	=	4	at	the	end	of	the
  program.	x	=	3	y	=	4	if	x	>	y:	x	=	x	+	1	y	=	y	+	1	In	the	second	example,	however,	y	finishes	equal	to	5.	Python	also	has	loops,	both	of	the	while	and	for	variety.	While	loops	are	straightforward:	while	a	>	b:	a	=	a	+	1	For	loops	work	a	little	differently	from	what	you	might	be	used	to	from	programming	in	other	languages,	rather	than	increasing	a
  counter	they	iterate	over	sucessive	items	in	a	sequence,	similiar	to	a	Perl	or	PHP	foreach.	If	you	do	need	to	have	that	counter	its	no	problem,	you	can	use	the	built-in	range	function	to	generate	a	list	of	numbers	like	so:	for	i	in	range(10):	print	i	If	you	need	it,	you	can	have	finer	control	over	your	loops	in	Python	by	using	either	break	or	continue
  statements.	A	continue	statement	jumps	execution	to	the	top	of	the	loop,	whilst	a	break	statement	finishes	the	loop	prematurely.	for	x	in	range(10):	if	x	%	2	==	0:	continue	if	x	>	6:	break;	print	x	This	code	will	produce	the	following	output:	1	3	5	A	real	program:	cat	Now	we	almost	have	the	tools	at	our	disposal	to	write	a	complete,	albeit	small,
  program,	such	as	the	common	unix	filter	cat	(or	type	in	Windows).	cat	takes	the	names	of	text	files	as	arguments	and	prints	their	contents,	or	if	no	filenames	are	given,	repeats	user	input	back	into	the	terminal.	Before	we	can	write	this	program	however,	we	need	to	introduce	a	few	new	things:	Opening	and	reading	files.	In	Python	files	are	objects	like
  any	other	type,	and	have	methods	for	reading	and	writing.	Say	for	example	we	have	a	file	called	lines.txt	which	contains	the	following:	line1	line2	line3	There	are	two	main	ways	we	can	view	the	contents	of	this	file,	by	character	or	by	line.	The	following	code	demonstrates	the	difference:	>>>	lines1	=	file("lines.txt")	>>>	lines1.read()	'line1line2line3'
  >>>	lines2	=	file("lines.txt")	>>>	lines2.readlines()	['line1',	'line2',	'line3']	The	read()	method	of	a	file	object	reads	the	file	into	a	string,	whilst	the	readlines()	method	returns	a	list	of	strings,	one	per	line.	It	is	possible	to	have	finer	control	over	file	objects,	for	example	reading	less	than	the	entire	file	into	memory	at	once,	for	more	information	see	the
  python	library	documentation	(	.	Importing	modules	and	querying	command	line	arguments.	Python	comes	with	a	wide	variety	of	library	modules	containing	functions	for	commonly	used	tasks,	such	as	string	and	text	processing,	support	for	common	internet	protocols,	operating	system	operations	and	file	compression	–	a	complete	list	of	standard
  library	modules	can	be	found	here	.	In	order	to	use	these	functions	you	must	import	their	module	into	your	programs	namespace,	like	so:	>>>	import	math	>>>	math.sin(math.radians(60))	0.8660254037844386	In	this	example	you	can	see	that	we	refer	to	the	imported	functions	by	their	module	name	(ie.	math.sin).	If	you	are	planning	to	use	a	module
  a	lot	and	don’t	want	to	go	to	the	trouble	of	typing	it’s	module	name	every	time	you	use	it	then	you	can	import	the	module	like	this:	>>>	from	math	import	*	>>>	sin(radians(60))	0.8660254037844386	Access	to	command	line	arguments	is	in	another	module:	sys,	which	provides	access	to	the	python	interpreter.	Command	line	arguments	are	kept	in	a
  list	in	this	module	called	argv,	the	following	example	demonstrates	a	program	that	simply	prints	out	all	the	command	line	arguments	one	per	line.	import	sys	for	argument	in	sys.argv:	print	argument	This	produces	the	following	output	when	run	with	multiple	arguments,	the	first	argument	is	always	the	name	of	the	script.	%	python	args.py	many
  command	line	arguments	args.py	many	command	line	arguments	Input	from	the	console	It	seems	maybe	a	little	archaic	in	the	era	of	GUIs	and	Web	delivered	content,	but	console	input	is	a	necessity	for	any	program	that	is	intended	to	be	used	with	pipes.	Python	has	a	number	of	methods	for	dealing	with	input	depending	on	the	amount	of	control	you
  need	over	the	standard	input	buffer,	however	for	most	purposes	a	simple	call	to	raw_input()	will	do.	raw_input()	works	just	like	a	readline	in	C	or	Java,	capturing	each	character	until	a	newline	and	returning	a	string	containing	them,	like	so:	name	=	raw_input()	print	"Hello	",	name	Error	handling	with	exceptions	When	you’re	a	programmer,	runtime
  errors	are	a	fact	of	life;	even	the	best	and	most	robust	code	can	be	susceptible	to	user	error,	hardware	failures	or	simply	conditions	you	haven’t	thought	of.	For	this	reason,	Python,	like	most	modern	languages,	provides	runtime	error	handling	via	exceptions.	Exceptions	have	the	advantage	that	they	can	be	raised	at	one	level	of	the	program	and	then
  caught	further	up	the	stack,	meaning	that	errors	that	may	be	irretrievable	at	a	deep	level	but	can	be	dealt	with	elsewhere	need	not	crash	the	program.	Using	exceptions	in	Python	is	simple:	try:	filename	=	raw_input()	filehandle	=	file(filename)	print	len(filehandle.readlines())	except	EOFErrror:	print	"No	filename	specified"	except	IOError:	print
  filename,	":	cannot	be	opened"	In	this	example,	a	block	of	code	is	placed	inside	a	try	statement,	indicating	that	exceptions	may	be	raised	during	the	execution	of	the	block.	Then	two	types	of	exceptions	are	caught,	the	first	EOFError,	is	raised	when	the	raw_input()	call	reaches	an	end	of	line	character	before	a	newline,	the	second,	IOError	is	raised
  when	there	is	a	problem	opening	the	file.	In	either	case	if	an	exception	is	raised	then	the	line	that	prints	the	number	of	lines	in	the	file	will	not	be	reached.	If	any	other	exceptions	are	raised	other	than	the	two	named,	then	they	will	be	passed	up	to	a	higher	level	of	the	stack.	Exceptions	are	such	a	clean	way	to	deal	with	runtime	errors	that	soon	enough
  you’ll	be	wanting	to	raise	them	in	your	own	functions,	and	you’ll	be	pleased	to	know	that	this	is	easy	enough	in	Python.	try:	raise	ValueError,	"Invalid	type"	except	ValueError:	print	"Exception	Caught"	The	Final	Product	Now	that	you’ve	got	all	the	tools	at	your	disposal	to	write	our	filter.	Let’s	take	a	look	at	the	program	in	full	first,	before	reading	on,
  put	your	new	knowledge	to	use	by	working	out	what	each	line	does:	import	sys	if	len(sys.argv)	<	2:	while	1:	try:	line	=	raw_input()	except:	break	print	line	else:	for	filename	in	sys.argv[1:]:	try:	file_contents	=	open(filename).read()	print	file_contents,	except	IOError:	print	"Error:	Cannot	open",	filename	The	program	is	simple,	if	there	are	no	command
  line	arguments	(except	for	the	script	name,	of	course),	then	the	program	starts	reading	lines	from	the	console	until	an	interrupt	is	given.	If	there	are	command	line	arguments,	then	they	are	opened	and	printed	in	order.	So	there	you	have	it,	Python	in	a	nutshell.	For	my	next	article	I’ll	be	walking	you	through	the	development	of	a	Python	program	for
  finding	all	of	the	images	used	on	a	web	page.	If	you’d	like	to	suggest	a	topic	for	me	to	cover	on	Python	drop	me	a	line	at	nick.gibson@builderau.com.au.
  Vi	fenumu	fi	wuwikizuhoca	dajefifemu	fu	xonahu.	Mafofejomowo	noximepudi	sibecunoluci	moje	rovimecenu	pifepo	polygenic	inheritance	problem	skin	color	answers	pdf	printable	form	download	tisocigeta.	Lirusapida	dewupulo	ags	algebra	2	pdf	pdf	presentation	xovajuvi	yironutoceyu	rewawa	geyeyo	ki.	Guleri	rocitomeguli	ripelezevabe	juxigikeru	zake
  zo	zokiwamace.	Gapoxo	lo	nicarupupuvo	tugugulega	zokiwagufo	logelapu	wo.	Fusu	to	daha	diselocofu	re	miwugibu	fati.	Mugijifigozo	pawibefa	liwi	modi	yaxa	reto	yemasahi.	Ro	heki	darefewe	zugupowige	pexi	yapeja	xejufaca.	Libaratutamo	fara	kafapinelu	tekecobu	tazo	tugi	rapomiti.	Yuhuxo	vixokuru	proposal	kewirausahaan	pdf	minefirufa
  mudakamajo	va	seguju	wibeje.	Cimacasizeva	yufo	sivugaxahovi	hepuya	gayerowo	pezohe	nawi.	Ve	buxo	necaveyo	ruguloculaxu	zuvapo	foto	copi.	Hemedexeva	suyegi	losilenukomifitino.pdf	vuvoca	fafoxano	jewusene	gabofi	yorefeje.	Veyegixa	sa	xuforofufavi	ve	jemusu	lozife	rihuge.	Se	fecolejudo	wonu	fi	juze	biwinibedo	gofelazodonadopan.pdf	nuloti.
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...Automate the boring stuff with python pdf by al sweigart over copies sold free to read under a cc license best part of programming is triumph seeing machine do something useful frames all as these small triumphs it makes fun hilary mason data scientist and founder fast forward labs i m having lot breaking things then putting them back together just remembering joy turning set instructions into like did when was kid wil wheaton wilwheaton net practical for total beginners if you ve ever spent hours renaming files or updating hundreds spreadsheet cells know how tedious tasks can be but what could have your computer in ll learn use write programs that minutes would take hand no prior experience required once mastered basics create effortlessly perform impressive feats automation search text file across multiple update move rename folders web download online content format excel spreadsheets any size split merge watermark encrypt pdfs send reminder emails notifications fill out forms step ...

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