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automate the boring stuff with python 2nd edition pdf github the second edition of this best selling python book 100 000 copies sold in print alone uses python 3 to ...

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                             Automate	the	boring	stuff	with	python	2nd	edition	pdf	github
  The	second	edition	of	this	best-selling	Python	book	(100,000+	copies	sold	in	print	alone)	uses	Python	3	to	teach	even	the	technically	uninclined	how	to	write	programs	that	do	in	minutes	what	would	take	hours	to	do	by	hand.	There	is	no	prior	programming	experience	required	and	the	book	is	loved	by	liberal	arts	majors	and	geeks	alike.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	forms	Step-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.	Add	a	description,	image,
  and	links	to	the	automate-the-boring-stuff-2nd-ed	topic	page	so	that	developers	can	more	easily	learn	about	it.	Curate	this	topic	To	associate	your	repository	with	the	automate-the-boring-stuff-2nd-ed	topic,	visit	your	repo's	landing	page	and	select	"manage	topics."	Learn	more	You	can’t	perform	that	action	at	this	time.	You	signed	in	with	another	tab	or
  window.	Reload	to	refresh	your	session.	You	signed	out	in	another	tab	or	window.	Reload	to	refresh	your	session.	The	guiding	principle	for	what	to	include	in	Python	Crash	Course	was,	“What’s	the	least	you	need	to	know	in	order	to	begin	working	on	meaningful	projects?”	The	answer	to	that	question	became	the	first	half	of	the	book.	It’s	a	good
  approach	that	has	allowed	many	people	to	go	from	knowing	little	or	nothing	about	Python,	to	understanding	how	to	approach	larger	projects.	If	you	know	you	want	to	get	further	into	Python,	however,	there’s	a	lot	more	you’ll	want	to	learn.	You	don’t	need	to	learn	it	all	at	once,	but	you	should	be	aware	of	what	there	is	to	learn,	and	what	resources
  might	help	you	learn	intermediate	Python	concepts	and	tools.	This	section	will	help	you	figure	out	how	to	learn	more	about	Python.	You	don’t	have	to	start	here;	many	context-specific	resources	will	introduce	you	to	intermediate	concepts	while	focusing	on	a	specific	context.	Also,	it’s	a	great	idea	to	just	start	building	some	projects	based	on	what
  you’ve	learned	from	Python	Crash	Course.	The	book	covers	just	the	basics,	but	there’s	a	whole	lot	you	can	do	with	what	you’ve	already	learned!	Much	of	what’s	to	come	is	just	about	doing	this	same	kind	of	work	more	efficiently.	Books	and	Print	Resources	Online	Resources	Podcasts	Talks	Email	Lists	PyCoder’s	Weekly	PCC	Newsletter,	by	Eric	Matthes
  Books	and	Print	Resources	Automate	the	Boring	Stuff	with	Python	(2nd	Edition),	by	Al	Sweigart	Python	Crash	Course	and	Automate	the	Boring	Stuff	are	two	of	the	most	frequently	recommended	introductory	Python	books,	and	they	are	often	recommended	together.	PCC	builds	a	foundation	in	basic	programming	concepts	and	tools,	and	then	jumps
  into	a	series	of	meaningful	projects.	ATBS	introduces	programming	concepts	and	tools	through	a	series	of	smaller	projects	that	help	people	automate	common	tasks.	PCC	readers	often	follow	up	PCC	with	ATBS,	to	expand	their	understanding	of	how	to	apply	Python	to	common	tasks;	ATBS	readers	often	follow	up	ATBS	with	PCC	to	solidify	their
  understanding	of	fundamental	programming	concepts,	and	to	apply	what	they’ve	learned	to	more	in-depth	projects.	There’s	a	lot	of	overlap	between	these	two	books,	but	there’s	enough	unique	material	in	each	one	to	make	them	quite	worthwhile	to	read	together.	I’ve	often	found	myself	skimming	sections	of	ATBS	when	I’ve	had	to	work	with	PDFs,
  Word	documents,	and	spreadsheets	through	Python	for	specific	projects.	You	can	buy	Automate	the	Boring	Stuff	directly	from	No	Starch	Press,	through	Barnes	and	Noble	or	Amazon,	and	you	can	read	an	online	version	as	well.	If	you	buy	direct	from	No	Starch	Press,	e-versions	of	the	book	are	included	with	the	print	version.	top	Python	Flash	Cards,	by
  Eric	Matthes	No	Starch	Press	publishes	a	set	of	Scratch	Coding	Cards	for	kids,	and	they	asked	if	I’d	develop	a	set	of	flash	cards	focusing	on	Python	for	learners	of	all	ages.	This	was	a	really	interesting	project	to	work	on;	it’s	interesting	to	come	up	with	meaningful	bite-size	chunks	of	Python	to	focus	on.	The	first	group	of	cards	covers	Concepts	and
  Vocabulary,	to	help	you	understand	many	of	the	essential	terms	that	are	thrown	around	regularly	by	programmers.	The	rest	of	the	groups	focus	on	specific	kinds	of	syntax	and	tools,	such	as	Simple	Data	Types	and	Lists	and	Tuples.	You	can	see	a	table	of	contents	for	the	entire	set	here.	The	cards	haven’t	made	a	strong	impression	online,	but	when	I’ve
  spent	time	at	the	No	Starch	booth	at	PyCon	many	people	bought	a	set	after	seeing	the	cards	in	person.	Teachers	have	also	been	enthusiastic	about	them,	as	there	are	a	number	of	ways	they	can	be	used	in	the	classroom.	If	you	like	working	with	offline	learning	materials	at	times	and	like	your	learning	in	bite-size	chunks,	you	might	like	the	flash	cards.
  You	can	buy	them	direct	from	No	Starch	Press	or	through	Barnes	and	Noble	or	Amazon.	You	can	also	see	them	in	person	at	Barnes	and	Noble	stores.	top	Fluent	Python,	by	Luciano	Ramlho	I	was	very	happy	to	see	Fluent	Python	appear	in	print.	Luciano	Ramalho	has	been	using	Python	for	over	20	years,	and	he’s	spent	much	of	that	time	helping	people
  learn	to	use	Python	at	all	levels,	for	many	different	purposes.	That	puts	him	in	a	great	position	to	share	intermediate	and	advanced	Python	concepts,	in	a	way	that	will	help	you	use	these	concepts	in	your	own	projects.	Fluent	Python	is	not	just	a	reference	book.	It’s	meant	to	be	read,	and	it’s	meant	to	help	you	develop	a	thorough	understanding	of	how
  Python	is	best	used	to	represent	abstract	and	concrete	real-world	situations.	Luciano	doesn’t	just	tell	you	how	to	do	things	with	Python,	he	tells	you	why	things	should	be	done	this	way	as	well.	Fluent	Python	is	closer	to	an	advanced	book	than	an	intermediate	book.	It	counts	on	you	knowing	basic	and	intermediate	Python	concepts,	but	it	also	expects
  you	to	have	spent	some	time	using	Python	in	a	variety	of	real-world	projects.	If	you’re	not	quite	there	yet,	it’s	still	a	great	book	to	have	in	your	library	and	work	through	over	time.	I	haven’t	read	much	of	it	yet,	but	I	eye	it	all	the	time	and	I’m	really	looking	forward	to	making	time	to	give	it	a	proper	reading.	I’m	sure	it	will	make	me	a	better	Python
  programmer,	and	I	appreciate	Luciano	for	having	put	so	much	thought	into	how	to	present	these	concepts.	You	can	read	Fluent	Python	through	O’Reilly’s	online	platform,	or	you	can	buy	it	from	Barnes	and	Noble	or	Amazon.	top	Learning	Python	(5th	Edition),	by	Mark	Lutz	Weighing	in	at	over	1600	pages,	Learning	Python	is	more	of	a	reference	text
  than	a	book	to	read	straight	through.	It	was	the	first	book	I	bought	when	I	started	using	Python	more	seriously	just	over	10	years	ago.	Back	then	it	was	“only”	1150	pages,	and	I	still	didn’t	read	through	it	cover	to	cover.	I	include	it	here	because	it’s	nice	to	have	a	thorough	offline	reference	available	to	look	at	sometimes	when	you	want	to	dig	really
  deep	into	a	specific	Python	topic.	But	I	also	see	Learning	Python	recommended	quite	often,	and	I	wish	people	would	be	more	clear	about	how	dense	this	book	is	when	they	recommend	it.	If	you	want	a	thorough	reference,	by	all	means	go	ahead	and	buy	it.	But	don’t	be	surprised	when	a	5-pound	packages	shows	up	at	your	door!	You	can	read	Learning
  Python	through	O’Reilly’s	online	platform,	or	you	can	buy	it	from	Barnes	and	Noble	or	Amazon.	top	Effective	Python,	by	Brett	Slatkin	I	have	only	skimmed	a	few	parts	of	Effective	Python,	but	I	really	like	what	I’ve	seen	so	far.	The	subtitle	90	Specific	Ways	to	Write	Better	Python	is	a	pretty	good	description	of	how	the	book	is	structured.	The	90	tips	are
  organized	into	topical	groups,	so	the	book	is	coherent	overall	but	also	nicely	chunked	for	shorter	reading	sessions.	It’s	a	great	book	to	read	over	coffee	each	morning,	or	on	a	commute,	or	just	before	bed	when	you	don’t	want	to	be	looking	at	a	screen.	The	author	assumes	you’ve	already	learned	Python,	and	his	goal	is	to	share	how	to	use	it	more
  effectively.	It’s	really	good	at	offering	a	broader	perspective	on	how	specific	aspects	of	the	Python	language	fit	into	the	context	of	larger,	messy	projects.	These	tips	are	gleaned	from	years	of	real-world	Python	use,	and	they’ll	almost	certainly	make	you	a	better	programmer.	You	can	see	more	about	the	book	at	effectivepython.com,	and	you	can	buy	it
  from	Barnes	and	Noble	or	Amazon.	top	Python	Tricks,	by	Dan	Bader	Python	Tricks:	A	Buffet	of	Awesome	Python	Features	is	structured	a	lot	like	Effective	Python,	in	small	easy-to-read	chunks.	I	like	this	kind	of	book	from	people	who’ve	spent	a	lot	of	time	working	with	messy	real-world	code.	Rather	than	“tricks”,	which	is	catchy	but	minimizes	the
  content	a	little,	this	is	a	collection	of	mini-essays	on	subtle	aspects	of	commonly-used	Python	elements.	Reading	through	these	sections	will	have	an	immediate	impact	on	the	quality	of	your	code,	and	your	understanding	of	the	language	as	a	whole.	You’ll	see	some	things	you	already	know,	some	things	you	didn’t	know	but	are	ready	to	learn,	and	some
  things	that	probably	won’t	make	sense	until	you’ve	gained	more	experience.	To	me,	this	is	a	sign	of	a	worthwhile	learning	resource.	You	can	download	a	sample	section	of	the	book,	or	buy	it	on	Amazon.	top	Serious	Python,	by	Julien	Danjou	Serious	Python	is	more	of	an	advanced	book	than	an	intermediate	book.	So	why	recommend	it	as	a	followup	to
  PCC?	At	just	over	200	pages,	it	won’t	take	up	a	whole	lot	of	space	on	your	shelf.	But	it’s	packed	with	explanations	of	exactly	the	kinds	of	things	I’ve	had	to	painstakingly	look	up	over	the	years	as	I’ve	worked	on	progressively	more	serious	projects;	the	title	of	this	book	is	perfect.	Don’t	expect	to	read	this	book	through	and	understand	everything	in	it.	I
  recommend	skimming	through	the	table	of	contents,	and	then	skimming	the	sections	that	seem	somewhat	accessible	and	relevant	to	the	work	you’re	doing.	This	way	you’ll	know	what’s	in	the	book,	and	when	those	issues	come	up	in	your	own	projects	you’ll	know	to	read	through	the	relevant	sections	more	closely.	The	book	discusses	how	to	structure	a
  serious	Python	project,	professional	approaches	to	interrnal	documentation,	how	to	deal	with	dates	and	times	in	a	reliable	manner,	how	to	distribute	your	software,	testing,	optimizing	your	code,	and	more.	Update:	I	just	finished	reading	this	book	cover	to	cover,	and	wrote	a	full	review	here.	If	you	buy	the	book	direct	from	No	Starch	Press	you’ll	get
  the	ebook	for	free.	You	can	also	order	a	copy	from	Barnes	and	Noble	or	Amazon.	You	can	see	the	table	of	contents	here.	top	Online	Resources	Official	Python	Documentation	The	official	Python	documentation	is	an	important	resource	to	be	aware	of,	and	it	will	likely	become	more	meaningful	to	you	as	you	gain	more	experience	with	the	language.	That
  said,	it	can	be	hard	to	know	where	to	start.	Here’s	a	quick	overview	to	help	you	start	to	make	sense	of	the	documentation:	The	home	page	for	the	documentation	lists	a	number	of	ways	to	start	reading.	The	home	page	for	the	Python	3.8	documentation	is	a	good	place	to	start	exploring	the	documentation	in	more	depth.	You	can	see	an	overview	of
  what’s	new	in	Python	3.8.	New	features	in	Python	these	days	tend	to	focus	on	more	advanced	use	cases.	As	you	start	to	use	Python	in	a	variety	of	real-world	projects,	looking	at	the	“What’s	New”	page	will	become	more	interesting	and	relevant.	The	official	tutorial	is	well	worth	going	through.	Much	of	it	will	look	familar	from	what	you	saw	in	PCC,	but
  it	will	also	fill	in	some	of	the	gaps	of	what	was	left	out	of	PCC.	I	keep	meaning	to	work	through	this	myself,	and	I	hope	to	make	time	for	it	before	too	long.	The	standard	library	documentation	is	probably	the	section	of	the	docs	that	I	visit	most	often.	This	is	where	you’ll	find	the	full	descriptions	of	how	lists	and	dictionaries	work,	for	example.	You	could
  spend	a	lifetime	reading	the	docs.	Be	careful	not	to	get	lost	in	the	docs	or	overwhelmed	by	them;	they’re	meant	as	a	reference,	not	as	regular	reading	material.	As	you	gain	experience	with	the	language	you’ll	be	able	to	interpret	the	official	documentation	more	quickly	and	easily.	Still,	most	people	spend	the	bulk	of	their	time	learning	from	books,
  talks,	blog	posts,	and	articles.	top	Real	Python	I’ve	been	using	Python	for	almost	15	years	now,	which	means	I’ve	been	googling	Python-related	topics	almost	daily	for	15	years.	Recently	I’ve	noticed	a	lot	more	Real	Python	resources	appearing	in	my	search	results,	on	a	wide	range	of	topics	from	beginner	to	advanced.	And	every	article	I’ve	clicked	on
  has	been	well-written	and	informative	from	beginning	to	end.	Real	Python	features	text	and	video	articles,	tutorials,	interviews,	quizzes,	and	much	more.	If	you	haven’t	already	found	your	way	there,	check	them	out.	top	Corey	Schafer’s	YouTube	Channel,	by	Corey	Schafer	I	visit	r/learnpython	almost	every	day,	and	one	of	the	things	I	watch	for	is	which
  learning	resources	are	recommended.	One	of	the	most	consistently-recommended	resources	is	Corey	Schafer’s	YouTube	channel.	There	are	videos	about	the	core	Python	language,	and	all	kinds	of	library-	and	application-specific	topics	as	well.	If	you	like	learning	from	videos,	this	is	a	great	resource	to	check	out.	top	Podcasts	Talk	Python	To	Me,	by
  Michael	Kennedy	Talk	Python	To	Me	is	a	long-running	Python	podcast,	with	265	episodes	at	the	time	of	this	writing.	See	episodes	and	listen	at	talkpython.fm.	Python	Bytes,	by	Michael	Kennedy	and	Brian	Okken	Python	Bytes	started	as	a	spinoff	from	Talk	Python	To	Me,	with	a	shorter	format	and	a	focus	more	on	news.	It’s	at	182	episodes	now,	so
  there’s	a	lot	of	content	to	look	through	if	you’re	new	to	Python	podcasts.	Check	it	out	at	pythonbytes.fm.	Podcast.__init__(),	by	Tobias	Macey	Podcast.__init__()	has	been	running	since	2014,	and	is	currently	on	episode	263.	Episodes	focus	on	people	and	projects	in	the	Python	community.	See	episodes	and	listen	at	pythonpodcast.com.	top	Talks	Python
  conferences	happen	all	over	the	world,	and	talks	are	the	central	feature	of	most	conferences.	Many	of	these	talks	are	recorded,	and	they	range	from	talks	for	absolute	beginners	to	talks	on	the	most	advanced	topics.	Here	are	a	couple	talks	I	attended,	and	thoroughly	enjoyed.	Don’t	stop	with	these	though,	there	are	good	talks	on	almost	any	Python
  topic	you	might	be	interested	in.	Beyond	PEP	8:	Best	practices	for	beautiful	intelligible	code,	by	Raymond	Hettinger	(PyCon	2015)	Raymond	Hettinger	is	one	of	the	core	Python	developers,	and	he’s	one	of	the	most	well-known	Python	presenters	around.	If	you	have	the	chance	to	attend	one	of	his	talks,	get	there	early	because	they’re	almost	always
  standing-room-only.	There’s	something	for	everyone	in	this	talk	where	he	focuses	on	refactoring	and	making	your	code	more	beautiful	and	elegant,	in	ways	that	go	beyond	just	formatting.	If	you	like	this	talk,	he	has	another	one	called	Transforming	Code	into	Beautiful,	Idiomatic	Python	here.	The	Dictionary	Even	Mightier,	by	Brandon	Rhodes	(PyCon
  2017)	Dictionaries	have	been	part	of	the	Python	language	for	decades,	yet	core	developers	are	always	looking	for	ways	to	make	them	more	efficient.	In	this	talk	Brandon	Rhodes	dives	into	how	dictionaries	are	implemented	under	the	hood,	and	how	they	were	made	more	efficient	and	more	useful	in	recent	years.	You’ll	be	amazed	at	the	level	of	thinking
  that	goes	into	something	as	fundamental	as	dictionaries.	PyCon	2017	Keynote,	by	Lisa	Guo	and	Hui	Ding	In	this	talk	Instagram	engineers	Lisa	Guo	and	Hui	Ding	describe	how	Instagram	manages	to	serve	hundreds	of	millions	of	users	on	a	daily	basis,	and	how	they	migrated	from	Python	2	to	Python	3	without	any	downtime.	I	will	probably	never	work
  on	a	project	at	this	scale,	but	it	was	fascinating	and	inspiring	to	hear	people	describe	what	it’s	like	to	work	on	a	project	like	this.	top	Email	Lists	PyCoder’s	Weekly	PyCoder’s	Weekly	is	a	weekly	newsletter	that’s	been	running	since	2012.	It	highlights	news	in	the	Python	community,	discussions,	open	jobs,	articles	and	tutorials,	and	new	projects.	You
  can	see	the	latest	issue	and	sign	up	for	weekly	emails	at	pycoders.com.	PCC	Newsletter,	by	Eric	Matthes	I	offer	an	email	list	for	people	who	are	interested	in	knowing	when	new	resources	related	to	Python	Crash	Course	come	out.	I	send	an	email	about	once	a	month;	I	only	send	emails	when	there	is	new	content	to	share.	If	you’re	interested,	you	can
  sign	up	here.	top
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