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This course is 8 years old yet still the best.

*Summary of the Video:* *file.open("path", "mode")* --> opens the file in respective mode. *Modes* *'r'* --> for read file contents. *'w'* --> for writing to file. *'a'* --> for eppending file contents. *'r+'* --> for reading and writing *'b'* --> to open file in binary mode (for reading images) *Note:* We can use different modes together like 'rb' can be used for reading a binary file. *file.close()* --> closes a file. *file.mode* --> returns the mode the file was opened in. *file.name* --> returns the name of the file as a string. For effiency we use context managers. The automatically close the file once we are out of the context manager the file was opened in. We can open a file using a context manager and assign the result to a variable. We can use this variable inside the context manager. *Reading from files* *file.read([size])* --> This method typically reads the entire content of the file. But if provided with a size (which is an optional argument), it can read 'size' number of characters. If used repeatedly, it always continues from the next character to the last character it read. *file.readlines()* --> returns a list of all of the lines of the file. (adds to represent start of next line) *file.readline()* --> Reads a single line from the file. If called repeatedly, it can read all of the lines one by one. *Note:* A file is treated as an iterable in python. This simply means that we can iterate over the lines of the file using a for loop (like we would loop over the elements of a list). We can also use a while loop to iterate over the contents of a file. We do this by specifing the number of characters we want to read at each iteration. Then we repeatedly used file.read() method to read the characters until there is nothing left to read. _size = 10_ _fileContents = file.read(size)_ _while len(fileContents) > 0:_ # while the length of what we have read is not 0, continue reading _print(fileContents, end=''')_ _fileContents = file.read(size)_ The *tell()* and *seek()* methods. Just like arrays, files are also zero-indexed. This means that the first element has a index of 0, second element has an index of 1 and so on. Python uses a pointer to keep track of where it should be reading from and writing to the files. In the start this point is at 0. As we read from the file, this pointer moves. For example, if we read 10 characters, this means that the pointer is not at index 10; it is going to read the 11th character next. It read from the 1st till the 10th characters (10th inclusive). Similiar mechanism is used for writing to files. *file.tell()* --> returns the position of where the pointer is. *file.seek(new_position)* --> sets the pointer to the specified position. *Writing to Files* The file should be opened in the 'write' mode. (mode = 'w'). *file.write(content)* --> writes the contents to the file. *Note:* trying to write to a file that does not exist will first create the file and then perform the writing operation. You can use nested (one in another) context managers to simultaneously read from a file and write to another file. Here is the code: _with open("readFilePath", 'r') as readFile:_ _with open("writeFilePath", 'w') as writeFile:_ _for line in readFile: _writeFile.write(line) You can also do: _with open("readFilePath", 'r') as readFile:_ _with open("writeFilePath", 'w') as writeFile:_ _writeFile.write(readFile.read())_ I hope this helps!

At 20:00, we can also copy the file contents by writing: wf.write(rf.read())

Corey, loves your Django series, will you please also create php series?

Hi @Corey - amazing work this and others! more power to you Quick question tho - were you able to get the answer to why some method do not have inplace argument

So if this librarys is named __name__.py, __name__.count(__name__) == 1 but then I get __main__ if ran from shell like ` -c ''import __name__` \\\: ?

They should make an statue of you...

i love this library :)

Beautiful 🤩

If anyone wondering how to do df2 with concat then this is how it goes df = pd.concat([df,pd.dataframe(df2)], ignore_index=True) 12:14

🎯 Key points for quick navigation: 00:00 *🏗️ Creación y uso de clases en Python* - Las clases en Python permiten agrupar lógicamente datos y funciones para facilitar su reutilización y ampliación. - Los atributos y métodos de una clase representan los datos y funciones asociados a la misma. - En este video, aprenderemos los conceptos básicos de creación e instanciación de clases. 01:20 *📋 Creación de una clase simple: `Employee`* - Ejemplo de una clase `Employee` que representa a los empleados de una empresa. - Cada instancia de la clase `Employee` representa a un empleado específico con atributos únicos. - Se puede utilizar una clase como plantilla para crear múltiples instancias con datos personalizados. 05:20 *🚀 Método especial `__init__` (constructor)* - El método `__init__` se utiliza para inicializar las instancias de una clase con valores específicos. - Permite definir cómo se deben configurar automáticamente los atributos de una instancia al ser creada. - Los argumentos del método `__init__` corresponden a los valores que se desean asignar a los atributos de la instancia. 09:09 *🔄 Creación de métodos en una clase* - Los métodos en una clase permiten definir acciones que pueden realizar las instancias de la clase. - Proporcionan una forma organizada de agrupar funcionalidades relacionadas con la clase. - Los métodos pueden acceder a los atributos de la instancia utilizando la referencia `self`. Made with HARPA AI

Do you have any video for getters?

Amazing video. Congrats. I have a few questions, if you could explain them to me would be amazing: 1) I don’t see you specifying a max number of processes to be spawned. So, will the Pol spawn N process, wherein N is the lenght of the list? If yes, how will it handle a list with 100k elements in a 10-core processor? 2) How can I prevent that two or more processes don’t process on the same image? Moreover, ideallly would be efficient if each process handle a chunk of the list.

Where is test.txt ? T______T

Hi how to do deployment for mysql or postgre.

The long string before the $ is distracting.

Corey please create a complete dedicated playlist for selenium just like your python playlist

Corey, thanks for this interesting series. Would you please make a video for this part with a n updated version of flask_mail. I got an error at this stage.

Quick question, how were you able to partially select your symbol names then replace them? Like the test_add, you were able to select only a few add then replace them with, for example, "subtraction"?

I tried sending GET request in your website, but its not working showing Cancelled error

Awesome video Corey , your videos are awesome !

My login isn't working and I'm not getting logged in

What a great tutorial! Thank you.

Best python teach ever. Thank you corey

Change ur success_Url = '/blog/ if you are just following everything, the link' /' will not be found

Let me se if i got it right... so basicaly when you use l2 = l1 in Python is the same thing as you use int* l2 = l1 to point to the l1 array in C, both lists (or arrays) end up refering to the same memory address? But when i use l1, l2 = 100, 100 print(l1 is l2) It returns true, so why? I mean... i didnt use l1 = l2 although they have the same value... Is it because both are the same instance of the integer class in Python, and by that refers to the same object when l1 and l2 variables recives their values?

People need to learn chaining

@2:26 dang ole muscle memory got em hahahahaha

Yeah! this is still the best for best regular expression!

What a hell.is that rb wb. Its been long time watching python tutoriels and never see reading and writing in files with binary system. Corey you are God of python. Really you deserve Million thanks. Please keep going and uploading new videos.

the video was very helpful. thank you

After watching this, just went mad.

I studies python basics with three courses but i found myself missed alot . You are the best python teacher on the planet

love from India brother

El mejor video de find command

unable to import showing ModuleNotFoundError: No module named 'myeditor'

just curious but did you know that you accidently posted an ip address in this video not sure if you planned for that

#Arithmetic Operators: #Addition: 3+2 #Subtraction: 3-2 #Multiplication: 3*2 #Division: 3/2 #Floor Division: 3//2 #Exponent: 3**2 #Modulus: 3%2 #Comparisons: #Equal: 3 == 2 #Not Equal: 3 != 2 #Greater Than: 3 > 2 #Less Than: 3 < 2 #Greater or Equal 3 >= 2 #Less or Equal: 3 <= 2

Another great video. Thank you God, for sending us Corey 🫡

Does this still work with Pandas 2.0.2? I think it has a new interface so the traditional legacy call does not work with a regular expression anymore.

The best one teaches you python

thanks very much! finished all videos in this series! these videos cant be much helpful for they are being so systematic and easy to follow, even for a non native english speaker. Are there opportunities for us to watch lectures by you covering numpy?

Thank You 🙏🙏

Old but Gold. What an excellent explanation

i finished it!!!

Thanks

Sir is it this playlist arranged in order

Thank You 🙏🙏

nice

Since smtpd has been removed in Python 3.10 and later versions, you cannot use the smtpd module directly with Python 3.12. Instead, you should use the aiosmtpd package, which provides similar functionality and is compatible with modern Python versions.