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Python Packages Explained for Beginners | (ಕನ್ನಡ) Kannada Programming Course

Unlock the power of Packages in Python with @skillfloor.official beginner-friendly tutorial in (ಕನ್ನಡ) Kannada!

This video introduces you to Python packages, explaining what they are, why they are important, and how to create and use them effectively.

Learn how packages help organize your code and reuse functionality, making your Python projects cleaner and more manageable.

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Transcript
00:00Hello, Hello.
00:02In this video, we will talk about Python Packages.
00:06Python Packages will be able to use the package package.
00:12We will use the package to use the module.
00:16How do we use the module?
00:18We will use built-in modules.
00:20We will use the user to define the module.
00:23We will use this module.
00:25We will learn about all these topics.
00:35What is Python Packages?
00:37What is Python Package?
00:39First of all, if you have a topic,
00:41we will learn about the topic.
00:45What is Python Package?
00:47We will learn about the package folder.
00:51We have a folder in our computer.
00:53We have a folder that contains Python files.
00:57For example, if you have Python.
00:59If you have a local system,
01:01you can create a folder in your local system.
01:03In that folder,
01:05we have a folder that contains Python files.
01:09That is also our packages.
01:11Packages,
01:13we have a folder that contains Python files.
01:17Think of it like a folder that contains Python files.
01:21Our folder,
01:23our package is a folder.
01:25This folder,
01:27we can use Python to store all the files.
01:33These files,
01:35we can use the files to define the files.
01:37We can use the functions,
01:39we can use the definitions,
01:41we can define the variables.
01:43We can use the files to define the class.
01:45We can use all the functionalities.
01:47We can store all the packages.
01:50For example,
01:51String is our data type.
01:55String has many functionalities.
01:59Starts with, Ends with, Count, LEN.
02:03These are inbuilt functions.
02:07They are not coded.
02:11These functionalities are already pre-coded.
02:15These are modules.
02:19These are modules.
02:23These are modules.
02:25String has many functions,
02:29class definitions.
02:31These are all similar modules.
02:35We can store the package.
02:39We can work the package.
02:43Packages are a way to organize
02:47and structure your Python code
02:49into reusable components.
02:51Correct.
02:53For example,
02:55String has many functionalities.
02:57We can store all the packages.
03:07We can store all the packages.
03:09We can store all the packages.
03:11We can store all the packages.
03:13We can store all the modules.
03:15So Python.
03:17Python packages are a folder.
03:19That's why we have files.
03:23They are modules.
03:25The modules are related to the modules.
03:27Let's make a list of the modules that are connected to the functionalities.
03:31This is the package that you can find from you.
03:38They are collections of Python, modules, programs, and libraries.
03:43If you want to perform the action,
03:49Now, in the previous videos, we will look at NumPy, Pandas, Data Visualization Libraries, Manplotlib, such as modules and libraries,
04:03you will be able to collect every class in the previous class.
04:06There are many different lists. There are many different modules.
04:10There are many modules in the package.
04:15Now, in the previous videos, you can relate to these words.
04:20That is a module.
04:21There is a package.
04:23There is a module and a module.
04:25There is a file.
04:26There is a file.
04:27There is a folder.
04:29There is a folder.
04:31There is a package.
04:34So, in this package, there is a built-in package.
04:39And then, as a user, I will create a package.
04:44So, I will create a folder, Python files, and I will store it by the files.
04:52That is a user-defined packages.
04:54Define Packages, Nano-User, Define Packages.
04:58Built-in Packages are already in a form.
05:04We call it our folder or package, or we can import our working environment to our work environment.
05:13We call it a built-in package.
05:16Date and time package is the most important package.
05:20What is the date and time package?
05:22If we click on the date and time package,
05:28there are Spring, Float, Inter, and these two data types are last.
05:33The date and time package are the same data types.
05:37We call it the date list, for example, 2024,
05:462024, 207, 3, and 2.
05:49This format is like this.
05:52We have to do float as int.
05:54This is the data type.
05:57It has its own data type.
05:59We call it the date, and the year, month, and date, or year, date, and month.
06:05We call it the format.
06:07A date and Python is not a pen or a float or a string.
06:12It is its own data type.
06:14Okay?
06:15It's not a type of its own.
06:17It's not a type of its own data type.
06:20It's a type of its own data type.
06:21It's a type of its own data type.
06:23So, we call it the date and time package.
06:27It's all important.
06:29Data and time package in Python is a built-in module that provides classes for manipulating dates and time.
06:36So, in this built-in package, there are functionalities, date, time, date, and time, time, and delta.
06:45In this way, we use these modules and class definitions.
06:50That's when it's a type of a type of a type of time.
07:05So, when we do these modules and type of people, we call it the time package.
07:16This is the same thing that we have to do with manipulation.
07:20We have to say that date and time.
07:23Date, time, time, date, time and date, time.
07:27We have to do class definitions.
07:29If we have to do manipulation, time only.
07:33Next, we have to do math with dates and times.
07:37We have to do arithmetic operations.
07:39We have to do current date.
07:41We have to do this date and time.
07:45We have to do a few days.
07:47We have to do that date.
07:49We have to do that.
07:51We have to do arithmetic operations.
07:53We have to do this package and perform.
07:57Next, we have to do with time zones.
08:01Time zone and assign zone.
08:06We have to do these functionalities.
08:08We have to use methods and functions.
08:12We have to do time zones.
08:14We have to do time zones.
08:18We have to do other countries and countries.
08:20We have to do time zones.
08:22We have to do this or the problem.
08:24We have to do the difference.
08:26We have to do time zones.
08:28We have to do time zones.
08:30Next, converting date, time zones.
08:32We have to do formatting and parsing.
08:36We have to do this.
08:37For example,
08:38We have to use the date.
08:39We have to use the year and month.
08:40We have to use the date on the day.
08:48We can use the year, month, and day.
09:00We can use the concept of parsing and convert.
09:05We can use the concept of the format and we can use the format.
09:10We can use the formatting and parsing.
09:13We can use the concept of converting date and times.
09:17We can use the function of strip time.
09:21We can use the function of parsed dates.
09:25In this way, we can use the function of built-in functionalities.
09:29We can use the objects in the date and time.
09:33We can use the manipulations or updations.
09:36We can use the data to change the data.
09:43This is the date and time package.
09:47In this way, we can use the practical package.
09:51We can use the package, the module, the module, the file.
09:55There are class, variables, functions, and definitions.
09:59In this way, we can use the module as important as a package.
10:03Date and time package.
10:05Class functions, class definitions, functions.
10:09What time, date and time.
10:11Time package, pass, etc.
10:13This is the package to help.
10:15Try andjaw francs on this part.
10:17So give your letter a first and five minutes.
10:22, I will tell you the releases of the Smile function.
10:24I can use your any Lei function of the Smile function.
10:29I will� Teams.
10:30I will see you in another video.
10:33While inspire each law is the last one.
10:37Keep the registrationman, don't wait till he is still in付 notes.
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