Hey learners! Welcome to another deep learning tutorial, in which we are beginning the practical implementation of Python on the TensorFlow library. We installed and checked TensorFlow in detail while we were in the previous lecture, and today we are going to use it for our practice. We have checked the presence of a perfectly installed library of TensorFlow in our tutorials and seen the basic structure of this library. As a result, we will skip the details and jump right into learning Python. In this tutorial, the main focus will be on Python instead of learning the workings of TensorFlow. You have to remember one thing: all the discussion will be from the point of view of deep learning, and it is not a general tutorial in which you will learn to develop apps or have a discussion about th ...
Hey fellow! Welcome to the next episode of the Python series, where we are learning the basics of Python to implement them in deep learning. In the previous lecture, our focus was on string data types. With the practical implementation of TensorFlow, many interesting points were discussed in depth. I hope you completed the home task that I assigned you during that lecture. Today, we are moving forward with the next data type, which is a sequence. You will know the different sub-groups of this data type as well in the next lecture, but today, the focus will be totally on the list because, once you understand them well, other data types of the sequence will be at your fingertips. Yet before starting, it's time to look at the content that you will learn today:
What is a sequence?
How do you ...
Hello friends, I hope you all are doing great. In today's tutorial, I am going to show you How to use Data types in Python. It's our 2nd tutorial in Python series. In our first tutorial, we have seen a detailed introduction to python and we have also installed PyCharm IDE to work on python.
Today, we will understand data types in detail as in order to design an efficient program, you need to select correct data types. Incorrect selection may cause memory loss and may slow your application. So, let's get started with data types in Python:
Data types in Python
Data Types are used for the classification or categorization of similar data packets. There are numerous data types available in python, which we can use depending on our projects' requirem ...
Hola students! Welcome to the new Python tutorial, where we are learning about OOP. We all know why OOP is important in programming. In the previous lecture, a detailed overview of classes and objects was discussed. We are moving towards the next step of learning where our focus will be on inheritance. Yet, programming also contains inheritance. We have all read about inheritance in real life and are aware of the concepts surrounding it. This time, we will discuss these concepts according to the workings of the classes and related entities. The concept of inheritance is the same in both scenarios, and with the help of interesting examples, the practical implementation of inheritance will be shown to you, but first of all, it would be interesting to know about the main headings that will be ...
Hey, learners! Welcome to the next tutorial on Python with examples. We have been working with the collection of elements in different ways, and in the previous lecture, the topic was the built-in functions that were used with the sets in different ways. In the present lecture, we will pay heed to the basic operations of the set and their working in particular ways. We are making sure that each and every example is taken simply and easily, but the explanation is so clear that every user understands the concept and, at the same time, learns a new concept without any difficulty. The discussion will start after this short introduction of topics:
How do we declare and then find the difference between the two sets?
What are the built-in functions for operations, and how do we use them in the ...
Hey peeps! Are you excited to begin with the new chapter in Python? Till now, we have been learning the data types and their related concepts. Now, we are starting a new chapter where you will learn the details of Object Oriented Programming or OOP. We are moving towards the advanced level of programming in Python, and here, you will go through the complex but interesting concepts that will show us the fascinating results on the screen. This will be more clear when you will know the basic information about the OOP, but before going deep, we will go through the headlines of the lecture:
How do you classify the programming languages?
How do you introduce the OOP?
Why object-oriented programming is important in Python?
How do you define class and objects in OOP and how are they connected? ...
Welcome to chapter 8 of our python tutorial. In the previous chapter, we learned about Python numbers and how to use them in expressions. Throughout this chapter, you'll look at frequent examples of incorrect Python syntax and learn how to fix them.
At the end of this tutorial, you will:
Distinguish incorrect syntax in Python
Get familiar with SyntaxError tracebacks
Fix improper syntax or avoid it altogether
In Python, what is an invalid syntax?
Before transforming your Python code to Python byte code, the interpreter parses it. The parsing stage is where the interpreter searches for any instances of improper syntax in the program. Using the wrong syntax in your Python code will lead the interpreter to be unable to decipher it. The inter ...
Hello peeps! Welcome to the new episode of the Python tutorial. We have been working with different types of data collection in Python, and it is amazing to see that there are several ways to store and retrieve data. In the previous lecture, our focus was on the basics of dictionaries. We observed that there are many important topics in the dictionaries, and we must know all of them to make our base of concepts solid. For this, we are now dealing with the dictionaries in different ways, and this tutorial is going to be very interesting because we will pay more heed to the practical work and, by choosing a few cases in our codes, we will apply multiple operations to them. So have the highlights of today’s learning, and then we will move forward with the concepts.
What are nested diction ...
Hello students! Welcome to the new Python tutorial, where we are learning a lot about this programming language by applying the codes in a Jupyter notebook. It is interesting to see how simple codes with easy syntax can be useful to store, retrieve, and use data in different ways. Many things in Python are so unadorned and pre-defined that programmers may use them in a productive way without any issue.
In the previous lecture, we have seen the details of the sets and how different types of mathematical operations are used to get the required results. We have seen many codes, the examples of which were taken from day-to-day life. In the present lecture, the mission is to learn a new topic that is related to the concepts of previous lectures. Yet, it is important to have a glance at t ...
Welcome to the fourteenth chapter of our python tutorial course. In the last lesson, we looked at sets and operations done to sets, including union and intersection. In this tutorial, we'll take a closer look at lists and tuples to see how they're used. Python's most versatile and useful data types are lists and tuples. A non-trivial Python application will nearly always have these.
What will you learn?
Lists and tuples have a number of significant features that you'll learn about. In this course, you'll understand the definitions and applications of these terms. By the time you're done, you'll know when and how to employ different Python object kinds.
What are lists?
In other words, Lists are similar t ...
