Hey peeps! Welcome to the Engineering Projects where you are learning the basics of Python in detail. We are working a lot with the arrays as these are important concepts in most of the high-level programming languages till now, the numeric data was used in the arrays but for our practice, we are moving towards the next step where the focus will be on the string data type. The practice is done on the Jupyter notebook and every step is going to be explained well without skipping any concepts but to keep things easy, we are not emphasising unnecessary details and concepts. So, before going deep into the topic, have a look at the list of the contents that will be discussed in this lecture:
What are the strings?
How do we use the string in arrays?
What is the list?
How do we extract the ch ...
Welcome to the fourth lesson of this python course. Our previous session taught us how to utilize the print function in python, so we have a firm grasp of the terminology and the functions themselves. In this lesson, we'll cover a few more Python terms, such as:
Strings
Operators
Input function
Also, we'll build a simple program to print out an imagined dog so that we may better grasp how these concepts are employed. So, let's get started now.
Why do we need to understand these terms?
Programming is a lot like building a structure out of blocks. Even with just a few types of children's toy blocks and some time and imagination, you can build anything. Because we'll be utilizing these phrases all the time in programming, it's critical that you know what they mean and how to use th ...
Welcome back! This is the fifth lesson in our Python programming course. In the last chapter, we discussed how string data types are used in Python. In this tutorial, we’re going to discuss variables in python and the rules for naming them in Python. In addition, you'll learn the fundamentals of working with numbers and strings.
What are variables?
All programming languages use variables as a fundamental building block of their language. It is the allocation of memory that is dedicated to data storage and manipulation. Variables are program elements that keep track of data. The following is an example of a variable.
x = 100
It's called x in the diagram below, and it has a value of 100 in it. In this case, the variable name is x, and the data it c ...
Hello students! Welcome to the new tutorial on Python. We all know that Python is one of the most popular programming languages, and there are hundreds or thousands of developers that are earning a handsome amount with the help of this easy programming language. In the previous lecture, we studied the range in the sequence, and in the present class, our concern is having the command on the sets in Python. We know you are curious about the set's details, but before this, I want to share the list of topics that will be covered in this class.
What is a set in the Python programming language?
What are some properties that distinguish the set from other data types?
What is the mutable data type, and how is it related to the set?
Introduction of the Jupyter notebook.
Can we have duplicate ...
Welcome to the tenth lesson of our python course. In the previous tutorial, you learned about syntax errors in Python, and in this lesson, we will look at one more error notice that is given by Python when there is an error in your code. So, without further ado, let's get started.
Any time an exception is thrown in your code, Python shows you the stack trace. If you don't know what the traceback output is showing you, it can be a little overwhelming. Python's traceback, on the other hand, provides a goldmine of information that can assist you in figuring out why an exception was triggered in your code and fix it. It's essential to learn how to use Python traceback to become a better coder.
After completi ...
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 ...
Hey, peep! This is a connected tutorial from the previous one where we saw the detail of numeric data types. This time, we are moving forward with the other data types in Python. We are understanding all these concepts with the help of examples and practising the little but understandable codes in TensorFlow. Different types of operations are also performed on these data types so that you may have an idea of why we are differentiating all these data types and how we can categorize all of them into different groups. Keep in mind that all of these concepts are for deep learning, and we want to make sure that we will not face any problems in the complex work of deep learning; therefore, we are moving slowly and steadily in Python. So, have a look at the content you are learning in this ...
Welcome to chapter 6 of our python course. Previously, we introduced integers and saw how they may be combined with strings and stored in variables. Today, we'll take a closer look at the python number types and how they're stored in variables to see what actions are possible.
What you'll learn in this tutorial is how to:
Add, subtract, multiply, and divide numbers.
Work with modular.
Use exponents.
Use expressions.
Use a predetermined number of decimal places to round numbers
Use strings to format and show numeric data.
With this in mind, let`s start.
How are integers created?
Integers can be created by simply inputting a number. For example, the tutorial variable is assigned the integer 6 in the following way:
>>>Tutori ...
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 peeps! Welcome to another tutorial on data types in Python. Our purpose in Python education is to get a grip on the basic concepts so that we may work on deep learning easily. In the previous lecture, we read a lot about lists as we are working on the subtypes of the sequence data type. In the present lecture, you are going to understand more types of sequences. If you know the list well, this lecture will be a piece of cake for you. We will start the introductions in just a bit, but before that, there must be a quick review of the topics that you are going to understand:
How do you introduce the tuples in Python?
What are some important characteristics of a tuple that must be kept in mind when we are dealing with it?
How can you practically perform the tuples in TensorFlow?
How do ...
