Hey peeps! Welcome to an exciting tutorial on Python in which you will learn about the Python reverse list. We are on a series of deep learning phases where Python is under our observation. In the last tutorial, we saw the variables in Python and practised many codes in the TensorFlow. Today, we are interested to practice many interesting methods in an easy way. These are the built-in functions and you do not have to be an expert in the programming to perform them in TensorFlow. All you need is to read this tutorial and have the TensorFlow working fine. Before going deep into the topic, it is important to have a look at the list of content that you will learn today:
How do you define the python reverse list?
Why we should know about the python reverse list or keywords?
How do you practi ...
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 ...
Welcome to the fifteenth chapter of this python course. Python lists and tuples were studied extensively in the last session, and we learned how to manipulate the data contained in these types of structures. You've only experienced sequential execution up to this point, where each statement is performed sequentially in the order they appear in the code.
However, the real world is frequently more nuanced. Sometimes, a program must skip over certain statements, run a set of statements repetitively, or pick between other sets of statements to execute. This is called "conditional branching."
That's when control structures come into play, which controls the sequence in which statements in a program are executed.
What will you learn?
The if statement ...
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? ...
Hello learners! Welcome to the engineering projects where we are working on deep learning. In this series, we are at the part where Python is under our observation. In the last session, we saw the Python built-in functions and the practical implementation of some important pre-defined functions of Python. In the current lecture, you will learn about the fundamental concept of Python. It is not wrong to say that if you want to work in any high-level programming language, you have to understand its data types; otherwise, you will not be able to code complex or long programs using it. More details will be discussed in the next section, but before this, you should have a glance at the concepts you will learn in this tutorial.
What are the data types?
How are Python data types different from ...
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 ...
Hello friends, I hope you all are ding great. In today's tutorial, I am going to show you How to use Arithmetic Operators in Python. It's our fourth tutorial in Python series. Arithmetic operators are required in mathematical problem solving.
We will first have a look at the arithmetic operators and after that, we also discuss different builtin arithmetic functions in Python Math module. So, let's get started:
Arithmetic Operators in Python
Arithmetic operators ( +, -, *, /, ^ etc. ) are used to perform simple arithmetic operations in python.
So, let's open up your PyCharm and perform a simple task using these operators, as shown in below figure:
I used a single star for multiplication and a doub ...
Hi learners! Welcome to the next episode of learning the arrays using string data. We have been working with the arrays and in the previous lecture, we saw the interesting characteristics of the string arrays. In the present lecture, our target is to get knowledge about the built-in functions and we will take the strings in the array so that we may know about both of them together. String arrays are used in many officials uses and therefore, we want to use the built-in functions that every Python programmer must know. Here is the list of the concepts that will be polished in this lecture:
What are the built-in methods?
How do you differentiate between methods and functions in programming?
Give different examples to understand different built-in methods to be used in the same code.
How ...
Hey learners! Welcome to the following lecture on Python, where all the examples are practically explained with the help of the Jupyter notebook. We have been working with the data types for a long time, and now we know all the basics about them. There are certain concepts that are applicable to almost all sequences, but there are some rules for performing this function. Python has many concepts that are unique and simple, and if we talk about the slicing of the data type, other high-level languages such as C++ have the same concept, but Python gives the easiest way to do so. How we will work on different data types to check whether they support the slicing or not. In this way, we can revise the concept that we have been working on so far. Nevertheless, before that, you have to check the l ...
Hello students! Welcome to the next episode of NumPy, where we are working more on arrays in detail. NumPy is an important library for Python, and for concepts like integer arrays, it has many useful built-in functions that help programmers a lot. In the previous lecture, the installation and basic functions were discussed and this time, our focus is on the general operations and types of arrays that usually the programmers need during the coding. It is an interesting and basic lecture, and you will learn the following concepts in this lecture:
What are some important types of arrays?
Why are we using NumPy for arrays?
What are zero arrays?
What is the random array?
How can we use the ones array using NumPy?
Is it easy to perform the identity array in Numpy?
Practically perform the ...
