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 ...
Hello Engineers! Hope you all are doing great. In today's tutorial, I am giving you a detailed lecture on Python programming language. As I am writing this tutorial for beginners, that's why I will discuss each & everything in detail, so it's going to be a very lengthy tutorial and I have divided it in parts.
We will start from basic concepts in Python and will slowly move towards advanced concepts. It's going to be a quite long bumpy ride but I will try my best to make it as smooth as I can. So, let's get started with basic Introduction to Python Language:
Introduction to python
Python is a multi-purpose, object-oriented High-Level Programming language, with applications in multiple areas, including scripting, machine learning, data scienc ...
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 ...
This is the next lesson in our Python course. Previously, we looked at an overview of the different data types in python such as dictionaries, Boolean and sets. This tutorial will focus on Python sets to get a deeper understanding of this data type, so let's get started. During your schooling, there is a good chance you learned about sets and set theory. Venn diagrams may even be familiar to you:
Don't worry if you don't recognize this! You should still be able to access this tutorial without any problems. Rigidly defining a set in mathematics can be both abstract and difficult to understand. A set is thought of as a well-defined group of unique objects, which are sometimes called "elements."
Python's built-in set type facilitates the grouping of ...
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 ...
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 ...
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 ...
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 ...
Welcome to the next tutorial of our python course. We learned about python numbers in the last tutorial, and in this tutorial, Data types in Python include, dictionaries, sets, and Boolean, among others. We'll give a quick overview of the above data types in this section but later in this course, we'll go over each of them in-depth.
Introduction
In the Python programming language, data types are a necessary concept. Python assigns a data type to each value. Data Types are used to classify data objects or to assign a value to a data category. It aids in comprehending the many operations that can be applied to a value.
Python considers everything to be an object. Classes are represented by data types in Python. Variables are the names given to the ...
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 ...
