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 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 ...
Welcome to chapter 9 of our python tutorial. In the previous chapter, we looked at frequent examples of invalid Python syntax and learned how to fix them. Up to this point, you are well aware of errors that may occur in your Python program and how you can solve them easily and quickly. Therefore, in this tutorial, we will look at a few more causes of syntax errors and zero-error divisions.
Mistaking Dictionary Syntax
As you learned before, omitting the comma from a dictionary element can result in a syntax error. In Python dictionaries, the equals symbol (=) is used instead of a colon to separate key and value pairs.
This error message is once again useless. In this case, the repeated line and caret come ...
Greetings Learners! Welcome to the new lecture on Python. Today we are moving towards an interesting and important concept. If you have come from a programming background, then you must know about the workings of loops. To make the repetition of the same sequence, we use loops. We are familiar with the sequences in detail as we have learned them in the previous lectures and have received the concept in the recent lecture. If you want to be a programmer, then you can not move forward without a solid base of loops; therefore, in this lecture, we will learn the concept of loops from scratch and then go on to a deep understanding of each loop in the next episodes. So have a look at the concepts that you will learn today.
What are the loops?
How do we understand the concept of loops from scra ...
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 ...
Welcome to the next lesson of our python programming class. In the last session, we looked at the use of If-else statements and created simple programs to demonstrate the concept. While loops are another type of conditional statement, and in this tutorial, we'll look at how they're used.
What will you learn?
In this article, you'll learn how to prematurely exit a while loop, a Python control structure for endless iteration. You will also learn how to write conditions in a single line to produce short and readable code.
Iteration in while loop
The term "iteration" refers to the practice of repeatedly running the same piece of code. A loop is a type of programming structure that implements iteration.
Bo ...
Hello! Welcome to the next lesson in this Python course. In the last session, we learned about python tracebacks and how to deal with them. A dictionary, like a list, is a collection of items, and we'll look at that in this tutorial as well.
What will you learn?
This tutorial introduces you to the fundamentals of dictionaries in Python and teaches you how to work with dictionary data. After reading this article, you should be able to tell when and how to utilize a dictionary as a data type.
Characteristics of Dictionaries and lists
Both can be changed (mutability).
A dynamic relationship exists between them. When needed, they're able to expand and contract.
Both are nestable. Another list can be ...
Hey, peps! Welcome to the new tutorial on the Jupyter notebook. As we are moving towards a higher level of Python, therefore, it is important to understand other ways of doing the same task. As we read in the previous lecture about 2D arrays, this time it is going to be done with the help of a famous library in Python. This time, you are going to learn different, engaging, and advanced-level concepts that not only help you deal with the 2D array but also the installation and working of the unique library of Python, which is NumPy. This lecture is going to be very useful and interesting, and therefore, we suggest you have a glance at all the goals of this lecture.
Getting the introduction to NumPy
Successfully installation of NumPy and knowing different methods for it
Using the arrays wi ...
Hello friends, I hope you all are doing great. This is the 7th lesson of our Python tutorial. We were introduced to Python numbers in the previous chapter and learned how they are utilized with expressions, so we have a good understanding of math operations.
We'll go over a couple more arithmetic functions and complex numbers in this lesson. I will try my best to keep it simple. Let's get started!
Python round function
You can work with numbers in Python using a few built-in functions. Three of the most common will be discussed in this section:
Rounding to a specific number of decimal places can be done with round().
abs(), which returns a number's absolute value.
pow(), which raises a number to a ...
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 ...
