Python is a simple yet powerful programming language. It is the perfect language to start programming with, as it is easy to learn and no other language can match its simplicity. Moreover, Python is also an excellent choice for large-scale projects. It enables the development of desktop apps, mobile apps, web applications/sites, and even games. Python is preferred by machine learning and data scientists, making it a top choice in their toolkit. In simple terms, Python is known as “One Language for Everything!”
Major projects by companies like Google, YouTube, Disney, and Mozilla utilize Python. Nowadays, almost every project requires the use of machine learning. Prominent sites like Amazon, Facebook, and Google, among others, heavily rely on data. In the future, we will need to work with even more data. Python is an excellent language for working with data as it allows logic to be built upon the data to derive new insights. It’s a fantastic language for programming and software development. Many of us collaborate with other team members during programming and software development. We need to see and understand their code. Python code is easily readable and understandable. Apart from that, programmers often write code and share it for others to use, which we call libraries. For the same tasks, we can use existing libraries instead of starting from scratch. And thanks to Python’s organized structure, it becomes easier to read and understand the code.
List of Python programing:
Chapter 1 – basic idea:
- Why programming.
- The first Python program.
- Data types and variables.
- Python operators.
- List – list.
Chapter 2 – Input Output:
- Python input.
- File reading and writing.
Chapter 3 – Control Statements:
- if – else.
- While loop.
- For loop.
- Python – break & continue.
Chapter 4 – Functions:
- Function.
Chapter 5 – Classes and Objects:
- Classes and Objects.
Chapter 6 – Data Structures:
- List – list.
- Tuple.
- Dictionary.
- Set.
Chapter 7 – Strings:
- String – string.
Chapter 8 – Modules and Packages:
- Modules and Packages.
- String – string.
Chapter 9 – Databases:
- SQLite and Python.
Chapter 10 – Regular Expressions:
- Regular expressions.
Chapter 11 – Project:
- Graphical user interface app or software development Database app development using Python.