Python Programming Hands-on
Simple way of explaining Python programming practically
Ratings 4.23 / 5.00
What You Will Learn!
- Simple way to learn Python Programming and able to setup own environment and practise
- Able to learn installation, datatypes, Strings, Lists, Tuple, Dictionary, Sets, Functions, *Args, **Args, Reading & writing Files.
- Able to use python programming on Pycharm editor and able to debug and use pdp
- Able to write programs on OS module to list the files and folders in OS, able to create directories in Python
- Able to understand OOPs concepts like class, create objects, inheritance, Super keyword, Polymorphism, Access specifiers and Exception Handling
- Able to do Database operations on Python like connectivity with MySQL database, creating database, creating tables, inserting and fetching data into tables
Description
Python is a present language for trending technologies, such as Artificial Intelligence, Machine Learning, Block chain technology, and many applications related to Robotics.
I explained this course in a simple manner, with hands-on programming. Initially, I discussed installation, and then Basic concepts of Python programming.
In this course, I worked with datatypes such as Strings, Lists, Tuple, Dictionaries, Sets, and Frozen Sets.
Also discussed Copy concepts in Python such as Shallow copy and Deep copy with examples.
In this course, I have given detailed explanations as well as example programs on Functions, and parameters such as *args, and **args.
Also, some example programs on File in different modes like read mode, write mode, and append mode.
And also I showed some examples using Pycharm software.
In this, I describe the OS module examples such as creating directories and files, listing files in folders, Showing the current working directory, changing the directory, etc.
I have given a detailed explanation of the OOPs module, covering all OOPs concepts with examples of classes, constructors, inheritance, polymorphism, Super keyword, Access specifiers, and exception-handling programs.
Finally, I showed information related to Database connectivity with Python. I explained the installation steps for MySQL connector, connecting the MySQL server. Also covered are examples for creating a database, creating a Table, inserting data into a table, and fetching the data from a table.
Overall, I have given a simple and clear explanation of hands-on programming for Python covering most of the topics in Python Programming.
Who Should Attend!
- All Engineering students also AI and Machine learning and future technology developers