Python for Beginners
Learn Python from scratch with this comprehensive Hands-On Python course. No prior programming knowledge required. Covers installation, syntax, data types, control constructs, functions, packages, modules, classes, and GUI programming with Tkinter. Includes case studies and Hands-On Project work. This course is perfect for beginners aspiring to become Python programmers. Gain a Professional Certificate and fast track your career in AI and Machine Learning. Also includes grooming sessions and practical projects on Python programming and Machine Learning algorithms. Prepare data, perform advanced analysis, and present results effectively. Ideal for beginners in the field of Data Science.
What you’ll learn
- Introduction to python
- History of Python
- Why python is so famous
- Internal & External IDLE
- Compiler & Interpreter
- Variable, Keywords
- Comments & Indentation
- Write your first program
- Data types, Input and output function
- Arithmetic operator, Relational Operator
- Assignment Operator
- Logical operator, Bitwise operator
- Membership Operator, Identity Operator
- Conditional statement & Loop
- Basics Defining function
- Function call Return statement
- Function with parameter and without parameter
- User define functions local and global variable
- Recursion, Anonymous (lambda) function
- Numeric Type & String
- Hexadecimal, Octal and Binary Notation Numeric type basics
- Complex Numbers, Type casting Numeric Functions
- Defining a string
- Different ways to create string
- Escape sequence, Raw string String methods
- String formatting Expressions
- Random number generation(Using Random Modules)
- Handson project: Game creation
- Defining & Creating list, Accessing list elements of list
- List methods, Functions used with list
- Matrix & Cube implementation
- List comprehension
- Defining & Creating a tuple
- Tuple Operation
- Tuple Methods, Functions used with tuple
- Dictionary & Set
- Accessing elements of dictionary Defining & Creating a dictionary
- Dictionary methods
- Dictionary Comprehension
- Defining & Creating set
- Set operations & methods
- Compares with all python data typeSet comprehension
- Module and Packages
- Defining module, Importing module
- Dir()& Sys module
- Defining and create package
- Practical Implementation
- Object Oriented Programming
- OOPS concepts Defining
- Class Creating object, Constructor
- Method vs function Self Parameter
- Instance method, class method & Static method
- Method Overriding
- List of objects Inheritance
- Use case
- Exception Handling
- Defining an exception & Default exception handler
- Exception handling techniques
- Detecting Exception
- Catching exceptions
- Raising exception
- Finally block
- GUI Programming with Tkinter
- Introduction to tkinter
- Creating a window Tkinter widgets Label
- Label, EntryBox, TextBox, Button Entry
- Messagebox List, Radio Button, CheckButton
- Creating Frame
- Case studies
Show moreShow less
This is the best Hands-On Python course. Learn from scratch. No need of any programming knowledge. The course includes thorough coverage of Installation, Python syntax, built in data types and control constructs. The course takes a practical approach to creating and organizing Python programs using functions, packages, modules and classes as part of Python’s object-oriented paradigm. This program used case studies and Hands-On Project work with all code files and other resources. This course also covers Python GUI Programming with Tkinter. One of best Python course for beginners. This Professional Certificate from Handson has a comprehensive course curriculum covering Statistics, Machine Learning algorithms, key Programming Languages and more – with a great detail via our interactive learning model so that you are comfortable with any kinds of questions asked in job-interview. Upon successfully completing this course, you will be able to fast track your career in the field of interest and it will help you to kick start into an exciting profession in AI and Machine Learning.This Data Science program includes both case study as well as grooming sessions. We cover critical topics on Python programming, Machine Learning algorithms, along with practical projects which helps in better understanding. This course deals with preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.
Who this course is for:
- Beginners who are aspiring to become a Python Programmer
There are no reviews yet.