Python from scratch onwards
This course is aimed at beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.
What you’ll learn
- you will get a detailed understanding about what is python, its applications, installation, relevance etc…
- python training will guide the vast space of database, python operators(bitwise, XOR).
- Even if its a beginner level you will get the great exposure of intermediate syllabus in python..
- you will learn conditional statement, control statement, collection data types with example..
- you will start to learn various functions include recursion, string, split, map ,filter, reduce in detail..
- also will learn various modules like math, random, bilgin etc…
- python online training will discuss various python concepts, packages, constructor, Inheritance, methods etc..
Course Content
- Introduction About Python –> 2 lectures • 19min.
- Installation of Python –> 2 lectures • 28min.
- Data Types –> 1 lecture • 9min.
- Python Operators –> 2 lectures • 18min.
- Bitwise Operators –> 1 lecture • 8min.
- XOR Operators –> 1 lecture • 5min.
- Conditional & Control Statement –> 2 lectures • 20min.
- Control Statement –> 3 lectures • 41min.
- Functions In Python –> 2 lectures • 26min.
- Collection Data Types –> 3 lectures • 38min.
- Functions Apply on a Set –> 1 lecture • 12min.
- Dictionary –> 1 lecture • 14min.
- Collection Data Types –> 1 lecture • 15min.
- Global Variables & Local Variables –> 1 lecture • 10min.
- LAMBDA Functions –> 1 lecture • 11min.
- List Comprehension –> 3 lectures • 28min.
- Reduce Functions Of Python –> 1 lecture • 11min.
- Arbitrary Arguments –> 1 lecture • 8min.
- Recursion Function –> 1 lecture • 11min.
- Basic String Function –> 1 lecture • 11min.
- Split Function –> 1 lecture • 9min.
- Modules In Python –> 2 lectures • 23min.
- Bilgin Modules In Python –> 1 lecture • 10min.
- Random Module –> 1 lecture • 9min.
- Math Module –> 1 lecture • 14min.
- Ordered Dictionary –> 1 lecture • 13min.
- Date Time –> 1 lecture • 4min.
- Package –> 2 lectures • 23min.
- Programming Concepts –> 1 lecture • 13min.
- OOPS Concepts In Python –> 1 lecture • 12min.
- Constructor of a Class –> 2 lectures • 33min.
- Inheritance –> 3 lectures • 45min.
- Multilevel Inheritance –> 6 lectures • 1hr 6min.
- Method Resolution Order –> 2 lectures • 28min.
- Abstract Classes –> 2 lectures • 26min.
- Different Types of Methods –> 4 lectures • 39min.
- Python Basic Complete Notes –> 1 lecture • 1min.
Requirements
- No programming experience needed. You will learn what you need to know..
- You just need a laptop or PC and a decent internet connection..
This course is aimed at beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.
After completing the python beginner level please have a look in to advanced training ‘Python for professionals with real time examples -2022’.
The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search.
And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high-paying jobs you need expert knowledge of Python, and that’s what you will get from this course.
By the end of the course, you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python course includes over 12 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.
By the end of this course, you will be fluently programming in Python and you’ll be so good at Python that you can get a job or use the language professionally.