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Python for any level : Master Python Through Practically

person icon Upputuri Nagababu

4.6

Python for any level : Master Python Through Practically

Python is a scripting and high level language for Trending technologies like DS, AI and Django, You learn these tech through hands-on.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Upputuri Nagababu

English [CC]

category icon Development ,Programming Languages,Python

Lectures -65

Resources -32

Duration -20 hours

Lifetime Access

4.6

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Course Description

 Anyone wants

 Become a Python Programmer and learn the most requested skills of 2022.

 Build the programming skills to get python Programming Jobs and Python-used technologies.

 Extracting knowledge in a practical way

 Get Started with Future Technologies like Data Science, Machine Learning, and Artificial Intelligence. This course will be helpful to you.

 Fresher in programming you will be able to get confident coding skills.

Just learn python for my currently working job and  I am interested in programming.  is course is a prerequisite of Data Science.

The aim of this course is a complete beginner to an expert who has never had coding skills before, as well as an existing programmer who wants to add new skills to existing skills and career options by learning python.

In fact, Python is most popular because trending technologies are used in Python like Data Science, Machine Learning, AI, IoT, and Blockchain and huge companies use python like Google, and Amazon for recommending their products, etc.

All companies offer high-paying jobs related to python technologies. You need expert-level knowledge, that's what you will gain through this course.

By the end of this course, you will be confident in coding and python before going to Trending Technologies.

I am good at coding. I will explain all concepts in a simple and easy way anyone can understand.

Does this course give you core python skills?

Exactly, there are more opportunities for Python developers. All of them require a good understanding of Python, and that’s what you will learn in this course.

Who this course is for:

  • People who have no experience with python or any programming language
  • People who are interested in coding and Trending technologies
  • People who are curious about Datascience
  • People who want advanced skills in Python and upgrade existing skills

Goals

  • Learn to use python for expert level, learning efficiently python 3

  • Learn how to convert jupyter notebook file(ipynb) to python file(py)

  • Understand how to use idle,jupyter notebook,PyCharm

  • Understand how to write own programming logic

  • Learn python collections , itertools

  • Understand how to use Decorator and Generators

  • Learn object oriented programming system with classes

  • Understand how to create own Modules and Packages

  • Learn to use advanced topics for Datascience like numpy,pandas,matplotlib

  • Learn Socket programming in python and Regular Expressions

  • Learn Image manipulation in python

  • Learn Django Framework

  • Understand how to extracting text from the websites using WebScraping

  • Learn python with databases such as MongoDb , Sqlite3

  • Understand how to publish own packages into Pypi

Prerequisites

  • If you have knowledge in any programming , that's great.

  • If you have no coding skills i will teach you how to get it into python

Python for any level : Master Python Through Practically

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

1 Lectures
  • play icon Course overview 05:57 05:57

Setup Python and Jupyter Notebook

2 Lectures
Tutorialspoint

High Level - Assembly - Machine Language

1 Lectures
Tutorialspoint

Basic Data types & Input and Output statements

4 Lectures
Tutorialspoint

Convert Jupyter notebook to Python file using CLI

1 Lectures
Tutorialspoint

Operators in Python

1 Lectures
Tutorialspoint

Decision Making Statements

1 Lectures
Tutorialspoint

Control Statements

4 Lectures
Tutorialspoint

Advanced Datatypes

8 Lectures
Tutorialspoint

Built-in functions

1 Lectures
Tutorialspoint

Command Line Arguments

1 Lectures
Tutorialspoint

Functions, lambda and List comprehension

2 Lectures
Tutorialspoint

File Handling and Exception Handling

2 Lectures
Tutorialspoint

Collections

1 Lectures
Tutorialspoint

Itertools

1 Lectures
Tutorialspoint

Generators and Decorators

2 Lectures
Tutorialspoint

Creating Own modules and packages

4 Lectures
Tutorialspoint

OOPS concepts in python

4 Lectures
Tutorialspoint

NumPy

1 Lectures
Tutorialspoint

Pandas

2 Lectures
Tutorialspoint

Matplotlib

2 Lectures
Tutorialspoint

Processing Html and Xml data

2 Lectures
Tutorialspoint

Network Programming in Python

2 Lectures
Tutorialspoint

Regular Expressions

3 Lectures
Tutorialspoint

Basics of Django Framework

3 Lectures
Tutorialspoint

Web scraping using Python

2 Lectures
Tutorialspoint

Databases with Python

3 Lectures
Tutorialspoint

Image Processing using pillow

1 Lectures
Tutorialspoint

Publish packages into PYPI

3 Lectures
Tutorialspoint

Instructor Details

Upputuri Nagababu

Upputuri Nagababu

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