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Python for Any level : Learn Python through hands-on

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Python for Any level : Learn Python through hands-on, available at $19.99, has an average rating of 4.58, with 42 lectures, 46 quizzes, based on 6 reviews, and has 84 subscribers.

You will learn about 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 This course is ideal for individuals who are People who have no experience with python or any programming language or People who are interested in coding and Trending technologies or People who are curious about Datascience or People who want advanced skills in Python and upgrade existing skills or Students persuing Bachelor , BCom students, MCA students It is particularly useful for People who have no experience with python or any programming language or People who are interested in coding and Trending technologies or People who are curious about Datascience or People who want advanced skills in Python and upgrade existing skills or Students persuing Bachelor , BCom students, MCA students.

Enroll now: Python for Any level : Learn Python through hands-on

Summary

Title: Python for Any level : Learn Python through hands-on

Price: $19.99

Average Rating: 4.58

Number of Lectures: 42

Number of Quizzes: 46

Number of Published Lectures: 42

Number of Published Quizzes: 46

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 88

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will Learn

  • 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

Who Should Attend

  • 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
  • Students persuing Bachelor , BCom students, MCA students

Target Audiences

  • 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
  • Students persuing Bachelor , BCom students, MCA students

Anyone  want

Become a Python Programmer and learn most requested skills of 2021.

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

Extracting knowledge through a practical way

Get Started with Future Technologies like Data Science, Machine Learning, 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 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, Blockchain and huge companies use python like Google, 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.

Course Curriculum

Lecture 1: Introduction

Chapter 1: Setup Python and Jupyter Notebook

Lecture 1: Setup Python and Jupyter Notebook

Chapter 2: Variables,Data types and Input and Output statements

Lecture 1: Variables and Datatypes

Lecture 2: Input and Output statements

Lecture 3: Convert ipynb to py file

Lecture 4: Loops in Python

Chapter 3: Operators , Conditional , loop statements

Lecture 1: Operators in python

Lecture 2: Conditional Statements in Python

Chapter 4: Advanced DataTypes

Lecture 1: Arrays

Lecture 2: Lists

Lecture 3: Tuples

Lecture 4: Strings

Lecture 5: Dictionary in Python

Lecture 6: Sets

Lecture 7: Json in Python

Lecture 8: Programming Challenges

Chapter 5: Control Driven Statements

Lecture 1: Break, Continue , Pass

Chapter 6: Built-in functions and command Line Arguments

Lecture 1: Built-in Functions in Python

Lecture 2: Command Line Arguments

Chapter 7: Functions ,Lambda,List comprehension

Lecture 1: Functions,Lambda,List comprehension

Chapter 8: File Handling and Exception Handling

Lecture 1: Files and Exception Handling

Chapter 9: Collections And Itertools

Lecture 1: Collections in python

Lecture 2: Itertools in Python

Chapter 10: Decorator and Generators

Lecture 1: Decorator in python

Lecture 2: Generators

Chapter 11: Creating Own modules and packages

Lecture 1: Modules

Lecture 2: Packages

Chapter 12: Oops concepts in python

Lecture 1: Scope and Namespaces

Lecture 2: Object oriented programming

Chapter 13: Numpy , Pandas and Matplotlib

Lecture 1: Numpy

Lecture 2: Pandas

Lecture 3: Matplotlib

Chapter 14: Processing Html and Xml data

Lecture 1: Handling Html data in Python

Lecture 2: Handling Xml Data in python

Chapter 15: Socket Programming And Regular Expressions

Lecture 1: Socket Programming

Lecture 2: Regular Expressions

Chapter 16: Basics of Django Framework

Lecture 1: Django webframework using Python

Chapter 17: Web scraping using python

Lecture 1: Extracting Data from web And Make a Csv File

Chapter 18: Python with Databases

Lecture 1: MongoDb

Lecture 2: Sqlite3

Chapter 19: Image Processing using pillow

Lecture 1: How to manipulate Images

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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