This Python for beginners course will help you to become Zero to Hero. Learn Python Programming in Easy Way.

What you will learn

Introduction to Python and Python 3

Understand the basics: Data types, Loops, Conditional statements, Functions and Modules

Learn object oriented programming in Python

Know how to Read and Parse JSON and XML files

Learn how to make your own web-scraping tool using Python

Description

In this python course

We will start with Python Installation and a few basics of Python. Along the journey,
You will Learn.
1) All the Python data types and built-in methods in depth.
2) User-defined functions, different parameter passing techniques, and object-oriented Python programming concepts.
3) The must-know concepts in Python programming like list comprehension, map function, filter Function, generators, iterators, and itertools. 4) And also cover web scraping using beautifulSoup, multi-threading, and database access.

Once you reach here you can start the new journey to learn domain-specific python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras for machine learning. Django, flask for web development. PySpark for big data processing and many more…

By the end of the course, you’ll be able to apply in confidence for Python programming jobs with the right skills which you will learn in this course.

Here’s what a few students have told us about the Python programming course after going through it

This course is so recommended to anyone who wants to learn python. It clearly teaches you several important things even experts fail to deliver. It also teaches so many different ways and how to tackle some interview questions. Very thorough and easy to understand. The instructor is amazing.”- Aishwarya Baliga

“That was a very thorough and informative course. The instructor was very pleasant. Thank you!” – Olga Abrosimova

“It’s is explained very clearly, that a beginner can understand very well. Best teacher!!”- Rapaka Sujana

“One the best course out on internet to learn python programming right from basics to advanced” – Prithviraj Mane

“hi am newbee in Python. Still am in the early stages only. The tutor giving wonderful explanation and it’s sounds very clear and understandable.”- Mohamed Mohiadeen Rifay

And many more….


Why a Python programming course.?


Python is an interpreted, object-oriented, high-level programming language.
Python is an open-source programming language with more than 1 million libraries and more than 100,000 active contributors.
Python is also known for its simplicity as compared to other programming languages.

Artificial Intelligence or Web Development or IoT or Big Data Analysis or Cloud Application Development or Automation domain you can find n number of use cases for Python.

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.

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Python Career Opportunities –

  • Python developer: This is one of the most direct jobs that you can expect to land after acquiring this skill. What does a Python developer do? Here are a few key responsibilities:
  1. Build websites
  2. Resolve problems related to data analytics
  3. Write codes that are both reusable and efficient
  4. Optimize data algorithms
  5. Implement data protection and security
  • Data analyst: This is a very interesting opportunity. It is especially for those who like working with huge amounts of data and finding meaning in that data. This is again a very popular job role. There are many companies that are looking for people who can work with the large sets of data that they have access to. These companies are looking for people skilled in Python because Pandas, SciPy, and other Python libraries come in very handy in accomplishing this task. No wonder more and more companies are looking for data analysts with experience in python to fill open positions.
  • Product manager: Product managers have a very important role to play when it comes to helping businesses to understand the market and why building one product will be better than building another. They study the market, research for new features related to a particular product or category, and advocate the building of certain products with facts. Data is a very important part of the work they do. This is why most companies today are looking for product managers that are skilled in python.
  • Machine learning engineer: If you don’t already know, then let us tell you that the job postings for this position have increased by more than 330% in the last couple of years. If you are skilled in python, you will be given preference over other candidates. A machine learning engineer builds and trains machines, programs, and other computer-based systems to apply their learned knowledge for making predictions. Python’s ability to work with data automation and algorithms makes it the ideal programming language that can be used in machine learning.

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Start your career as a python engineer and don’t worry this course comes with a 30-day money-back guarantee!
If you are not satisfied in any way, you’ll get your money back. ( I’m sure you will enjoy this Python programming course  )

Wish you the best for your Python programming journey.

Enroll now!! See you in class.


Happy learning!
Team Edyoda

English

Language

Content

Introduction & Basics

Why Python ?

How to install Python and Sublime text

Variable Declaration and Memory Allocation

Builtin Python Datatypes

Python Operators

Conditional Statements and Loops

Conditional Statements | if, elif, else

Iterating using For loop | Syntax

Iterating using For loop | Continue | Break | enumerate

Iterating using While Loop | Syntax

Python Assignment – 1 | Conditional and Looping Statements

Python Data Types – String, Lists, Tuple, Dictionaries


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Str Data Type | Indexing | Slicing | Striding – Closer look at python data types

Str Data Type | Built-in functions – Closer look at python data types

List Data Type | Indexing | Slicing | Append – Extend – Insert – Closer look at

List Data Type | Update and Delete Operations – Closer look at python data types

Tuple Data Type – Closer look at python data types

Dictionary Data Type | Storing and Accessing the data in dictionaries

Dictionary Data Type | Update and Delete Operations

Set Data Type | Add – Update – Delete operations

Working with Math and Random Modules | Math functions | Random Number Generator

Python Functions

Getting Started with User Defined Functions

Parameter Passing Techniques | Positional – Default – Keyword Parameters

Parameter Passing Techniques | Variable Length Positional and Keyword Parameters

Writing Recursive Functions

Python Modules and Packages

Creating Modules and Packages

Introduction to RE Module | Regx Meta-characters

RE Module | Groups

Functional Programming

List Comprehension – Dict Comprehension

Functional Programming | Map – Filter – Lambda

Function Iterators | Generator functions

Iterators and Itertools

File Operation | JSON, XML Parsing

Getting started with file operations

File Operations | Read – Write – Append

Parsing JSON files using Python

Parsing XML files using xmltodict

Object Oriented Programming

Introduction to Object Oriented Programming

Object Oriented Programming – Class Method and Static Method

Object Oriented Programming – Inheritance

Web Scraping and Database handling using Python

Web Scraping using BeautifulSoup

Executing Database Queries Using Python | sqlite3 Module

Python Decorators

Python Decorators

Python Quiz