Python3: From Beginner to Pro

BY
Udemy

Familiarize yourself with Python3 from scratch through the Udemy-offered Python3: From Beginner to Pro course.

Mode

Online

Fees

₹ 449 2699

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Python3: From Beginner to Pro Course will equip the learners with an in-depth knowledge of Python3, related concepts, and the application of Python3. The curriculum of the online course developed by Murthy Karra Ph.D. will provide the students with a solid foundation in the whole range of aspects of Python3 such as data types, variables, operators, Anaconda, Python, Jupyter Notebook, and many more.  The prospective candidates for Python3: From Beginner to Pro Online Course, offered by Udemy, are expected to possess fundamental skills in computer and logic to get the full benefit of the programme. 

Python3: From Beginner to Pro  Certification will explore Operators, Functions, Regular Expressions, Object-Oriented ProgrammingNumpy & Pandas data frames, etc. After the programme, Udemy will render the students a certificate of completion, access to course content both by mobile and TV, unlimited access to the learning materials, and many more. 

The highlights

  • Online course
  • Downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • English videos
  • 30-Day Money-Back Guarantee

Program offerings

  • 30 hours on-demand video
  • 14 downloadable resources
  • Full lifetime access
  • Access on mobile and tv
  • Certificate of completion
  • English videos

Course and certificate fees

Fees information
₹ 449  ₹2,699
certificate availability

Yes

certificate providing authority

Udemy

Who it is for

What you will learn

Knowledge of python

After the Python3: From Beginner to Pro Online Certification, the learners will have the opportunity to explore Flow Control, Data Analysis, Numpy nD arrays, Method Resolution Order(MRO), Error Handling, and a lot more. 

The syllabus

Introduction

  • Get the most value out of this course!
  • What will you learn?
  • Why Python?
  • How is Python run on a computer?
  • Introduction- Quiz

Anaconda, Python and Jupyter Notebook

  • Install Anaconda and Python on Windows 10
  • Install Anaconda and Python on MacOS
  • A survey of Jupyter Notebook
  • Installation-Quiz

DataTypes: Numbers and Boolean Types

  • Introduction to Python DataTypes
  • Integers, Floating Point Numbers and Arithmetic Operations
  • Complex Numbers, Conversions and Useful Functions
  • Arithmetic Precedence Rules in Python
  • Boolean Types
  • Numerical Types - Quiz
  • Variables: An Introduction
  • Variables: Naming Conventions, ID, Type and Input
  • Variables - Quiz

DataTypes: Strings

  • Strings: Introduction, creation and class
  • Strings: Escape Characters
  • Strings: Indexing and Immutability
  • Strings: Manipulation using functions
  • Strings: Slicing
  • Strings: Concatenation and Formatted Strings
  • Strings - Quiz

Assignments - I

  • Assignment 1 and Solution
  • Assignment 2 and Solution
  • Assignment 3 and Solution
  • Assignment 4 and Solution
  • Assignment 5 and Solution
  • Assignment 6 and Solution
  • Assignment 7 and Solution
  • Assignment 8 and Solution

DataTypes: Tuples and Lists

  • DataTypes: Sequence types
  • DataTypes: Tuple Creation and indexing
  • DataTypes: Tuple operations and slicing
  • DataTypes: Tuple Operations, continued
  • Quiz - Tuples
  • DataTypes: List Introduction, creation and indexing
  • DataTypes: List operations-I
  • DataTypes: List operations-II
  • DataTypes: List operations-III
  • Quiz - Lists

DataTypes: Sets and Dictionaries

  • DataTypes: Sets Creation and Basics
  • DataTypes: Set Properties and Operations
  • Sets - Quiz
  • DataTypes: Dictionary Creation and Basics
  • DataTypes: Dictionary Properties and Operations
  • Dictionary - Quiz

Data Types - Summary

  • DataTypes - Summary

Conversions between DataTypes

  • Conversions between DataTypes
  • Conversions - Quiz

Operators

  • Operators: Arithmetic, Assignment and Comparison
  • Operators: Logical
  • Operators: Identity, Membership and Bitwise
  • Operators - Quiz

Flow Control: Loops and Conditional Statements

  • Flow Control: for loops
  • Flow Control: if-elif-else branching
  • Flow Control: Ternary Expressions
  • Flow Control: while loops
  • Flow Control - Summary
  • Flow Control - Quiz

Assignments - II

  • Assignment 9 and Solution
  • Assignment 10 and Solution
  • Assignment 11 and Solution
  • Assignment 12 and Solution
  • Assignment 13 and Solution
  • Assignment 14 and Solution
  • Assignment 15 and Solution
  • Assignment 16 and Solution

Functions

  • Functions: Introduction, Basics and Objects
  • Functions: Parameters and Arguments
  • Functions: The return keyword
  • Functions
  • Functions: Positional and Keyword Arguments
  • Functions: Default parameters, Variable arguments and Variable keyword arguments
  • Functions
  • Functions: Local and Global Scope variables
  • Functions: More adventures in variable Scope
  • Functions: Lambda/Anonymous functions
  • Functions
  • Functions - Summary

Assignments - III

  • Assignment 17 and Solution
  • Assignment 18 and Solution
  • Assignment 19 and Solution
  • Assignment 20 and Solution
  • Assignment 21 and Solution
  • Assignment 22 and Solution
  • Assignment 23 and Solution

Advanced Functions

  • Enumerate and Map functions
  • Filter, Reduce and Zip functions
  • Closures: Preliminary Setup
  • Closures: Functions returning functions
  • Closures: Wrapping up
  • Decorators: Introduction and Creation
  • Decorators: Usage and Examples
  • List Comprehensions
  • Dictionary Comprehension
  • Quiz - Advanced Functions
  • Advanced Functions - Summary

Assignment - IV

  • Assignment 24 and Solution
  • Assignment 25 and Solution
  • Assignment 26 and Solution
  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution

Modules and Packages

  • Modules: Introduction and Basics
  • Modules: Alternative import methods and Lookup order
  • Packages: Basics and Import

Object Oriented Programming

  • OOP: Introduction
  • OOP: Basic class and instance
  • OOP: Instance Attributes
  • OOP: dunder init and the concept of Self
  • OOP: dunder init and other bound methods
  • OOP: Instance Bound Methods (cont.)
  • OOP: Class Attributes
  • OOP: Class Methods
  • OOP: Class Methods (cont.)
  • OOP: Static Methods and a recap
  • OOP: Protected and Private attributes
  • OOP: Properties, getters, setters and deleters
  • OOP: Properties using decorators
  • OOP: Read-only properties
  • OOP: Validating attributes using properties
  • OOP: Inheritance
  • OOP: Inheritance (cont.)
  • OOP: Inheritance and Overriding
  • OOP: Multiple and Multi-Level Inheritance
  • OOP: Method Resolution Order (MRO) Example in Multi-Level/Multiple inheritance
  • OOP - Summary
  • OOP - Quiz

Assignment - V

  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution
  • Assignment and Solution

Advanced Python Topics

  • Iterators
  • Generators Functions and Expressions
  • Generators: When are they needed?

Python Built-In modules

  • Built-in Modules: OS
  • OS Module in Linux/MacOS
  • OS Module in Windows
  • SYS Module
  • Random Module
  • MATH Module
  • Date Time Module
  • Logging Module

Error Handling, Exceptions and Unit Tests

  • Tracebacks and Exceptions: try-catch
  • Unit Tests

File Operations

  • Text File Operations
  • CSV File Operations
  • JSON File Operations

Regular Expressions (regex)

  • Regex: Introduction and Simple String matches
  • Regex: Character Class/Set matches
  • Regex: Special characters and alphanumeric matches
  • Regex: Positional matches and Word Boundaries
  • Regex: Pattern Repetitions with Quantifiers, Greedy and Lazy matches
  • Regex: Character Grouping, Capture Groups and Back References
  • Regex: The re module in Python

Web Development and Communication

  • Web: Basics of web communications
  • Web: Requests module, http request and response
  • Web: Requests using URL parameters and JSON response
  • Web: Requests using POST
  • Web: The Flask Micro Webserver
  • Web: Using Jinja2 templates basics
  • Web: Creating a Dynamic website
  • Web: Templates using the block content
  • Web: Forms and the POST method
  • Web: Looping in a web template
  • Web: Loops and HTML tables
  • Web: RDMS and Sqllite: A primer
  • Web: RDMS and Sqllite - Part 2
  • Web: Connecting Python and Sqllite

Project: Create a Student Webserver with a backend Database

  • Students Web Site: Search page
  • Students Web Site: Add Student page
  • Students Web Site: Edit Student page
  • Students Web Site: Edit Student page (cont.)
  • Students Web Site: Finishing up with course page, CSS
  • Web: Communication using SMS messages
  • Web: Summary

Data Analysis

  • Data Analysis Introduction - Numpy
  • Numpy - nD Arrays, Creation and Manipulation
  • Pandas: Basics, Series, Properties and Manipulation
  • Pandas: DataFrame, Creation and Basics
  • Pandas: DataFrame CSV, append and filtering rows and columns
  • Pandas: DataFrame Sorting and Complex Filtering
  • Pandas: Filling missing values and looping over a dataframe
  • Pandas: Groupby transformations
  • Pandas: Data Analysis of COVID-19 cases from daily reports
  • Visuals: Introduction and Matplotlib
  • Visuals: Analyzing Titanic Data using Matplotlib
  • Visuals: A simpler approach to plotting from Pandas
  • Visuals: Seaborn for easy plotting of complex graphs


Instructors

Mr Murthy Karra

Mr Murthy Karra
Chief Instructor and Course Developer
Freelancer

Other Bachelors

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books