Python 101

Python 101, available at $64.99, has an average rating of 4.65, with 117 lectures, 10 quizzes, based on 1196 reviews, and has 24232 subscribers.

You will learn about Programming in Python with real confidence. Crystal clear understanding of all Python core concepts. Playing with Python Objects: Numbers, Strings, Booleans, Lists, Tuples, Sets and Dictionary objects. Writing Python functions, Iterators and generator functions. Manipulation of File Objects: Reading and Writing of Text and Binary Files. Creation of Python Classes and Objects and working with modules. Relational Database handling with Python using Sqlite3 Working with Arrays and multi dimensional arrays using NumPy module. Skill with Series and DataFrame Objects of Pandas module. This course is ideal for individuals who are Professional Programmers. or IT Team Leaders / Managers. or Web Developers. or Computer Hobbyists. or Database application developers. or High School & College Students. or Anyone who wants to learn programming. or A must language for all the computer professionals. It is particularly useful for Professional Programmers. or IT Team Leaders / Managers. or Web Developers. or Computer Hobbyists. or Database application developers. or High School & College Students. or Anyone who wants to learn programming. or A must language for all the computer professionals. .

Enroll now: Python 101

Summary

Title: Python 101

Price: $64.99

Average Rating: 4.65

Number of Lectures: 117

Number of Quizzes: 10

Number of Published Lectures: 113

Number of Published Quizzes: 10

Number of Curriculum Items: 127

Number of Published Curriculum Objects: 123

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Programming in Python with real confidence.

Crystal clear understanding of all Python core concepts.

Playing with Python Objects: Numbers, Strings, Booleans, Lists, Tuples, Sets and Dictionary objects.

Writing Python functions, Iterators and generator functions.

Manipulation of File Objects: Reading and Writing of Text and Binary Files.

Creation of Python Classes and Objects and working with modules.

Relational Database handling with Python using Sqlite3

Working with Arrays and multi dimensional arrays using NumPy module.

Skill with Series and DataFrame Objects of Pandas module.

Who Should Attend

Professional Programmers.

IT Team Leaders / Managers.

Web Developers.

Computer Hobbyists.

Database application developers.

High School & College Students.

Anyone who wants to learn programming.

A must language for all the computer professionals.

Target Audiences

Professional Programmers.

IT Team Leaders / Managers.

Web Developers.

Computer Hobbyists.

Database application developers.

High School & College Students.

Anyone who wants to learn programming.

A must language for all the computer professionals.

Learn Python Programming Today!

Last update: December 2019.

Python 101 is a comprehensive course covering all core concepts of Python starting from scratch. It also covers using Python with databases, multi-dimensional arrays with NumPy module and Series and DataFrames using the Pandas module.

All the lectures are taught with lots of practical examples using iPython notebooks. The course consists of over 110 lectures and 17 hours of video classes. All sections include downloadable practice code and quizzes.

The course is constantly updated with new topics.

This is an all-level course. Good for both fresh programmers and also to experienced programmers working with other languages.

Here are some important topics of this course:

Python and iPython Notebook installation.

Basics of Python Objects like Strings, Numbers, Booleans, Container Objects, Operators,    Operator precedence and associativity rules.

Conditionals & Loops.

String Objects.

List Objects

Tuples, Sets, and Dictionaries.

Functions, Iterators, and Generators.

Python Classes & Objects.

File Handling.

Modules

Exceptions Handling.

Database Programming with Python.

Regular Expressions.

Arrays with NumPy Module

Series and DataFrames with the Pandas module.

Quick Review.

The Course is available to you forever on Udemy. and you can learn at your own pace. one can easily complete the course in a week’s time, by spending a couple of hours a day.

Thank You.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Python 101 Course Introduction

Lecture 2: Installing Python on Mac

Lecture 3: Installing Python on Windows

Chapter 2: Python Basics

Lecture 1: Python Objects

Lecture 2: Numbers & Booleans

Lecture 3: Strings

Lecture 4: Container Objects

Lecture 5: Mutability of Objects

Lecture 6: Arithmetic Operators

Lecture 7: Bitwise Operators

Lecture 8: Comparison Operators

Lecture 9: Assignment Operators

Lecture 10: Operator Precedence & Associativity

Lecture 11: Python Basics Practice Code

Chapter 3: Conditionals & Loops

Lecture 1: if else Statement

Lecture 2: if elif else Statement

Lecture 3: while Loops

Lecture 4: for Loops

Lecture 5: break & continue Statements

Lecture 6: Range Function

Lecture 7: Conditionals & Loops Practice Code

Chapter 4: String Objects

Lecture 1: String Object Basics

Lecture 2: String Methods

Lecture 3: More String Methods

Lecture 4: Splitting and Joining Strings

Lecture 5: String Format Function

Lecture 6: String Objects Practice Code

Chapter 5: List Objects

Lecture 1: List Object Basics

Lecture 2: List Methods

Lecture 3: List as Stacks and Queues

Lecture 4: Some List Comprehensions

Lecture 5: List Objects Practice Code

Chapter 6: Tuples, Sets and Dictionaries

Lecture 1: Tuples

Lecture 2: Sets

Lecture 3: Dictionary Object Basics

Lecture 4: Dictionary Object Methods

Lecture 5: Dictionary View Objects

Lecture 6: Tuples, Sets and Dictionaries Practice Code

Chapter 7: Functions

Lecture 1: Functions Basics

Lecture 2: Parameters Passing

Lecture 3: More Parameters Passing

Lecture 4: Iterators

Lecture 5: Generator Functions

Lecture 6: Lambda Functions

Lecture 7: map(), reduce() and filter() functions

Lecture 8: Functions Practice Code

Lecture 9: Functions Mini Challenges

Lecture 10: Mini Challenges Solutions

Chapter 8: OOP Classes & Objects

Lecture 1: OOP Basic Concepts

Lecture 2: Creating Classes & Objects

Lecture 3: Inheritance

Lecture 4: Multiple Inheritance

Lecture 5: OOP Classes & Objects Practice Code

Chapter 9: Working with Files

Lecture 1: Working with Files

Lecture 2: Reading and Writing Files

Lecture 3: Buffered Read & Write

Lecture 4: Other File Methods

Lecture 5: Working With Files Practice Code

Chapter 10: Modules

Lecture 1: Using Standard Modules

Lecture 2: Creating New Modules

Lecture 3: Modules Practice Code

Chapter 11: Exceptions Handling

Lecture 1: Exceptions Handling with try-except

Lecture 2: Exceptions Handling Practice Code

Chapter 12: Database Programming

Lecture 1: Relational Database Basics

Lecture 2: Creating, Inserting and Retrieving Table Data

Lecture 3: Updating and Deleting Table Data

Lecture 4: Database Programming Practice Code

Chapter 13: Regular Expressions

Lecture 1: RE Module Methods Part1

Lecture 2: RE Module Methods Part2

Lecture 3: Writing REs: Repetitions ( Greedy & Non Greedy )

Lecture 4: Writing REs: Character Sets and Ranges

Lecture 5: Writing REs: Escape Codes, Anchoring & Flags

Lecture 6: Writing REs: Grouping & Named Groups

Lecture 7: Writing REs: A Practical Example Step by step.

Lecture 8: Regular Expressions Practice Code

Lecture 9: Instructors Request

Chapter 14: Arrays with NumPy Module

Instructors

Kris Yamarthy
Software Engineer ~ Passionate Teacher ~ 32,000+ Students

Rating Distribution

1 stars: 18 votes

2 stars: 23 votes

3 stars: 145 votes

4 stars: 435 votes

5 stars: 575 votes

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!