Python for beginners: Learn in an hour
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Python for beginners: Learn in an hour

Learn python programming in just an hour through easy-to-follow lectures and simple examples.
4.3 (22 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,064 students enrolled
Created by Nisha Kiran
Last updated 12/2015
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • By the end of this course, you will be able to read and write Python modules and programs, and you will be ready to learn more about various Python library modules.
View Curriculum
Requirements
  • Eclipse
  • Python 3.4 interpreter
Description

Python is a widely used high-level programming language. It is a programming language used widely in web development as well as analytics. This course is meant for beginner/intermediate students.

In this course, you will learn all about python programming starting from writing your first python program. The course is structured so that students learn through easy to follow examples.

If you are new to python programming or if you need to just brush up concepts, this is the course for you. No need to read pages of documentation when you can learn all about this programming language in just an hour through short and easy-to-follow lectures.

Who is the target audience?
  • This course is intended for beginner/intermediate python programmers. Knowledge of some other programming language should help a student learn this language faster.
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Curriculum For This Course
26 Lectures
01:10:27
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Setup
1 Lecture 02:18

Here we cover the steps to install PyDev plugin for Eclipse and then write our first "Hello World" python program.

Preview 02:18
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Variables
1 Lecture 02:47

Variables act as "storage locations" for data in a program. Here we look at how to define variables and also cover concatenation of string variables.

Defining variables and using strings
02:47
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Input
2 Lectures 04:59

One can interact with a user by taking input from the user. One of the ways to take input from the user is to use the input() function in python.

Taking input from user
01:30

Another way to take input from the user is by reading data from a file. Data processing can be done in the program which can later be written back into a file. We look at how to read and write data from and to a file.

Reading and writing files
03:29
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Functions
3 Lectures 08:04

A function is a group of statements that together perform a task. In this module, we learn how to define functions and call these functions.

Defining functions
02:41

In the last lecture, we learnt how we can define functions. Here we learn how to define functions which accept optional functional arguments.

Optional function arguments
03:49

Lambda expressions are used to create anonymous functions. We cover the syntax and semantics of using lambda expressions.

Preview 01:34
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Control flows
2 Lectures 06:05

The if-else statement is the most basic of all control flow statements. It tells the program to execute a certain section of code only if a particular test evaluates to true. If the test evaluates to false, control jumps to the elif/else section of code. We look at an example to understand how if-else constructs work in python.

Decision making using if-else constructs
02:46

We look at examples to learn how break, continue statements control the flow of the program.

break, continue and pass statements
03:19
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Loops
2 Lectures 02:34

for loops is one of the ways to loop over iterable data structures. In this module, we will look at an example and use for loops to loop over the list data structure.

for loops
01:20

while loops is another way to loop over iterable data structure. We use the example from the last tutorial to loop over lists using while loops.

while loops
01:14
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Data Structures
6 Lectures 23:21

List is a data structure used to group together values. Here we cover the how to create lists and also look at list methods.

Preview 07:06

Dictionaries are important data structures in python. It is an associative array with key-value pairs where each key is unique. Here we look at how to create dictionaries and access values in dictionary data structure.

Dictionaries
05:21

Stacks are last-in first-out data structures and queues are first-in first-out data structures. Lists can be used to implement both stacks and queues.

Stacks and Queues
02:42

List comprehensions are a concise way to create lists. We cover the syntax and semantics of using list comprehensions to create new lists.

List comprehensions
03:11

Tuples and sets are other important data structures in python programming. Here we cover how to create tuples and sets and what things we can accomplish using these data structures.

Tuples and sets
03:00

enumerate() and zip() functions help in looping over iterable data structures like list.

Looping techniques
02:01
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Classes
3 Lectures 09:15

In this module, we look at how to define classes and create objects of defined classes.

Classes and objects
03:35

Inheritance is used to indicate that one class will get most or all of its features from parent class. We work through an example to understand how inheritance works in python.

Inheritance
04:32

We look at the syntax to declare private variables and methods in this module.

Private variables and methods
01:08
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Exceptions
1 Lecture 01:37

Errors detected during execution are called exceptions. We learn how to handle exceptions using the try except block in python.

try except blocks
01:37
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Iterators and Generators
2 Lectures 04:15

In this module, we will look at how to create iterators for iterable objects in python.

Creating iterators
02:07

Generators are tools for creating iterators. We go over an example to learn how to use generator expressions.

Creating generators
02:08
1 More Section
About the Instructor
Nisha Kiran
4.4 Average rating
86 Reviews
2,966 Students
6 Courses
Instructor

Nisha has been teaching since her grad school years as a Masters student in Computer Science where she worked as a teaching assistant for numerous courses in programming. Currently, she works in the Elearning industry and also helps students with programming problems. Nisha has worked as a software developer for various firms prior to teaching and understands how important it is to have a good grasp over programming fundamentals.

During her grad school, she has gained experience in teaching and how to effectively communicate a concept to someone new to programming. Nisha has worked with numerous students ranging from beginner to advanced and understands the needs of both kinds of audience.