Python introduction to programming

Python introduction to programming, available at $19.99, has an average rating of 4.45, with 103 lectures, based on 10 reviews, and has 78 subscribers.

You will learn about Python Programming Object oriented programming scalar, sequential and unordered types methods and functions loops code structure flow control creating and using modules and packages handling files and MySQL databases in the code coding This course is ideal for individuals who are beginner python developers or beginner developers or students or developers or people interested in learning programming or people who want to change their job or researchers or anyone interested It is particularly useful for beginner python developers or beginner developers or students or developers or people interested in learning programming or people who want to change their job or researchers or anyone interested.

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Summary

Title: Python introduction to programming

Price: $19.99

Average Rating: 4.45

Number of Lectures: 103

Number of Published Lectures: 103

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Python

Programming

Object oriented programming

scalar, sequential and unordered types

methods and functions

loops

code structure

flow control

creating and using modules and packages

handling files and MySQL databases in the code

coding

Who Should Attend

beginner python developers

beginner developers

students

developers

people interested in learning programming

people who want to change their job

researchers

anyone interested

Target Audiences

beginner python developers

beginner developers

students

developers

people interested in learning programming

people who want to change their job

researchers

anyone interested

This course is designed for people who have not had contact with the Python language and want to join the programming world. The course structure helps you to understand everything you need to know to get started. We will discuss both the theory and practice (code that we will create ourselves). There will be also many tips and hints to help you understand the discussed concepts. The course starts with an introduction to the Python language (the differences between versions 2 and 3, how to use Python from the console and Jupyter Notebook or conventions and naming). On the first programming classes, you’ll learn the scalars and sequential types of Python objects, along with their methods, arithmetic, indexing rules, and the operations you can perform on them. We will close the topic on object types with dictionaries and sets. Next large block of material will be the flow control, that is logical instructions, where you will learn the rules for creating and operating on conditions, loops, comprehension expressions or matrices (creating loops in other loops). The next will be the topic of functions. You will learn to write your own code blocks that execute series of instructions, how to get from and return values to the user, what is polymorphism, recursion or decorators. The whole block will end with object-oriented programming, its principles and method of working with classes, their fields and methods. In the last section of the course you will find the topics that can help you with your own further projects, that is: how to handle text and CSV files, how to combine Python code with a database written in MySQL, or how to create and use a regular expression. At the beginning we will keep the code simple, but with time as your knowledge will increase, the code will grow. For each material, you will also find a text notes that will summarize the discussed knowledge. In addition, in each section you will find the exercises (on different difficulty levels) that will allow you to test your new skills and knowledge. If you want to learn programming in Python check the curriculum of the course and preview materials. And see you soon inside the course!

Course Curriculum

Chapter 1: 1. Introduction

Lecture 1: One monitor tip

Lecture 2: Resources

Lecture 3: Meet your instructor

Lecture 4: 1.1. Use this setting when needed

Lecture 5: 1.1. About Python

Lecture 6: 1.2. Installing Python

Lecture 7: 1.3. Python 2 or 3?

Lecture 8: 1.4. On installation of Anaconda

Lecture 9: 1.5. Navigation in Jupyter Notebook, markers and comments

Lecture 10: 1.6. Conventions and naming

Lecture 11: 1.7. Structures in Python

Lecture 12: 1.8. Exercise #1*

Lecture 13: 1.8. Exercise #2*

Lecture 14: 1.8. Exercise #3*

Chapter 2: 2. Scalar types

Lecture 1: 2. Scalar types

Lecture 2: 2.1. Empty objects

Lecture 3: 2.2. Numbers

Lecture 4: 2.3. Arithmetics

Lecture 5: 2.4. Type transformation

Lecture 6: 2.4. Exercise #4**

Lecture 7: 2.5. Built-in functions

Lecture 8: 2.6. Fields and methods

Lecture 9: 2.7. A problem with float

Lecture 10: 2.8. Logical types and operators

Lecture 11: 2.9. Characters

Lecture 12: 2.10. Exercise #5*

Lecture 13: 2.10. Exercise #6**

Lecture 14: 2.10. Exercise #7**

Chapter 3: 3. Sequential types

Lecture 1: 3. Sequential types

Lecture 2: 3.1. Lists and tuples

Lecture 3: 3.2. Ranges

Lecture 4: 3.3. Indexing

Lecture 5: 3.4. Adding and removing the content

Lecture 6: 3.5. Copying

Lecture 7: 3.6. Methods and functions of sequential objects (part.1: strings)

Lecture 8: 3.7. Methods and functions of sequential objects (part.2: lists)

Lecture 9: 3.8. Identifiers tuples

Lecture 10: 3.9. Exercise #8**

Lecture 11: 3.9. Exercise #9**

Lecture 12: 3.9. Exercise 10**

Chapter 4: 4. Unordered objects

Lecture 1: 4.1. Sets

Lecture 2: 4.2. Dictionaries

Lecture 3: 4.3. Exercise #11*

Lecture 4: 4.3. Exercise #12*

Chapter 5: 5. Flow control

Lecture 1: 5. Flow control

Lecture 2: 5.1. Conditional statements

Lecture 3: 5.2. Iterators

Lecture 4: 5.3. For loop

Lecture 5: 5.4. While loop

Lecture 6: 5.5. Comprehension and generator expressions

Lecture 7: 5.6. Input and output

Lecture 8: 5.7. Pass, break, continue

Lecture 9: 5.8. Errors and exceptions

Lecture 10: 5.9. Loops in loops on the example of matrices

Lecture 11: 5.10. Exercise #13**

Lecture 12: 5.10. Exercise #14**

Lecture 13: 5.10. Exercise #15**

Lecture 14: 5.10. Exercise #16***

Lecture 15: 5.10. Exercise #17***

Lecture 16: 5.10. Exercise #18***

Lecture 17: 5.10. Exercise #19**

Lecture 18: 5.10. Exercise #20***

Lecture 19: 5.10. Exercise #21****

Chapter 6: 6. Functions

Lecture 1: 6. Functions

Lecture 2: 6.1. Documentation

Lecture 3: 6.2. Returning values and polymorphism

Lecture 4: 6.3. Anonymous functions and function factories

Lecture 5: 6.4. Arguments

Lecture 6: 6.5. Range of variables

Lecture 7: 6.6. Recursion and decorators

Lecture 8: 6.7. Exercise #22***

Lecture 9: 6.7. Exercise #23***

Lecture 10: 6.7. Exercise #24***

Lecture 11: 6.7. Exercise #25***

Lecture 12: 6.7. Exercise #26**

Lecture 13: 6.7. Exercise #27***

Lecture 14: 6.7. Exercise #28****

Lecture 15: 6.7. Exercise #29***

Lecture 16: 6.7. Exercise #30***

Lecture 17: 6.7. Exercise #31*****

Lecture 18: 6.7. Exercise #32******

Chapter 7: 7. Modules and packages

Lecture 1: 7.1. Importing modules

Lecture 2: 7.2. Sublime text

Lecture 3: 7.2. Creating own modules

Lecture 4: 7.3. Creating and using packages

Lecture 5: 7.4. Exercise #33*

Chapter 8: 8. Object-oriented programming

Lecture 1: 8. Object-oriented programming

Lecture 2: 8. Statement

Lecture 3: 8.1. Classes

Lecture 4: 8.2. Inheritance

Lecture 5: 8.3. Methods and fields

Lecture 6: 8.4. Encapsulation

Instructors

Krzysztof Raczynski
Research Professor

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 2 votes

5 stars: 7 votes

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