Python introduction to programming

Name: Python introduction to programming
Rating: 4.2 (10 reviews)

start your adventure with programming and learn Python by coding

Created byKrzysztof Raczynski

Last updated 1/2022

English

What you'll 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

Course content

9 sections • 103 lectures • 8h 26m total length

One monitor tip0:40
Resources0:30
Meet your instructor2:05
1.1. Use this setting when needed0:13
1.1. About Python4:30
1.2. Installing Python3:21
1.3. Python 2 or 3?4:09
1.4. On installation of Anaconda3:59
1.5. Navigation in Jupyter Notebook, markers and comments23:29
Explore how to use Jupyter Notebook for interactive code and notes, navigate edit and command modes, create code and markdown cells, add comments, and leverage shortcuts and formatting.
1.6. Conventions and naming6:33
1.7. Structures in Python3:07
1.8. Exercise #1*
1.8. Exercise #2*
1.8. Exercise #3*

2. Scalar types0:20
2.1. Empty objects1:40
Show how assigning None to a variable creates an empty object in Python, and verify its empty state by calling type on the variable.
2.2. Numbers6:53
Explore Python int, float, and complex numbers, use type() checks, and practice binary, octal, and hex literals (0b, 0o, 0x) with floating point precision and decimal module.
2.3. Arithmetics3:32
2.4. Type transformation2:34
2.4. Exercise #4**
2.5. Built-in functions5:45
explore Python's built-in functions, including abs for absolute value, round for decimal precision, min and max for extrema, and ord for ascii codes.
2.6. Fields and methods4:43
2.7. A problem with float2:09
2.8. Logical types and operators11:00
2.9. Characters8:36
2.10. Exercise #5*
2.10. Exercise #6**
2.10. Exercise #7**

3. Sequential types0:47
3.1. Lists and tuples6:58
3.2. Ranges2:12
3.3. Indexing10:52
3.4. Adding and removing the content12:30
3.5. Copying7:46
3.6. Methods and functions of sequential objects (part.1: strings)15:07
3.7. Methods and functions of sequential objects (part.2: lists)4:59
Explore methods and functions for lists in python, including sorting with sorted versus in-place sort, reversing, and lexicographic comparisons; compute sums, locate indices, and count occurrences, noting tuple differences.
3.8. Identifiers tuples3:38
3.9. Exercise #8**
3.9. Exercise #9**0:06
3.9. Exercise 10**

5. Flow control1:21
5.1. Conditional statements10:08
5.2. Iterators5:29
Create and move through sequence elements with iterators using next, handle the stop iteration exception when exhausted, and use reversed, enumerate, and zip to index and pair items.
5.3. For loop15:40
Learn to use for loops in Python to iterate over strings, lists, and dictionaries, using range and enumerate, print elements, and avoid infinite loops.
5.4. While loop4:02
Learn how the Python while loop works, including infinite loops, using a counter variable, evaluating a < 15, updating the value each iteration, and avoiding endless execution.
5.5. Comprehension and generator expressions16:34
5.6. Input and output7:53
Learn to read user input with input, convert to integers, and print formatted output using both string formatting and percent notation in Python.
5.7. Pass, break, continue4:32
5.8. Errors and exceptions14:27
5.9. Loops in loops on the example of matrices15:17
5.10. Exercise #13**
5.10. Exercise #14**
5.10. Exercise #15**0:09
5.10. Exercise #16***
5.10. Exercise #17***
5.10. Exercise #18***
5.10. Exercise #19**
5.10. Exercise #20***
5.10. Exercise #21****

6. Functions1:55
Learn to create and use your own Python functions to reuse code, handle inputs, and control flow with loops, conditions, decorators, and polymorphism, paving the way for project work.
6.1. Documentation6:29
Learn how functions organize instructions into reusable blocks, executable repeatedly or in other programs, and how doc strings, placed at the beginning, describe the operation, arguments, and return or print.
6.2. Returning values and polymorphism10:10
6.3. Anonymous functions and function factories12:30
6.4. Arguments15:51
6.5. Range of variables6:50
6.6. Recursion and decorators14:55
6.7. Exercise #22***
6.7. Exercise #23***0:04
6.7. Exercise #24***
6.7. Exercise #25***0:07
6.7. Exercise #26**
6.7. Exercise #27***
6.7. Exercise #28****
6.7. Exercise #29***0:05
6.7. Exercise #30***
6.7. Exercise #31*****
6.7. Exercise #32******

9. Other topics2:14
9.1. Errors and exceptions10:54
9.2. Handling text files20:47
9.3. Regular expressions11:23
9.4. Code integration with MySQL database8:40
Learn to connect Python to a MySchool database using the connector, install in an anaconda environment, and run queries to explore books and ratings.
9.5. Brifely about CSV and JSON12:20
Thank you0:22
Finish your Python introduction to programming by solving problems on your own, creating your own projects, and expanding your knowledge within the community.
The end note0:34
Learn more0:21

Requirements

computer with internet access

Description

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!

Who this course is for:

beginner python developers
beginner developers
students
developers
people interested in learning programming
people who want to change their job
researchers
anyone interested

Python introduction to programming

What you'll learn

Explore related topics

Course content

1. Introduction14 lectures • 53min

2. Scalar types14 lectures • 47min

3. Sequential types12 lectures • 1hr 5min

4. Unordered objects4 lectures • 19min

5. Flow control19 lectures • 1hr 36min

6. Functions18 lectures • 1hr 9min

7. Modules and packages5 lectures • 23min

8. Object-oriented programming8 lectures • 1hr 7min

9. Other topics9 lectures • 1hr 8min

Requirements

Description

Who this course is for: