Python Programming™ - Basics, Multithreading, OOP and NumPy
- Description
- Curriculum
- FAQ
- Reviews
Join us and become a Python Programmer, learn one of most requested skills of 2021!
This course is about the fundamental basics of Python programming language. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! You can learn about the hardest topics in programming: memory management, multithreading and object-oriented programming. So these are the topics you will learn about:
1.) Basics of Python
-
installing Python and the integrated development environment (IDE)
-
basic operations
-
conditional statements
-
loops
2.) Functions
-
what are functions in Python
-
positional and keyword arguments
-
return and yield
-
recursion
3.) Data Structures
-
how to measure the performance of data structures?
-
data structures introduction
-
lists
-
tuples
-
dictionaries and sets
4.) Object-Oriented Programing (OOP)
-
what is the advantages and disadvantages of OOP?
-
classes and objects
-
constructors
-
inheritance
-
polymorphism
5.) Memory Management
-
stack memory and heap memory
-
memory management in Python
6.) Handling Files (I/O)
-
read files and write files
7.) Exceptions
-
exceptions and errors
-
how to deal with exception
-
try-except-finally blocks
8.) Multithreading and Concurrent Programming
-
what are threads and processes?
-
synchronization
-
locks
-
deadlocks and livelocks
-
inter-thread communication
9.) Parallel Programming
-
multithreading and parallel programming
-
what is the Global Interpreter Lock (GIL)?
10.) Lambda Expressions
-
what is functional programming?
-
why to learn lambda expressions?
-
anonymous functions
-
filter
-
map
-
reduce
11.) NumPy
-
real array data structures in Python
-
lists and arrays comparison
-
NumPy fundamentals
You will get lifetime access to 110+ lectures plus slides and source codes for the lectures!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back.
So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
-
5
First steps in Python -
6
What are the basic data types?
-
7
Booleans
-
8
Strings
-
9
String slicing
-
10
Type casting
-
11
Operators
-
12
Conditional statements
-
13
How to use multiple conditions?
-
14
Exercise: conditional statements -
15
Solution: conditional statements
-
16
Logical operators
-
17
Loops - for loop
-
18
Loops - while loop
-
19
Exercise: calculating the average
-
20
Solution: calculating the average
-
21
What are nested loops?
-
22
Enumerate
-
23
Break and continue
-
24
Calculating Fibonacci-numbers
-
25
Exercise: Fibonacci-numbers
-
26
Solution: Fibonacci-numbers
-
27
Python Basics Quiz
-
28
What are functions?
-
29
Defining functions
-
30
Positional arguments and keyword arguments
-
31
Returning values
-
32
Returning multiple values
-
33
Exercise: functions
-
34
Solution: functions
-
35
Yield operator
-
36
Local and global variables
-
37
What are the most relevant built-in functions?
-
38
What is recursion?
-
39
Exercise: recursion
-
40
Solution: recursion
-
41
Local vs global variables
-
42
The __main__ function
-
43
Functions Quiz
-
44
How to measure the running time of algorithms?
-
45
Data structures introduction
-
46
What are array data structures I
-
47
What are array data structures II
-
48
Lists in Python
-
49
Lists in Python - advanced operations
-
50
Lists in Python - list comprehension
-
51
(!!!) Python lists and arrays
-
52
Exercise: list comprehension
-
53
Solution: list comprehension
-
54
Measuring running time of lists
-
55
What are tuples?
-
56
Mutability and immutability
-
57
What are linked list data structures?
-
58
Doubly linked list implementation in Python
-
59
Hashing and O(1) running time complexity
-
60
Dictionaries in Python
-
61
Sets in Python
-
62
Exercise: constructing dictionaries
-
63
Solution: constructing dictionaries
-
64
Sorting
-
65
Data Structures Quiz
-
66
What is object oriented programming (OOP)?
-
67
Class and objects basics
-
68
Using the constructor
-
69
Class variables and instance variables
-
70
Exercise: constructing classes
-
71
Solution: constructing classes
-
72
Private variables and name mangling
-
73
What is inheritance in OOP?
-
74
The super keyword
-
75
Function (method) override
-
76
What is polymorphism?
-
77
Polymorphism and abstraction example
-
78
Exercise: abstraction
-
79
Solution: abstraction
-
80
Modules
-
81
The __str__ function
-
82
Comparing objects - overriding functions
-
83
Object Oriented Programming Quiz
