Mastering Intermediate Python: Dive Deeper into the Language
- Description
- Curriculum
- FAQ
- Reviews
-
Ready to take your Python programming skills to the next level? Look no further than our Intermediate Python Course. Designed for beginners eager to take the next step. This comprehensive course will propel you forward in the world of programming. empower you with the knowledge and skills needed to tackle more complex projects and challenges.
-
Dive deep into advanced topics like object-oriented programming(OOP), exceptions, generators ,closures, lambda function, modules, list comprehensions and students will also learn about reading and writing to files and more. With hands-on exercises and real-world examples, you’ll gain the confidence to write efficient, elegant Python code like a pro. Don’t miss out on this opportunity to level up your programming game, and unlock endless possibilities with Python! Enroll now!
-
The intermediate course in Python programming language focuses on building on the fundamentals of the language and introducing more advanced topics. Students who complete this course will have a solid understanding of the language and will be able to create more complex programs and applications. This course is recommended for individuals with some prior experience with Python or programming in general.
-
I as you instructor will guide you through practical exercises and real-world projects, giving you the hands-on experience you need to become a proficient Python programmer with skills and knowledge
-
1
end & sep keywords -
2
Incorporate the end keyword within your string data type -
3
Separate a text with the sep keyword
-
4
n newline character
-
5
Solve the puzzle by using the new line character
-
6
and, or statements
-
7
Guess the correct answer
-
8
3. float data type ,shortcut operator &,comments
-
9
input() function
-
10
Regular div, integar div & modulo operator
-
11
Simple calculator
-
12
Inner list : copy & independent copy
-
13
Slicing
-
14
Independence with little bit of slicing
-
15
We can apply the for loop on a string
-
16
What operators & methods we can and can't use on strings
-
17
capitalize(), center(), endswith(), find(), isalnum()
-
18
isalpha(), islower(), isspace(), isupper(), lower(), lstrip()
-
19
replace(), rfind(), rstrip()
-
20
upper(), title(), swapcase(), strip(), startswith(), split()
-
21
upper-case & lower-casa
-
22
Find a specific character and check if it's a string value
-
23
Back to original
-
24
split() part 2
-
25
join()
-
26
How to combine strings
-
27
Introduction to encoding
How computers and other devices use encoding such as ASCII to process strings as well as single characters
-
28
ASCII
-
29
UTF- 8
Outside of ASCII we also have another encoding format called UTF-8
-
30
ord(), chr functions
How to use both ord & chr functions to get value represented in encoding
-
31
Find the correct representation
-
32
min(), max(), list(), index(), count()
-
33
How many ?
-
44
Introduction to modules & packages
-
45
import keyword
How to access a module using the import keyword
-
46
from, as keywords
Different ways we can access a module and import its properties by using the from, as keywords
-
47
randrange(), choice()
In this lesson you'll learn how to access the properties of a module and utilize them
-
48
dir() function
How and why dir() function is used in python
-
49
platform module
-
50
How to import a module and utilize its contents
-
51
path variable
Learn how to python conducts a search for a module, and how you can modify the path variable, so when import instruction is placed inside your code python can directly search for the module you would like to import, and not skip it
-
52
How to create a module
-
53
Package
Introduction to a package, how to access a package, __init__.py file
-
54
Introduction to exceptions
-
55
List of exceptions
Exceptions you might encounter during your programming career in python programming language, their location & their task
-
56
Practical example of an exception
-
57
try, except block
How to handle a raised exception
-
58
General exception vs specific exception
-
59
else block
How to incorporate the else block in try & except block
-
60
2 except blocks
We can use 2 except blocks to handle more than one exception if we are not exactly sure what exception to expect from the code
-
61
finally
In this lesson you will be introduced to a keyword called finally , and you will learn how to incorporate it along with the try, except block
-
62
Exception is a class
In this lesson you will learn how to use the 'as' keyword in order to catch an exception as an object to access its properties
-
63
args property
You'll learn about the args property which is apart of BaseExveption, and how we can access this specific property
-
64
raise instruction
-
65
Empty raise instruction
How can we use the raise instruction without placing exception name next to it
Also how we can distribute the error handing duties
-
66
assert
-
67
Prevent python from terminating your code
-
68
Handle more than 1 exception
