Strings | Strings in Python | Methods | Complete Python 🐍 Python Programming 🐍

Veröffentlicht am: 28 Juli 2024
auf dem Kanal: Technical Ma’am

Strings | Strings in Python | Methods | Complete Python 🐍 Python Programming 🐍 #python

Introduction to Programming, Choosing Python, Setting up Python environment, Python IDEs,
Input/output, Comments, Variables, Data types, Typecasting
3 Operators in Python Arithmetic, Assignment, Comparison, Logical, Identity, Membership, Bitwise operators
4 Strings in Python Creating, Formatting, Indexing, Slicing, String methods5
5 Lists in Python Creating, Properties, Indexing, Slicing, Methods, Modifying lists
6 Tuples in Python Syntax, Properties, Indexing, Slicing, Methods
7 Sets in Python Syntax, Updating, Operations, Methods
8 Dictionaries in Python Syntax, Keys/values, Accessing, Methods
9 Python Conditional Statements if, if-else, if-elif-else
10 Loops in Python while, for, break, continue, pass, range
11 List and Dictionary Comprehensions Syntax, Uses
12 Functions in Python Creating, Calling, Arguments, Variables, Recursion
13 Anonymous Functions Lambda functions
14 Generators in Python Creating, Using generators
15 Modules in Python Creating, Importing, Built-in modules

Packages & Data Analysis Creating packages, NumPy, Pandas, Matplotlib
17 Exceptions & Error Handling Syntax errors, Logical errors, try/except/finally
18 Classes & Objects Creating, Attributes, Methods, Inheritance, Polymorphism
19 Date & Time date, time, datetime modules
20 Regex in Python re module, Common functions
21 Files in Python Opening, Reading, Writing, Closing files
22 Web Scraping BeautifulSoup, Scraping static & dynamic sites
23 Database Access MySQL, CRUD operations
24 Data Analysis NumPy, Pandas, Visualization
25 APIs in Python Public APIs, Accessing data
26 Python for Web Development Flask Framework, Routes, Templates

1. Python Introduction and Setting up the Environment

The first section of the course introduces learners to Python programming, including the process of downloading and setting up its environment, and Python IDEs. Plus, you will know where Python is mostly used and why it is gaining popularity in Data Science.

Subjects covered in introduction and setting up the Python environment:

Introduction to Programming
R or Python?
Why Python for Data Science?
Different job roles with Python
Different Python IDEs
Downloading and setting up the Python environment
2. Python Basic Syntax and Data Types

Once you have installed Python on PCs and Macs, you must know how to write a program. But before that, this course will introduce you to the basic syntax, input and output operations, comments, variables, data types, and typecasting in Python. While variables store data of multiple types, each type has a different function. You will learn each data type category and cast them from one type to another.

Subjects covered in basic syntax and data types in Python:

Python input and output operations.
Comments
Variables, rules for naming variables
Basic Data Types in Python
Typecasting in Python
3. Operators in Python

Operators in a programming language instruct the machine to perform a particular operation on variables and values. Python operators are of multiple types, and each defines a unique operation. For example, the arithmetic operator “+” instructs the interpreter to perform “addition”. In this part of the course, you will be introduced to each of these operators and will understand where to use them and how they function in an instruction.

Subjects covered in operators in Python:

Arithmetic operators
Assignment operators
Comparison operators
Logical operators
Identity operators
Membership operators
Bitwise operators

Strings in Python

Subjects covered in strings in Python:

Creating strings
String formatting
Indexing
Slicing
String methods
Lists

Subjects covered in lists in Python:

Creating lists
Properties of lists
List indexing
List slicing
List of lists
List methods
Adding, updating & removing elements from lists
6. Tuples

Subjects covered in tuples in Python:

Syntax to create tuples
Tuple properties
Indexing on tuples
Slicing on tuples
Tuple methods
7. Sets
Subjects covered in sets in Python:

The syntax for creating sets
Updating sets
Set operations and methods
Difference between sets, lists, and tuples
8. Dictionaries

Subjects covered in dictionaries in Python:

The syntax for creating Dictionaries
Storing data in Dictionaries
Dictionaries keys and values
Accessing the elements of Dictionaries
Dictionary methods
9. Python conditional statements

Subjects covered in conditional statements in Python:

Setting logic with conditional statements
If statements
If -else statements
If-elif-else statements
10. Loops in Python

Subjects covered in loops in Python:

Iterating with Python loops
while loop
for loop
range
break
continue
pass
enumerate
zip
assert

Auf dieser Seite können Sie das Online-Video Strings | Strings in Python | Methods | Complete Python 🐍 Python Programming 🐍 mit der Dauer stunde minuten sekunde in guter Qualität ansehen, das der Benutzer Technical Ma’am 28 Juli 2024 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 31 Mal angesehen und es wurde von like den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!