Python is a general-purpose, high-level programming language that can be used for web development, software development, data analysis, and more. It was created in the 1980s by Guido van Rossum. The document discusses why Python is useful, including that it is interpreted, dynamically typed, strongly typed, requires less code than other languages, and works on many platforms. Basic Python syntax and data types are also covered.
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This document provides an overview of Python programming language. It discusses Python features, uses, variables, data types, operators, decision making statements, and loops. Specifically, it covers:
- Python features like being easy to learn and read, having an interactive mode, and being portable.
- Python variables, naming rules, and basic data types like numbers, strings, booleans.
- Operators for arithmetic, comparison, assignment, and logic.
- Conditional statements like if, elif, else for decision making.
- Looping structures like while and for loops, with examples of using break, continue, else, range().
- How to write comments, take user input, and
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
The document provides an overview of the Python programming language. It discusses what Python is, its history and naming, features like being dynamically typed and interpreted, popular applications like web development, machine learning, and its architecture. It also covers Python constructs like variables, data types, operators, and strings. The document compares Python to other languages and provides examples of common Python concepts.
This document provides an overview of Python data types including numeric, string, sequence, mapping, boolean, and set data types. It describes the main classes for each data type such as int, float, complex for numeric types, str for strings, list, tuple, range for sequences, dict for mappings, bool for booleans, and set, frozenset for sets. It includes examples of defining variables of each data type and using functions like type() and isinstance() to check the data type. It also summarizes key aspects of each data type like how they can be indexed, sliced, concatenated, and repeated.
This document provides an overview of Python data types. It discusses numeric data types like integer and float, as well as sequence data types like strings, lists, and tuples. It also covers boolean, set, and dictionary data types. For each data type, it provides examples of how to define and use variables of that type in Python code, as well as built-in functions like type() and operations that can be performed. The document contains questions for readers and exercises to test understanding of Python data types.
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Python is a high-level, general-purpose programming language that was created by Guido van Rossum in 1985. It is an interpreted, interactive, object-oriented language with features like dynamic typing and memory management. This document provides an overview of Python 3 and its basic syntax, data types, operators, decision making structures like if/else statements, and loops. It covers topics like variables, numbers, strings, lists, tuples, dictionaries, and type conversion between data types.
Python (Data Analysis) cleaning and visualizeIruolagbePius
This document provides an overview of Python programming language. It discusses Python features, uses, variables, data types, operators, decision making statements, and loops. Specifically, it covers:
- Python features like being easy to learn and read, having an interactive mode, and being portable.
- Python variables, naming rules, and basic data types like numbers, strings, booleans.
- Operators for arithmetic, comparison, assignment, and logic.
- Conditional statements like if, elif, else for decision making.
- Looping structures like while and for loops, with examples of using break, continue, else, range().
- How to write comments, take user input, and
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
The document provides an overview of the Python programming language. It discusses what Python is, its history and naming, features like being dynamically typed and interpreted, popular applications like web development, machine learning, and its architecture. It also covers Python constructs like variables, data types, operators, and strings. The document compares Python to other languages and provides examples of common Python concepts.
This document provides an overview of Python data types including numeric, string, sequence, mapping, boolean, and set data types. It describes the main classes for each data type such as int, float, complex for numeric types, str for strings, list, tuple, range for sequences, dict for mappings, bool for booleans, and set, frozenset for sets. It includes examples of defining variables of each data type and using functions like type() and isinstance() to check the data type. It also summarizes key aspects of each data type like how they can be indexed, sliced, concatenated, and repeated.
This document provides an overview of Python data types. It discusses numeric data types like integer and float, as well as sequence data types like strings, lists, and tuples. It also covers boolean, set, and dictionary data types. For each data type, it provides examples of how to define and use variables of that type in Python code, as well as built-in functions like type() and operations that can be performed. The document contains questions for readers and exercises to test understanding of Python data types.
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Python is a high-level, general-purpose programming language that was created by Guido van Rossum in 1985. It is an interpreted, interactive, object-oriented language with features like dynamic typing and memory management. This document provides an overview of Python 3 and its basic syntax, data types, operators, decision making structures like if/else statements, and loops. It covers topics like variables, numbers, strings, lists, tuples, dictionaries, and type conversion between data types.
Python supports four main numerical types - integers, long integers, floating point numbers, and complex numbers. It provides various functions for mathematical, random number, trigonometric operations and constants like pi and e. Numbers are immutable and created using literals or by assigning values. The del statement can delete single or multiple number references.
Python strings are sequences of characters that can be accessed and manipulated using various string methods. Strings can be declared using either single or double quotes and support escape characters. Strings are immutable and concatenation creates a new string. Common string methods include len() to get the length, lower()/upper() to case conversion, strip() to remove whitespace, and startswith()/endswith() to check substrings.
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This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
This document provides an overview of Python basics training. It covers installing Python, running Python code through various methods like the command line, IDLE, and Jupyter notebooks. It also discusses Python syntax, variables, data types, operators, conditional statements, and loops. Key Python data types include integers, floats, strings, lists, and dictionaries. The document is intended as an introduction to Python for beginners.
This document provides an introduction to Python programming concepts such as keywords, identifiers, comments, variables, data types, and literals. It defines keywords as reserved words in Python that have special meanings. Identifiers are names given to variables and other objects. Comments are notes for making code more readable. Variables are containers that hold data values. Literals represent fixed values like numbers and strings. The document also discusses Python data types like integers, floats, booleans, lists, tuples, dictionaries and sets.
The document provides an introduction to Python programming. It discusses key concepts like variables, data types, operators, and sequential data types. Python is presented as an interpreted programming language that uses indentation to indicate blocks of code. Comments and documentation are included to explain the code. Various data types are covered, including numbers, strings, booleans, and lists. Operators for arithmetic, comparison, assignment and more are also summarized.
This document discusses various Python programming concepts including:
- Integer, floating point, and boolean literals
- Comments, blocks, and indentation in Python code
- Variables, data types, and dynamic typing
- Mutable and immutable data types
- Input and output functions
- Type casting and conversions
It provides examples and explanations of these fundamental Python programming elements to describe how the Python language handles and represents different data types, structures code, and accepts user input.
This presentation educates you about the types o python variables, Assigning Values to Variables, Multiple Assignment, Standard Data Types, Data Type Conversion and Function & Description.
For more topics stay tuned with Learnbay.
This document provides an overview of the Python programming language in 3 paragraphs. It discusses that Python is a high-level, interpreted, interactive and object-oriented scripting language. It was created by Guido van Rossum in the late 1980s and derived from languages like C and C++. The document then covers some key features of Python, including that it is easy to learn and read, portable, extensible and supports object-oriented programming. It provides examples of Python's basic syntax including indentation, variables, data types, operators and more.
Python is a popular programming language used in a variety of applications, including data analysis, web development, and artificial intelligence. Here's an introduction to the Basics of Python - A Beginners Guide! Whether you're new to programming or looking to brush up on your skills, this video covers the basics of Python programming language. From data types and operators to loops, functions and libraries, you'll get a solid foundation to start coding in Python.
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Python is an interpreted, object-oriented, high-level programming language with dynamic typing and dynamic binding. Its simple, easy to learn syntax emphasizes readability and it uses significant indentation to delimit code blocks rather than curly braces or keywords. Python supports modules and packages, which encourages program modularity and code reuse. It also has a large standard library.
This document discusses variables, data types, expressions, and functions in Python. It defines a variable as a name that represents a stored value in memory. It describes different data types in Python including integers, floats, strings, Booleans, and others. It also discusses expressions, which represent computations that evaluate to a value, and different expression types like arithmetic, relational, logical, and compound expressions. Finally, it introduces functions as blocks of code that perform tasks and can return values.
The document provides an overview of the Python programming language. It discusses why Python is useful for students and professionals, its major features like being object-oriented and having a large standard library. The document also covers Python's history, how to install it and set the environment variables, basic syntax like variables and data types, operators, and common programming constructs like conditionals and loops.
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Python supports four main numerical types - integers, long integers, floating point numbers, and complex numbers. It provides various functions for mathematical, random number, trigonometric operations and constants like pi and e. Numbers are immutable and created using literals or by assigning values. The del statement can delete single or multiple number references.
Python strings are sequences of characters that can be accessed and manipulated using various string methods. Strings can be declared using either single or double quotes and support escape characters. Strings are immutable and concatenation creates a new string. Common string methods include len() to get the length, lower()/upper() to case conversion, strip() to remove whitespace, and startswith()/endswith() to check substrings.
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This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
This document provides an overview of Python basics training. It covers installing Python, running Python code through various methods like the command line, IDLE, and Jupyter notebooks. It also discusses Python syntax, variables, data types, operators, conditional statements, and loops. Key Python data types include integers, floats, strings, lists, and dictionaries. The document is intended as an introduction to Python for beginners.
This document provides an introduction to Python programming concepts such as keywords, identifiers, comments, variables, data types, and literals. It defines keywords as reserved words in Python that have special meanings. Identifiers are names given to variables and other objects. Comments are notes for making code more readable. Variables are containers that hold data values. Literals represent fixed values like numbers and strings. The document also discusses Python data types like integers, floats, booleans, lists, tuples, dictionaries and sets.
The document provides an introduction to Python programming. It discusses key concepts like variables, data types, operators, and sequential data types. Python is presented as an interpreted programming language that uses indentation to indicate blocks of code. Comments and documentation are included to explain the code. Various data types are covered, including numbers, strings, booleans, and lists. Operators for arithmetic, comparison, assignment and more are also summarized.
This document discusses various Python programming concepts including:
- Integer, floating point, and boolean literals
- Comments, blocks, and indentation in Python code
- Variables, data types, and dynamic typing
- Mutable and immutable data types
- Input and output functions
- Type casting and conversions
It provides examples and explanations of these fundamental Python programming elements to describe how the Python language handles and represents different data types, structures code, and accepts user input.
This presentation educates you about the types o python variables, Assigning Values to Variables, Multiple Assignment, Standard Data Types, Data Type Conversion and Function & Description.
For more topics stay tuned with Learnbay.
This document provides an overview of the Python programming language in 3 paragraphs. It discusses that Python is a high-level, interpreted, interactive and object-oriented scripting language. It was created by Guido van Rossum in the late 1980s and derived from languages like C and C++. The document then covers some key features of Python, including that it is easy to learn and read, portable, extensible and supports object-oriented programming. It provides examples of Python's basic syntax including indentation, variables, data types, operators and more.
Python is a popular programming language used in a variety of applications, including data analysis, web development, and artificial intelligence. Here's an introduction to the Basics of Python - A Beginners Guide! Whether you're new to programming or looking to brush up on your skills, this video covers the basics of Python programming language. From data types and operators to loops, functions and libraries, you'll get a solid foundation to start coding in Python.
Visit us: https://www.elewayte.com/
Python is an interpreted, object-oriented, high-level programming language with dynamic typing and dynamic binding. Its simple, easy to learn syntax emphasizes readability and it uses significant indentation to delimit code blocks rather than curly braces or keywords. Python supports modules and packages, which encourages program modularity and code reuse. It also has a large standard library.
This document discusses variables, data types, expressions, and functions in Python. It defines a variable as a name that represents a stored value in memory. It describes different data types in Python including integers, floats, strings, Booleans, and others. It also discusses expressions, which represent computations that evaluate to a value, and different expression types like arithmetic, relational, logical, and compound expressions. Finally, it introduces functions as blocks of code that perform tasks and can return values.
The document provides an overview of the Python programming language. It discusses why Python is useful for students and professionals, its major features like being object-oriented and having a large standard library. The document also covers Python's history, how to install it and set the environment variables, basic syntax like variables and data types, operators, and common programming constructs like conditionals and loops.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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2. What is Python?
Python is a general-purpose interpreted, interactive, object-oriented, and high-
level programming language. It was created by Guido van Rossum during
1985- 1990.
It is used for:
• web development (server-side).
• software development.
• Mathematics.
• GUI applications.
• Scrape data from websites.
• Analyze Data.
• Game Development.
• Data Science
3. Why Python?
Python is an interpreted language
when you run python program an interpreter will parse python program line by line basis, as
compared to compiled languages like C or C++, where compiler first compiles the program and
then start running.
interpreted languages are a little slow as compared to compiled languages.
Python is Dynamically Typed
Python doesn't require you to define variable data type ahead of time. Python automatically
infers the data type of the variable based on the type of value it contains.
myvar = "Hello Python"
The above line of code assigns string "Hello Python" to the variable myvar, so the type
of myvar is string.
myvar = 1 Now myvar variable is of type int.
4. Why Python?
Python is strongly typed
If you have programmed in PHP or javascript. You may have noticed that they both convert data of
one type to another automatically.
In JavaScript
1 + "2" will be ’12’
Here, before addition (+) is carried out, 1 will be converted to a string and concatenated to "2",
which results in '12', which is a string. However, In Python, such automatic conversions are not
allowed, so
1 + "2" will produce an error.
5. Why Python?
Write less code and do more
Programs written in Python are usually 1/3 or 1/5 of the Java code. It means we can write
less code in Python to achieve the same thing as in Java.
To read a file in Python you only need 2 lines of code:
with ("myfile.txt") as f:
print(f.read())
Python works on different platforms (Windows, Mac, Linux, etc).
6. Why Python?
The fastest-growing major programming language, as you can see in
Figure 1-4.
7. Python Syntax compared to other
programming languages
Python was designed for readability, and has some similarities to the
English language with influence from mathematics.
Python uses new lines to complete a command, as opposed to other
programming languages which often use semicolons or parentheses.
Python relies on indentation, using whitespace, to define scope; such
as the scope of loops, functions and classes. Other programming
languages often use curly-brackets for this purpose.
8. Data: Types, Values, Variables, and Names
Python Data Are Objects
Variables are nothing but reserved memory locations to store values. This
means that when you create a variable you reserve some space in memory.
Based on the data type of a variable, the interpreter allocates memory and
decides what can be stored in the reserved memory. Therefore, by
assigning different data types to variables, you can store integers, decimals
or characters in these variables.
Assigning Values to Variables
Python variables do not need explicit declaration to reserve memory space.
The declaration happens automatically when you assign a value to a
variable.
counter = 100 # An integer assignment
miles = 1000.0 # A floating point
name = "John" # A string
9. Data: Types, Values, Variables, and Names
Python variable names have some rules:
They can contain only these characters:
Lowercase letters (a through z)
Uppercase letters (A through Z)
Digits (0 through 9)
Underscore (_)
They are case-sensitive: thing, Thing, and THING are different names.
They must begin with a letter or an underscore, not a digit.
They cannot be one of Python’s reserved words (also known as keywords).
>>> help("keywords")
>>> import keyword
>>> keyword.kwlist
10. Data: Types, Values, Variables, and Names
Variables Are Names, Not Places
In Python, if you want to know the type of variable, you can use
type(variable Name)
>>> type(7)
<class 'int’>
Assigning to Multiple Names
>>> a = b = c = 2
>>> a = b = c = 1,2,”Ahmed”
Reassigning a Name
Because names point to objects, changing the value assigned to a name just makes the name
point to a new object.
Copying
As you saw in Figure 2-4, assigning an existing variable a to a new variable named b just
makes b point to the same object that a does.
11. Data: Types, Values, Variables, and
Names
In this code, Python did the following:
Created an integer object with the value 5
Made a variable y point to that 5 object
Incremented the reference count of the object with value 5
Created another integer object with the value 12
Subtracted the value of the object that y points to (5) from the value 12 in the
(anonymous) object with that value
Assigned this value (7) to a new (so far, unnamed) integer object
Made the variable x point to this new object
Incremented the reference count of this new object that x points to
12. Python Numbers
This data type supports only numerical values like 1, 31.4, -
1000, 0.000023, 88888888.
Python supports 3 different numerical types.
1. int - for integer values like 1, 100, 2255, -999999, 0, 12345678.
2. float - for floating-point values like 2.3, 3.14, 2.71, -11.0.
3. complex - for complex numbers like 3+2j, -2+2.3j, 10j, 4.5+3.14j.
15. Bases
You can go the other direction, converting an integer to a string with any of these
bases:
>>> value = 65
>>> bin(value)
'0b1000001'
>>> oct(value)
'0o101'
>>> hex(value)
'0x41’
The chr() function converts an integer to its single character string equivalent:
>>> chr(65)
‘A’
And ord() goes the other way:
>>> ord('A')
65
16. Number Type Conversion
To change other Python data types to an integer, use the int() function.
>>> int(True)
1
>>> int(False)
0
Turning this around, the bool() function returns the boolean equivalent of an integer:
>>> bool(1)
True
>>> bool(0)
False
>>> int(98.6)
98
>>> int(1.0e4)
10000
17. Number Type Conversion
To getting the integer value from a text string>>>
int(True)
>>> int(‘99')
99
>>> int('-23')
-23
>>> int('+12')
12
>>> int('1_000_000')
1000000
If the string represents a nondecimal
integer, you can include the base:
>>> int('10', 2) # binary
2
>>> int('10', 8) # octal
8
>>> int('10', 16) # hexadecimal
16
>>> int('10', 22) # chesterdigital
22
18. Number Type Conversion
you can convert a string containing characters that
would be a valid float
>>> float('98.6')
98.6
>>> float('-1.5')
-1.5
>>> float('1.0e4')
10000.0
When you mix integers and floats, Python
automatically promotes the integer values to float
values
>>> 43 + 2.
45.0
Python also promotes booleans to
integers or floats:
>>> False + 0
0
>>> False + 0.
0.0
>>> True + 0
1
>>> True + 0.
1.0
19. Comment #
You’ll usually see a comment on a line by itself, as shown here:
>>> # 60 sec/min * 60 min/hr * 24 hr/day
>>> seconds_per_day = 86400
Or, on the same line as the code it’s commenting:
>>> seconds_per_day = 86400 # 60 sec/min * 60 min/hr * 24 hr/day
20. Continue Lines with
>>> sum = 1 +
... 2 +
... 3 +
... 4
>>> sum
10
------------------------------------------------------------------
----
>>> sum = 1 +
File "<stdin>", line 1
sum = 1 +
^
SyntaxError: invalid syntax
>>> sum = (
... 1 +
... 2 +
... 3 +
... 4)
>>>
>>> sum