This document provides an introduction to Python fundamentals, including character sets, tokens, identifiers, literals, operators, punctuators, whitespace, comments, statements, and functions. It defines each concept and provides examples. The character set in Python includes letters, digits, special symbols, and whitespace. Tokens include keywords, identifiers, literals, operators, and punctuators. Identifiers are names given to objects in a program. Literals represent fixed values through strings, integers, floats, Booleans, and collections. Operators trigger computations on variables. Punctuators separate language elements while whitespace ensures readability. Comments are non-executable notes. Statements are program instructions and functions define reusable blocks of code.
This document provides an introduction to Python fundamentals, including character sets, tokens, identifiers, literals, operators, punctuators, whitespace, comments, statements, and functions. It defines keywords, strings, integers, floats, Booleans, and collections as types of literals. It also covers Python naming conventions and escape sequences for strings.
This document provides an introduction to Python fundamentals including character sets, tokens, keywords, identifiers, literals, operators, punctuators, comments, and functions. It defines each concept and provides examples. It also discusses Python programming conventions like indentation, line length, and whitespace. Finally, it covers variables and assignments, dynamic typing, the type() function, input() function, and print() function.
This document provides an introduction to Python fundamentals, including:
- Python's character set includes letters, digits, symbols, and whitespace. Tokens are the basic elements identified by Python like keywords, identifiers, literals, operators, and punctuators.
- Keywords are reserved words in Python that cannot be used as identifiers. Identifiers are names given to objects in Python like variables and functions. Literals represent constant values like strings, numbers, Booleans, and collections.
- Strings can be single, multi-line, or use escape sequences. Numbers can be integers, floats, or complex. Boolean literals are True and False. Functions are self-contained blocks that perform tasks.
-
This document provides an introduction to Python fundamentals, including:
1. The Python character set includes letters, digits, symbols, and whitespace. Individual elements are called tokens or lexical units.
2. Keywords, identifiers, literals, operators, and punctuators are the main types of tokens. Identifiers follow specific naming conventions. Literals include strings, numbers, Booleans, None, and collections.
3. Strings can be single or multi-line with escape sequences. Numbers can be integers, floats, or complex. True, False, and None are Boolean and special literals.
This document provides an introduction to Python fundamentals. It discusses Python's character set, tokens or lexical units including keywords, identifiers, literals, operators, and punctuators. It also covers Python programming concepts such as variables and assignments, functions, comments, statements, and programming conventions regarding whitespace, maximum line length, and case sensitivity. The document aims to explain the basic building blocks of the Python language to learn Python programming.
Python is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability. The syntax in Python helps programmers write code in fewer steps as compared to languages like Java or C++. Character set in Python includes letters, digits, special symbols, and whitespace. Tokens or lexical units are the basic elements identified in a programming language like keywords, identifiers, literals, operators, and punctuators.
This document provides an overview of the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented language and was created by Guido van Rossum. It then covers getting and installing Python, writing basic Python programs, variables and data types, operators, control flow statements like if/else, and other core concepts like functions, modules, and exceptions.
Introduction to Python for Data Science and Machine Learning ParrotAI
This document provides an introduction and overview of Python for data science and machine learning. It covers basics of Python including what Python is, its features, why it is useful for data science. It also discusses installing Python, using the IDLE and Jupyter Notebook environments. The document then covers Python basics like variables, data types, operators, decision making and loops. Finally, it discusses collection data types like lists, tuples and dictionaries and functions in Python.
This document provides an introduction to Python fundamentals, including character sets, tokens, identifiers, literals, operators, punctuators, whitespace, comments, statements, and functions. It defines keywords, strings, integers, floats, Booleans, and collections as types of literals. It also covers Python naming conventions and escape sequences for strings.
This document provides an introduction to Python fundamentals including character sets, tokens, keywords, identifiers, literals, operators, punctuators, comments, and functions. It defines each concept and provides examples. It also discusses Python programming conventions like indentation, line length, and whitespace. Finally, it covers variables and assignments, dynamic typing, the type() function, input() function, and print() function.
This document provides an introduction to Python fundamentals, including:
- Python's character set includes letters, digits, symbols, and whitespace. Tokens are the basic elements identified by Python like keywords, identifiers, literals, operators, and punctuators.
- Keywords are reserved words in Python that cannot be used as identifiers. Identifiers are names given to objects in Python like variables and functions. Literals represent constant values like strings, numbers, Booleans, and collections.
- Strings can be single, multi-line, or use escape sequences. Numbers can be integers, floats, or complex. Boolean literals are True and False. Functions are self-contained blocks that perform tasks.
-
This document provides an introduction to Python fundamentals, including:
1. The Python character set includes letters, digits, symbols, and whitespace. Individual elements are called tokens or lexical units.
2. Keywords, identifiers, literals, operators, and punctuators are the main types of tokens. Identifiers follow specific naming conventions. Literals include strings, numbers, Booleans, None, and collections.
3. Strings can be single or multi-line with escape sequences. Numbers can be integers, floats, or complex. True, False, and None are Boolean and special literals.
This document provides an introduction to Python fundamentals. It discusses Python's character set, tokens or lexical units including keywords, identifiers, literals, operators, and punctuators. It also covers Python programming concepts such as variables and assignments, functions, comments, statements, and programming conventions regarding whitespace, maximum line length, and case sensitivity. The document aims to explain the basic building blocks of the Python language to learn Python programming.
Python is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability. The syntax in Python helps programmers write code in fewer steps as compared to languages like Java or C++. Character set in Python includes letters, digits, special symbols, and whitespace. Tokens or lexical units are the basic elements identified in a programming language like keywords, identifiers, literals, operators, and punctuators.
This document provides an overview of the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented language and was created by Guido van Rossum. It then covers getting and installing Python, writing basic Python programs, variables and data types, operators, control flow statements like if/else, and other core concepts like functions, modules, and exceptions.
Introduction to Python for Data Science and Machine Learning ParrotAI
This document provides an introduction and overview of Python for data science and machine learning. It covers basics of Python including what Python is, its features, why it is useful for data science. It also discusses installing Python, using the IDLE and Jupyter Notebook environments. The document then covers Python basics like variables, data types, operators, decision making and loops. Finally, it discusses collection data types like lists, tuples and dictionaries and functions in Python.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
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.
hi my self jyoti . i have made ppt for students,they can easily learn python from this ppt. students also subscribw my youtube channel for computer related courses i.e jdcomputerdesignclasses where i have made lots of video on office ,python, scratch, html so you can learn from there. All types python content clear in this presentation.
This document provides an introduction and overview of the Python programming language. It discusses that Python is an easy to learn yet powerful language with efficient data structures and object-oriented programming. It also notes that the Python interpreter and extensive standard library are freely available. The objective of the workshop is stated as making attendees able to read, write, and understand Python modules and programs and learn more about the Python standard library.
Python has a consistent syntax that defines rules for writing code. Some key elements of Python syntax include:
- Variables, expressions, and statements that make up the basic building blocks.
- Different data types like integers, floats, strings, lists, and dictionaries.
- Various operators for arithmetic, comparison, assignment, logical operations etc.
- Comments and docstrings to document code.
- Use of indentation to organize blocks of code rather than brackets.
- Support for multiline strings using triple quotes.
- Comparison operators to check relationships between values.
This presentation educates you about Python syntax, Python Identifiers, Naming conventions for Python identifiers, Reserved Words, Lines and Indentation, Multi-Line Statements, Quotation in Python, Comments in Python, Multiple Statements on a Single Line and Multiple Statement Groups as Suites.
For more topics stay tuned with Learnbay.
Python Course In Ghaziabad. Scode network is best training institute for Python which provides Online Python course with complete certificates at an affordable price.
The document discusses Python programming concepts such as data types, variables, operators, and input/output. It provides examples of Python code and explains key features like:
- Python supports several data types including integers, floats, booleans, strings, and lists.
- Variables store and label values that can be of different data types. Variables are created using names.
- Operators like arithmetic, comparison, and logical operators are used to manipulate values.
- User input and output is handled through functions like print() and input().
- Comments, indentation, and quotation are syntax elements in Python code.
This document provides an introduction and overview of the Python programming language course CSE 120 handled by G.Gandhi Jaba Kumar. It discusses that Python is an interpreted, object-oriented, and interactive programming language used for web development, software development, mathematics, and system scripting. The document then covers Python syntax including indentation, comments, keywords, variables, data types, operators, and basic programming concepts like conditionals and loops. It provides examples to illustrate Python code and best practices.
Dear readers, these Python Programming Language Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of Python Programming Language. As per my experience good interviewers hardly plan to ask any particular question during your interview, normally questions start with some basic concept of the subject and later they continue based on further discussion and what you answer −
This document provides an overview of basic Python syntax and data types. It discusses indentation, statements, variables, numbers, strings, lists, tuples, and dictionaries. For each data type, it describes how to define, access, and manipulate objects of that type using various functions and methods. It also provides examples of working with each data type and exercises for hands-on practice. Overall, the document serves as a basic introduction to Python syntax and core data types for new programmers.
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 discusses various data types in Python including float, complex, bool, and str (string) types. It provides details on how each data type stores and represents values. For float, it notes they have a precision of 16 digits and can be represented exponentially. Complex numbers are written as x + yj. Bool only allows True or False values. Strings use Unicode encoding and can be delimited by either single or double quotes, using escape characters when needed. It also discusses accessing individual characters within a string using indexes.
This document discusses strings and lists in Python. It covers:
- Strings are immutable sequences of characters that can be indexed and sliced.
- Lists are mutable sequences that can store multiple data types and be modified using methods like append(), insert(), and extend().
- Common string methods like isupper(), lower(), upper() are used to manipulate string cases.
The document discusses various Python data types including numbers, strings, lists, tuples, and dictionaries. It explains that numbers can be integer, float, or complex types, and strings are immutable sequences of characters. Lists are mutable sequences that can hold elements of different types, while tuples are immutable sequences. Dictionaries are mutable mappings of unique keys to values. The document also covers operators in Python and distinguishes between mutable and immutable data types.
This document provides an introduction to C++ tokens, including keywords, identifiers, literals, punctuators, and operators. It discusses the C++ character set and how a program is constructed using different tokens. Key points covered include:
- The basic building blocks of a C++ program are tokens like keywords, identifiers, literals, punctuators, and operators.
- Literals include integer, character, floating, string, and Boolean constants. Punctuators include brackets, parentheses, braces, commas, semicolons, and other special characters.
- The main types of operators are arithmetic, relational, logical, unary, assignment, conditional, and comma operators.
This document discusses Python lists. It defines lists as ordered collections of elements that can contain items of different data types. Lists are mutable and can be modified by adding, removing, or changing elements. Some key points made include:
- Lists are created using square brackets [] and elements are separated by commas
- Individual elements can be accessed by their integer index
- Common list methods include len() to get length, max() and min() to find extremes, and append() to add an element
- Operators like + for concatenation and [:] for slicing can be used to modify and extract subsets of list elements.
The document provides an introduction to the Python programming language. It discusses that Python is an interpreted, high-level and general-purpose programming language. It describes Python's history and mentions some of its key features like being easy to learn and use, having extensive libraries, and being free and open source. The document also covers Python data types like integers, floats, strings; variables and expressions; and input/output functions. It provides examples of Python code for basic operations like arithmetic, strings, and input from the user.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
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.
hi my self jyoti . i have made ppt for students,they can easily learn python from this ppt. students also subscribw my youtube channel for computer related courses i.e jdcomputerdesignclasses where i have made lots of video on office ,python, scratch, html so you can learn from there. All types python content clear in this presentation.
This document provides an introduction and overview of the Python programming language. It discusses that Python is an easy to learn yet powerful language with efficient data structures and object-oriented programming. It also notes that the Python interpreter and extensive standard library are freely available. The objective of the workshop is stated as making attendees able to read, write, and understand Python modules and programs and learn more about the Python standard library.
Python has a consistent syntax that defines rules for writing code. Some key elements of Python syntax include:
- Variables, expressions, and statements that make up the basic building blocks.
- Different data types like integers, floats, strings, lists, and dictionaries.
- Various operators for arithmetic, comparison, assignment, logical operations etc.
- Comments and docstrings to document code.
- Use of indentation to organize blocks of code rather than brackets.
- Support for multiline strings using triple quotes.
- Comparison operators to check relationships between values.
This presentation educates you about Python syntax, Python Identifiers, Naming conventions for Python identifiers, Reserved Words, Lines and Indentation, Multi-Line Statements, Quotation in Python, Comments in Python, Multiple Statements on a Single Line and Multiple Statement Groups as Suites.
For more topics stay tuned with Learnbay.
Python Course In Ghaziabad. Scode network is best training institute for Python which provides Online Python course with complete certificates at an affordable price.
The document discusses Python programming concepts such as data types, variables, operators, and input/output. It provides examples of Python code and explains key features like:
- Python supports several data types including integers, floats, booleans, strings, and lists.
- Variables store and label values that can be of different data types. Variables are created using names.
- Operators like arithmetic, comparison, and logical operators are used to manipulate values.
- User input and output is handled through functions like print() and input().
- Comments, indentation, and quotation are syntax elements in Python code.
This document provides an introduction and overview of the Python programming language course CSE 120 handled by G.Gandhi Jaba Kumar. It discusses that Python is an interpreted, object-oriented, and interactive programming language used for web development, software development, mathematics, and system scripting. The document then covers Python syntax including indentation, comments, keywords, variables, data types, operators, and basic programming concepts like conditionals and loops. It provides examples to illustrate Python code and best practices.
Dear readers, these Python Programming Language Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of Python Programming Language. As per my experience good interviewers hardly plan to ask any particular question during your interview, normally questions start with some basic concept of the subject and later they continue based on further discussion and what you answer −
This document provides an overview of basic Python syntax and data types. It discusses indentation, statements, variables, numbers, strings, lists, tuples, and dictionaries. For each data type, it describes how to define, access, and manipulate objects of that type using various functions and methods. It also provides examples of working with each data type and exercises for hands-on practice. Overall, the document serves as a basic introduction to Python syntax and core data types for new programmers.
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 discusses various data types in Python including float, complex, bool, and str (string) types. It provides details on how each data type stores and represents values. For float, it notes they have a precision of 16 digits and can be represented exponentially. Complex numbers are written as x + yj. Bool only allows True or False values. Strings use Unicode encoding and can be delimited by either single or double quotes, using escape characters when needed. It also discusses accessing individual characters within a string using indexes.
This document discusses strings and lists in Python. It covers:
- Strings are immutable sequences of characters that can be indexed and sliced.
- Lists are mutable sequences that can store multiple data types and be modified using methods like append(), insert(), and extend().
- Common string methods like isupper(), lower(), upper() are used to manipulate string cases.
The document discusses various Python data types including numbers, strings, lists, tuples, and dictionaries. It explains that numbers can be integer, float, or complex types, and strings are immutable sequences of characters. Lists are mutable sequences that can hold elements of different types, while tuples are immutable sequences. Dictionaries are mutable mappings of unique keys to values. The document also covers operators in Python and distinguishes between mutable and immutable data types.
This document provides an introduction to C++ tokens, including keywords, identifiers, literals, punctuators, and operators. It discusses the C++ character set and how a program is constructed using different tokens. Key points covered include:
- The basic building blocks of a C++ program are tokens like keywords, identifiers, literals, punctuators, and operators.
- Literals include integer, character, floating, string, and Boolean constants. Punctuators include brackets, parentheses, braces, commas, semicolons, and other special characters.
- The main types of operators are arithmetic, relational, logical, unary, assignment, conditional, and comma operators.
This document discusses Python lists. It defines lists as ordered collections of elements that can contain items of different data types. Lists are mutable and can be modified by adding, removing, or changing elements. Some key points made include:
- Lists are created using square brackets [] and elements are separated by commas
- Individual elements can be accessed by their integer index
- Common list methods include len() to get length, max() and min() to find extremes, and append() to add an element
- Operators like + for concatenation and [:] for slicing can be used to modify and extract subsets of list elements.
The document provides an introduction to the Python programming language. It discusses that Python is an interpreted, high-level and general-purpose programming language. It describes Python's history and mentions some of its key features like being easy to learn and use, having extensive libraries, and being free and open source. The document also covers Python data types like integers, floats, strings; variables and expressions; and input/output functions. It provides examples of Python code for basic operations like arithmetic, strings, and input from the user.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
E-commerce Application Development Company.pdfHornet Dynamics
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Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
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8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
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Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
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UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
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We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
5. INTRODUCTION
Python is a high-level, interpreted and general-
purpose dynamic programming language that
focuses on code readability. The syntax in Python
helps the programmers to do coding in fewer steps
as compared to Java or C++.
Let us learn the basic elements of python
programming
15. What is Keyword?
Keywords are also called as reserved
words these are having special meaning
in python language. The words are
defined in the python interpreter hence
these cant be used as programming
identifiers.
1. Keyword/Reserved Word
20. 2. IDENTIFIERS
What is an identifier?
A Python Identifier is a name given
to a function, class, variable, module, or
other objects that you’ll be using in
your Python program.
In short, its a name appeared in the
program.
For example: a, b, c
a b and c are the identifiers and
a b & c and , are the tokens
22. PYTHON NAMING CONVENTIONS
What are the python naming
conventions?
1. An identifier can be a combination
of uppercase letters, lowercase letters,
underscores, and digits (0-9). Hence,
the following are valid identifiers:
myClass, my_variable, var_1, and
print_hello_world.
23. PYTHON NAMING CONVENTIONS
What are the python naming
conventions?
2. The first character must be letter.
3. Special characters such as %, @, and
$ are not allowed within identifiers.
4. An identifier should not begin with a
number. Hence, 2variable is not
valid, but variable2 is acceptable.
24. What are the python naming
conventions?
5. Python is a case-sensitive language
and this behaviour extends to
identifiers. Thus, Labour and labour are
two distinct identifiers in Python.
6. You cannot use Python keywords as
identifiers.
PYTHON NAMING CONVENTIONS
25. What are the python naming
conventions?
7. You cannot use Python keywords as
identifiers.
8. You can use underscores to separate
multiple words in your identifier.
PYTHON NAMING CONVENTIONS
26. SOME VALID IDENTIFIERS:
Myfile1 DATE9_7_8
y3m9d3 _xs
MYFILE _FXd
SOME INVALID IDENTIFIERS:
MY-REC 28dre break
elif false del
PYTHON NAMING CONVENTIONS
28. 3. LITERALS / CONSTANT VALUES
What is literals?
Literals are also called as constants
or constant values these are the values
which never change during the
execution of program.
30. TYPES OF LITERALS / CONSTANT VALUES
What are the types of literals?
1) String Literals or Constants.
2) Numeric Literals or Constants.
3) Boolean Literals or Constants.
4) Special Literal None.
5) Literal Collections.
32. 1. STRING LITERALS OR CONSTANTS
What is string?
Sequence of letters enclosed in
quotes is called string or string literal or
constant.
Python supports both form of
quotes i.e.
‘Hello’
“Hello”
34. REPRESENTATION OF STRING
>>> s = “Hello Python”
This is how Python would index the string:
Forward Indexing
Backward Indexing
35. REPRESENTATION OF STRING
To access the first character on the string
you just created, type and enter the variable
name s and the index 0 within square brackets
like this:
>>>s[0]
You’ll get this output:
‘H’
36. REPRESENTATION OF STRING
To access the last character, you can use this
expression:
>>>s[len(s)-1]
You’ll get the output:
‘n’
Len() function
is used to find
the length of
the string.
37. REPRESENTATION OF STRING
The expression introduces you to the len
function. There is actually an easier way to
access the last item on the string:
>>>s[-1]
‘n’
To access the penultimate character:
>>>s[-2]
‘o’
38. TYPES OF STRINGS
What are the types of strings supported
in python?
Python supports two ways of
representation of strings:
1) Single Line Strings.
2) Multi Line Strings.
40. SINGLE LINE STRINGS
Strings created using single quote or
double quote must end in one line are
called single line strings
For Example:
Item=“Computer”
Or
Item= ‘Computer’
41. MULTI LINE STRINGS
Strings created using single quote or
double quote and spread across
multiple lines are called Multi Line
Strings.
by adding backslash one can
continue to type on next line.
For instance: Item = ‘Key
board’
45. STRINGS WITH TRIPLE QUOTES
For multi line strings created by triple
quotes, while calculating size, the
EOL(End of Line) character at the end of
line is also counted.
For instance:
Str2=“’x
y
Z”’
Enter keys are
considered as
EOL so size of
str2 is 5
63. 2. NUMERICAL LITERALS
Numerical Literals have the following
types:
int or integers - Whole numbers
float - real values
Complex - Complex numbers
64. 2. NUMERICAL LITERALS
Numerical Literals have the following
types:
int or integers - Whole numbers
float - real values
Complex - Complex numbers
65. INTEGER LITERALS OR CONSTANTS
Decimal Integer Literals: Any whole number
(+ve) or (-ve).
66. INTEGER LITERALS OR CONSTANTS
Octal Integer Literals(base 8): A Sequence of
digits starting with 0O (digit zero followed by
letter o) is taken to be an Octal Integer
Literals.
67. INTEGER LITERALS OR CONSTANTS
Hexadecimal Integer Literals (base 16):
Sequence of digits preceded by ox or OX is
hexadecimal integer literals
68. INTEGER LITERALS OR CONSTANTS
Binary literals (base 2): To signify binary
literals, you’ll use the prefix ‘0B’ or ‘0b’ (zero
and uppercase or lowercase ‘b’).
70. To convert an integer into its string
representation, you can use the functions hex(),
bin(), and oct().
To convert the integer 7 to its octal literal, type
and enter oct(7) on the command prompt. You’ll
get the output ‘0o7’:
oct ( )
71. Here is what happens when you convert the
integer 2572 to a hexadecimal literal:
hex ( )
72. see what happens when you use the bin()
function to convert the integer 12 to its binary
string:
bin ( )
74. FLOATING POINT LITERALS OR CONSTANTS
Floating point literals are also
called as real literals having fractional part.
These may be written in one of the two forms:
1. Fractional Form: for example 15.75
2. Exponent Form: It consists of two parts
Mantissa and Exponent. for example 5.8 can
be represented as 0.58 x 10-1 = 0.58E01.
where mantissa part is 0.58 and E01 is the
exponent.
81. 5) LITERAL COLLECTIONS
Python supports literal collections
also such as tuple and lists ..etc
It will be to complex to discuss as we are
in the beginning, subsequent chapters we will
cover literal collections.
83. OPERATORS
What is an operator?
Operators are tokens that trigger some
computation when applied to a variable.
In detail we study in the next chapter.
85. PUNCTUATORS
Punctuators are also called as separators
The Followings are used as punctuators:
Brackets [ ]
Parentheses ( )
Braces { }
Comma ,
Semicolon ;
Colon :
Asterisk *
Ellipsis …
Equal Sign =
Pound Sign #
87. WHITE SPACE
• Use consistent indentation instead.
• The first line with less indentation is
outside of the block.
• The first line with more indentation
starts a nested block.
• Often a colon appears at the start of a
new block. (E.g. for function and class
definitions.).
89. COMMENTS
Comments are non executable
statements in a program.
Single line comment always starts
with #
Multiline comment will be in triple
quotes. For example “’ write a program
to find the simple interest “’.
Note: Triple apostrophe is called docstrings.
91. STATEMENTS
In computer terminology statement
refers to an instruction.
Program contains several
statements. A collection of statements
makes program
Another name for a program is
code.
93. FUNCTIONS
What is function?
Function is a self contained program
segment which carries out some specific
well defined task.
For Example:
def sqr( num ):
result= num *num
print ("Square = " , result)
sqr()
95. PYTHON PROGRAMMING CONVENTIONS
Statement Termination: python does
not use any symbol to terminate the
statement.
Maximum Line Length: Line Length be
maximum 79 characters.
Whitespaces: you should always have
whitespace around operators but not
with parenthesis.
96. PYTHON PROGRAMMING CONVENTIONS
Block or Code Block: A group of
statements which are part of another
statement or function is called Block or
Code Block.
Case Sensitive: Python is case sensitive.
98. VARIABLES AND ASSIGNMENTS
Named labels are called variables.
For example: marks =86
78 79 80 81 82 83 84 85 86 87
2000 2016 2018 2026 2032 2044 2048 2050 2054 2068
marks refers to
location 2054
99. VARIABLES AND ASSIGNMENTS
Now marks = 81
78 79 80 81 82 83 84 85 86 87
2000 2016 2018 2026 2032 2044 2048 2050 2054 2068
marks refers to
location 2026
Note: Variables in python do not have fixed
locations unlike other programming languages
100. VARIABLES AND ASSIGNMENTS
lvalues & rvalues:
Lvalue: Expressions that is on LHS (Left
Hand Side) is called Lvalue.
Rvalue: Expressions that is on RHS (Right
Hand Side) is called Rvalue.
101. VARIABLES AND ASSIGNMENTS
Multiple Assignments
Python is very versatile with
assignment statements.
1. Assigning same value to multiple
variables:
a=b=c=d=e=10
102. VARIABLES AND ASSIGNMENTS
Multiple Assignments
2. Assigning Multiple values to multiple
variables:
p,q,r =5,10,15
print(q, r) will print 10 15
p,q=q,p
print (p,q) will print 10 5
103. VARIABLES AND ASSIGNMENTS
Multiple Assignments
2. Assigning Multiple values to multiple
variables:
a,b,c = 5,10,7
b,c,a = a+1, b+2, c-1
print(a,b,c) will print 6 6 12
Now,
X=10
104. VARIABLES AND ASSIGNMENTS
Multiple Assignments
Expressions separated by commas
are evaluated from left to right.
Now,
x = 10
y,y = x+2,x+5
y,y = 12,15
First It will assign y = 12 then y = 15
So print(y) will print 15
105. VARIABLES AND ASSIGNMENTS
Dynamic Typing:
A variable pointing to a value of certain
type can be made to point to a value/object
of different type this is called Dynamic
Typing.
x=10
print(x)
x=“ Hello World”
print(x)
108. VARIABLES AND ASSIGNMENTS
type() function:
To know the data type of a value which is
pointing use type ( )
>>>a=10
>>>type(a)
<class ‘int’>
>>>a=20.4
>>>type(a)
<class ‘float’>
Type returned as integer
Type returned as float
109. VARIABLES AND ASSIGNMENTS
type() function:
To know the data type of a value which is
pointing use type ( )
>>>a=“Hello”
>>>type(a)
<class ‘str’> Type returned as string
111. INPUT ( ) FUNCTION
Input( ) Function is a built in function of
python used to read values from the user
The general format or syntax of the input() is:
Variable_to_hold_the_value=input(message)
For Example:
Where,
variable_to_Hold_the_Value is a variable
which is the label for a memory location
where the value is stored.
112. INPUT ( ) FUNCTION
For Example:
p = input(“Enter the value”)
x = int(input(“Enter x value”))
reads the value and converts it in to integer type
data or value.
y=float(input(“Enter y value”))
reads the value and converts it in to float type
data or value.
113. INPUT ( ) FUNCTION
int ( ) and float ( ) Functions:
Python offers two functions to be used
with input( ) to convert the received values:
Example 1: >>age = int(input(“Enter age”))
Example 2: >>sal=float(input(“Enter salary))
115. PRINT ( ) FUNCTION
print( ) Function is a built in function of
python used to display the values on the
screen
The general format or syntax of the input() is:
print(*objects, sep=' ', end='n', file=sys.stdout,
flush=False)
The print function can print an arbitrary
number of values ("value1, value2, ..."), which are
separated by commas. These values are separated
by blanks. In the following example we can see
two print calls. We are printing two values in both
cases, i.e. a string and a float number:
116. PRINT ( ) FUNCTION
print() Parameters:
objects - object to the printed. * indicates that
there may be more than one object
sep - objects are separated by sep. Default
value: ' ‘ end - end is printed at last
file - must be an object with write(string)
method. If omitted it, sys.stdout will be used
which prints objects on the screen.
flush - If True, the stream is forcibly
flushed. Default value: False
117. PRINT ( ) FUNCTION
print("Python is fun.")
a = 5
#Two objects are passed:
print("a =", a)
b = a
# Three objects are passed:
print('a =', a, '= b‘)
Output
Python is fun.
a = 5
a = 5 = b
Example 1: How print() works in Python?
118. PRINT ( ) FUNCTION
>>> print("a = ", a)
a = 3.564
>>> print("a = n", a)
a =
3.564
>>>
Example 2: How print() works in Python?
121. CLASS TEST ON PYTHON FUNDAMENTALS
Each carries 2 Marks Questions (10 x 2 = 20)
1. What is EOL?
2. What is an escape sequence?
3. What is the maximum line length in a
python program?
4. Write any four keywords of python
language
5. What are the types of Assignment
statements? Explain
6. Explain with a diagram how a variable
refers to a memory location?
122. CLASS TEST ON PYTHON FUNDAMENTALS
Each carries 2 Marks Questions (10 x 2 = 20)
7. What is Dynamic typing?
8. Write any four python naming
conventions
9. What is input ( ) function? Write down the
general format of input ( ) function and explain
with proper example.
10. What is print ( ) function? Write down the
general format of print ( ) function and explain
with proper example.
***
124. 1. What is character set?
2. What is token?
3. List the types of tokens
4. What is keyword?
5. What is an identifier? Give suitable example.
6. What is a literal?
7. What is string?
8. What is single line string?
9. What is multi line string?
10. What is EOL?
11. What is an escape sequence?
12. What is Boolean literal?
CHAPTER 2: PYTHON FUNDAMENTALS
One Mark Questions
125. 13. What is none?
14. What is an operator?
15. What is Unary Operator?
16. What is Binary Operator?
17. List the shift operators
18. List the Bitwise operators
19. What is an assignment statement?
20. What is Punctuators?
21. What is comment?
22. What is whitespace?
23. What is statement?
CHAPTER 2: PYTHON FUNDAMENTALS
One Mark Questions
126. 24. Weather python uses statement
termination? Justify your answer
25. What is the maximum line length in a
python program?
26. What is Block?
27. What is Code Block?
28. What is Code?
29. What do you mean by case sensitive
language?
CHAPTER 2: PYTHON FUNDAMENTALS
One Mark Questions
127. 30. What is variable?
31. What is Lvalue?
32. What is Rvalue?
33. What is an Assignment statement?
34. What is Dynamic typing?
CHAPTER 2: PYTHON FUNDAMENTALS
One Mark Questions
128. CHAPTER 2: PYTHON FUNDAMENTALS
Two Marks Questions
1. Explain the character set of python
2. What are the types of tokens supported in
python language?
3. Write any four keywords of python language
4. What are the types of literals?
5. Explain Boolean literals
6. What are relational operators?
7. What are the types of Assignment
statements? Explain
8. What is General Structure or General format
or Syntax?
129. CHAPTER 2: PYTHON FUNDAMENTALS
Two Marks Questions
9. What are the types of comments? Explain
with suitable examples
10. Explain with a diagram how a variable refers
to a memory location?
11. While dealing with dynamic typing what
caution must be taken care of? Explain with
suitable example.
130. CHAPTER 2: PYTHON FUNDAMENTALS
Three Marks Questions
1. What are the python naming conventions?
2. Explain the representation of string in python
language.
3. Explain the types of strings supported by
python language.
4. Explain escape sequences.
5. Explain numerical literals supported in python
language.
6. Explain the Floating point literals supported in
python language.
131. CHAPTER 2: PYTHON FUNDAMENTALS
Three Marks Questions
7. Explain the General structure of python
program and give example.
8. What is whitespace how its useful in python
programming?
9. What is input ( ) function? Write down the
general format of input ( ) function and explain
with proper example.
10. What is print ( ) function? Write down the
general format of print ( ) function and explain
with proper example.