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This document discusses Calico Docker+IPAM and provides examples of how to:
1. Create a Calico IP pool
2. Create a Docker network using the IP pool
3. Create a container using a specific IP address from the pool
It also describes the 'calicoctl ipam release' command to release an IP address that was previously assigned to an endpoint.
If your concepts for C++ are weak then have a look at this
this will help you to know some concepts.If Any query plz tell me about C++ .
Also check my last uploads
and Please Do follow
The C++ compilation process involves pre-processing, compilation, assembly, and linking steps. Pre-processing expands macros, removes comments, and includes header files. Compilation performs syntax checking, error detection, and code optimization to generate assembly code. Assembly converts the assembly code into object files. Linking combines multiple object files and libraries into a single executable binary or ELF file.
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This document provides instructions for installing Python and common Python libraries on Windows. It recommends downloading the Python installer, checking the option to add Python to the PATH, and then using pip to install libraries from .whl files downloaded from a specific URL. It describes adding the Python and Scripts directories to the system PATH variable for permanent use of pip and Python in the command prompt. Verification of successful installation is also covered.
C programming was created by Dennis Ritchie in 1972 to design and support the Unix operating system. It has only 27 original keywords and is easy to build compilers for, making it portable across many platforms. In 1983, ANSI formed a committee to standardize C as ANSI C. C is intended for programmers as a powerful, efficient yet structured language. A basic "Hello World" program is presented to demonstrate a simple C program structure.
The document discusses the use of the "calicoctl container" command to manage container networking with Calico. Specifically, it describes how to add and remove containers from the Calico network by assigning IP addresses, and how to add and remove IP addresses from existing Calico-enabled containers. Examples of usage are provided.
This document discusses Calico Docker+IPAM and provides examples of how to:
1. Create a Calico IP pool
2. Create a Docker network using the IP pool
3. Create a container using a specific IP address from the pool
It also describes the 'calicoctl ipam release' command to release an IP address that was previously assigned to an endpoint.
If your concepts for C++ are weak then have a look at this
this will help you to know some concepts.If Any query plz tell me about C++ .
Also check my last uploads
and Please Do follow
The C++ compilation process involves pre-processing, compilation, assembly, and linking steps. Pre-processing expands macros, removes comments, and includes header files. Compilation performs syntax checking, error detection, and code optimization to generate assembly code. Assembly converts the assembly code into object files. Linking combines multiple object files and libraries into a single executable binary or ELF file.
The document introduces the Python debugger (pdb) which allows developers to pause a Python program, examine variables, and step through code line-by-line or function-by-function. Pdb can be started from the command line using "python -m pdb filename" or by inserting "import pdb; pdb.set_trace()" in the code. The document describes common pdb commands like list, where, step, next, up and down that allow debugging and navigating the call stack.
This document provides instructions for installing Python and common Python libraries on Windows. It recommends downloading the Python installer, checking the option to add Python to the PATH, and then using pip to install libraries from .whl files downloaded from a specific URL. It describes adding the Python and Scripts directories to the system PATH variable for permanent use of pip and Python in the command prompt. Verification of successful installation is also covered.
C programming was created by Dennis Ritchie in 1972 to design and support the Unix operating system. It has only 27 original keywords and is easy to build compilers for, making it portable across many platforms. In 1983, ANSI formed a committee to standardize C as ANSI C. C is intended for programmers as a powerful, efficient yet structured language. A basic "Hello World" program is presented to demonstrate a simple C program structure.
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Python was developed by Guido Van Rossum in 1991. It is a high-level language that incorporates features from functional and object-oriented programming languages like C and Java. A Python program's source code is first compiled to bytecode, which is then executed by the Python Virtual Machine (PVM) and converted to machine code. The PVM allocates and deallocates memory automatically, so programmers do not need to manage memory manually.
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Python modules allow programmers to split code into multiple files for easier maintenance. A module is simply a Python file with a .py extension. The import statement is used to include modules. Modules can be organized into packages, which are directories containing an __init__.py file. Popular third party modules like ElementTree, Psyco, EasyGUI, SQLObject, and py.test make Python even more powerful.
Python was developed by Guido van Rossum and named after the BBC show Monty Python's Flying Circus. It is an interpreted, interactive, and object-oriented programming language that allows developers to write code in fewer lines compared to other languages. Python code is highly readable due to its use of indentation instead of brackets and its support for modular programming.
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Python is a popular programming language created by Guido van Rossum in 1991. It is easy to use, powerful, and versatile, making it suitable for beginners and experts alike. Python code can be written and executed in the browser using Google Colab, which provides a Jupyter notebook environment and access to computing resources like GPUs. The document then discusses installing Python using Anaconda, basic Python concepts like indentation, variables, strings, conditionals, and loops.
This is the detail guide of MakePython ESP32, With the 12 experiments, the readers will be able to make simple electronic projects with MicroPython on ESP32, and the basic knowledge& setting up of IoT projects.
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Complete MPICH2 Clustering Manual in Linux Ubuntu for beginners.
Documented in 3rd year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
This document provides an introduction and overview of Python, including how to install and use it. It discusses that Python is an interpreted, general purpose, high-level programming language used for software development, web development, system scripting, and mathematics. It then covers features of Python like being easy to use, cross-platform, and having a large library of support. The document also lists some shortcomings and provides step-by-step instructions on downloading and installing Python on different operating systems. Finally, it explains how to use Python interactively and through script files.
This document discusses Python functions and modules. It explains that functions are named blocks of code that perform computations, and modules allow code reuse through importing definitions from other files. It provides examples of defining functions, importing modules, and using built-in and user-defined functions. It also covers topics like function parameters, scopes, and default arguments.
CLASS-11 & 12 ICT PPT Functions in Python.pptxseccoordpal
ICT skills are abilities that help you understand and operate a wide range of technology software. This can include helping users with tasks on computers, such as making video calls, searching on the internet or using a mobile device like a tablet or phone.
The document discusses Python programming language. It provides an introduction to Python, describing it as an interpreted, high-level and general-purpose programming language. It then covers various data types in Python including numbers, strings, booleans, lists, tuples, sets and dictionaries. The document also discusses operators in Python like arithmetic, comparison, logical and bitwise operators. Finally, it explains how to work with Python in both interactive and script modes.
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This document provides an introduction to getting started with Python programming. It explains the difference between interpreted and compiled languages, walks through a simple "Hello World" Python program, and covers basic Python concepts like variables, data types, and creating and running Python files. The introduction creates a Python directory, touches a hello_world.py file, makes the file executable, adds the Python shebang and print statement, and runs the program to output "Hello World". It also defines common Python data types like integers, floats, booleans, strings, lists, tuples, and dictionaries.
Chapter 1 Class 12 Computer Science Unit 1ssusera7a08a
The document discusses the basics of Python programming language. It provides an introduction to Python, describing how it is an interpreted, high-level and general-purpose programming language. It then covers Python features, data types, operators, and how to work in both interactive and script modes in Python. The document also discusses topics like variables, data handling, arithmetic operators, comparison operators, and more with examples.
Hands on Raspberry Pi - Creative Technologistsbennuttall
The document provides instructions for hands-on experiments with a Raspberry Pi, including connecting hardware components, navigating the command line interface, writing and running simple Python programs, and interacting with GPIO pins to control an LED and camera. Some key steps covered are logging into the Pi, exploring basic Python commands, blinking an LED using a Python script, taking photos with the Pi camera using Python, and triggering photos with a button press. The document aims to introduce basic Raspberry Pi and Python skills through a guided tutorial.
This document provides a step-by-step tutorial for scripting with Python in PowerFactory. It begins with an introduction to importing a sample project and creating a Python command object to contain Python scripts. Basic examples are shown for accessing PowerFactory functions like working with parameters and objects, executing calculations, and plotting results. More advanced topics are then introduced. The tutorial focuses on PowerFactory-specific scripting methods and assumes basic Python knowledge. Example scripts are provided and discussed to demonstrate executing a load flow calculation, accessing network objects and their parameters, and the anatomy of a Python command object.
The document discusses Python programming for beginners, describing Python as a high-level programming language used for general purpose programming that employs object-oriented approach, and introduces its Integrated Development Environment (IDLE) which allows running Python code interactively and editing/saving Python files. IDLE is used to write, run, test, and debug Python code, displaying a shell prompt where commands can be entered and code can be run by selecting options from the Run menu.
Python was developed by Guido Van Rossum in 1991. It is a high-level language that incorporates features from functional and object-oriented programming languages like C and Java. A Python program's source code is first compiled to bytecode, which is then executed by the Python Virtual Machine (PVM) and converted to machine code. The PVM allocates and deallocates memory automatically, so programmers do not need to manage memory manually.
The document discusses Python programming concepts like running Python programs, the Python virtual machine, importing and reloading modules, and taking input. It provides examples of running Python code from the interactive shell and command line, how the .py and .pyc files work, and importing modules and functions from different files. The document also presents a practice problem on generating the Fibonacci sequence.
Python modules allow programmers to split code into multiple files for easier maintenance. A module is simply a Python file with a .py extension. The import statement is used to include modules. Modules can be organized into packages, which are directories containing an __init__.py file. Popular third party modules like ElementTree, Psyco, EasyGUI, SQLObject, and py.test make Python even more powerful.
Python was developed by Guido van Rossum and named after the BBC show Monty Python's Flying Circus. It is an interpreted, interactive, and object-oriented programming language that allows developers to write code in fewer lines compared to other languages. Python code is highly readable due to its use of indentation instead of brackets and its support for modular programming.
Cython allows Python code to be compiled to C/C++ extensions for improved performance. It is a superset of Python that adds static type declarations for variables and functions. This allows Cython code to be compiled to efficient C/C++ code while retaining the syntax and functionality of Python. The document provides an overview of Cython and examples demonstrating how to install Cython, write basic Cython modules, optimize Python code with static types, call C functions from Cython, and interface with C/C++ libraries.
Share your code with the Python world by creating pip packagesHannes Hapke
This presentation is a lightning talk about creating pip packages. In a few steps, you will be guided through the short and non-complex process of how to create pip packages for the Python world.
How to setup Pycharm environment for Odoo 17.pptxCeline George
Setting up a development environment for odoo using pycharm is highly preferred by odoo developers to develop and debug odoo modules and other related functionalities .
Python is a popular programming language created by Guido van Rossum in 1991. It is easy to use, powerful, and versatile, making it suitable for beginners and experts alike. Python code can be written and executed in the browser using Google Colab, which provides a Jupyter notebook environment and access to computing resources like GPUs. The document then discusses installing Python using Anaconda, basic Python concepts like indentation, variables, strings, conditionals, and loops.
This is the detail guide of MakePython ESP32, With the 12 experiments, the readers will be able to make simple electronic projects with MicroPython on ESP32, and the basic knowledge& setting up of IoT projects.
This is the detailed guide of MakePython ESP32 dev kit, With the 12 experiments, the readers will be able to make simple electronic projects with MicroPython on ESP32, and the basic knowledge& setting up of IoT projects.
Complete MPICH2 Clustering Manual in UbuntuMinhas Kamal
Complete MPICH2 Clustering Manual in Linux Ubuntu for beginners.
Documented in 3rd year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
This document provides an introduction and overview of Python, including how to install and use it. It discusses that Python is an interpreted, general purpose, high-level programming language used for software development, web development, system scripting, and mathematics. It then covers features of Python like being easy to use, cross-platform, and having a large library of support. The document also lists some shortcomings and provides step-by-step instructions on downloading and installing Python on different operating systems. Finally, it explains how to use Python interactively and through script files.
This document discusses Python functions and modules. It explains that functions are named blocks of code that perform computations, and modules allow code reuse through importing definitions from other files. It provides examples of defining functions, importing modules, and using built-in and user-defined functions. It also covers topics like function parameters, scopes, and default arguments.
CLASS-11 & 12 ICT PPT Functions in Python.pptxseccoordpal
ICT skills are abilities that help you understand and operate a wide range of technology software. This can include helping users with tasks on computers, such as making video calls, searching on the internet or using a mobile device like a tablet or phone.
The document discusses Python programming language. It provides an introduction to Python, describing it as an interpreted, high-level and general-purpose programming language. It then covers various data types in Python including numbers, strings, booleans, lists, tuples, sets and dictionaries. The document also discusses operators in Python like arithmetic, comparison, logical and bitwise operators. Finally, it explains how to work with Python in both interactive and script modes.
The Python Book_ The ultimate guide to coding with Python ( PDFDrive ).pdfssuser8b3cdd
This document provides an introduction to getting started with Python programming. It explains the difference between interpreted and compiled languages, walks through a simple "Hello World" Python program, and covers basic Python concepts like variables, data types, and creating and running Python files. The introduction creates a Python directory, touches a hello_world.py file, makes the file executable, adds the Python shebang and print statement, and runs the program to output "Hello World". It also defines common Python data types like integers, floats, booleans, strings, lists, tuples, and dictionaries.
Chapter 1 Class 12 Computer Science Unit 1ssusera7a08a
The document discusses the basics of Python programming language. It provides an introduction to Python, describing how it is an interpreted, high-level and general-purpose programming language. It then covers Python features, data types, operators, and how to work in both interactive and script modes in Python. The document also discusses topics like variables, data handling, arithmetic operators, comparison operators, and more with examples.
Hands on Raspberry Pi - Creative Technologistsbennuttall
The document provides instructions for hands-on experiments with a Raspberry Pi, including connecting hardware components, navigating the command line interface, writing and running simple Python programs, and interacting with GPIO pins to control an LED and camera. Some key steps covered are logging into the Pi, exploring basic Python commands, blinking an LED using a Python script, taking photos with the Pi camera using Python, and triggering photos with a button press. The document aims to introduce basic Raspberry Pi and Python skills through a guided tutorial.
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2. Program Execution
Step 1: Create source code
Write a Python program through Python IDLE or any text editor
and save the program with ‘.py’ file extension.
Step 2: Run source code
We can run Python source code in two ways:
1. Through Python IDLE
2. Through system command prompt
3. Program Execution
Through Python IDLE:
Open your source code file in IDLE
Click ‘Run’ menu, select ‘Run module’ command or press
‘F5’
4. Program Execution
Through system command prompt:
Open system command prompt.
Change current directory to Python local directory.
Use ‘python’ command with source code file name.
F:PYTHON>python if.py
Enter first value::
34
Enter second value::
67
Addition = 101
5. Program Execution
Python Compiler
Source code
sum.py
Byte code
sum.pyc
Python Virtual Machine
Python Interpreter
Machine code
Processor
Output
Enter first value::
34
Enter second value::
67
Addition = 101
6. Byte Code
Python compiler generate byte code file from source code.
Extension of byte code file is ‘.pyc’.
Byte code file store a set of fixed length instructions.
Length of each instruction is 1 byte.
These instructions represent all operations like arithmetical,
comparison, memory related etc.
Byte code is platform independent.
7. Python Virtual Machine
Main role of PVM is convert byte code to machine code.
PVM contain an interpreter, which make this conversion.
Machine code is machine specific.
Machine code directly executes through processor.
8. Create ‘.pyc’ File
Use following command to create ‘.pyc’ file:
In above command we call Python compiler through
‘python’ command with ‘-m’ option.
‘-m’ option represent module and module name is
‘py_compile’.
All ‘.pyc’ file store in ‘__pycache__’ folder.
F:PYTHON>python -m py_compile source_code_file
9. Create ‘.pyc’ File
We can run ‘.pyc’ file directly
F:PYTHON>python __pycache__if.cpython-37.pyc
Enter first value::
23
Enter second value::
45
Addition = 68
10. Display ‘.pyc’ File
To display contain of ‘.pyc’ file use following command:
Here we use ‘dis’ module to display byte code in human
readable format.
‘dis’ module is also known as ‘disassembler’.
F:PYTHON>python -m dis if.py
11. Flavours Of Python
Cpython:
This compiler implemented in C language.
Here source code converted into bytecode through
some functions written in C language.
PVM interpreter also implemented in C language.
In Cpython we can run C or C++ program.
12. Flavours Of Python
Jython:
This Python flavour design to run Python program on
Java Virtual Machine.
The compiler generate Java byte code from Python
source code, which run in JVM.
Jython libraries useful for both Java and Python.
13. Flavours Of Python
Iron Python:
This Python flavour implemented for Microsoft .net
framework.
Its compiler written in C# language.
This compiler generate an intermediate language from
Python source code, which run on Common Language
Runtime ( CLR ).
14. Flavours Of Python
PyPy:
This Python compiler implemented by RPython
language.
PyPy programs run very fast, because its added ‘Just In
Time’ ( JIT ) compiler in PVM instead of interpreter.