lamda | ⚡️ Android reverse engineering & amp ; automation framework
kandi X-RAY | lamda Summary
kandi X-RAY | lamda Summary
lamda is a Python library. lamda has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can install using 'pip install lamda' or download it from GitHub, PyPI.
⚡️ Android reverse engineering & automation framework | The strongest Android capture/reverse/HOOK & cloud phone/remote desktop/automation auxiliary framework in history, your work has never been easier and faster.
⚡️ Android reverse engineering & automation framework | The strongest Android capture/reverse/HOOK & cloud phone/remote desktop/automation auxiliary framework in history, your work has never been easier and faster.
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lamda has a medium active ecosystem.
It has 3212 star(s) with 481 fork(s). There are 38 watchers for this library.
There were 8 major release(s) in the last 12 months.
There are 11 open issues and 34 have been closed. On average issues are closed in 17 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of lamda is 7.67
Quality
lamda has no bugs reported.
Security
lamda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
lamda does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
lamda releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of lamda
lamda Key Features
No Key Features are available at this moment for lamda.
lamda Examples and Code Snippets
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cd tesseract-layer
./build.sh
./build.sh -l eng,por -m fast # downloads FAST models for English and Portugese
$ ls layer
bin #compiled tesseract binary
data #tesseract language package eng
lib #compiled lib dependencies
python #python dependencies
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"Hello, {name}".Expand(n => "John")
// returns "Hello, John"
"Hello, @name".Expand(n => "John")
// returns "Hello, John"
"Hello, @(name)".Expand(n => "John")
// returns "Hello, John"
"Hello, ${name}".Expand(n => "John")
// returns "Hel
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pd.concat([df1, df1.assign(Project="Admin")],
ignore_index=True).sort_values(["Name", "Project"])
# Name Project Task Hours
# 1 David
# 3 David Admin
# 0 Julia
# 2 Julia
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df = df.assign(**{f'mul3{i}': df[f'tpx{i}'] * df[f'tqy{i}'] * df[f'vtin{i}'] * df['slife1'] for i in range(1,6)})
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N = 5
df[[f'mul3{i}' for i in range(1, N+1)]] = [df[f'tpx{i}'].values * df[f'tqy{i}'].values * df[f'vtin{i}'].values * df['slife1'].values for i in range(1, N+1)]
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curl -X POST http://localhost:9000/2015-03-31/functions/function/invocations -d '{}'
START RequestId: da204eb4-7ff2-4382-85fb-44a01166194b Version: $LATEST
END RequestId: da204eb4-7ff2-4382-85fb-44a01166194b
REPORT
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for r in s[0]:
for r in s:
for r in ['AUC']:
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def get_klambda():
print("Do you wish to plot curves which vary in:")
print("Shape parameter (k) or scale parameter (lambda)?")
global klambda
Lamda = -1
k = -1
while True:
klambda = input("Please select ")
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#ask user if they want a fixed value of k or lambda
def get_klambda():
print("Do you wish to plot curves which vary in:")
print("Shape parameter (k) or scale parameter (lambda)?")
lamda = -1
k = -1
while True:
Community Discussions
No Community Discussions are available at this moment for lamda.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install lamda
You can install using 'pip install lamda' or download it from GitHub, PyPI.
You can use lamda like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use lamda like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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