Textbook Solutions refer https://pythonxiisolutions.blogspot.com/
Practical's Solutions refer https://prippython12.blogspot.com/
Computer program works with files. This is because files help in storing information permanently. A file is a bunch of bytes stored on some secondary storage devices.
Textbook Solutions refer https://pythonxiisolutions.blogspot.com/
Practical's Solutions refer https://prippython12.blogspot.com/
Computer program works with files. This is because files help in storing information permanently. A file is a bunch of bytes stored on some secondary storage devices.
Most commonly used commands and functions that are used for reading and writing text files in Python 3.x. Therefore, these commands are used for manipulating file objects.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but alike other concepts of Python, this concept here is also easy and short. Python treats file differently as text or binary and this is important. Each line of code includes a sequence of characters and they form text file. Each line of a file is terminated with a special character, called the EOL or End of Line characters like comma {,} or newline character. It ends the current line and tells the interpreter a new one has begun. Let’s start with Reading and Writing files.
Most commonly used commands and functions that are used for reading and writing text files in Python 3.x. Therefore, these commands are used for manipulating file objects.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but alike other concepts of Python, this concept here is also easy and short. Python treats file differently as text or binary and this is important. Each line of code includes a sequence of characters and they form text file. Each line of a file is terminated with a special character, called the EOL or End of Line characters like comma {,} or newline character. It ends the current line and tells the interpreter a new one has begun. Let’s start with Reading and Writing files.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
2. The plan!
Basics: data types (and operations & calculations)
Basics: conditionals & iteration
Basics: lists, tuples, dictionaries
Basics: writing functions
Reading & writing files: opening, parsing & formats
Working with numbers: numpy & scipy
Making plots: matplotlib & pylab
… if you guys want more after all of that …
Writing better code: functions, pep8, classes
Working with numbers: Numpy & Scipy (advanced)
Other modules: Pandas & Scikit-learn
Interactive notebooks: ipython & jupyter
Advanced topics: virtual environments & version control
3. reading from a file
---- smallfile.txt ----
apple
dog
hammock
4. reading from a file
# lets open and read a small file
file_handle = open("smallfile.txt", "rU")
content = file_handle.read()
print content
# close the file :)
file_handle.close()
---- smallfile.txt ----
apple
dog
hammock
reading a file
handle = open("filename", "rU")
do stuff
handle.close()
5. reading from a file
# lets open and read a small file
file_handle = open("smallfile.txt", "rU")
content = file_handle.read()
print content
# close the file :)
file_handle.close()
# we can only do this once after opening a file
file_handle = open("smallfile.txt", "rU")
content = file_handle.read()
print content
content = file_handle.read()
print content
# close the file :)
file_handle.close()
---- smallfile.txt ----
apple
dog
hammock
reading a file
handle = open("filename", "rU")
do stuff
handle.close()
6. reading from a file
# lets read it line by line
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print "Line:", line
# close the file :)
file_handle.close()
# them hidden newline characters...
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print len(line)
# close the file :)
file_handle.close()
Reading a file, line by line
handle = open("filename", "rU")
for line in handle:
do stuff
handle.close()
7. reading from a file
# lets read it line by line
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print "Line:", line
# close the file :)
file_handle.close()
Reading a file, line by line
handle = open("filename", "rU")
for line in handle:
do stuff
handle.close()
8. reading from a file
# lets read it line by line
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print "Line:", line
# close the file :)
file_handle.close()
# them hidden newline characters...
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print len(line)
# close the file :)
file_handle.close()
---- smallfile.txt ----
applen
dogn
hammockn
Reading a file, line by line
handle = open("filename", "rU")
for line in handle:
do stuff
handle.close()
9. reading from a file
# lets read it line by line
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
print "Line:", line
# close the file :)
file_handle.close()
# them hidden newline characters...
file_handle = open("smallfile.txt", "rU")
for line in file_handle:
line_cleaned = line.strip()
print line
# close the file :)
file_handle.close()
---- smallfile.txt ----
applen
dogn
hammockn
Reading a file, line by line
handle = open("filename", "rU")
for line in handle:
line_cleaned = line.strip()
do stuff
handle.close()
10. writing to a file
# lets read it line by line
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc")
# close the file :)
file_handle.close()
# we can keep on writing to the file while its open
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc.")
file_handle.write("It's a fine day.")
file_handle.write("People open windows..")
# close the file :)
file_handle.close()
removing the "n"
handle = open("filename", "w")
handle.write(some_string)
handle.close()
11. writing to a file
# lets read it line by line
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc")
# close the file :)
file_handle.close()
# we can keep on writing to the file while its open
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc.n")
file_handle.write("It's a fine day.n")
file_handle.write("People open windows.n")
# close the file :)
file_handle.close()
removing the "n"
handle = open("filename", "w")
handle.write(some_string)
handle.close()
12. writing to a file
# lets read it line by line
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc")
# close the file :)
file_handle.close()
# we can keep on writing to the file while its open
file_handle = open("myfile.txt", "w")
file_handle.write("My name is Marc.n")
file_handle.write("It's a fine day.n")
file_handle.write("People open windows.n")
# close the file :)
file_handle.close()
# lastly, we can ONLY write strings:
file_handle = open("myfile.txt", "w")
file_handle.write(10000) # will not work
file_handle.write("10000" + "n") # is better
# close the file :)
file_handle.close()
removing the "n"
handle = open("filename", "w")
handle.write(some_string)
handle.close()
13. exercises!
- Write function that takes three inputs (numbers x, y and z), and produces the
result of : a + b - c. Use return to be able to store and use the value later.
version 2: as above, but if no numbers for b or c are specified, use 5 and 10 as default
values.
---- testfile.txt ----
apple
dog
hammock
14. exercises!
words.txt
- Get the file “words.txt”.
- How many words are there in the file?
- How often does the word “megacycle” occur?
numbers.txt
- Get the file “numbers.txt”.
- How many numbers are there in the file?
- What is the sum of all of the numbers?
mydata.txt
- Create a program that asks a user for the a)
Name, b) favourite color and c) the average
flight speed of a swallow, and saves these to a
text file (see exaple).
---- output.txt ----
Name: Marc
Favourite Color: Orange
Average speed of swallow: 12