eChapters

Take 1 g phenolpathalin powder in a 100 ml volumetric flask. Then add volume up to 100 ml by ethanol (Ethyl alcohol).

Digestion Mixure : This is a mixture of two salt. That is potassium sulfate and cupper sulfate with 9:1 ratio (90 g Potassium sulfate + 10 g Copper sulphate).

100 ppm ‘P’ : By dissolving oven dry KH2 PO4 salt. Take 0.4393 gm of KH2 PO4 and volume to 1 ltr that gives 100 ppm ‘P’.

Take 5 ml/2.5 ml aliquot in a 25 ml volumetric flask.

6.25 HNO3 (for 2 ltr) : Take 181 ml of conc HNO3 and diluted to 2 ltr in a volumetric flask.

Aim : To determine the Calcium in plant sample.

Aim : To determine the Magnesium in plant sample.

Abelia grandifolia Villarreal (Caprifoliaceae): Eng.- Glossy Abelia; Kash.– Abeel [NI]. A vigorous, arching, medium sized semi-evergreen shrub commonly grown in gardens for hedging. Leaves ovate, short petioled, entire, dark glossy-green. Flowers born in axillary cymes and terminal panicles, slightly fragrant, produced over a long period from June to October; sepals 2-5; corolla funnel form, white tinged pale- pink.

Barbarea vulgaris var. taurica (DC) Hook. f. & Anders. (syn. Barbarea vulgaris R. Br.) (Brassicaceae): [W]. A herb of damp soils inhabiting water bodies. Flowers yellow. Leaves used for healing of frost bites.

Cajanus cajan ( L ) Millsp. (Fabaceae): Eng.- Pigeon Pea / Cajan Pea; Hindi – Arhar; Kash.- Lokut Chana [RC]. An annual erect herb, stem woody, leaves trifoliate. Flowers yellowish diffuse red, borne in axillary racemes. Pods flattish with fawn brown coloured seeds having light yellow cotyledons. The pulse has been lately introduced and is under marginal cultivation.

Dactylis glomerata L (syn. Bromus glomeratus (L.) Scop. (Poaceae): Eng.- Orchard Grass; Kash.- Dramun [W]. Perennial bunch grass,usually in dense shaded forest areas. A very important pasture and hay grass of temperate grasslands. Culms glabrous, erect. Inflorescences are erect panicles bearing spikelets in dense one sided clusters.

Echeveria derenbergii DC (Crussulaceae): Eng.- Painted Lady [NI]. A succulent house plant and green house perennial grown for its succulent coloured leaves which are arranged in rosettes. The orange coloured flowers appear in July on raised stem branches

Fagopyrum acutatum (Lehm.) Mansf. ex Hammer (syn. Fagopyrum cymosum (Trev.) Meissn (Polygonaceae): Eng.- Medicinal Buckwheat / Perennial Buckwheat; Hindi – Kutu; Kash.- Tsok Hakh [RC]. A tall branched, puberulous annual growing wild in Drasss, Kargil, Gurez areas at 2800 to 3300 m amsl. Leaves tri-angular; perianth white. Grains acutely 3- cornered.

Gagea lutea (L) Ker Gawl (syn. Gagea elegans Wall ex G Don.): (Liliaceae): Kash.- Koker neeje [W]. A bulbous perennial herb inhabiting open subalpine slopes and forming groups. Leaves narrowly lanceolate. Basal leaf single, angular flat, exceeds the inflorescence, lanceolate linear, longitudinally furrowed at base. Flowers solitary on long pedicles, tepals yellow.

Halerpestes tricuspis (Maxim.) Hand maz. (Ranunculaceae): LadakhiChitaka [W] Annual herb of alpine zone of above 3500 m altitudes. Whole plant used as stomachic and for gastrointestinal problems.

Iberis amara L. (Brassicaceae): Eng.- Candy Tuft [NI]. Half hardy annual ornamental herb. Leaves light green, lanceolate. Flowers borne in corymbs of light fragrant flowers, ranging in colour from white through pink to red purple.

Jaeschkea oligosperma Knobl. (Gentianaceae): Ladakhi- Tikta [W]. Annual herb, along scrubby alpine slopes of Ladakh. Leaves lanceolate, blunt. Flowers bluish to reddish purple. The plant is consumed raw as blood purifier.

Kerria japonica var. pleniflora Witte. (Rosaceae): Eng.- Jew’s Mallow / Japanese Rose [NI]. A deciduous ornamental shrub with vigorous and upright green shoots; alternate, ovate, pointed, sharply toothed, bright green leaves; produces very attractive, solitary, pompon like, double yellow flowers in April.

Laburnum anagyroides Med. (Fabaceae): Eng.- Golden Rain Tree [NI]. An upright, small sized ornamental tree with hairy, grey-green young shoots. Leaves dark- green above and grey-green beneath, having 3-elliptic-obovate leaflets. In late April to early May, produces bright yellow flowers in dense racemes

Magnolia aquilfolium (Pursh.) Nutt. cv. Orange Flame (Magnoliaceae) [NI]. An open suckering erect shrub. Leaves ovate to elliptic, spinytoothed, leaflets dark-green changing in colors during seasons. Flowers are yellow borne in densely clustered racemes in late March to mid April.

Nandina domestica Thunb. (Berberidaceae): Eng.- Chinese Sacred Bamboo [NI]. An evergreen or semi-evergreen ornamental shrub with upright shoots. Leaves mostly bi-to tripinnate, rich green purple on fall. Flowers star shaped, white with large yellow anthers, in erect panicles followed by long lasting, spherical bright red fruit.

Ocimum basilicum L. (Lamiaceae): Eng.- Sweet Basil; Hindi- Ban tulsi; Kash.-Baber [RC]. A cultivated aromatic herb grown for its seed. Flowers showy, light blue, fragrant. Leaves used for flavouring purposes. Seeds used for preparing refreshing drinks/ sharbats.

Paeonia emodi Royle. (Paeoniaceae): Eng.- Himalayan Paeony; HindiUdsalap; Kash.- Mamekh [W]. A shurby perennial, found in W. Himalayas from Kashmir to Kumoan at 2400- 3300 m altitudes. Flowers yellowish white with a bunch of orange-yellow stamens.

Quercus baloot Griffith (Fagaceae): Eng.- Holy Oak; Kash.- Jamal Gota/ Baloote Kashmir [W/UC]. A small rounded evergreen tree. Leaves are coriaceous, oblong-ovate to lance shaped, entire or with spiny -toothed margins. Acorns oblong-ovoid to nearly rounded, solitary or in groups of 2 or 3. Grows as a hard wood element of forests. Also grown as ornamental.

Rabdosia rugosa (Wallich ex Benth.) Hara (Lamiaceae): [W]. An erect branched leafy shrub or under-shrub growing as high altitude shrub above 2000 m altitudes on alpine slopes.Leaves ovate, wrinkled, hairy, coarsely toothed, conspicuously grey-woolly beneath, in contrast to green wrinkled upper surface. Flowers tiny, fragrant, white, spotted with purple. Shrub is of great significance for honey bee colonies.

Sagittaria sagittifolia L. (Alismataceae):Eng.- Old World Arrow Head; Hindi- Chotakut; Kash.- Kyou [W]. Perennial herb inhabiting shallow water ponds, swampy rice fields. Leaves arrow shaped. Flowers have small sepals and three white petals, numerous purple stamens.Tubers edible (Figs. S 1, 2).

Tagetes erecta L. (syn. Tagetes patula L.) (Asteraceae): Eng.- French Marigold; Hindi- Genda / Gule jafre; Kash.- Jaffre / Bata poshe [NI]. A herbaceous annual, naturalized in N W Himalayas and grown for border as well as bedding plant. Both double and single forms are cultivated. Double forms are golden yellow and carnation like

Ulmus parvifolia Jacq. (Ulmaceae): Eng. – Chinese Elm; Ladakhi Shampoo Tree / Yumbuk [W]. A small to medium deciduous tree growing upto 12 m tall, across the region as a temperate woody element. Leaves leathery, toothed and lustrous green. Trunk has a handsome, flaking bark of mottled greys with tans and reds. Also used as a landscape tree. In Ladakh the bark of the plant used as shampoo to promote hair growth.

Vaccaria hispanica (Mill.) Rauschert. (Syn. Saponaria vaccaria L.) (Caryophyllaceae): Eng.- Cow Soapwort/ Cow Basil [W]. Annual herb,as weed of orchards.Plant has blue-grey, waxy herbage and pale pink flowers. Used traditionally to relieve body swellings.

Waldhemia glabra (Decne.) Regel. (Asteraceae): Eng.- Smooth Ground Daisy [W] A tufted mat forming, aromatic high altitude plant of drier areas of Kashmir Himalaya at 4000-5000 m altitudes. Leaves wedge shaped and bluntly 3-5 lobed, occur in rosettes. Flower heads solitary on stems, pink to purple ray florets, disc florets yellow. Whole plant used for rheumatism.

Xanthium strumarium L. (Asteraceae): Eng.- Common Cocklebur; Kash.- Tcheere [W]. An annual herb usually inhabiting disturbed soils. Leaves simple, alternate. Flower heads are borne in leaf axils and have disc florets only.

Youngia tenuifolia (Willd.) Babc. & Stebb. (Asteraceae): Ladakhi– Neu [W]. A perennial herb of high altitude cold arid areas.

Zantedeschia aethiopica (L.) Spreng. (syn. Calla aethiopica L.) (Araceae): Eng.- Arum Lily; Hindi – Iram sousan [NI]. A rhizomatous perennial, suitably planted in moist and shaddy situations and under green house conditions.

1.1 Introduction

Python is an interpreter, high level, general purpose programming language developed by Guido Van Rossum and its first version was released in 1991. There are two major Python versions: Python 2 and Python 3. Both are quite different.

1.2 Beginning with Python Programming

1.2.1 Finding an Interpreter

Before we start Python programming, we need to have an interpreter to interpret and run our programs.

Windows: There are many interpreters available freely to run Python scripts like IDLE (Integrated Development Environment) that comes bundled with the Python software downloaded from http://python.org/.

Linux: Python comes preinstalled with popular Linux distros such as Ubuntu and Fedora. To check which version of Python you’re running, type “python” in the terminal emulator. The interpreter should start and print the version number.

macOS: Generally, Python 2.7 comes bundled with macOS. You’ll have to manually install Python 3 from http://python.org/.

2.1 Operators

Operators are those who perform some specific operation. Python has a wide variety of operators. The various python operators are categorized into:

1. Arithmetic operators

2. Comparison/relational operators

3. Assignment operators

4. Logical operators

5. Identity operators

6. Membership operators

7. Bitwise operator

3.1 Control statement in python

Python statements are executed one by one in the same order as they appear in the program. But there may be some requirement when we want to execute the statements based upon a condition. Even there may be some situation where we want to execute a single statement or multiple statement (block of statement) “n” times till the condition is true. So in order to control the flow of execution of the program python provides us control statements.

There are two types of control statements:

(a) Selection statement

(i) if

(b) Looping condition

(i) While (ii) for

4.1 Introduction to Function in Python

Python Functions is a block of related statements designed to perform a computational, logical, or evaluative task. The idea is to put some commonly or repeatedly done tasks together and make a function so that instead of writing the same code again and again for different inputs, we can do the function calls to reuse code contained in it over and over again. Functions can be both built-in or user-defined.

Function means sub-program

1. Function definition

2. Function call

Example:

def message: #function definition

print(?hello python”)

message() #function call

5.1 String Statement

String in python is stored as individual characters i.e. indexed wise. The index by default starts with 0.

So, here P will be represented by str[0] or str[-6], y will be represented by str[1] or str[-5]

Note: strings are immutable and hence you cannot change the individual letters of string using assignment operator.

Example:

name=“shyam”

Name[0]=“A”

Result error

6.1 List Introduction

1. List is a collection of different values or different types of items.

2. Unlike array in c/c++/java a list is capable of storing different types of values under one roof.

3. The items in the list are separated with the comma (,) and enclosed with the square brackets [].

4. List provides us the facility to store multiple types of in a single unit.

Example:

a=[“ram”,1,“shyam”,12.5]

b=[1,2,3,4]

a[0]=ram

a=[“ram”,1,“shyam”,12.5]

print(a)

print(a[0])

ram

7.1 Tuple Introduction

A tuple is a collection which is order and unchangeable. In python tuples are written with round brackets. Tuples in python are very similar to list which contains different types of elements with the following major differences.

It is declared as

tuple1=(1,2,3,“ram”,“shyam”)

Program implementation import timeit

listtime=timeit.timeit(stmt=“[1,2,3,4,5,6,7,8,9]”,number=1000000)

tupletime=timeit.timeit(stmt=“(1,2,3,4,5,6,7,8,9)”,number=1000000)

print(?List takes time:”, listtime)

print(?Tuple takes time:”, tupletime)

8.1 Introduction to Dictionary in Python

A dictionary is a collection which is unordered changeable and index. In python dictionaries are written within curly brackets, and they have keys and values. Means the dictionary contains two things first is the key and the second is the value.

8.1.1 Create and Print a Dictionary

Example

dict1={‘brand’:‘Suzuki’,‘model’:‘dzire’,‘year’:2020}

print(dict1)

Accessing items: you can access the items of a dictionary by referring to its key name, inside square brackets.

Example

Accessing items: there is also a method called get() for the same task.

dict1={‘brand’:‘Suzuki’,‘model’:‘dzire’,‘year’:2020}

print(dict1)

y=dict1.get(?model”)

print(y)

9.1 Introduction Numpy

Numpy: is apython package which stands for “Numerical python”.

This was created in 2005 by Travis Oliphant.

Using numpy we can perform the following functionalities:

1. Mathematical and logical calculation on array.

2. Fourier transforms and routines for shape manipulation.

3. It has built in functions for linear algebra random number generation.

4. Used for scientific calculations.

5. It is faster than python list.

6. It is fast because it is associated with c programming.

NumPy is often called as an alternate for MatLab (a programming platform designed specifically for engineers and scientists for data analysis, developing algorithms, create models and application etc.)

10.1 Lambda Function

Lambda Function or anonymous function in python programming

A lambda function can take any number of arguments, but can only have one expression.

Syntax:

Lambda arguments: expression only single line

The expression is executed and the result is returned.

Example

x=lambda a:a+10

Print(x(5))

11.1 Introduction

Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. The name Pandas is derived from the word Panel Data - an Econometrics from Multidimensional data.

In 2008, developer Wes McKinney started developing pandas when in need of high performance, flexible tool for analysis of data.

Prior to Pandas, Python was majorly used for data munging and preparation. It had very little contribution towards data analysis. Pandas solved this problem. Using Pandas, we can accomplish five typical steps in the processing and analysis of data, regardless of the origin of data - load, prepare, manipulate, model, and analyze.

Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.

12.1 Introduction Basic Functionality

By now, we learnt about the three Pandas DataStructures and how to create them. We will majorly focus on the DataFrame objects because of its importance in the real time data processing and also discuss a few other DataStructures.

12.2 Series Basic Functionality

Let us now create a Series and see all the above tabulated attributes operation

Example

import pandas as pd

import numpy as np

#Create a series with 100 random numbers

s = pd.Series(np.random.randn(4))

print(s)

Its output is as follows:

0 0.967853

1 -0.148368

2 -1.395906

3 -1.758394 dtype: float64

13.1 Statistical Functions

Statistical methods help in the understanding and analyzing the behavior of data. We will now learn a few statistical functions, which we can apply on Pandas objects.

Percent_change

Series, DatFrames and Panel, all have the function pct_change(). This function compares every element with its prior element and computes the change percentage.

Example

import pandas as pd

import numpy as np

s = pd.Series([1,2,3,4,5,4])

print s.pct_change()

df = pd.DataFrame(np.random.randn(5, 2))

print(df.pct_change())

14.1 Basic Plotting: plot

This functionality on Series and DataFrame is just a simple wrapper around the matplotlib libraries plot() method.

Example

import pandas as pd

import numpy as np

df = pd.DataFrame(np.random.randn(10,4),index=pd.date_range(‘1/1/2000’, periods=10), columns=list(‘ABCD’))

df.plot()

Its output is as follows:

If the index consists of dates, it calls gct().autofmt_xdate() to format the x-axis as shown in the above illustration.

15.1 Data Visualization

Data visualization is the graphical representation of information and data. By using different visual elements like charts, graphs and maps. Data visualization tool provides easy way to see the understand the data and related trend/pattern.

1. There are multiple tools available for data visualization using which we can perform data visualization.

2. In python we can use a library called “matplot” for data visualization.

3. Python based plotting library “matplotlib” enables us to produce 2D as well as 3D graphics i.e. charts/graphs.

4. Pyplot interface of matplotlib is used for representing 2D graphs.

16.1 OOP in python

Object-oriented programming (OOP) is a programming language model which organized object and data.

16.1.1 What is Encapsulation

If same variable is reapet in two different palce then which problem is solved using encapsulation it means one variable is making private otherwise program generate error.

16.1.2 Abstraction

Abstraction in Python is the process of hiding the real implementation of an application from the user and emphasizing only on usage of it. For example, consider you have bought a new electronic gadget. Along with the gadget, you get a user guide, instructing how to use the application, but this user guide has no info regarding the internal working of the gadget.

Another example is, when you use TV remote, you do not know how pressing a key in the remote changes the channel internally on the TV. You just know that pressing + volume key will increase the volume.

17.1 Modules

• A module is a file containing python definitions and statements.

• A python module is (.py file) containing variables, class definitions, statement and function related to a particular task. The major feature of having module is that its content can be reused in other programs, without having to rewrite or recreate them.

• They are executed only the first time the module name is encounter in an import statement.

Type of modules:

• User defined modules

• Built-in modules

Ex.-array, math, numpy, sys, etc.