diff --git a/Project/analize.py b/Project/analize.py
new file mode 100644
index 0000000..9a30643
--- /dev/null
+++ b/Project/analize.py
@@ -0,0 +1,38 @@
+from scipy.optimize import curve_fit
+from numpy import linspace
+
+from numpy import tanh
+from scipy.constants import e, k
+
+
+import pandas as pd
+
+
+# Global variables
+
+new_U = linspace(-25, 25, 1000)
+
+
+# Function for approximation
+
+
+def function_IU(U, I_n, T_e):
+    return I_n * tanh(e*U/2/k/T_e)
+
+# Find the best fit params of In and Te
+
+
+def find_FitParams(data_I, data_U):
+    popt, pcov = curve_fit(function_IU, data_U, data_I, p0=[0, 50000])
+    return popt, pcov
+
+# Returns pandas.DataFrame with approximated Current and Voltage values
+
+
+def getApproxValues(data):
+    data = data.sort_values(by=['U'])
+    popt, pcov = find_FitParams(data['I'], data['U'])
+    df = pd.DataFrame()
+    df['U'] = new_U
+    df['I'] = function_IU(df['U'], *popt)
+    return df
diff --git a/Project/rw_device_params.py b/Project/rw_device_params.py
new file mode 100644
index 0000000..bf44fb0
--- /dev/null
+++ b/Project/rw_device_params.py
@@ -0,0 +1,33 @@
+# Dict for all devices params
+
+all_params = {'func': 0, 'status': 1, 'name': 2,
+              'id': 3, 'type_of_connection': 4, 'baud_rate': 5}
+
+# Read device params from .dat device file
+
+
+def read_device_params(name):
+    file = open('data/{}.dat'.format(name), 'r')
+    params = file.readline().split()
+    file.close()
+    return params
+
+# Change device params in .dat device file
+
+
+def write_device_params(name, param, value):
+
+    try:
+        file = open('data/{}.dat'.format(name), 'r+')
+        params = file.readline().split()
+        if value != '':
+            params[all_params[param]] = str(value)
+        else:
+            params[all_params[param]] = 'none'
+        file.seek(0)
+        file.truncate()
+        file.write(' '.join(params))
+        file.close()
+
+    except IndexError:
+        print('ErrorType = FileError: File.dat for this device does not exist')
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